3D printing technology in concrete construction | Nature Reviews Clean Technology
Nature Reviews Clean Technology (2025)Cite this article
Metrics details
Concrete construction strategies can be material-intensive and labour-intensive and often rely on formwork that produces material waste. 3D printing (3DP) technologies could reduce the materials and time needed in concrete construction and could enable designs to optimize thermal management, energy efficiency and structural monitoring relative to formwork-based construction strategies. In this Review, we discuss 3D concrete printing and its application in construction. Large gantry printers and robotic arms have been used in the construction of houses (~100 m2), buildings (exceeding 1,000 m2) and other infrastructures, including bridges with spans up to 30 m. Advances in design and printer control, such as using topological optimization, allow for material efficiency (saving up to 70% materials) and use of features for thermal management and incorporation of vegetation into buildings. Strategies to integrate sensors for structural monitoring and materials for energy storage and thermal management of 3DP are also being developed. For example, self-sensing 3DP concrete has been integrated for structural health monitoring, and there are efforts to incorporate phase change materials to enhance thermal management. However, concrete 3DP ink has a high proportion of cement (owing to the need to balance pumpability and extrudability with buildability during printing), which increases the embodied carbon associated with 3DP concrete construction. Low-carbon inks and use of waste-derived materials are, therefore, needed to reduce the life-cycle impact and embodied carbon of 3DP concrete structures.
3D printing (3DP) concrete construction technologies enable materials efficiency and structural integrity in designs. Through the use of topological optimization, more than 50% of material savings relative to conventional construction methods have been reported.
Owing to extrudability, pumpability and buildability constraints, printable inks require more cement than conventional concrete (often > 40% of the volume).
Low-carbon inks and materials reuse are being developed to mitigate the environmental impact associated with increased cement usage.
3DP can enable structural designs to be multifunctional and integrate thermal management, structural monitoring strategies and green walls or other vegetation.
This is a preview of subscription content, access via your institution
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
Prices may be subject to local taxes which are calculated during checkout
World Green Building Council. Beyond the Business Case Report https://worldgbc.org/wp-content/uploads/2022/08/WorldGBC-Beyond-the-Business-Case.pdf (World Green Building Council, 2021).
Habert, G. et al. Environmental impacts and decarbonization strategies in the cement and concrete industries. Nat. Rev. Earth Environ. 1, 559–573 (2020).
Google Scholar
Hyun, C., Jin, C., Shen, Z. & Kim, H. Automated optimization of formwork design through spatial analysis in building information modeling. Autom. Constr. 95, 193–205 (2018).
Google Scholar
Raza, M. H., Besklubova, S. & Zhong, R. Y. Economic analysis of offsite and onsite 3D construction printing techniques for low-rise buildings: a comparative value stream assessment. Addit. Manuf. 89, 104292 (2024).
Google Scholar
Li, W., Lin, X., Bao, D. & Xie, Y. A review of formwork systems for modern concrete construction. Structures 38, 52–63 (2022).
Google Scholar
Hao, J., Chen, Z., Zhang, Z. & Loehlein, G. Quantifying construction waste reduction through the application of prefabrication: a case study in Anhui, China. Environ. Sci. Pollut. Res. 28, 24499–24510 (2021).
Google Scholar
Churkina, G. et al. Buildings as a global carbon sink. Nat. Sustain. 3, 269–276 (2020).
Google Scholar
Hanifa, M., Agarwal, R., Sharma, U., Thapliyal, P. C. & Singh, L. P. A review on CO2 capture and sequestration in the construction industry: emerging approaches and commercialised technologies. J. CO2 Utilization 67, 102292 (2023).
Petersen, K. H., Napp, N., Stuart-Smith, R., Rus, D. & Kovac, M. A review of collective robotic construction. Sci. Robot. 4, eaau8479 (2019). Reviews collective robotic construction and multirobot systems for large-scale, adaptable and scalable construction tasks.
Google Scholar
Lu, W. et al. Digital technologies for construction sustainability: status quo, challenges, and future prospects. npj Mater. Sustain. 2, 10 (2024).
Google Scholar
Zhang, K. et al. Aerial additive manufacturing with multiple autonomous robots. Nature 609, 709–717 (2022). Describes an autonomous aerial additive manufacturing system, enabling scalable, untethered 3D printing in remote and hard-to-access locations.
Google Scholar
Khan, M. S., Sanchez, F. & Zhou, H. 3-D printing of concrete: beyond horizons. Cem. Concr. Res. 133, 106070 (2020).
Google Scholar
Dong, E. et al. Printing large size eggshell-shaped elements with ultra-high-performance concrete: from material design to structural bearing capacity assessment. Constr. Build. Mater. 462, 139983 (2025).
Google Scholar
Wang, S., Liong, S., Gan, Y. & Sheng, Y. Cost-effective concrete fabrication for large irregularly shaped architectural structures. Autom. Constr. 156, 105119 (2023).
Google Scholar
Han, Y., Yang, Z., Ding, T. & Xiao, J. Environmental and economic assessment on 3D printed buildings with recycled concrete. J. Clean. Prod. 278, 123884 (2021).
Google Scholar
Wang, X. et al. Concrete 3D printing technology for sustainable construction: a review on raw material, concrete type and performance. Dev. Built Environ. 17, 100378 (2024).
Google Scholar
Bi, M., Tran, P., Xia, L., Ma, G. & Xie, Y. M. Topology optimization for 3D concrete printing with various manufacturing constraints. Addit. Manuf. 57, 102982 (2022). Develops a topology optimization framework for 3D printing concrete construction with enhanced self-support, continuous extrusion and material anisotropy.
Google Scholar
Ichihara, N. & Ueda, M. 3D-printed high-toughness composite structures by anisotropic topology optimization. Compos. Pt B Eng. 253, 110572 (2023).
Google Scholar
De Schutter, G. et al. Vision of 3D printing with concrete — technical, economic and environmental potentials. Cem. Concr. Res. 112, 25–36 (2018).
Google Scholar
Gibson, I. et al. Additive Manufacturing Technologies Vol. 17 (Springer, 2021).
Bhattacherjee, S. et al. Sustainable materials for 3D concrete printing. Cem. Concr. Compos. 122, 104156 (2021).
Google Scholar
Weng, Y., Li, M., Wong, T. N. & Tan, M. J. Synchronized concrete and bonding agent deposition system for interlayer bond strength enhancement in 3D concrete printing. Autom. Constr. 123, 103546 (2021).
