Computer vision-based displacement identification and its application to bridge condition assessment under operational conditions

QR Code

Computer vision-based displacement identification and its application to bridge condition assessment under operational conditions

Bridge damage detection is crucial for ensuring the safety and integrity of the bridge structure. Traditional methods for damage detection often rely on manual inspections or sensor-based measurements, which can be time-consuming and costly. In recent years, computer vision techniques have shown pro...

Full description

Bibliographic Details
Main Authors:	Peng, Zhen, Li, Jun, Hao, Hong
Format:	Journal Article
Published:	ELSP 2024
Online Access:	http://purl.org/au-research/grants/arc/FT190100801 http://hdl.handle.net/20.500.11937/94981

Similar Items

Computer vision-based in-situ bridge displacement measurement
by: Peng, Zhen, et al.
Published: (2023)

Condition monitoring of truss bridges with relative displacement sensors
by: Li, Jun, et al.
Published: (2015)

Health monitoring of joint conditions in steel truss bridges with relative displacement sensors
by: Li, Jun, et al.
Published: (2015)

Condition monitoring of shear connection under ambient vibrations with relative displacements
by: Li, Jun, et al.
Published: (2014)

Out-of-plane full-field vibration displacement measurement with monocular computer vision
by: Shao, Yanda, et al.
Published: (2024)

Smart structural health monitoring using computer vision and edge computing
by: Peng, Zhen, et al.
Published: (2024)

Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology
by: Hao, Hong, et al.
Published: (2017)

In Situ Data Analysis for Condition Assessment of an Existing Prestressed Concrete Bridge
by: Gunawardena, Y., et al.
Published: (2018)

Mobile crowdsensing framework for drive-by-based dense spatial-resolution bridge mode shape identification
by: Peng, Zhen, et al.
Published: (2023)

Damage detection of bridge structures under changing environmental and operational conditions
by: Soo Lon Wah, William Soo Pow Kune
Published: (2019)

Development and application of a relative displacement sensor for structural health monitoring of composite bridges
by: Li, Jun, et al.
Published: (2015)

Monocular vision based 3D vibration displacement measurement for civil engineering structures
by: Shao, Y., et al.
Published: (2023)

Dynamic condition assessment of shear connectors in composite bridges with acceleration measurements: A field study
by: Li, Jun, et al.
Published: (2015)

Development and experimental verification of an IoT sensing system for drive-by bridge health monitoring
by: Peng, Zhen, et al.
Published: (2023)

Vision-based structural vibration displacement measurement and modal identification
by: Tan, Dong
Published: (2024)

System Identification of Civil Structures under Operational Conditions Considering Uncertainties
by: Xin, Yu
Published: (2020)

Updating the reliability of a concrete bridge structure based on condition assessment with uncertainties
by: Law, S., et al.
Published: (2010)

Condition assessment of shear connectors in slab-girder bridges via vibration measurements
by: Xia, Y., et al.
Published: (2008)

Vision-based pavement marking detection and condition assessment-a case study
by: Xu, Shuyuan, et al.
Published: (2021)

Improved damage identification in bridge structures subject to moving loads: Numerical and experimental studies
by: Li, Jun, et al.
Published: (2013)

A study of RC bridge columns under contact explosion
by: Yuan, S., et al.
Published: (2017)

Development of a relative displacement sensor for structural health monitoring
by: Li, Jun, et al.
Published: (2013)

Erosion Characteristics of Teflon under Different Operating Conditions
by: Nuruzzaman, D. M., et al.
Published: (2015)

Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures
by: Shao, Yanda
Published: (2021)

Operational modal identification of structures based on improved empirical wavelet transform
by: Xin, Y., et al.
Published: (2019)

Experimental study on relative displacement responses of bridge frames subjected to spatially varying ground motion and its mitigation using superelastic SMA restrainers
by: Shrestha, B., et al.
Published: (2018)

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
by: Koch, Christian, et al.
Published: (2015)

Identification of dynamic displacements and modal frequencies of amedium-span suspension bridge using multimode GNSS processing
by: Yu, Jiayong, et al.
Published: (2014)

Prediction of local scour around wide bridge piers under clear-water conditions
by: Ahmad, Nordila, et al.
Published: (2017)

Railway bridge condition monitoring and fault diagnostics
by: Vagnoli, Matteo
Published: (2019)

Condition Rating System For Thailand’s Concrete Bridges
by: Suksuwan, Nukul, et al.
Published: (2010)

Development Of An Expert System For Assessment Of Reinforced Concrete Bridge Condition
by: Yardim, Yavuz
Published: (2002)

Wavelet-based damage identification of structures under unknown support excitations
by: Li, Jun, et al.
Published: (2014)

Dynamic Assessment of Shear Connectors in Composite Bridges with Ambient Vibration Measurements
by: Li, Jun, et al.
Published: (2014)

Experimental study on subsea pipeline bedding condition assessment using wavelet packet transform
by: Peng, X., et al.
Published: (2013)

Smart Vision System for Car Tire Condition Monitoring
by: Daud, Mohd Razali
Published: (2006)

Using multi-type sensor measurements for damage detection of shear connectors in composite bridges under moving loads
by: Fan, X., et al.
Published: (2017)

Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements
by: Zhang, W., et al.
Published: (2017)

Performance of different photovoltaic cells operating under the meteorological conditions of Singapore
by: Hawlader, Mohammad Nurul Alam, et al.
Published: (2011)

Performance of different photovoltaic cells operating under the meteorological conditions of Singapore
by: Hawlader, Mohammad Nurul Alam, et al.
Published: (2011)

Cannot write session to /tmp/vufind_sessions/sess_8682led5jrm1nbj6ce58p5mmlv