Optimization of sensor placement in structural health monitoring of solid rocket motor(SHMSRM) was put forward u-sing genetic algorithm. The strain analysis and modal analysis of grain finite element model were performed/by using ANSYS,and the primary selection for sensor placement was accomplished. Then,an optimal sensor placement was worked out based on the genetic algorithm. The damage identification principle of the system was discussed. Based on the data collected by the sensors, change ratio of strain modal was determined as damage identification index,and damage identification for grain was put forward using strain modal analysis. The simulation results show that the proposed methods can efficiently solve the problem of sensor optimal placement and damage identification,%针对固体火箭发动机结构健康监测(SHMSRM)系统的传感器合理布置问题,提出了基于遗传算法的传感器分布优化.利用ANSYS软件对药柱有限元模型进行了应变分析和模态分析,得到了传感器优化布局初选点,再基于遗传算法对初选点进行优化排序.阐述了该系统的损伤识别原理,基于应变传感器所收集的信息,确定了以应变模态变化率作为损伤识别指标,提出了应用应变模态分析解决药柱的损伤识别问题.算例证明了此方法的可行性和有效性.
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