Google Scholar
Zhang, X. et al. Large-scale 3D printing by a team of mobile robots. Autom. Constr. 95, 98–106 (2018).
Google Scholar
Zuo, Z. et al. Propelling the widespread adoption of large-scale 3D printing. Nat. Rev. Mater. 9, 754–756 (2023). Highlights advancements in large-scale 3D printing, emphasizing material, process and printer innovations necessary for construction automation of complex and multifunctional structures.
Google Scholar
Sovetova, M. & Kaiser Calautit, J. Thermal and energy efficiency in 3D-printed buildings: review of geometric design, materials and printing processes. Energy Build. 323, 114731 (2024).
Google Scholar
Davila Delgado, J. M. et al. Robotics and automated systems in construction: understanding industry-specific challenges for adoption. J. Build. Eng. 26, 100868 (2019).
Google Scholar
Khoshnevis, B. Automated construction by contour crafting — related robotics and information technologies. Autom. Constr. 13, 5–19 (2004).
Google Scholar
Keating, S. J., Leland, J. C., Cai, L. & Oxman, N. Toward site-specific and self-sufficient robotic fabrication on architectural scales. Sci. Robot. 2, eaam8986 (2017).
Google Scholar
Loveridge, R. & Coray, T. Robots on construction sites: the potential and challenges of on-site digital fabrication. Sci. Robot. 2, eaan3674 (2017).
Google Scholar
Khoshnevis, B., Bukkapatnam, S., Kwon, H. & Saito, J. Experimental investigation of contour crafting using ceramics materials. Rapid Prototyp. J. 7, 32–42 (2001).
Google Scholar
Burger, J. et al. Design and fabrication of optimised ribbed concrete floor slabs using large scale 3D printed formwork. Autom. Constr. 144, 104599 (2022).
Google Scholar
Xiao, J. et al. Large-scale 3D printing concrete technology: current status and future opportunities. Cem. Concr. Compos. 122, 104115 (2021).
Google Scholar
Chermprayong, P., Zhang, K., Xiao, F. & Kovac, M. An integrated delta manipulator for aerial repair: a new aerial robotic system. IEEE Robot. Autom. Mag. 26, 54–66 (2019).
Google Scholar
Werfel, J., Petersen, K. & Nagpal, R. Designing collective behavior in a termite-inspired robot construction team. Science 343, 754–758 (2014).
Google Scholar
Miriyev, A. & Kovač, M. Skills for physical artificial intelligence. Nat. Mach. Intell. 2, 658–660 (2020).
Google Scholar
Lin, T.-H., Chang, C.-T., Yang, B.-H., Hung, C.-C. & Wen, K.-W. AI-powered shotcrete robot for enhancing structural integrity using ultra-high performance concrete and visual recognition. Autom. Constr. 155, 105038 (2023).
Google Scholar
Qin, S. et al. AIstructure-Copilot: assistant for generative AI-driven intelligent design of building structures. Smart Constr. 1, 1–20 (2024).
Google Scholar
Zheng, Y., Gao, Y., Lu, S. & Mosalam, K. M. Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges. Comput. Civ. Infrastruct. Eng. 37, 1089–1108 (2022).
Google Scholar
Fei, Y., Liao, W., Lu, X. & Guan, H. Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings. Comput. Civ. Infrastruct. Eng. 39, 518–538 (2023).
Google Scholar
Lee, D., Lee, S. H., Masoud, N., Krishnan, M. S. & Li, V. C. Integrated digital twin and blockchain framework to support accountable information sharing in construction projects. Autom. Constr. 127, 103688 (2021).
Google Scholar
Anane, W., Iordanova, I. & Ouellet-Plamondon, C. BIM-driven computational design for robotic manufacturing in off-site construction: an integrated Design-to-Manufacturing (DtM) approach. Autom. Constr. 150, 104782 (2023).
Google Scholar
Zhang, W.-J. et al. Semi-supervised learning approach for construction object detection by integrating super-resolution and mean teacher network. J. Infrastruct. Intell. Resil. 3, 100095 (2024).
Google Scholar
Wang, Z., Zhang, Y., Mosalam, K. M., Gao, Y. & Huang, S. L. Deep semantic segmentation for visual understanding on construction sites. Comput. Civ. Infrastruct. Eng. 37, 145–162 (2021).
Google Scholar
Johns, R. L. et al. A framework for robotic excavation and dry stone construction using on-site materials. Sci. Robot. 8, eabp9758 (2023).
Google Scholar
Roussel, N. Rheological requirements for printable concretes. Cem. Concr. Res. 112, 76–85 (2018).
Google Scholar
Zhang, Y. et al. A potential active rheology control approach for 3D printable cement-based materials: coupling of temperature and viscosity modifiers. Cem. Concr. Compos. 149, 105496 (2024).
Google Scholar
Gao, H. et al. Rheological behavior of 3D printed concrete: influential factors and printability prediction scheme. J. Build. Eng. 91, 109626 (2024).
Google Scholar
Roussel, N., Ovarlez, G., Garrault, S. & Brumaud, C. The origins of thixotropy of fresh cement pastes. Cem. Concr. Res. 42, 148–157 (2012).
Google Scholar
Liu, C. et al. Influence of HPMC and SF on buildability of 3D printing foam concrete: from water state and flocculation point of view. Composites Pt B Eng. 242, 110075 (2022).
Google Scholar
Chen, Y. et al. Systematical investigation of rheological performance regarding 3D printing process for alkali-activated materials: effect of precursor nature. Cem. Concr. Compos. 128, 104450 (2022).
Google Scholar
Tay, Y. W. D., Qian, Y. & Tan, M. J. Printability region for 3D concrete printing using slump and slump flow test. Compos. Pt B Eng. 174, 106968 (2019).
Google Scholar
Chen, Y. et al. Extending applicability of 3D-printable geopolymer to large-scale printing scenario via combination of sodium carbonate and nano-silica. Cem. Concr. Compos. 145, 105322 (2024).
Google Scholar
Cheng, H., Radlińska, A., Hillman, M., Liu, F. & Wang, J. Modeling concrete deposition via 3D printing using reproducing kernel particle method. Cem. Concr. Res. 181, 107526 (2024).
