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作 者:Amirali REZAEIZADEH Mahsa ZANDI Majid ILCHI GHAZAAN
机构地区:[1]School of Civil Engineering,Iran University of Science and Technology,Tehran 16846-13114,Iran
出 处:《Frontiers of Structural and Civil Engineering》2024年第8期1209-1224,共16页结构与土木工程前沿(英文版)
摘 要:This study focuses on exploring the effects of geometrical imperfections and different analysis methods on the optimum design of Double-Layer Grids(DLGs),as used in the construction industry.A total of 12 notable metaheuristics are assessed and contrasted,and as a result,the Slime Mold Algorithm is identified as the most effective approach for size optimization of DLGs.To evaluate the influence of geometric imperfections and nonlinearity on the optimal design of real-size DLGs,the optimization process is carried out by considering and disregarding geometric nonlinearity while incorporating three distinct forms of geometrical imperfections,namely local imperfections,global imperfections,and combinations of both.In light of the uncertain nature of geometrical imperfections,probabilistic distributions are used to define these imperfections randomly in direction and magnitude.The results demonstrate that it is necessary to account for these imperfections to obtain an optimal solution.It’s worth noting that structural imperfections can increase the maximum stress ratio by up to 70%.The analysis also reveals that the initial curvature of members has a more significant impact on the optimal design of structures than the nodal installation error,indicating the need for greater attention to local imperfection issues in space structure construction.
关 键 词:double-layer grid sizing optimization metaheuristic algorithms geometrical imperfections analysis approach
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