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Structural damage assessment using FRF employing particle swarm optimization

机译：使用粒子群优化的FRF进行结构损伤评估

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摘要

This paper evaluates the use of Frequency Response Function (FRF) with the help of Particle Swarm Optimization (PSO) technique, for structural damage detection and quantification. The robustness and efficiency of the above method has been established after comparing results between the two methods namely Genetic Algorithm (GA), and PSO, considering natural frequencies as response quantities. The performance of these methods has been evaluated for beam and plane frame structures with various damage scenarios. FRF based damage detection technique is employed subsequently along with PSO. It is observed that the use of FRF as response of damaged structure has led to better accuracy, since it contains data related to mode shape in addition to natural frequencies.
机译：本文借助粒子群优化（PSO）技术评估了频率响应函数（FRF）在结构损伤检测和量化方面的应用。通过比较两种方法（遗传算法（GA）和PSO）的结果（考虑自然频率作为响应量），确定了上述方法的鲁棒性和效率。这些方法的性能已针对具有各种损坏情况的梁和平面框架结构进行了评估。随后将基于FRF的损坏检测技术与PSO一起使用。可以看出，使用FRF作为受损结构的响应已导致更好的准确性，因为它除了包含固有频率外还包含与振型相关的数据。

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