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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

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

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