4 documents found, page 1 of 1
Circular economy in EU construction and demolition waste: persistent barriers, ...
Pacheco-Torgal, F.; Ding, Yining; Zhao, Xin-YuConstruction and demolition waste (CDW) is the largest single waste stream in the European Union by weight (~39% of all EU waste), yet the EU’s circular material use rate stood at only 12.2% in 2024 — less than half its 2030 target. Despite two decades of legislative ambition, the 70% recovery target under Directive 2008/98/EC has not been genuinely achieved: apparent compliance by most Member States conceals w...
Challenges and opportunities in construction and demolition waste management fo...
Pacheco-Torgal, F.; Ding, Yining; Zhao, Xin-YuThis chapter underscores the adverse environmental ramifications of resource extraction and the imperative for transitioning toward a circular economy (CE) paradigm. The construction and demolition waste (CDW) sector emerges as a significant arena for embracing CE principles, but faces obstacles such as regulatory incongruities and data integrity concerns. Case studies and modeling endeavors shed light on the i...
Cleaner production of the precast concrete industry: comparative life cycle ana...
Yu, Yong; Pacheco-Torgal, F.; Zhao, Xin-Yu; Wang, Xiao-LuThe in-plant use of recycled aggregate concrete derived from precast rejects (termed PRAC herein) can promote a circular economy in the precast industry. However, the environmental implications associated with this practice remain poorly understood. A refined life cycle assessment (LCA) model was therefore developed to highlight the environmental benefits of using PRAC compared to natural aggregate concrete and...
Innovative modeling framework of chloride resistance of recycled aggregate conc...
Liu, Kai-Hua; Zheng, Jia-Kai; Pacheco-Torgal, F.; Zhao, Xin-YuThis study investigates the feasibility of introducing machine learning algorithms to predict the diffusion resistance to chloride penetration of recycled aggregate concrete (RAC). A total of 226 samples collated from published literature were used to train and test the developed machine learning framework, which integrated four standalone models and two ensemble models. The hyperparameters involved were fine-t...