A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Leveraging Structural Health Monitoring for Bridge Condition Assessment
Highway bridge infrastructure is a key aspect of the U.S. transportation system. Efficient maintenance is important for preserving the integrity and improving the condition of aging national bridge infrastructure. Highway bridge condition typically is assessed using visual inspections and accompanying nondestructive field tests. This paper presents a solution that leverages low-cost structural health monitoring (SHM) sensor data and the cumulative knowledge of bridge inspectors to monitor bridge conditions. The developed solution utilizes a central database to store infrastructure inventory, inspection, and SHM information. The paper presents the Bridge Inspection Toolkit (BIT)—an innovative software solution that provides condition assessment decision-making support to bridge inspection documentation. Condition assessment support is provided by integrating the BIT with functionality that allows inspectors access to intelligent interpretation of SHM data. The BIT also allows inspectors access to condition assessment data corresponding to equivalent components, recorded by other responders, thus allowing them to draw on the collective experience and judgment of peers. The implementation of the inspection solution developed in this research introduces a greater degree of objectivity into condition ratings assessed by bridge inspectors. Condition assessment data gathered using the presented methods helps in effectively rating bridge infrastructure capacity and efficiently allocating maintenance resources.
Leveraging Structural Health Monitoring for Bridge Condition Assessment
Highway bridge infrastructure is a key aspect of the U.S. transportation system. Efficient maintenance is important for preserving the integrity and improving the condition of aging national bridge infrastructure. Highway bridge condition typically is assessed using visual inspections and accompanying nondestructive field tests. This paper presents a solution that leverages low-cost structural health monitoring (SHM) sensor data and the cumulative knowledge of bridge inspectors to monitor bridge conditions. The developed solution utilizes a central database to store infrastructure inventory, inspection, and SHM information. The paper presents the Bridge Inspection Toolkit (BIT)—an innovative software solution that provides condition assessment decision-making support to bridge inspection documentation. Condition assessment support is provided by integrating the BIT with functionality that allows inspectors access to intelligent interpretation of SHM data. The BIT also allows inspectors access to condition assessment data corresponding to equivalent components, recorded by other responders, thus allowing them to draw on the collective experience and judgment of peers. The implementation of the inspection solution developed in this research introduces a greater degree of objectivity into condition ratings assessed by bridge inspectors. Condition assessment data gathered using the presented methods helps in effectively rating bridge infrastructure capacity and efficiently allocating maintenance resources.
Leveraging Structural Health Monitoring for Bridge Condition Assessment
Akula, Manu (author) / Zhang, Yilan (author) / Kamat, Vineet R. (author) / Lynch, Jerome P. (author)
Construction Research Congress 2014 ; 2014 ; Atlanta, Georgia
Construction Research Congress 2014 ; 1159-1168
2014-05-13
Conference paper
Electronic Resource
English
| British Library Conference Proceedings | 2003
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