Structural performance evaluation of a steel-plate girder bridge using ambient acceleration measurements

Yi, Jin‐Hak; Cho, Su Jin; Koo, Ki-Young; Yun, Chung Bang; Kim, Jeong-Tae; Lee, Chang-Geun; Lee, Won-Tae

doi:10.12989/sss.2007.3.3.281

Cited by 13 publications

(17 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their approach is based on the traffic-induced ambient vibration data as dominating signals in the bridge (Kim et al, 2001;Lee et al, 2002;Lee et al, 2005;Yi et al, 2007). Therefore no traffic blockage is needed.…”

Section: Vibration-based Global Monitoring Techniquesmentioning

confidence: 99%

Smart sensing, monitoring, and damage detection for civil infrastructures

Yun

Min

2010

KSCE J Civ Eng

Self Cite

View full text Add to dashboard Cite

In this paper, recent research and application activities on smart sensing, monitoring, and damage detection for civil infrastructures are briefly introduced. Emphasis is given to the activities in Korea. First, the state of the art in smart sensors technology is reviewed including optical fiber sensors, piezoelectric sensors, and wireless sensors. Then, a brief overview is given to the recent advances in the structural monitoring/damage detection techniques such as ambient vibration-based bridge health evaluation, piezoelectric sensors-based local damage detection, wireless sensor networks and energy harvesting, and wireless power transmission by laser/ optoelectronic devices. Finally, recent collaborative R&D activities on smart structure technologies in Korea are discussed, which have been carried out on test-road bridges, cable-stayed bridges, and railroad bridges, sharing the up-to-date information and promoting the smart sensors and monitoring technologies for applications to civil infrastructures.

show abstract

Section: Vibration-based Global Monitoring Techniquesmentioning

confidence: 99%

Smart sensing, monitoring, and damage detection for civil infrastructures

Yun

Min

2010

KSCE J Civ Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…8. To avoid blocking traffic which is extremely inconvenient to the public, a new bridge rating procedure using a system identification technique based on ambient vibration measurement has been proposed (Yi et al 2007). As summarized in Fig.…”

Section: Bridge Rating Using Ambient Vibrationsmentioning

confidence: 99%

US-Korea collaborative research for bridge monitoring test beds

Yun

Sohn

Lee

et al. 2010

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010

View full text Add to dashboard Cite

This paper presents an interim report on an international collaborative research project between the United States and Korea that fundamentally addresses the challenges associated with integrating structural health monitoring (SHM) system components into a comprehensive system for bridges. The objective of the project is to integrate and validate cutting-edge sensors and SHM methods under development for monitoring the long-term performance and structural integrity of highway bridges. A variety of new sensor and monitoring technologies have been selected for integration including wireless sensors, EM stress sensors and piezoelectric active sensors. Using these sensors as building blocks, the first phase of the study focuses on the design of a comprehensive SHM system that is deployed upon a series of highway bridges in Korea. With permanently installed SHM systems in place, the second phase of the study provides open access to the bridges and response data continuously collected as an internal test-bed for SHM. Currently, basic facilities including Internet lines have been constructed on the test-beds, and the participants carried out tests on bridges on the test road section owned by the Korea Expressway Corporation (KEC) with their own measurement and monitoring systems in the local area network environment. The participants were able to access and control their measurement systems by using Remote Desktop in Windows XP through Internet. Researchers interested in this test-bed are encouraged to join in the collaborative research.

show abstract

“…Acceleration is generally sensitive in measuring dynamic characteristics of a large structure with high convenience in the installation, and strain can be directly converted into current stress condition resisted by the instrumented structural member. Though acceleration and strain possess the majority of the measured responses for the SHM, other responses are often required in practice with specific purposes, including displacement [4][5][6], inclination [7], structural impedance [8], and pH [9].…”

Section: Introductionmentioning

confidence: 99%

Reference-Free Displacement Estimation of Bridges Using Kalman Filter-Based Multimetric Data Fusion

et al. 2016

Self Cite

View full text Add to dashboard Cite

Displacement responses of a bridge as a result of external loadings provide crucial information regarding structural integrity and current conditions. Due to the relative characteristic of displacement, the conventional measurement approach requires reference points to firmly install the transducers, while the points are often unavailable for bridges. In this paper, a displacement estimation approach using Kalman filter-based data fusion is proposed to provide a practical means for displacement measurement. The proposed method enables accurate displacement estimation by optimally utilizing acceleration and strain in combination that have high availability and are free from reference points for sensor installation. The Kalman filter is formulated using a state-space model representing the double integration of acceleration and model-based strain-displacement relationship. The validation of the proposed method is conducted successfully by a numerical simulation and a field experiment, which shows the efficacy and accuracy of the proposed approach in bridge displacement measurement.

show abstract

Structural performance evaluation of a steel-plate girder bridge using ambient acceleration measurements

Cited by 13 publications

References 6 publications

Smart sensing, monitoring, and damage detection for civil infrastructures

Smart sensing, monitoring, and damage detection for civil infrastructures

US-Korea collaborative research for bridge monitoring test beds

Reference-Free Displacement Estimation of Bridges Using Kalman Filter-Based Multimetric Data Fusion

Contact Info

Product

Resources

About