Google Scholar
Chen, Y. et al. A mechanical characteristic capture method considering printing configurations for buildability modeling in concrete 3D printing. Addit. Manuf. 94, 104462 (2024).
Google Scholar
Asghari, Y., Mohammadyan-Yasouj, S. E., Petrů, M., Ghandvar, H. & R. Koloor, S. S. 3D printing and implementation of engineered cementitious composites — a review. Case Stud. Constr. Mater. 21, e03462 (2024).
Google Scholar
Liu, Y., Lu, C., Hu, X. & Shi, C. Effect of silica fume on rheology of slag-fly ash-silica fume-based geopolymer pastes with different activators. Cem. Concr. Res. 174, 107336 (2023).
Google Scholar
Gupta, S., Tulliani, J.-M. & Kua, H. W. Carbonaceous admixtures in cementitious building materials: effect of particle size blending on rheology, packing, early age properties and processing energy demand. Sci. Total Environ. 807, 150884 (2022).
Google Scholar
Xu, Y. et al. Correlation of interlayer properties and rheological behaviors of 3DPC with various printing time intervals. Addit. Manuf. 47, 102327 (2021).
Google Scholar
Pan, T., Guo, R., Jiang, Y. & Ji, X. How do the contact surface forces affect the interlayer bond strength of 3D printed mortar? Cem. Concr. Compos. 133, 104675 (2022).
Google Scholar
Wallevik, O. H. & Wallevik, J. E. Rheology as a tool in concrete science: the use of rheographs and workability boxes. Cem. Concr. Res. 41, 1279–1288 (2011).
Google Scholar
Liu, C. et al. Effect of sulphoaluminate cement on fresh and hardened properties of 3D printing foamed concrete. Compos. Pt B Eng. 232, 109619 (2022).
Google Scholar
Ibrahim, K. A., van Zijl, G. P. A. G. & Babafemi, A. J. Influence of limestone calcined clay cement on properties of 3D printed concrete for sustainable construction. J. Build. Eng. 69, 106186 (2023).
Google Scholar
Nodehi, M., Ozbakkaloglu, T. & Gholampour, A. Effect of supplementary cementitious materials on properties of 3D printed conventional and alkali-activated concrete: a review. Autom. Constr. 138, 104215 (2022).
Google Scholar
Chu, S. H., Yang, E. H. & Unluer, C. Development of nanofiber reinforced reactive magnesia-based composites for 3D printing. Constr. Build. Mater. 366, 130270 (2023).
Google Scholar
Perrot, A. et al. Snapshot on 3D printing with alternative binders and materials: Earth, geopolymers, gypsum and low carbon concrete. Cem. Concr. Res. 185, 107651 (2024). Reviews the alternative low-carbon printable inks for 3DP and analyses their potential to reduce carbon footprints and optimize structural performance in 3DP.
Google Scholar
Harbouz, I., Yahia, A., Roziere, E. & Loukili, A. Printing quality control of cement-based materials under flow and rest conditions. Cem. Concr. Compos. 138, 104965 (2023).
Google Scholar
Zhang, J. et al. Alterations in rheo-viscoelastic properties of cement composites with biochar incorporation as bio-based admixture. Constr. Build. Mater. 439, 137358 (2024).
Google Scholar
Ma, X., Tan, L., Lu, Y., Yao, W. & Wei, Y. Upcycling of waste plasterboard for the synthesis of high-quality gypsum-based 3D printing powder. Constr. Build. Mater. 373, 130846 (2023).
Google Scholar
Zhang, H., Xiao, J., Duan, Z., Zou, S. & Xia, B. Effects of printing paths and recycled fines on drying shrinkage of 3D printed mortar. Constr. Build. Mater. 342, 128007 (2022).
Google Scholar
Pasupathy, K., Ramakrishnan, S. & Sanjayan, J. 3D concrete printing of eco-friendly geopolymer containing brick waste. Cem. Concr. Compos. 138, 104943 (2023).
Google Scholar
Rodriguez Mendez, Q., Fuss, S., Lück, S. & Creutzig, F. Assessing global urban CO2 removal. Nat. Cities 1, 413–423 (2024).
Google Scholar
De Vlieger, J., Boehme, L., Blaakmeer, J. & Li, J. Buildability assessment of mortar with fine recycled aggregates for 3D printing. Constr. Build. Mater. 367, 130313 (2023).
Google Scholar
Liu, H. et al. 3D printing concrete with recycled coarse aggregates: the influence of pore structure on interlayer adhesion. Cem. Concr. Compos. 134, 104742 (2022).
Google Scholar
Saruhan, V., Keskinateş, M. & Felekoğlu, B. A comprehensive review on fresh state rheological properties of extrusion mortars designed for 3D printing applications. Constr. Build. Mater. 337, 127629 (2022).
Google Scholar
Weng, Y., Li, M., Zhang, D., Tan, M. J. & Qian, S. Investigation of interlayer adhesion of 3D printable cementitious material from the aspect of printing process. Cem. Concr. Res. 143, 106386 (2021).
Google Scholar
Yuan, P. F., Zhan, Q., Wu, H., Beh, H. S. & Zhang, L. Real-time toolpath planning and extrusion control (RTPEC) method for variable-width 3D concrete printing. J. Build. Eng. 46, 103716 (2022).
Google Scholar
Breseghello, L. & Naboni, R. Toolpath-based design for 3D concrete printing of carbon-efficient architectural structures. Addit. Manuf. 56, 102872 (2022).
Google Scholar
Carneau, P., Mesnil, R., Baverel, O. & Roussel, N. Layer pressing in concrete extrusion-based 3D-printing: experiments and analysis. Cem. Concr. Res. 155, 106741 (2022).
Google Scholar
Lao, W., Li, M. & Tjahjowidodo, T. Variable-geometry nozzle for surface quality enhancement in 3D concrete printing. Addit. Manuf. 37, 101638 (2021).
Google Scholar
Muthukrishnan, S., Ramakrishnan, S. & Sanjayan, J. Technologies for improving buildability in 3D concrete printing. Cem. Concr. Compos. 122, 104144 (2021).
Google Scholar
Liu, J. et al. Current and future trends in topology optimization for additive manufacturing. Struct. Multidiscip. Optim. 57, 2457–2483 (2018).
Google Scholar
Zhuang, Z. et al. A comprehensive review of sustainable materials and toolpath optimization in 3D concrete printing. npj Mater. Sustain. 2, 12 (2024).
