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基于遗传算法的大型门式起重机主梁轻量化研究

Research on Lightweight of Main Girder of Large Gantry Crane Based on Genetic Algorithm
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摘要 建立了大型门式起重机纵梁轻量化的数学模型,并运用遗传算法对该模型进行了优化,优化后起重机纵梁质量比未经优化处理时减轻了16.55%。最后,运用该优化参数结果,对纵梁进行了建模分析。结果显示:在各种工况下,优化后纵梁的整体应力水平有所提高,纵梁的最大应力接近材料的屈服极限,材料的利用率提高了。分析结果表明了该模型的准确性及遗传算法解决大型门式起重机骨架轻量化问题的有效性和实用性。 A mathematical model for lightweight crane stringer of large gantry crane was established.The model was optimized by genetic algorithm.After optimization,the quality of the crane stringer was reduced by 16.55% compared with the unoptimized treatment.Finally,the crane stringer was modeled and analyzed by using the results of the optimized parameters.The results showed that under various working conditions,the overall stress level of the optimized crane stringer was improved,the maximum stress of the crane stringer was close to the yield limit of the material,and the utilization rate of the material was improved.The analysis results showed the accuracy of the model and the effectiveness and practicability of the genetic algorithm to solve the lightweight problem of the large gantry crane skeleton.
作者 宿爱香 陈增江 孙文磊 SU Aixiang;CHEN Zengjiang;SUN Wenlei
出处 《化工装备技术》 CAS 2018年第6期18-20,共3页 Chemical Equipment Technology
关键词 大型门式起重机 遗传算法 参数优化 主梁 轻量化 Large gantry crane Genetic algorithm Parameter optimization Stringer Lightweight
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