基于云量子遗传算法的核用桥起减震装置的优化与分析

核电厂专用桥式起重机在运行工作中常受到地震载荷的影响，针对该问题本文通过引入粘滞阻尼器对原有减震装置进行了改进，并采用云量子遗传算法对引入的粘滞阻尼器阻尼系数进行优化选取。通过仿真实验完成了桥式起重机有限元模型和等效单自由度实验模型的地震位移响应的结果比对以及减震装置改进前后位移、应力分析。结果表明：改进后桥式起重机整体强度、刚度及稳定性均符合安全要求，在减震结构时程分析上具有良好的一致性，减震率也有进一步提升。该结论可为后续的桥式起重机减震研究等提供理论参考。

Optimization and Analysis of Shock Absorber of NuclearBridge Crane Based on Cloud Quantum Genetic Algorithm

The special bridge crane for nuclear power plant is often affected by seismic loads in operation. Aiming at this problem, Fluid Viscous Damper was introduced to improve the original shock absorber, and the damping coefficient was optimized by using the Cloud Quantum Genetic Algorithm. The seismic displacement response of the bridge crane finite element model and the equivalent single-degree-of-freedom model was compared, the displacement and stress before and after improvement of shock absorber are also analyzed by simulation. Experimental results show that: After improvement the overall strength, stiffness and stability of the bridge crane meet the safety requirements. The conclusion of this study can provide theoretical reference for the research of the bridge crane vibration reduction.