CAJ | 학술논문

采用MATLAB模块化编程将多目标粒子群优化算法MOPSO和反应谱分析联合起来进行抗震优化设计。根据桥墩在E1和E2两级设防水准地震作用下的抗震性能，采用Pushover分析墩顶的最大漂移率以及概率统计的方法得到全寿命期费用模型对应的工程费用，从而得到费用最小的Pareto解。数值计算结果表明：MOPSO算法和反应谱分析结合能够很好的应用于桥梁全寿命抗震性能设计分析，算法的收敛性和稳定性好，所求得的Pareto最优解在解空间分布均匀且范围较广，可以为桥梁设计提供良好的方案选择空间。
채용MATLAB모괴화편정장다목표입자군우화산법MOPSO화반응보분석연합기래진행항진우화설계。근거교돈재E1화E2량급설방수준지진작용하적항진성능，채용Pushover분석돈정적최대표이솔이급개솔통계적방법득도전수명기비용모형대응적공정비용，종이득도비용최소적Pareto해。수치계산결과표명：MOPSO산법화반응보분석결합능구흔호적응용우교량전수명항진성능설계분석，산법적수렴성화은정성호，소구득적Pareto최우해재해공간분포균균차범위교엄，가이위교량설계제공량호적방안선택공간。
In this research ,the Multiple Objective Particle Swarm Optimization(MOPSO) was incorporated with response spectrum analysis for the seismic optimization design .The total life-cycle costs were derived by using statistic method , which was based on the maximum displacement angle ratio at the top of the pier under the earthquake of two levels (E1 and E2 ) by Pushover analysis ,and then the minimum cost Pareto solution was obtained .Numerical results indicate that the combination of MOPSO algorithm and response spectrum analysis are highly competitive and can be considered a vi-able alternative to solve the life-cycle seismic performance optimization problem .The convergence and stability of the al-gorithm is guaranteed ,and the Pareto optimal solutions are distributed uniformity and extensively ,which is favourable to the bridge design .