The performance of a monitoring system for civil buildings and infrastructures or mechanical systems depends mainly on the position of the deployed sensors. At the current state, this arrangement is chosen through optimal sensor placement (OSP) techniques that consider only the initial conditions of the structure. The effects of the potential damage are usually completely neglected during its design. Consequently, this sensor pattern is not guaranteed to remain optimal during the whole lifetime of the structure, especially for complex masonry buildings in high seismic hazard zones. In this paper, a novel approach based on multi-objective optimization (MO) and genetic algorithms (GAs) is proposed for a damage scenario driven OSP strategy. The aim is to improve the robustness of the sensor configuration for damage detection after a potentially catastrophic event. The performance of this strategy is tested on the case study of the bell tower of the Santa Maria and San Giovenale Cathedral in Fossano (Italy) and compared to other classic OSP strategies and a standard GA approach with a single objective function.

中文翻译：

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一种用于鲁棒优化传感器放置的多目标遗传算法策略

民用建筑和基础设施或机械系统的监控系统的性能主要取决于部署的传感器的位置。在当前状态下，这种布置是通过仅考虑结构初始条件的最佳传感器放置 (OSP) 技术来选择的。在设计过程中，通常会完全忽略潜在损坏的影响。因此，这种传感器模式不能保证在结构的整个生命周期内保持最佳状态，特别是对于高地震危险区的复杂砖石建筑。在本文中，针对损伤场景驱动的 OSP 策略提出了一种基于多目标优化 (MO) 和遗传算法 (GA) 的新方法。目的是提高传感器配置的鲁棒性，以便在潜在的灾难性事件后进行损坏检测。该策略的性能在 Fossano（意大利）的 Santa Maria 和 San Giovenale 大教堂钟楼的案例研究中进行了测试，并与其他经典 OSP 策略和具有单一目标函数的标准 GA 方法进行了比较。