Intelligent structural health monitoring and damage detection for light-rail bridges

Rao, V. S.; Sivico, J. V.

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Intelligent structural health monitoring and damage detection for light-rail bridges

1998-05-01
By Rao, V. S. ; Sivico, J. V.

[PDF-3.47 MB]

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Creators:

Rao, V. S. ; Sivico, J. V.

Rao, V. S. ; Sivico, J. V. Less -
Corporate Contributors:

Mid America Transportation Center ; University of Missouri--Rolla. Intelligent Systems Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; Catholic University of America. Department of Civil Engineering

Mid America Transportation Center ; University of Missouri--Rolla. Intelligent Systems Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; Catholic University of America. Department of Civil Engineering Less -
Subject/TRT Terms:

[+]

Algorithms Bridge Inspection Bridges Damage Assessment Damping Feasibility Intelligent Transportation Systems Light Rail Transit Mathematical Models Neural Nets Smart Materials Stiffness Structural Analysis Structural Health Monitoring
Publication/ Report Number:

MATC-UMR96-2
Resource Type:

Tech Report
Abstract:

A global damage detection algorithm for bridge-like Structures is proposed. This method provides the capability of determining the reduction in both stiffness and damping parameters of the structural elements. It is assumed the mass of the structural elements is not affected by the damages. The proposed method uses the state-space representation of the structural dynamics to determine the existence of a damage, geometric location of the damage, and the severity of the damage.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:0caf8bb0b829b2537b39740407e4118145a10db975b4b84e8c4a0c1a565c964b
Download URL:

https://rosap.ntl.bts.gov/view/dot/15603/dot_15603_DS1.pdf
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Intelligent structural health monitoring and damage detection for light-rail bridges

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