Structural Optimization of Heavy Haul Wagon Body Based on MPSO-BP Algorithm

Author(s):  
Wenfei Liu ◽  
yongju zhang ◽  
Qitai Liu ◽  
Bo Zhang ◽  
Qiangxiao Fu

Fatigue cracks usually occur at welded joints of heavy haul wagon body, in order to effectively curb the occurrence of such problems from the design stage, it is researched from structural design strategy to structural optimization method in this paper. Firstly, when analyzing the finite element simulation results, the new structural design strategy not only pays attention to the maximum stress which can reflect the stress concentration position, but also focuses on the stress distributions at the key welded joints. Secondly, in order to further reduce the stress at the key positions, the paper gives the optimization method which integrates orthogonal experimental design, BP network and MPSO algorithm. Finally, 80t gondola car body is optimized from the whole structure to the local area by the method. Meanwhile, it is also verified that the structural optimization method of heavy haul wagon body is reasonable and feasible.

Crystals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 417
Author(s):  
Xunqian Xu ◽  
Yuwen Gu ◽  
Wei Huang ◽  
Dakai Chen ◽  
Chen Zhang ◽  
...  

Fatigue cracks often occur in the deck asphalt pavement of steel bridges at the top of the longitudinal stiffening rib. To prevent this issue, the traditional design strategy of the steel bridge deck asphalt pavement structure was optimized, and a new approach is presented. This optimization technique exploits the strength simulation of the steel—epoxy asphalt pavement structure, and the stress concentration location is subsequently determined. A solid model of stress concentration including sensitive areas is then established. We examined the stress maximum point of the asphalt pavement layer at the top of the longitudinal stiffeners and the stress variation of the asphalt pavement layer at the top of the longitudinal stiffeners. To reduce the stress of the top pavement layer of the longitudinal stiffeners, an optimization method that combines orthogonal experimental design, neural network (BP), and genetic algorithm (GA) is presented. A design strategy for the steel—epoxy asphalt pavement structure and GA—BP optimization method was utilized to optimize the structure of the steel—epoxy asphalt pavement for Sutong Yangzi River Bridge. We confirmed that the presented approach improved fatigue reliability and established the efficacy of the design strategy and optimization method.


2021 ◽  
Vol 11 (14) ◽  
pp. 6317
Author(s):  
Feng Jin ◽  
Hong Xiao ◽  
Mahantesh M Nadakatti ◽  
Huiting Yue ◽  
Wanting Liu

In this study, the rapid growth of corrugation caused by the bad quality of grinding works and their wavelength, depth, and evolution processes are captured through field measurements. The residual grinding marks left by poor grinding quality lead to further crack accumulation and corrugation deterioration by decreasing plastic resistance in rails. In this case, the average peak-to-peak values of corrugation grow extremely fast, reaching 1.4 μm per day. The finite element method (FEM) and fracture mechanics methodologies were used to analyze the development and trends in rail surface crack deterioration by considering rails with and without grinding marks. Crack propagation trends increase with residual grinding marks, and they are more severe in circular curve lines. To avoid the rapid deterioration of rail corrugation, intersections between grinding marks and fatigue cracks should be avoided.


2014 ◽  
Vol 496-500 ◽  
pp. 429-435
Author(s):  
Xiao Ping Zhong ◽  
Peng Jin

Firstly, a two-level optimization procedure for composite structure is investigated with lamination parameters as design variables and MSC.Nastran as analysis tool. The details using lamination parameters as MSC.Nastran input parameters are presented. Secondly, with a proper equivalent stiffness laminate built to substitute for the lamination parameters, a two-level optimization method based on the equivalent stiffness laminate is proposed. Compared with the lamination parameters-based method, the layer thicknesses of the equivalent stiffness laminate are adopted as continuous design variables at the first level. The corresponding lamination parameters are calculated from the optimal layer thicknesses. At the second level, genetic algorithm (GA) is applied to identify an optimal laminate configuration to target the lamination parameters obtained. The numerical example shows that the proposed method without considering constraints of lamination parameters can obtain better optimal results.


Author(s):  
Jungmok Ma ◽  
Minjung Kwak ◽  
Harrison M. Kim

The Predictive Product Lifecycle Design (PPLD) model that is proposed in this paper enables a company to optimize its product lifecycle design strategy by considering pre-life and end-of-life at the initial design stage. By combining lifecycle design and predictive trend mining technique, the PPLD model can reflect both new and remanufactured product market demands, capture hidden and upcoming trends, and finally provide an optimal lifecycle design strategy in order to maximize profit over the span of the whole lifecycle. The outcomes are lifecycle design strategies such as product design features, the need for buy-backs at the end of its life, and the quantity of products remanufacturing. The developed model is illustrated with an example of a cell phone lifecycle design. The result clearly shows the benefit of the model when compared to a traditional Pre-life design model. The benefit would be increased profitability, while saving more natural resources and reducing wastes for manufacturers own purposes.


Author(s):  
Binghuan Xiao ◽  
Xuegeng Mao ◽  
Jinzhao Liu ◽  
Liubin Niu ◽  
Xiaodi Xu ◽  
...  

1999 ◽  
Vol 42 (4) ◽  
pp. 1068-1077
Author(s):  
Shinji NISHIWAKI ◽  
Emilio Carlos Nelli SILVA ◽  
Ying LI ◽  
Noboru KIKUCHI

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