2022
DOI: 10.1177/16878132221098898
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Multi-objective structural optimization of the aluminum alloy subway car body based on an approximate proxy model

Abstract: To improve the comprehensive structural performance and optimize the structural quality of the aluminum alloy subway car body, a multi-objective structural optimization method based on a response surface approximate proxy model was proposed. On the basis of the sensitivity calculation of the objective response to the thickness changes of profiles in different regions of the car body, 21 groups of plate variables with the highest optimization potential were selected for optimization. The optimization experiment… Show more

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Cited by 5 publications
(4 citation statements)
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“…If you have higher requirements for quality, you can choose option 3. The above results show that the improvement of the basic ant colony algorithm is effective and can be applied in multi-objective optimization management in engineering [8][9][10].…”
Section: Experimental Results and Analysismentioning
confidence: 78%
“…If you have higher requirements for quality, you can choose option 3. The above results show that the improvement of the basic ant colony algorithm is effective and can be applied in multi-objective optimization management in engineering [8][9][10].…”
Section: Experimental Results and Analysismentioning
confidence: 78%
“…In view of the influence of flexible connecting rod on the accuracy of rapier belt motion, the author proposes to increase the section size of connecting rod to improve its structural stiffness and reduce the influence of flexible deformation on the acceleration of rapier belt. The width and thickness of the connecting rod were increased by 10 mm each time, and the structure of the connecting rod was optimized twice [11][12][13]. The parameter pairs before and after connecting rod optimization are shown in Table 4.…”
Section: Structure Optimization Experiments and Results Analysismentioning
confidence: 99%
“…The approximate model method (APProximation Model) uses a mathematical model to be similar to a set of input variables and response variables, which can shorten the actual simulation and solve time to increase the calculation efficiency. Fast convergence to the best point of the overall situation [16][17]. The approximation models provided in Isight software are the response surface model (RSM), radial base neural network model (RBF), orthogonal polynomial model (orthogonal), Kriging, etc.…”
Section: Optimization Methodsmentioning
confidence: 99%