Google Scholar
Wethyavivorn, B., Surit, S., Thanadirek, T. & Wethyavivorn, P. Topology optimization-based reinforced concrete beams: design and experiment. J. Struct. Eng. 148, 04022154 (2022).
Google Scholar
Pressmair, N. & Kromoser, B. A contribution to resource-efficient construction: design flow and experimental investigation of structurally optimised concrete girders. Eng. Struct. 281, 115757 (2023).
Google Scholar
Liu, Y., Jewett, J. L. & Carstensen, J. V. in Second RILEM International Conference on Concrete and Digital Fabrication (eds Bos, F. P., Lucas, S. S., Wolfs, R. J. M. & Salet, T. A. M.) Vol. 28, 601–611 (Springer International Publishing, 2020).
Li, Y. et al. FloatArch: a cable-supported, unreinforced, and re-assemblable 3D-printed concrete structure designed using multi-material topology optimization. Addit. Manuf. 81, 104012 (2024).
Google Scholar
Yang, W., Wang, L., Ma, G. & Feng, P. An integrated method of topological optimization and path design for 3D concrete printing. Eng. Struct. 291, 116435 (2023).
Google Scholar
Wu, J., Sigmund, O. & Groen, J. P. Topology optimization of multi-scale structures: a review. Struct. Multidiscip. Optim. 63, 1455–1480 (2021).
Google Scholar
Aage, N., Andreassen, E., Lazarov, B. S. & Sigmund, O. Giga-voxel computational morphogenesis for structural design. Nature 550, 84–86 (2017). Introduces a giga-voxel tool for high-resolution optimization of structural designs, with future potential for large-scale 3D printing integration.
Google Scholar
Dias, J. M., da Silva, F. S. C. P., Gasik, M., Miranda, M. G. M. & Bartolomeu, F. J. F. Unveiling additively manufactured cellular structures in hip implants: a comprehensive review. Int. J. Adv. Manuf. Technol. 130, 4073–4122 (2023).
Google Scholar
Peng, B. et al. Machine learning-enabled constrained multi-objective design of architected materials. Nat. Commun. 14, 6630 (2023). Provides a machine-learning-enabled framework for the constrained multi-objective design of 3D printed architected materials.
Google Scholar
Zhu, Z., Ng, D. W. H., Park, H. S. & McAlpine, M. C. 3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies. Nat. Rev. Mater. 6, 27–47 (2020).
Google Scholar
Goh, G. D., Sing, S. L. & Yeong, W. Y. A review on machine learning in 3D printing: applications, potential, and challenges. Artif. Intell. Rev. 54, 63–94 (2020).
Google Scholar
Qi, X., Chen, G., Li, Y., Cheng, X. & Li, C. Applying neural-network-based machine learning to additive manufacturing: current applications, challenges, and future perspectives. Engineering 5, 721–729 (2019).
Google Scholar
Gobert, C., Reutzel, E. W., Petrich, J., Nassar, A. R. & Phoha, S. Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging. Addit. Manuf. 21, 517–528 (2018).
Google Scholar
Chang, Z., Zhang, H., Liang, M., Schlangen, E. & Šavija, B. Numerical simulation of elastic buckling in 3D concrete printing using the lattice model with geometric nonlinearity. Autom. Constr. 142, 104485 (2022).
Google Scholar
Park, D., Lee, J., Lee, H., Gu, G. X. & Ryu, S. Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization. Mater. Horiz. 11, 3048–3065 (2024).
Google Scholar
Maruyama, I. & Lura, P. Properties of early-age concrete relevant to cracking in massive concrete. Cem. Concr. Res. 123, 105770 (2019).
Google Scholar
Vanek, J., Galicia, J. A. G. & Benes, B. Clever support: efficient support structure generation for digital fabrication. Computer Graph. Forum 33, 117–125 (2014).
Google Scholar
Jin, Z., Zhang, Z., Demir, K. & Gu, G. X. Machine learning for advanced additive manufacturing. Matter 3, 1541–1556 (2020).
Google Scholar
Lowke, D. et al. Material–process interactions in particle bed 3D printing and the underlying physics. Cem. Concr. Res. 156, 106748 (2022).
Google Scholar
Roussel, N., Spangenberg, J., Wallevik, J. & Wolfs, R. Numerical simulations of concrete processing: from standard formative casting to additive manufacturing. Cem. Concr. Res. 135, 106075 (2020).
Google Scholar
Mohammad, A. S. & Biernacki, J. J. 2D stationary computational printing of cement-based pastes. Cem. Concr. Res. 159, 106866 (2022).
Google Scholar
LaValle, S. M. Planning Algorithms (Cambridge Univ. Press, 2006).
Buswell, R. A., Leal de Silva, W. R., Jones, S. Z. & Dirrenberger, J. 3D printing using concrete extrusion: a roadmap for research. Cem. Concr. Res. 112, 37–49 (2018).
Google Scholar
Gordon, W. J. & Hall, C. A. Transfinite element methods: blending-function interpolation over arbitrary curved element domains. Numerische Mathematik 21, 109–129 (1973).
Google Scholar
Zhao, H. et al. Connected fermat spirals for layered fabrication. ACM Trans. Graph. 35, 1–10 (2016).
Google Scholar
Li, S., Nguyen-Xuan, H. & Tran, P. Digital design and parametric study of 3D concrete printing on non-planar surfaces. Autom. Constr. 145, 104624 (2023).
Google Scholar
Wong, N. H., Tan, C. L., Kolokotsa, D. D. & Takebayashi, H. Greenery as a mitigation and adaptation strategy to urban heat. Nat. Rev. Earth Environ. 2, 166–181 (2021).
Google Scholar
Zhong, H.-Y. et al. Single-sided natural ventilation in buildings: a critical literature review. Build. Environ. 212, 108797 (2022).
Google Scholar
Seuntjens, O., Belmans, B., Buyle, M. & Audenaert, A. A critical review on the adaptability of ventilation systems: current problems, solutions and opportunities. Build. Environ. 212, 108816 (2022).
Google Scholar
Dubor, A. et al. in Humanizing Digital Reality: Design Modelling Symposium Paris 2017 (eds De Rycke, K. et al.) 383–393 (Springer Singapore, 2018).
