Traditional architectural and structural design workflows often require repetitive manual operations. Although recent artificial intelligence methods have advanced floor plan generation and structural design, most studies focus on isolated subtasks and simple residential datasets, limiting their applicability to detach...
Computational design has profoundly influenced structural design. However, its integration into the structural design workflow remains limited, leaving considerable room for further development. To facilitate a more systematic review of this topic, this paper proposes a novel three-category classification of computat...
Yongjun Kang, Guanjun Liu, Danbing Long et al.· Journal of computing in civi...· 0 citations
Serving as critical load supports and transfer components in shear wall structures, beams require layout designs that balance mechanical rationality with architectural functionality constraints. Conventional design methods, which rely on engineers' expertise, are challenging to systematize and are inherently inefficien...
Wen-Jie Liao, Ji-Kang Xia, Yi Gu et al.· Engineering structures· 1 citation
This work presents StructureClaw, an artifact-centered workbench in which LLM agents operate through governed engineering skills, typed tools, shared artifact state, and local analysis backends, together with StructureClaw-Bench, an executable benchmark of 150 controlled scenarios spanning standard workflows, interacti...
Sizhong Qin, Yi Gu, Yao Jiang et al.· arXiv.org· 0 citations
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