Application of building prefabricated diaphragm walls: Mechanics-carbon dual-control parametric segmentation decision-making framework

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As a crucial innovation in building below-grade envelope structures, prefabricated diaphragm walls (PDWs) require the integration of multi-layer information for effective segmentation. Existing decision-making approaches rely on a single condition, leading to significant disparities between decision outcomes and actual requirements. This study introduces the mechanic-carbon dual-control parametric segmentation decision-making (MCSD) framework for PDWs to integrate multi-layer information. MCSD framework firstly performs parametric characterization of PDW component shapes and local transport constraints. Refined numerical modeling is next employed to identify the dominant mechanical factors influencing segmentation decision-making. Optimization algorithm is developed to automatically generate feasible schemes. Finally, carbon assessment is utilized to identify optimal segmentation schemes. MCSD framework is verified by actual engineering and the following key findings are obtained. Compared to empirical methods, MCSD could quantitatively determine feasible segmentation positions across the entire surface of PDWs. Notably, MCSD reveals the competitive relationship between horizontal and longitudinal joints for the first time. By incorporating this mechanism for decision optimization, carbon dioxide equivalent could be reduced by up to 29.3%. Ultimately, MCSD transcends the traditional boundary between mechanics and carbon, enabling automated planning of PDW segmentation. This study provides scientific and quantitative guideline for the segmentation decisions of building prefabricated enclosure structures.