基于稀疏网格模型与MOGA算法的起重机主梁结构优化
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摘要
针对通用的双梁桥式起重机,提出了一种结合稀疏网格模型与MOGA算法的优化方法。运用稀疏网格模型对主梁结构参数进行拟合,模型能够自动网格细化,在减小计算量的同时保证模型建立的准确性,再通过MOGA算法对拟合的模型进行求解。相比于一般的响应面优化或者遗传算法优化,其求解的误差更小,迭代求解次数更少,效率更高。优化的结果为:质量减轻了9. 6%,最大应力为78. 85 MPa,最大变形量为30. 44 mm,垂直振动频率为4. 93 Hz。
A new method combing sparse grid model with MOGA algorithm was proposed to analyzing the universal bridge crane.The sparse grid model and automatic mesh refinement was used to fit the main beam structure parameter of crane,which can reduce the calculated amount and ensure the accuracy of model. The MOGA algorithm was used to solve the fitted model. Compared with general response surface optimization or genetic algorithm optimization,the error of solving was smaller,the number of iterative solutions was less,and the efficiency was higher. The optimized results are: mass loss of 9. 6 %,maximum stress of 78. 85 MPa,maximum deformation of 30. 44 mm,and vertical vibration frequency of 4. 93 Hz.
A new method combing sparse grid model with MOGA algorithm was proposed to analyzing the universal bridge crane.The sparse grid model and automatic mesh refinement was used to fit the main beam structure parameter of crane,which can reduce the calculated amount and ensure the accuracy of model. The MOGA algorithm was used to solve the fitted model. Compared with general response surface optimization or genetic algorithm optimization,the error of solving was smaller,the number of iterative solutions was less,and the efficiency was higher. The optimized results are: mass loss of 9. 6 %,maximum stress of 78. 85 MPa,maximum deformation of 30. 44 mm,and vertical vibration frequency of 4. 93 Hz.
引文
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[4]尉鹤缤.基于改进退火-粒子群混合算法的桥式起重机主梁优化设计[D].邯郸:河北工程大学,2016.
[5]徐锡锋.桥门式起重机箱梁结构与加强肋的耦合机理研究[D].成都:西南交通大学,2013.
[6]禹海燕.桥式起重机空腹式箱型主梁的有限元分析[D].太原:太原科技大学,2008.
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