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Static and dynamic impact performance optimization of CFRP/Al bolt joint coupling structure-lay-up-connection parameters

Xu Wenchao, Wang Dengfeng

Archives of Civil and Mechanical Engineering

2022

Vol. 22, no. 3

art. no. e118

Static shearing, drawing, and dynamic impact test schemes of carbon fber reinforced polymer (CFRP)/aluminum alloy (Al) bolt joint were designed. The fnite element model of the CFRP/Al bolt joint was established, and the failure modes of the joints under the static and dynamic impact conditions were analyzed. The structure, lay-up, and connection parameters of the joint were defned as design variables, and the static and dynamic impact performance indicators of the joint and the lay-up numbers of the CFRP sheet were defned as optimization objectives. Integrated multiobjective optimization was conducted for joints, employing the radial basis function neural network (RBFNN) surrogate model, elitist nondominated sorting genetic (NSGA-II) algorithm, and entropy-technique for order preference by similarity to ideal solution (E-TOPSIS) decision method. The best trade-of solution was obtained, and the optimal design variables were determined. The optimized joint was fabricated, and static and dynamic impact tests were carried out. The test and simulation results were compared to verify the efectiveness of simulation and optimization.

Crashworthiness-based multi-objective integrated optimization of electric vehicle chassis frame

Wang Shuang, Wang Dengfeng

Archives of Civil and Mechanical Engineering

2021

Vol. 21, no. 3

303--320

Chassis frame of electric vehicle contains several thin-walled tube structures that can provide an important component for installing the power unit and supporting the body in white of vehicle. Thus, design a chassis frame is a multi-objective optimization and multi-parameter problem. To address it, the contributions of design variables to the performance indicators of chassis frame are studied first, and obtained the optimal design variables. The effects of the design parameters on the objective responses are analyzed based on a polynomial response surface model. Moreover, to determine optimal solution between the conflicting performance indicators of the chassis frame, an integrated approach based on lightweight and crashworthiness is presented to analysis the performance and determine the Pareto fronts. In addition, the optimal solution is acquired from the Pareto fronts by the grey relational analysis and game theory. Experiments corresponding to the numerical analysis are performed to verify the feasibility of the optimized strategy and the performance of the optimized chassis frame structure. Results show that according to the optimal parameters of chassis frame, the lightweight performance can be improved significantly, while the linear performance and crashworthiness performance of chassis frame are ensured.