CAJ | 학술논문

薄壁吸能结构的抗弯性能评估是多方面的，并且各个质量特性之间可能会发生相互冲突。因此，薄壁结构弯曲吸能特性的优化设计非常困难。为了解决上述问题，文章提出了一种结合试验设计技术、径向基函数近似建模技术、序列采样策略和多目标粒子群算法的序列近似多目标优化设计方法，进行了薄壁结构的弯曲吸能特性优化设计。优化结果表明，该方法提高了薄壁结构的弯曲吸能特性，比传统的优化方法具有更高的优化设计效率；并且在相同的求解效率下，序列采样策略比常规采样策略具有更高的精度，能大幅提高产品的设计质量。
박벽흡능결구적항만성능평고시다방면적，병차각개질량특성지간가능회발생상호충돌。인차，박벽결구만곡흡능특성적우화설계비상곤난。위료해결상술문제，문장제출료일충결합시험설계기술、경향기함수근사건모기술、서렬채양책략화다목표입자군산법적서렬근사다목표우화설계방법，진행료박벽결구적만곡흡능특성우화설계。우화결과표명，해방법제고료박벽결구적만곡흡능특성，비전통적우화방법구유경고적우화설계효솔；병차재상동적구해효솔하，서렬채양책략비상규채양책략구유경고적정도，능대폭제고산품적설계질량。
The flexural performance of thin‐walled energy absorption structures is characterized by a number of quality and/or performance indices ,some of which could conflict with each other .There‐fore ,it would be very difficult to make the optimization design of the bending energy absorbing ability of thin‐walled structures .In order to solve the problem above‐mentioned ,a sequential approximation multi‐objective optimization algorithm is presented which integrates experimental design technology , radial basis function approximation modeling technology ,sequential sampling strategy and multi‐ob‐jective particle swarm optimization algorithm .The bending energy absorbing ability of the thin‐walled structures is optimized by the presented method ,and the results show that the method can significant‐ly improve the bending energy absorbing ability of thin‐walled structures .The method has higher op‐timization efficiency than traditional optimization methods .And the sequential sampling method has higher accuracy than the conventional sampling strategy under the same solution efficiency , thus greatly improving the design quality of the product .