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。
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.
出处
《浙江理工大学学报（自然科学版）》
2012年第5期677-682,共6页
Journal of Zhejiang Sci-Tech University(Natural Sciences)
基金
国家自然科学基金(50805132)
教育部博士点基金(200803380001)
浙江省科技计划项目(2009C14037)
浙江省重点科技创新团队(2011R50005)
关键词
传感器优化配置
应变模态
二重结构编码
遗传算法
optimal sensor placement
strain modal
dual-structure coding
genetic algorithms