Leschok, M. et al. 3D printing facades: design, fabrication, and assessment methods. Autom. Constr. 152, 104918 (2023).
Google Scholar
Feng, J. et al. Fire-safe aerogels and foams for thermal insulation: from materials to properties. Adv. Mater. 37, e2411856 (2024).
Google Scholar
Yi, H. & Kim, Y. Prototyping of 4D-printed self-shaping building skin in architecture: design, fabrication, and investigation of a two-way shape memory composite (TWSMC) façade panel. J. Build. Eng. 43, 103076 (2021).
Google Scholar
de Rubeis, T., Ciccozzi, A., Giusti, L. & Ambrosini, D. On the use of 3D printing to enhance the thermal performance of building envelope — a review. J. Build. Eng. 95, 110284 (2024).
Google Scholar
Li, Z., Xing, W., Sun, J., Feng, X. & Wang, H. Thermal network model for anisotropic heat transfer in 3D printed complex geometry structures. Build. Environ. 254, 111381 (2024).
Google Scholar
Bentz, D. P. Transient plane source measurements of the thermal properties of hydrating cement pastes. Mater. Struct. 40, 1073–1080 (2007).
Google Scholar
Sayyar, M., Weerasiri, R. R., Soroushian, P. & Lu, J. Experimental and numerical study of shape-stable phase-change nanocomposite toward energy-efficient building constructions. Energy Build. 75, 249–255 (2014).
Google Scholar
Cui, H., Memon, S. A. & Liu, R. Development, mechanical properties and numerical simulation of macro encapsulated thermal energy storage concrete. Energy Build. 96, 162–174 (2015).
Google Scholar
Memon, S. A., Cui, H., Zhang, H. & Xing, F. Utilization of macro encapsulated phase change materials for the development of thermal energy storage and structural lightweight aggregate concrete. Appl. Energy 139, 43–55 (2015).
Google Scholar
Sarilak, D., Kerdlap, W., Embley, B., Chisti, Y. & Hansupalak, N. Model-based design, synthesis and use of thermally insulating mortar formulations for energy conservation in buildings. J. Clean. Prod. 276, 124287 (2020).
Google Scholar
Strzałkowski, J., Stolarska, A., Kożuch, D. & Dmitruk, J. Hygrothermal and strength properties of cement mortars containing cenospheres. Cem. Concr. Res. 174, 107325 (2023).
Google Scholar
Marani, A. & Nehdi, M. L. Integrating phase change materials in construction materials: critical review. Constr. Build. Mater. 217, 36–49 (2019).
Google Scholar
Dinesh, A., Indhumathi, S. & Pichumani, M. Self-sensing cement composites for structural health monitoring: from know-how to do-how. Autom. Constr. 160, 105304 (2024).
Google Scholar
Dinesh, A., Suji, D. & Pichumani, M. Self-sensing cementitious composite sensor with integrated steel fiber and carbonaceous powder for real-time application in large-scale infrastructures. Sens. Actuators A Phys. 353, 114209 (2023).
Google Scholar
Chanut, N. et al. Carbon-cement supercapacitors as a scalable bulk energy storage solution. Proc. Natl Acad. Sci. USA 120, e2304318120 (2023).
Google Scholar
Lyu, Q. et al. Energy storage properties and mechanical strengths of 3D printed porous concrete structural supercapacitors reinforced by electrodes made of carbon-black-coated Ni foam. Cem. Concr. Compos. 157, 105926 (2025).
Google Scholar
Dinesh, A., Saravanakumar, P., Rahul Prasad, B. & Kilbert Raj, S. Carbon black based self-sensing cement composite for structural health monitoring — a review on strength and conductive characteristics. Mater. Today Proc. https://doi.org/10.1016/j.matpr.2023.03.661 (2023).
Jin, P. et al. Multifunctional cement-based composite with advanced self-sensing, electrothermal, and electrochemical properties. Adv. Funct. Mater. 35, 2411878 (2024).
Google Scholar
Ding, S. et al. Self-heating ultra-high performance concrete with stainless steel wires for active deicing and snow-melting of transportation infrastructures. Cem. Concr. Compos. 138, 105005 (2023).
Google Scholar
Nemova, D. et al. Experimental study on the thermal performance of 3D-printed enclosing structures. Energies 15, 4230 (2022).
Google Scholar
Amran, M., Fediuk, R., Murali, G., Vatin, N. & Al-Fakih, A. Sound-absorbing acoustic concretes: a review. Sustainability 13, 10712 (2021).
Google Scholar
Setaki, F. et al. 3D-printed sound absorbers: compact and customisable at broadband frequencies. Architect. Struct. Constr. 3, 205–215 (2023).
Google Scholar
Chen, Z., Chong, Y. B., Lim, K. M. & Lee, H. P. Reconfigurable 3D printed acoustic metamaterial chamber for sound insulation. Int. J. Mech. Sci. 266, 108978 (2024).
Google Scholar
Sheng, H., He, M.-X., Pueh Lee, H. & Ding, Q. Quasi-periodic sonic black hole with low-frequency acoustic and elastic bandgaps. Compos. Struct. 337, 118046 (2024).
Google Scholar
Lyu, Q., Wang, Y. & Dai, P. Multilayered plant-growing concrete manufactured by aggregate-bed 3D concrete printing. Constr. Build. Mater. 430, 136453 (2024).
Google Scholar
He, Y., Zhang, Y., Zhang, C. & Zhou, H. Energy-saving potential of 3D printed concrete building with integrated living wall. Energy Build. 222, 110110 (2020).
Google Scholar
Lyu, Q., Dai, P., Zong, M., Zhu, P. & Liu, J. Plant-germination ability and mechanical strength of 3D printed vegetation concrete bound with cement and soil. Constr. Build. Mater. 408, 133587 (2023).
Google Scholar
Chegut, A., Eichholtz, P. & Kok, N. The price of innovation: an analysis of the marginal cost of green buildings. J. Environ. Econ. Manag. 98, 102248 (2019).
Google Scholar
Adresi, M. & Pakhirehzan, F. Evaluating the performance of self-sensing concrete sensors under temperature and moisture variations — a review. Constr. Build. Mater. 404, 132923 (2023).
Google Scholar
Zhang, H., Hao, L., Zhang, S., Xiao, J. & Poon, C. S. Advanced measurement techniques for plastic shrinkage and cracking in 3D-printed concrete utilising distributed optical fiber sensor. Addit. Manuf. 74, 103722 (2023).
