2014
DOI: 10.3901/jme.2014.18.127
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Optimization Design for Auto-body Beam Section Based on Complex Engineering Constraints

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Cited by 3 publications
(3 citation statements)
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“…Wang et al [11] applied the sequential quadratic programming method to optimize the dimensions of the BIW main section to achieve weight reduction and stiffness improvement of the BIW. Hou et al [12] coupled the beam section shape optimization problem with the NSGA-II algorithm-based section material and thickness optimization problem to achieve multi-objective optimization of body performance, cost, and weight. Zhang et al [13] used a multi-objective intelligent adaptive optimization algorithm (MIAOA) to iterate node coordinates for weight reduction, stiffness and mode optimization on the basis of parametric modeling of section nodes.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [11] applied the sequential quadratic programming method to optimize the dimensions of the BIW main section to achieve weight reduction and stiffness improvement of the BIW. Hou et al [12] coupled the beam section shape optimization problem with the NSGA-II algorithm-based section material and thickness optimization problem to achieve multi-objective optimization of body performance, cost, and weight. Zhang et al [13] used a multi-objective intelligent adaptive optimization algorithm (MIAOA) to iterate node coordinates for weight reduction, stiffness and mode optimization on the basis of parametric modeling of section nodes.…”
Section: Introductionmentioning
confidence: 99%
“…Cho et al [ 13 ] used the size optimization method to optimize the design of the rail transit car body and achieved a lightweight effect by reducing the body weight by 29%. Hou et al [ 14 ] optimized the multiobjective design of structural performance, cost, and mass and reduced the mass of the components while increasing the structural stiffness. Emirci and Yildiz [ 15 ] compared and analyzed the anticollision and energy-absorbing characteristics of the body energy-absorbing box using aluminium alloy and high-strength steel.…”
Section: Introductionmentioning
confidence: 99%
“…In general, the results of continuous size optimization need to be rounded according to the available size parameters, so the results of discrete size optimization are more in line with the actual needs of engineering [17]. At the same time, there are more optimization variables for discrete optimization, such as cross section [18,19] and material [20][21][22]. In addition, the variables in the assignment problem and scheduling problem are also discrete, so discrete optimization is also applied to solve these problems.…”
Section: Introductionmentioning
confidence: 99%