Optimal placement of triaxial accelerometers using hypotrochoid spiral optimization algorithm for automated monitoring of high-rise buildings

摘要

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.