Google Scholar
Banijamali, K. et al. Automated strength monitoring of 3D printed structures via embedded sensors. Autom. Constr. 166, 105681 (2024).
Google Scholar
Gu, H. & Wei, Y. Environmental monitoring and landscape design of green city based on remote sensing image and improved neural network. Environ. Technol. Innov. 23, 101718 (2021).
Google Scholar
Longo, A., Zappatore, M. & Bochicchio, M. A. Apollon: towards a citizen science methodology for urban environmental monitoring. Fut. Gener. Computer Syst. 112, 899–912 (2020).
Google Scholar
Bong, S. H., Xia, M., Nematollahi, B. & Shi, C. Ambient temperature cured ‘just-add-water’ geopolymer for 3D concrete printing applications. Cem. Concr. Compos. 121, 104060 (2021).
Google Scholar
Ghourchian, S., Butler, M., Krüger, M. & Mechtcherine, V. Modelling the development of capillary pressure in freshly 3D-printed concrete elements. Cem. Concr. Res. 145, 106457 (2021).
Google Scholar
Xia, K. et al. Understanding and modeling the plastic deformation of 3D printed concrete based on viscoelastic creep behavior. Addit. Manuf. 84, 104132 (2024).
Google Scholar
Vlachakis, C., McAlorum, J. & Perry, M. 3D printed cement-based repairs and strain sensors. Autom. Constr. 137, 104202 (2022).
Google Scholar
Wang, L. & Aslani, F. Structural performance of reinforced concrete beams with 3D printed cement-based sensor embedded and self-sensing cementitious composites. Eng. Struct. 275, 115266 (2023).
Google Scholar
Huang, X., Liu, Y., Huang, L., Onstein, E. & Merschbrock, C. BIM and IoT data fusion: the data process model perspective. Autom. Constr. 149, 104792 (2023).
Google Scholar
Kumar, A. et al. Sensing technologies for monitoring intelligent buildings: a review. IEEE Sens. J. 18, 4847–4860 (2018).
Google Scholar
Jiang, Y., Yin, S., Li, K., Luo, H. & Kaynak, O. Industrial applications of digital twins. Philos. Trans. A Math. Phys. Eng. Sci. 379, 20200360 (2021).
Google Scholar
Moelich, G. M., Kruger, J. & Combrinck, R. Plastic shrinkage cracking in 3D printed concrete. Compos. Pt B Eng. 200, 108313 (2020).
Google Scholar
Pan, Z. & Yu, Y. Learning multi-granular worker intentions from incomplete visual observations for worker–robot collaboration in construction. Autom. Constr. 158, 105184 (2024).
Google Scholar
Cha, Y.-J., Ali, R., Lewis, J. & Büyüköztürk, O. Deep learning-based structural health monitoring. Autom. Constr. 161, 105328 (2024).
Google Scholar
Abdelmageed, S., Abdelkhalek, S., Hussien, M. & Zayed, T. A hybrid simulation model for modules installation in modular integrated construction projects. Int. J. Constr. Manag. 24, 1407–1418 (2024).
Google Scholar
An, D., Zhang, Y. X. & Yang, R. Numerical modelling of 3D concrete printing: material models, boundary conditions and failure identification. Eng. Struct. 299, 117104 (2024).
Google Scholar
Nguyen, P. D., Nguyen, T. Q., Tao, Q. B., Vogel, F. & Nguyen-Xuan, H. A data-driven machine learning approach for the 3D printing process optimisation. Virtual Phys. Prototyp. 17, 768–786 (2022).
Google Scholar
Dörfler, K. et al. Advancing construction in existing contexts: prospects and barriers of 3d printing with mobile robots for building maintenance and repair. Cem. Concr. Res. 186, 107656 (2024).
Google Scholar
Weng, Y. et al. Comparative economic, environmental and productivity assessment of a concrete bathroom unit fabricated through 3D printing and a precast approach. J. Clean. Prod. 261, 121245 (2020).
Google Scholar
Tinoco, M. P. et al. Life cycle assessment (LCA) and environmental sustainability of cementitious materials for 3D concrete printing: a systematic literature review. J. Build. Eng. 52, 104456 (2022).
Google Scholar
Bedarf, P., Dutto, A., Zanini, M. & Dillenburger, B. Foam 3D printing for construction: a review of applications, materials, and processes. Autom. Constr. 130, 103861 (2021).
Google Scholar
Hassan, H. et al. Towards innovative and sustainable buildings: a comprehensive review of 3D printing in construction. Autom. Constr. 163, 105417 (2024).
Google Scholar
Mansuri, D., Chakraborty, D., Elzarka, H., Deshpande, A. & Gronseth, T. Building information modeling enabled cascading formwork management tool. Autom. Constr. 83, 259–272 (2017).
Google Scholar
Batikha, M., Jotangia, R., Baaj, M. Y. & Mousleh, I. 3D concrete printing for sustainable and economical construction: a comparative study. Autom. Constr. 134, 104087 (2022).
Google Scholar
Van Roijen, E., Miller, S. A. & Davis, S. J. Building materials could store more than 16 billion tonnes of CO2 annually. Science 387, 176–182 (2025).
Google Scholar
Labianca, C. et al. A holistic framework of biochar-augmented cementitious products and general applications: technical, environmental, and economic evaluation. Environ. Res. 245, 118026 (2024).
Google Scholar
Huang, Y. et al. 3D printing of topologically optimized wing spar with continuous carbon fiber reinforced composites. Compos. Pt B Eng. 272, 111166 (2024).
Google Scholar
Rahemipoor, S. et al. Phase change materials incorporation into 3D printed geopolymer cement: a sustainable approach to enhance the comfort and energy efficiency of buildings. J. Clean. Prod. 417, 138005 (2023).
Google Scholar
Alhumayani, H., Gomaa, M., Soebarto, V. & Jabi, W. Environmental assessment of large-scale 3D printing in construction: a comparative study between cob and concrete. J. Clean. Prod. 270, 122463 (2020).
Google Scholar
Habibi, A., Buswell, R., Osmani, M. & Aziminezhad, M. Sustainability principles in 3D concrete printing: analysing trends, classifying strategies, and future directions. J. Build. Eng. 98, 111354 (2024).
