Structural Health Monitoring for Bridge Crane Based on Low Temperature-Sensitivity FBG Sensors

Low Cost Fiber Bragg Grating( FBG) Sensors for Structural Health Monitoring INITIAL PROJECT REPORT

Integrating Bridge Structural Health Monitoring and Condition-Based Maintenance Management

The development of structural health monitoring (SHM) technology has evolved for over fifteen years in Hong Kong since the implementation of the “Wind And Structural Health Monitoring System (WASHMS)” on the suspension Tsing Ma Bridge in 1997. Five cable-supported bridges in Hong Kong, namely the Tsing Ma (suspension) Bridge, the Kap Shui Mun (cable-stayed) Bridge, the Ting Kau (cable-stayed) B...

An Experimental Study on the Effect of Temperature on Piezoelectric Sensors for Impedance-Based Structural Health Monitoring

The electromechanical impedance (EMI) technique is considered to be one of the most promising methods for developing structural health monitoring (SHM) systems. This technique is simple to implement and uses small and inexpensive piezoelectric sensors. However, practical problems have hindered its application to real-world structures, and temperature effects have been cited in the literature as...

A new kind of smart bridge cable based on FBG sensors

Cables are the key components of cable-stayed bridges, suspension bridges, hanging bridges and so on. The bridge cables in service are easily damaged due to the factors of environment corrosion, fatigue, materials aging, stress redistribution, etc, which result in that the cables can not stand as long as designed. Nowadays, engineers depend on manometers and accelerometers, even electro-magneti...

Movement identification model of port container crane based on structural health monitoring system

This study presents a steel container crane movement analysis and assessment based on structural health monitoring (SHM). The accelerometers are used to monitor the dynamic crane behavior and a 3-D finite element model (FEM) was designed to express the static displacement of the crane under the different load cases. The multi-input single-output nonlinear autoregressive neural network with exte...