Abstract Optimal sensor placement aims to use a limited number of sensors to obtain as much information about a structure as possible. This study investigates the optimal placement of triaxial accelerometers for automated monitoring of high-rise buildings using a newly developed hypotrochoid spiral optimization algorithm. The 632-meter-tall Shanghai Tower is used as an example structure to demonstrate and compare the hypotrochoid spiral optimization algorithm with seven existing optimization algorithms, including the artificial bee colony algorithm, flower pollination algorithm, spiral optimization algorithm, Jaya algorithm, lion pride optimization algorithm, particle swarm optimization algorithm, and teaching-learning based optimization algorithm. Three objective functions based on the modal assurance criterion are applied to measure the utility of sensor configurations for modal identification. Two different structural models with different types of elements are investigated to identify the effect of structural models on the optimal sensor placement. The results reveal that the hypotrochoid spiral optimization algorithm provides the best solution using a detailed structural model and multi-objective function.

中文翻译：

---

使用次摆线螺旋优化算法的三轴加速度计的优化放置用于高层建筑的自动监测

摘要 最佳传感器放置旨在使用有限数量的传感器来获取尽可能多的结构信息。本研究使用新开发的次摆线螺旋优化算法研究了用于高层建筑自动监测的三轴加速度计的最佳位置。以632米高的上海中心大厦为实例结构，演示和对比下摆线螺旋优化算法与人工蜂群算法、花授粉算法、螺旋优化算法、Jaya算法、狮子骄傲优化等七种现有优化算法算法、粒子群优化算法和基于教学的优化算法。应用基于模态保证准则的三个目标函数来测量传感器配置对模态识别的效用。研究了具有不同类型元素的两种不同结构模型，以确定结构模型对最佳传感器放置的影响。结果表明，次摆线优化算法使用详细的结构模型和多目标函数提供了最佳解决方案。