基于二重结构编码遗传算法的传感器优化配置
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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.
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.
引文
[1]袁慎芳.结构健康监控[M].北京:国防工业出版社,2007:18-22.
[2]许强.模态测试中传感器优化布设的初步研究[D].重庆:重庆交通大学,2007.
[3]Montalvo D,Maia N M M,Ribeiro A M P.A Review of vibration-based structural health monitoring with spe-cial emphasis on composite materials[J].Shock and Vi-bration Digest,2006,38(4):295-324.
[4]Roy,Tarapada.Genetic algorithm based optimal design for vibration control of composite shell structures using piezoelectric sensor and actuators[J].International Journal of Mechanics and Materials in Design,2009,5(1):45-60.
[5]张连振,黄侨,王潮海.基于多目标遗传算法的传感器优化布点研究[J].工程力学,2007,24(4):168-172.
[6]董晓马.智能结构的损伤诊断研究及其传感器优化配置[M].河南:黄河水利出版社,2008:103-104.
[7]宗周红,孙建林,徐立群,等.大跨度连续刚构桥健康监测加速度传感器优化布置研究[J].地震工程与工程振动,2009,29(2):150-158.
[8]刘娟,黄维平.二重结构编码遗传算法在传感器配置中的应用[J].振动、测试与诊断,2004,24(4):281-284.
[9]袁爱民,戴航.EI法和MAC法在模态试验传感器优化布置中应用比较[J].工业建筑,2008,38(增刊):344-347.
[2]许强.模态测试中传感器优化布设的初步研究[D].重庆:重庆交通大学,2007.
[3]Montalvo D,Maia N M M,Ribeiro A M P.A Review of vibration-based structural health monitoring with spe-cial emphasis on composite materials[J].Shock and Vi-bration Digest,2006,38(4):295-324.
[4]Roy,Tarapada.Genetic algorithm based optimal design for vibration control of composite shell structures using piezoelectric sensor and actuators[J].International Journal of Mechanics and Materials in Design,2009,5(1):45-60.
[5]张连振,黄侨,王潮海.基于多目标遗传算法的传感器优化布点研究[J].工程力学,2007,24(4):168-172.
[6]董晓马.智能结构的损伤诊断研究及其传感器优化配置[M].河南:黄河水利出版社,2008:103-104.
[7]宗周红,孙建林,徐立群,等.大跨度连续刚构桥健康监测加速度传感器优化布置研究[J].地震工程与工程振动,2009,29(2):150-158.
[8]刘娟,黄维平.二重结构编码遗传算法在传感器配置中的应用[J].振动、测试与诊断,2004,24(4):281-284.
[9]袁爱民,戴航.EI法和MAC法在模态试验传感器优化布置中应用比较[J].工业建筑,2008,38(增刊):344-347.
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