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Understanding bridge performance thr...
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Liu, Jian.
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Understanding bridge performance through integrated modeling and monitoring.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Understanding bridge performance through integrated modeling and monitoring./
Author:
Liu, Jian.
Description:
199 p.
Notes:
Adviser: Michael J. Chajes.
Contained By:
Dissertation Abstracts International67-12B.
Subject:
Engineering, Civil. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3247567
Understanding bridge performance through integrated modeling and monitoring.
Liu, Jian.
Understanding bridge performance through integrated modeling and monitoring.
- 199 p.
Adviser: Michael J. Chajes.
Thesis (Ph.D.)--University of Delaware, 2007.
The massive transportation network that is made up of bridges, highways, railways, waterways, and airways is vital to national and global economies. The condition of the transportation infrastructure is therefore a critical concern for governments throughout the world. Within the transportation infrastructure, bridges are key components as they allow roadways and railways to cross over other roadways, railways, waterways, and valleys. Understanding their performance is vital to maintaining a healthy bridge inventory. Many of the US bridges were built after World War II, and are now approaching the end of their design life. These bridges are deteriorating due to environmental degradation, increasing volume and weight of truck traffic, and lack of effective repair and maintenance actions. Statistics from the Federal Highway Administration indicate that the US had about 590,000 bridges over 20 feet in length in 2005, and of those 590,000 bridges, approximately 12% were structurally deficient, and another 13% were functionally obsolete.Subjects--Topical Terms:
783781
Engineering, Civil.
Understanding bridge performance through integrated modeling and monitoring.
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Source: Dissertation Abstracts International, Volume: 67-12, Section: B, page: 7241.
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Thesis (Ph.D.)--University of Delaware, 2007.
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The massive transportation network that is made up of bridges, highways, railways, waterways, and airways is vital to national and global economies. The condition of the transportation infrastructure is therefore a critical concern for governments throughout the world. Within the transportation infrastructure, bridges are key components as they allow roadways and railways to cross over other roadways, railways, waterways, and valleys. Understanding their performance is vital to maintaining a healthy bridge inventory. Many of the US bridges were built after World War II, and are now approaching the end of their design life. These bridges are deteriorating due to environmental degradation, increasing volume and weight of truck traffic, and lack of effective repair and maintenance actions. Statistics from the Federal Highway Administration indicate that the US had about 590,000 bridges over 20 feet in length in 2005, and of those 590,000 bridges, approximately 12% were structurally deficient, and another 13% were functionally obsolete.
520
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As a result of the need to maintain a safe network of bridges, many researchers have begun to develop techniques for evaluating the "health" of existing bridges. Evaluating a bridges "health" can be achieved through structural health monitoring using non-destructive testing (NDT) techniques, and combined with structural identification methods. Within this area of structural health monitoring, gathering the needed data is becoming easier with the advent of new, effective, and economical sensors and data acquisition systems. The remaining challenge is how to evaluate and utilize the data to determine structural health. The primary objective of the research is to use integrated modeling and monitoring methods to understand actual bridge performance based on response data that has been collected for three bridges.
520
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The first structure to be investigated, the Chesapeake City Bridge, is a 539 foot, tied arch that spans the C&D canal in Maryland. The objectives of the first case study presented were to (1) develop a numerical model, (2) characterize the physical condition of a tied arch bridge, and (3) determine the cause(s) of damage (fatigue cracking in this case) using multiple static diagnostic tests in conjunction with the developed model.
520
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The second structure to be investigated, the Churchman Bridge that crosses I-95 in Delaware, involves a case of lateral instability. The objectives of this second case study were to evaluate (1) the stiffness requirement for the torsional bracing of steel girders with normal and skewed supports for single and multi-span bridges, (2) the effects on stability of various bracing configurations and concrete deck placement scenarios, and (3) a method for monitoring stability using a permanent data-logging system.
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The third structure to be investigated is Bridge 1-821, a typical highway overpass on I-495 in Delaware. This bridge is slated to become Delaware's first "smart" bridge. Details of this study that will be presented include (1) selection of the bridge, (2) calibration of a baseline numerical model using data from both static and dynamic field tests, and (3) determination of optimal sensor placement using the calibrated numerical model.
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School code: 0060.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3247567
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