Study on the predictive model for continuous build height of 3D printed concrete (3DPC) based on printability and early mechanical properties DOI
Yu Zhang,

Zhengxing Yu,

Yunsheng Zhang

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111640 - 111640

Published: Dec. 1, 2024

Language: Английский

A Path towards SDGs: Investigation of the Challenges in Adopting 3D Concrete Printing in India DOI Creative Commons

Bandoorvaragerahalli Thammannagowda Shivendra,

Shahaji,

S. Sathvik

et al.

Infrastructures, Journal Year: 2024, Volume and Issue: 9(9), P. 166 - 166

Published: Sept. 23, 2024

In recent years, three dimensional concrete printing (3DCP) has gained traction as a promising technology to mitigate the carbon footprint associated with construction industry. However, despite its environmental benefits, studies frequently overlook impact on social sustainability and overall influence project success. This research investigates how strategic decisions by firms shape tradeoffs between economic, environmental, in context of 3DCP adoption. Through interviews 20 Indian industry leaders, it was found that companies primarily invest for automation skilled workforce development, rather than solely reasons. The lack incentives sustainable practices government procurement regulations emerges significant barrier widespread adoption 3DCP. Our study identifies five key strategies employ promote through proposes actionable measures intervention stimulate advancement. Addressing these issues is crucial realizing full societal benefits technology.

Language: Английский

Citations

4
Research on 3D Printing Concrete Mechanical Properties Prediction Model Based on Machine Learning DOI Creative Commons
Yonghong Zhang, Suping Cui, Bohao Yang

et al.

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04254 - e04254

Published: Jan. 1, 2025

Language: Английский

Citations

0
Performance-based design of FRP-confined recycled aggregate concrete powered by machine learning techniques DOI
Wenguang Chen, Jinjun Xu, Kequan Yu

et al.

Engineering Structures, Journal Year: 2025, Volume and Issue: 336, P. 120478 - 120478

Published: May 5, 2025

Language: Английский

Citations

0
Next-Generation Cutting-Edge Hybrid AI Frameworks for Predicting Rheological Properties and CO₂ Emissions in Alkali-Activated Concrete DOI Creative Commons
Lu Zhang, Kangning Liu, Ali H. AlAteah

et al.

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04754 - e04754

Published: May 1, 2025

Language: Английский

Citations

0
Minimizing the carbon footprint of 3D printing concrete: Leveraging parametric LCA and neural networks through multiobjective optimization DOI Creative Commons
Willy Jin, Jean‐François Caron, Claudiane Ouellet‐Plamondon

et al.

Cement and Concrete Composites, Journal Year: 2024, Volume and Issue: 157, P. 105853 - 105853

Published: Nov. 26, 2024

Language: Английский

Citations

0
Study on the predictive model for continuous build height of 3D printed concrete (3DPC) based on printability and early mechanical properties DOI
Yu Zhang,

Zhengxing Yu,

Yunsheng Zhang

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111640 - 111640

Published: Dec. 1, 2024

Language: Английский

Citations

0