Optimal Sensor Placement for Structural Health Monitoring

This paper investigates methodologies for optimizing sensor placement to achieve more accurate and comprehensive structural health monitoring. We provide detailed explanations of sensor selection criteria, fundamental placement principles, and implementation methods, accompanied by practical examples demonstrating optimization approaches for various structural configurations. The discussion includes algorithmic considerations such as effective independence methods for maximizing modal information and sensor placement algorithms utilizing genetic optimization techniques. Furthermore, the paper examines the critical role of sensors in structural health monitoring systems and illustrates how these technologies and methodologies can be applied in research settings. For researchers and engineers specializing in structural health monitoring, this work offers valuable insights and practical guidance supported by computational implementation strategies, including MATLAB code snippets for sensor position optimization and modal participation factor calculations, to enhance both research capabilities and practical applications.