应用遗传算法和散射Lamb波的板结构损伤识别

Damage identification for plate-like structure using genetic algorithms and scattered Lamb waves

提出了一种基于遗传算法和散射Lamb波的损伤识别方法,能同时识别板结构中损伤的位置和程度。该方法将结构损伤识别转换为优化问题,结合Lamb波的散射模型,通过最小化理论计算结果与实际量测信息之间的差别,遗传算法自适应地搜索出描述损伤位置和程度的参数。为了提高运算效率,采用微种群遗传算法来加速收敛性。数值仿真结果表明了所提出方法的有效性和可应用性。

Structural health monitoring is one of the most promising research areas in the fields of smart materials and structures. This paper proposes a genetic algorithms-based approach for damage identification of plate-like structure using scattered Lamb waves, which can identify either the damage location or the extent simultaneously. In this study, structural damage identification is formulated as an optimization problem. Combining with the scattered Lamb wave model, genetic algorithms adaptively identify the damage location and extent by minimizing the difference between the computed analytical results and measured information. To improve computational efficacy, a micro-genetic algorithms is adopted to accelerate convergence. Numerical simulation study demonstrates the effectiveness and applicability of the proposed method.