【摘要】 传感器的优化配置是一类组合优化问题,针对此问题,文章以应变模态保证准则SMAC为优化原则,以SMAC矩阵的最大非对角元为目标函数,针对满足传感器数量不变的约束条件问题,提出改进的二重结构编码遗传算法,并通过现有文献中的算例验证本文所提算法的高效性。算例结果表明,该遗传算法优化结果优于现有的遗传算法,将其应用于复合材料板模型损伤诊断的传感器优化配置是可行的。更多还原

【Abstract】 Optimal sensor placement(OSP) is a critical issue in the construction and implementation of an effective structural health monitoring system;it is a combinatorial optimization problem.To solve the problem,this paper uses a strain modal assurance criterion(SMAC) and takes the maximum off-diagonal element of an SMAC matrix as a target function.A dual-structure coding genetic algorithm is developed to solve the constraint problem of unchanging number of sensors.The proposed algorithm is validated by an example in literature [6],and the results clearly show that the proposed algorithm performs better than other genetic algorithms.Therefore,this method is feasible in the optimal sensor placement of composite laminates aimed at damage diagnosis.更多还原