國立虎尾科技大學 |

Modeling Corrosion in Suspension Bridge Main Cables.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Modeling Corrosion in Suspension Bridge Main Cables./
作者:	Karanci, Efe.
面頁冊數:	1 online resource (195 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
標題:	Civil engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355189865

Modeling Corrosion in Suspension Bridge Main Cables.
Karanci, Efe.

Modeling Corrosion in Suspension Bridge Main Cables. - 1 online resource (195 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)--Columbia University, 2017.

Includes bibliographical references

Accurately determining the current state of a suspension bridge's main cables is a critical component to reliably assessing the safety of the bridge. The primary cause for the deterioration of cable strength with time is universally recognized to be the corrosion of high strength steel wires, which together comprise the main cable. Hidden from view by the cable wrapping, this corrosion often goes undetected for years and is typically only discovered during costly and intrusive inspections. Furthermore, current inspection methods provide an incomplete picture of the variation in wire condition across the cable cross section. As a result, cable strength estimation techniques that rely solely on inspection data introduce a considerable degree of uncertainty. Finally, a method has not been developed for estimating the continuing decline in cable strength due to ongoing corrosion. A recent direction in research attempts to address the shortcomings of current inspection methodologies and the intent of this thesis is to further build upon these findings.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355189865Subjects--Topical Terms:

561339
Civil engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Modeling Corrosion in Suspension Bridge Main Cables.
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500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Adviser: Raimondo Betti.
502 $a Thesis (Ph.D.)--Columbia University, 2017.
504 $a Includes bibliographical references
520 $a Accurately determining the current state of a suspension bridge's main cables is a critical component to reliably assessing the safety of the bridge. The primary cause for the deterioration of cable strength with time is universally recognized to be the corrosion of high strength steel wires, which together comprise the main cable. Hidden from view by the cable wrapping, this corrosion often goes undetected for years and is typically only discovered during costly and intrusive inspections. Furthermore, current inspection methods provide an incomplete picture of the variation in wire condition across the cable cross section. As a result, cable strength estimation techniques that rely solely on inspection data introduce a considerable degree of uncertainty. Finally, a method has not been developed for estimating the continuing decline in cable strength due to ongoing corrosion. A recent direction in research attempts to address the shortcomings of current inspection methodologies and the intent of this thesis is to further build upon these findings.
520 $a In these recent studies, environmental conditions inside main cables are monitored to obtain information regarding the corrosive nature of the cable's internal environment. The first goal of this thesis is to further this research direction by introducing a corrosion rate model for bridge wires that relates the monitored environmental parameters within a cable to the corrosion rate of bridge wires. Initially, temperature, relative humidity, pH, and Cl- concentration have been identified as the most relevant variables for predicting the corrosion rate of a bridge wire. By applying machine learning methods to a corrosion dataset in conjunction with these monitored environmental inputs, a long term corrosion rate model for bridge wires has been developed that is capable of capturing variability associated with these environmental parameters.
520 $a This long term corrosion rate model is then applied to establish a methodology that will allow bridge owners and engineers to estimate the remaining strength of a main cable at any point in time. This is accomplished through the use of continually monitored environmental parameters which are input into the corrosion rate model. Incorporating the long term corrosion rate model developed in this thesis with current strength estimation techniques, the methodology presented in this thesis for the estimation of the remaining strength of suspension bridge cables may be readily adapted to other bridges and can be used to complement the current best practices for bridge inspection.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Civil engineering. $3 561339
650 4 $a Engineering. $3 561152
655 7 $a Electronic books. $2 local $3 554714
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710 2 $a Columbia University. $b Civil Engineering and Engineering Mechanics. $3 1179673
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