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Digital image correlation as an insp...
~
Goudreau, Adam Joseph.
Digital image correlation as an inspection tool for assessing bridge health.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Digital image correlation as an inspection tool for assessing bridge health.
Author:
Goudreau, Adam Joseph.
Description:
146 p.
Notes:
Source: Masters Abstracts International, Volume: 52-02.
Notes:
Adviser: Erin Bell.
Contained By:
Masters Abstracts International52-02(E).
Subject:
Engineering, Civil.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1523790
ISBN:
9781303411700
Digital image correlation as an inspection tool for assessing bridge health.
Goudreau, Adam Joseph.
Digital image correlation as an inspection tool for assessing bridge health.
- 146 p.
Source: Masters Abstracts International, Volume: 52-02.
Thesis (M.S.)--University of New Hampshire, 2013.
According to the American Society of Civil Engineers more than one in nine bridges is considered to be structurally deficient (ASCE, 2013). This ranking is based on load ratings from visual inspections which aim to assess the condition of a bridge but are inherently subjective. It is vital to determine the true structural health of bridges in order to ensure efficient allocation of limited resources for critical infrastructure elements. The purpose of this research is to develop digital image correlation into a tool that bridge inspectors can rapidly deploy as part of In-Depth Bridge Inspection for an objective assessment of bridge condition.
ISBN: 9781303411700Subjects--Topical Terms:
212394
Engineering, Civil.
Digital image correlation as an inspection tool for assessing bridge health.
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Digital image correlation as an inspection tool for assessing bridge health.
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146 p.
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Source: Masters Abstracts International, Volume: 52-02.
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Adviser: Erin Bell.
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Thesis (M.S.)--University of New Hampshire, 2013.
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According to the American Society of Civil Engineers more than one in nine bridges is considered to be structurally deficient (ASCE, 2013). This ranking is based on load ratings from visual inspections which aim to assess the condition of a bridge but are inherently subjective. It is vital to determine the true structural health of bridges in order to ensure efficient allocation of limited resources for critical infrastructure elements. The purpose of this research is to develop digital image correlation into a tool that bridge inspectors can rapidly deploy as part of In-Depth Bridge Inspection for an objective assessment of bridge condition.
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Digital image correlation (DIC) can be used to measure deflections of bridge girders. In June 2012, digital cameras were used during a pseudo-static load test of the Bagdad Road Bridge in Durham, NH, to capture bridge response. The deflections from this load test were used to calibrate a structural model to determine the impact of boundary conditions on the continuous action of the bridge. This research also assesses the accuracy and limitations of DIC and the value of using deflections to determine load distribution factors to more accurately load rate a bridge and calibrate an analytical model that is more representative of the bridge's behavior. In addition, a profile of girder deflections creates a metric for assessing bridge health in the future.
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School code: 0141.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1523790
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