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SSRN 5637853 by 23eg201b02 is a document available to read on EtoBox.

This paper presents a data-physics hybrid framework for the automatic design of ultra-high-performance concrete beams, integrating data-driven models with physics-based finite element analysis. The framework utilizes a large language model and genetic optimization to significantly reduce human effort in the design process, achieving an 88% reduction compared to manual methods. The study highlights the effective coordination between these models, enhancing both efficiency and reliability in structural design

Author
23eg201b02
Language
EN