Receptance-based structural health monitoring approach for bridge structures

2009 ◽  
Author(s):  
S. A. Jang ◽  
B. F. Spencer, Jr.
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Health ◽  
Bridge Structures

Structural Health Monitoring

2011 ◽  
pp. 230-243
Author(s):  
Liang Wang ◽  
Tommy Chan ◽  
David Thambiratnam ◽  
Andy Tan
Keyword(s):  
Signal Processing ◽  
Structural Health Monitoring ◽  
Damage Detection ◽  
Statistical Methods ◽  
Health Monitoring ◽  
Transportation Network ◽  
Structural Health ◽  
Before And After ◽  
Bridge Structures ◽  
Wavelet Techniques

<P>Structural health is a vital aspect of infrastructure sustainability. As a part of a vital infrastructure and transportation network, bridge structures must function safely at all times. However, due to heavier and faster moving vehicular loads and function adjustment, such as Busway accommodation, many bridges are now operating at an overload beyond their design capacity. Additionally, the huge renovation and replacement costs are a difficult burden for infrastructure owners. The structural health monitoring (SHM) systems proposed recently are incorporated with vibration-based damage detection techniques, statistical methods and signal processing techniques and have been regarded as efficient and economical ways to assess bridge condition and foresee probable costly failures. In this chapter, the recent developments in damage detection and condition assessment techniques based on vibration-based damage detection and statistical methods are reviewed. The vibration-based damage detection methods based on changes in natural frequencies, curvature or strain modes, modal strain energy, dynamic flexibility, artificial neural networks, before and after damage, and other signal processing methods such as Wavelet techniques, empirical mode decomposition and Hilbert spectrum methods are discussed in this chapter.&nbsp;&nbsp; </P>

scholarly journals Specifications and applications of the technical code for monitoring of building and bridge structures in China

2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668427 ◽  
Author(s):  
Y Yang ◽  
QS Li ◽  
BW Yan
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Large Scale ◽  
Monitoring Methods ◽  
Practical Applications ◽  
Technical Parameters ◽  
Monitoring Techniques ◽  
Structural Health ◽  
Bridge Structures ◽  
Complex Engineering

Recently, the exclusive compulsory technical code (GB 50982-2014) for structural health monitoring of buildings and bridges in China has been developed and implemented. This code covers the majority of the field monitoring methods and stipulates the corresponding technical parameters for monitoring of high-rise structures, large-span spatial structures, bridges and base-isolated structures. This article first presents the comprehensive review and linear comparison of existing structural health monitoring codes and standards. Subsequently, the progress of the codification of GB 50982-2014 is imparted and its main features and specifications are summarized. Finally, in accordance with GB50982-2014, several representative structural health monitoring practical applications of large-scale infrastructures in China are exemplified to illustrate how this national code can bridge the gap between theory and practical applications of structural health monitoring. This technical code is an important milestone in the application of well-established structural health monitoring techniques into the realistic and complex engineering projects. Also, it can provide abundant and authoritative information for practitioners and researchers involving the structural health monitoring techniques.

A Variation Model Method for Real Time System Identification in Bridge Health Monitoring

2018 ◽  
Author(s):  
Ngoc Trung ◽  
Luu ◽  
Al‐Hakam Hamdan ◽  
Michael Polter ◽  
Tobias Mansperger
Keyword(s):  
System Identification ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Damage Model ◽  
Real Time System ◽  
Structural Health ◽  
Multi Stage ◽  
Bridge Structures ◽  
Damage Data ◽  
Variation Model

The Structural Health Monitoring of bridge structures is becoming increasingly important. Due to new developments in the field of sensor and data processing technology, a new method will be introduced, which enables prognosis of the bridge lifespan through system identification based on the monitoring process. Therefore, the damages of the bridge, which are modelled in an appropriate damage model, will be linked with its BIM Model. The damage data will then be variated by using a separate Variation Model. Using this method results in the automatized creation of numerous input models for mass simulation. This forms the basis for a multi‐stage procedure, which identifies the structural bridge state by using the simulation results for a numerical best‐fit method. Thereby engineers can utilize the evaluated models to make more precise decisions and improve the Structural Health Monitoring of bridge structures.

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