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Integrative approach for transducer positioning optimization for ultrasonic structural health monitoring for the detection of deterministic and probabilistic damage location

机译：超声结构健康监测换能器定位优化换能器定位优化的综合性方法，检测确定性和概率损伤位置

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摘要

The concept of structural health monitoring has been introduced to ensure structural integrity during the design lifetime of a structure. The main objectives of structural health monitoring are to detect, locate, quantify, and predict any damage that occurs during this lifetime of the structure so that effective and efficient maintenance and repair procedures can be performed. The location of structural damage events can be discretized as deterministic and probabilistic. A deterministic location specifies that the damage occurs in high-stress regions or other regions that can be predicted by the structural design, such as the most probable location for a fatigue crack. A probabilistic damage event is one where the location of the damage is independent of structural design parameters, such as hail impact, bird strike, and impact from ground vehicles. A structural health monitoring system should be able to handle both these damage occurrences. In our previous work, we optimized the transducer placement in Lamb wave–based structural health monitoring for the detection of a fatigue crack that emerges from a rivet hole. In this article, we demonstrate a combination of that method with a different sensor placement optimization method to add the capability to detect probabilistic damage location. First, we considered the ultrasonic wave attenuation in the structure and based on this attenuation, we created a fitness function. Since this fitness function is difficult to solve due to its combinatorial nature, we compared three common metaheuristic stochastic strategies: global random search, greedy algorithm, and genetic algorithm, for solving this problem. The results of this analysis were then integrated with the previously described deterministic approach, making a global structural health monitoring sensor placement strategy that balances the need to detect both pre-determined and random damage location occurrences. The analytical result of the study presented is validated by experiment.
机译：已经引入了结构健康监测的概念，以确保结构寿命的结构完整性。结构健康监测的主要目标是检测，定位，量化和预测结构在结构的寿命期间发生的任何损坏，从而可以进行有效和有效的维护和修理程序。结构损坏事件的位置可以被离散化为确定性和概率。确定性位置指定发生在高应力区或可以由结构设计来预测其他区域，诸如用于疲劳裂纹的最可能位置的损伤。概率损坏事件是损坏的位置独立于结构设计参数，例如冰雹冲击，鸟击和从地面车辆的冲击。结构健康监测系统应该能够处理这两个损坏发生。在我们以前的工作中，我们优化了基于羊波的结构健康监测的换能器放置，以检测从铆钉孔出现的疲劳裂缝。在本文中，我们用不同的传感器放置优化方法展示该方法的组合，以增加检测概率损伤位置的能力。首先，我们考虑了结构中的超声波衰减并基于这种衰减，我们创建了一个健身功能。由于这种健身功能由于其组合性质而难以解决，因此我们比较了三种常见的常规内部随机策略：全局随机搜索，贪婪算法和遗传算法，以解决这个问题。然后将该分析的结果与先前描述的确定性方法集成，使得全局结构健康监测传感器放置策略，该策略余额余额来检测预定和随机损坏位置出现的需要。提出的研究的分析结果通过实验验证。

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