基于SIMP和GRSM算法的重型货车车架多目标结构优化

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中图分类号：U463.32 文献标识码：A DOI：10.3969/j.issn.1674-8484.2025.04.012

Abstract：A multi-objective structural optimization on high-strength lightweight design was conducted to address theissues of thedeformationand cracking inheavy truck frames.Afiniteelement modelof the frame wasestablished by usinga pre-processing software Hypermesh with takinga specific11-meter heavy truck frameas the research subjects.Te original heavy truck frame underwent multi-condition multi-objective topologyoptimizationusing the Solid lsotropic Material withPenalization （SIMP）method to identifytheoptimal load-bearing structure.The global response surface method （GRSM） was employed for multi-objective dimensional optimization of the heavy truck frame to reduce its mass.The static and the modal analyses wereperformedontheframeundertheconditionsoftefull-loadbending，thefull-load torsion，theful-load cornering，and theful-load braking.Theresultsshow thattheoptimized frameachievesanaveragestifness increaseofat least 21.1% ，aminimum increaseof 8.9% inlow-orderaveragedynamic frequency，andamass reduction of 3.2% .Therefore，this has enabled the high-strength lightweighting of heavy truck frames.

Keywords： heavy truck; frameconstruction; solid isotropic material with penalization （SIMP）; global response surface method （GRSM）; multi-objective size optimization

有研究表明，重型货车的质量每减轻 100kg ，燃油消耗减少 6%～8% ，尾气排放减少 4% [。（剩余11919字）