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

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.

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Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)