Optimal layout of health monitoring sensor in gymnasium based on improved particle swarm optimization algorithm

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Zhen, Zhang^{; *}

Affiliations: University of Electronic and Technology of China, Zhongshan Institute, Guangdong Zhongshan, China

Correspondence: [*] Corresponding author. Zhang Zhen, University of Elec-tronic and Technology of China, Zhongshan Institute, Guangdong Zhongshan, 528400, China. E-mail: [email protected].

Abstract: The construction of long-span spatial structure is an important measure of the science and technology level of a country’s architecture and is widely used in various landmark buildings. Therefore, it is of great significance to adopt effective methods to monitor the health of long-span space structures and ensure the safety of structures during construction and use. Based on the improved particle swarm optimization algorithm, different fitness functions were selected for the health monitoring project of the gymnasium in Hai Lake New District of Xining according to the structural characteristics. The location of strain sensors and acceleration transducer was optimized to provide a reference for the establishment of a long-span spatial structure health monitoring system. The validity of the method was verified through experiments, so as to provide important practical significance and theoretical support for the study of spatial structure detection.

Keywords: Improved particle swarm optimization algorithm, health monitoring, gymnasium Optimization Research

DOI: 10.3233/JIFS-169634

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2813-2819, 2018