Structural Optimization Design of Recycled Materials Based on Genetic Algorithm——A Case Study of Light Wood Structure Floor Grille
Wood is a typical renewable material.Lightweight wooden structures using it as the main building material have broad prospects in the context of dual carbon.However,the traditional design method of light wood structure floor grille based on mechanical analysis software relies excessively on subjective engineering experience,resulting in low efficiency,redundant structural performance of components,and insufficient economy.In order to realize the efficient and economical design of light wood structure floor grille,an objective genetic algorithm was introduced in this paper,build related parameterized geometric models and optimize design mathematical models through Grasshopper,and call the genetic algorithm module in Galapagos to perform optimization with the goal of minimum grille volume.Finally,a modern wood structure kindergarten was taken as an optimization example,and MIDAS software was used to verify the reliability of the optimization results.The results showed that the optimization variables were discrete data,and the maximum adaptation individual appeared in the fifth generation,and the optimization efficiency was considerable.The optimized calculation example design solution could meet the structural security requirements and was 6.4%compared to the original plan.Based on this methods,the economy design schemes of light wood structured buildings in each building function can be used as an effective reference for related engineering practice.
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