Google Scholar
Zhang, C. et al. Design of 3D printable concrete based on the relationship between flowability of cement paste and optimum aggregate content. Cem. Concr. Compos. 104, 103406 (2019).
Google Scholar
Lowke, D. et al. Particle-bed 3D printing in concrete construction — possibilities and challenges. Cem. Concr. Res. 112, 50–65 (2018).
Google Scholar
Zhang, C. et al. Mix design concepts for 3D printable concrete: a review. Cem. Concr. Compos. 122, 104155 (2021). Reviews the mix design concepts for 3D printable inks and material properties required for pumpability, extrudability and buildability in 3D printed applications.
Google Scholar
Zhang, Y. et al. Comparison of printability and mechanical properties of rigid and flexible fiber-reinforced 3D printed cement-based materials. Constr. Build. Mater. 400, 132750 (2023).
Google Scholar
Zhang, D. et al. Discontinuous micro-fibers as intrinsic reinforcement for ductile engineered cementitious composites (ECC). Compos. Pt B Eng. 184, 107741 (2020).
Google Scholar
Dunant, C. F., Joseph, S., Prajapati, R. & Allwood, J. M. Electric recycling of Portland cement at scale. Nature 629, 1055–1061 (2024).
Google Scholar
Kopitha, K., Rajeev, P., Sanjayan, J. & Elakneswaran, Y. CO2 sequestration and low carbon strategies in 3D printed concrete. J. Build. Eng. 99, 111653 (2025).
Google Scholar
Zhong, K., Liu, Z. & Wang, F. Development of CO2 curable 3D printing materials. Addit. Manuf. 65, 103442 (2023).
Google Scholar
Li, L. et al. Development of CO2-integrated 3D printing concrete. Constr. Build. Mater. 409, 134233 (2023).
Google Scholar
El-Sayegh, S., Romdhane, L. & Manjikian, S. A critical review of 3D printing in construction: benefits, challenges, and risks. Arch. Civ. Mech. Eng. 20, 34 (2020).
Google Scholar
Weger, D. et al. Building rethought — 3D concrete printing in building practice. Constr. Robot. 5, 203–210 (2021).
Google Scholar
Tabassum, T. & Ahmad Mir, A. A review of 3D printing technology — the future of sustainable construction. Mater. Today Proc. 93, 408–414 (2023).
Google Scholar
ISO/ASTM 52939:2023. Additive Manufacturing for Construction — Qualification Principles — Structural and Infrastructure Elements International Standard. American Society for Testing and Materials (ISO/ATSM) (2023).
T/CECS 786-2020. Technical Specification of Concrete 3D Printing (China Association for Engineering Construction Standardization (CECS), 2020).
T/CCPA 33 — 2022 (T/CBMF 183). Test Methods for Basic Mechanical Properties of 3D Printed Concrete (China Concrete & Cement-Based Products Association (CCPA), 2022).
T/CCPA 34 — 2022 (T/CBMF 184). Test Methods for Printability of 3D Printing Fresh Concrete (China Concrete & Cement-Based Products Association (CCPA), 2022).
USACE ECB 2021-13. Design and Construction of 3D Printed (Additive Construction) Concrete Structures (Engineering and Construction Bulletin (ECB), 2021).
Besklubova, S., Skibniewski, M. J. & Zhang, X. Factors affecting 3D printing technology adaptation in construction. J. Constr. Eng. Manag. 147, 04021026 (2021).
Google Scholar
Robayo-Salazar, R., Mejía de Gutiérrez, R., Villaquirán-Caicedo, M. A. & Delvasto Arjona, S. 3D printing with cementitious materials: challenges and opportunities for the construction sector. Autom. Constr. 146, 104693 (2023).
Google Scholar
Chemweno, P., Pintelon, L. & Decre, W. Orienting safety assurance with outcomes of hazard analysis and risk assessment: a review of the ISO 15066 standard for collaborative robot systems. Saf. Sci. 129, 104832 (2020).
Google Scholar
Xu, M., Nie, X., Li, H., Cheng, J. C. P. & Mei, Z. Smart construction sites: a promising approach to improving on-site HSE management performance. J. Build. Eng. 49, 104007 (2022).
Google Scholar
Fang, W. et al. Knowledge graph for identifying hazards on construction sites: integrating computer vision with ontology. Autom. Constr. 119, 103310 (2020).
Google Scholar
Halder, S., Afsari, K., Chiou, E., Patrick, R. & Hamed, K. A. Construction inspection & monitoring with quadruped robots in future human–robot teaming: a preliminary study. J. Build. Eng. 65, 105814 (2023).
Google Scholar
Asprone, D. et al. Rethinking reinforcement for digital fabrication with concrete. Cem. Concr. Res. 112, 111–121 (2018).
Google Scholar
Mechtcherine, V. et al. A roadmap for quality control of hardening and hardened printed concrete. Cem. Concr. Res. 157, 106800 (2022).
Google Scholar
Wang, C., Chen, B., Vo, T. L. & Rezania, M. Mechanical anisotropy, rheology and carbon footprint of 3D printable concrete: a review. J. Build. Eng. 76, 107309 (2023).
Google Scholar
Rau, D. A., Williams, C. B. & Bortner, M. J. Rheology and printability: a survey of critical relationships for direct ink write materials design. Prog. Mater. Sci. 140, 101188 (2023).
Google Scholar
Feys, D., De Schutter, G., Fataei, S., Martys, N. S. & Mechtcherine, V. Pumping of concrete: understanding a common placement method with lots of challenges. Cem. Concr. Res. 154, 106720 (2022).
Google Scholar
Skempton, A. W. Portland cements, 1843–1887. Trans. Newcomen Soc. 35, 117–152 (1962).
Google Scholar
Brown, J. M. WB Wilkinson (1819–1902) and His Place in the History of Reinforced Concrete (Taylor & Francis, 1966).
Lei, L., Hirata, T. & Plank, J. 40 years of PCE superplasticizers — history, current state-of-the-art and an outlook. Cem. Concr. Res. 157, 106826 (2022).
Google Scholar
Hull, C. W. The birth of 3D printing. Res. Technol. Manag. 58, 25–30 (2015).
Google Scholar
Leach, N. Curating the digital: an interview with MoMA’s Paola Antonelli. Architect. Des. 87, 26–33 (2017).
Google Scholar
Khoshnevis, B., Russell, R., Kwon, H. & Bukkapatnam, S. Crafting large prototypes. IEEE Robot. Autom. Mag. 8, 33–42 (2001).
Google Scholar
Lim, S. et al. Developments in construction-scale additive manufacturing processes. Autom. Constr. 21, 262–268 (2012).
Google Scholar
Xu, W. et al. Toward automated construction: the design-to-printing workflow for a robotic in-situ 3D printed house. Case Stud. Constr. Mater. 17, e01442 (2022).
Google Scholar
Gaudillière, N. et al. in Robotic Fabrication in Architecture, Art and Design 2018: Foreword by Sigrid Brell-Çokcan and Johannes Braumann, Association for Robots in Architecture 459–472 (Springer, 2019).
Ma, Y. & Che, Y. A brief introduction to 3D printing technology. in 17th International Congress of the GRCA (GRCA, 2015).
Bos, F. P. et al. The realities of additively manufactured concrete structures in practice. Cem. Concr. Res. 156, 106746 (2022).
Google Scholar
Wilson, T. T., Mativenga, P. T. & Marnewick, A. L. Sustainability of 3D printing in infrastructure development. Procedia CIRP 120, 195–200 (2023).
Google Scholar
Jo, J. H., Jo, B. W., Cho, W. & Kim, J.-H. Development of a 3D printer for concrete structures: laboratory testing of cementitious materials. Int. J. Concr. Struct. Mater. 14, 1–11 (2020).
Google Scholar
du Plessis, A. et al. Biomimicry for 3D concrete printing: a review and perspective. Addit. Manuf. 38, 101823 (2021).
Google Scholar
Liu, J., Li, S., Fox, K. & Tran, P. 3D concrete printing of bioinspired Bouligand structure: a study on impact resistance. Addit. Manuf. 50, 102544 (2022).
Google Scholar
Wu, Z., Pan, H., Huang, P., Tang, J. & She, W. Biomimetic mechanical robust cement-resin composites with machine learning-assisted gradient hierarchical structures. Adv. Mater. 36, 2405183 (2024).
Google Scholar
Siddique, S. H., Hazell, P. J., Wang, H., Escobedo, J. P. & Ameri, A. A. H. Lessons from nature: 3D printed bio-inspired porous structures for impact energy absorption — a review. Addit. Manuf. 58, 103051 (2022).
Google Scholar
Brown, K. A. & Gu, G. X. Computational challenges in additive manufacturing for metamaterials design. Nat. Comput. Sci. 4, 553–555 (2024).
Google Scholar
Du, G., Sun, Y. & Qian, Y. Flexural performance of nature-inspired 3D-printed strain-hardening cementitious composites (3DP-SHCC) with Bouligand structures. Cem. Concr. Compos. 149, 105494 (2024).
Google Scholar
Houshmand Khaneghahi, M. et al. Development of a nature-inspired polymeric fiber (BioFiber) for advanced delivery of self-healing agents into concrete. Constr. Build. Mater. 408, 133765 (2023).
Google Scholar
Zhang, T. et al. Development of a novel bio-inspired cement-based composite material to improve the fire resistance of engineering structures. Constr. Build. Mater. 225, 99–111 (2019).
Google Scholar
Li, Q. et al. A novel bio-inspired bone-mimic self-healing cement paste based on hydroxyapatite formation. Cem. Concr. Compos. 104, 103357 (2019).
Google Scholar
Ahamed, M. K., Wang, H. & Hazell, P. J. From biology to biomimicry: using nature to build better structures — a review. Constr. Build. Mater. 320, 126195 (2022).
Google Scholar
Zhang, F. et al. Unperceivable motion mimicking hygroscopic geometric reshaping of pine cones. Nat. Mater. 21, 1357–1365 (2022).
Google Scholar
Del Dottore, E., Mondini, A., Rowe, N. & Mazzolai, B. A growing soft robot with climbing plant-inspired adaptive behaviors for navigation in unstructured environments. Sci. Robot. 9, eadi5908 (2024).
Google Scholar
Bandyopadhyay, A., Traxel, K. D. & Bose, S. Nature-inspired materials and structures using 3D printing. Mater. Sci. Eng. R Rep. 145, 100609 (2021).
Google Scholar
Cohen, Z. & Carlson, N. Piling and pressing: towards a method of 3D printing reinforced concrete columns. Constr. Robot. 4, 61–73 (2020).
Google Scholar
Download references
The authors appreciate the financial support from the Hong Kong Research Grants Council (RIF R6008-24 and HKUST 15231522) and HKUST ‘30 for 30’ Global Talent Acquisition Campaign.
These authors contributed equally: Yuying Zhang, Xiaohong Zhu.
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
Yuying Zhang, Muduo Li, Chao Zhang & Daniel C. W. Tsang
Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA
Xiaohong Zhu & Paulo J. M. Monteiro
Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, China
Xiaohong Zhu & Xiuli Du
School of Materials Science and Engineering, Jiangsu Key Laboratory of Construction Materials, Southeast University, Nanjing, China
Yamei Zhang
Department of Civil Engineering, The University of British Columbia, Vancouver, British Columbia, Canada
Nemkumar Banthia
Institute of Construction Materials, Technische Universität Dresden, Dresden, Germany
Viktor Mechtcherine
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
Josephine V. Carstensen
Escola Politécnica, University of São Paulo, São Paulo, Brazil
Paulo J. M. Monteiro
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
You can also search for this author inPubMed Google Scholar
Yuying Zhang and X.Z. contributed equally to all aspects of the article. M.L. and C.Z. researched data for the article. Yamei Zhang, X.D., N.B., V.M., J.V.C., P.J.M.M. and D.C.W.T. contributed substantially to the discussion of the content and revisions of the article. Yuying Zhang, X.Z., M.L., C.Z. and D.C.W.T. reviewed and edited the manuscript before submission.
Correspondence to Daniel C. W. Tsang.
The authors declare no competing interests.
Nature Reviews Clean Technology thanks M. Kan; H. Zhou, who co-reviewed with P. Zandifaez; and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Reprints and permissions
Zhang, Y., Zhu, X., Li, M. et al. 3D printing technology in concrete construction. Nat. Rev. Clean Technol. (2025). https://doi.org/10.1038/s44359-025-00047-z
Download citation
Accepted: 28 February 2025
Published: 04 April 2025
DOI: https://doi.org/10.1038/s44359-025-00047-z
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
