Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Modeling Corrosion in Suspension Bri...
~
Karanci, Efe.
Modeling Corrosion in Suspension Bridge Main Cables.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Modeling Corrosion in Suspension Bridge Main Cables./
Author:
Karanci, Efe.
Description:
1 online resource (195 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Subject:
Civil engineering. -
Online resource:
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.
LDR
:03763ntm a2200349K 4500
001
913978
005
20180628100932.5
006
m o u
007
cr mn||||a|a||
008
190606s2017 xx obm 000 0 eng d
020
$a
9780355189865
035
$a
(MiAaPQ)AAI10621946
035
$a
(MiAaPQ)columbia:14161
035
$a
AAI10621946
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
100
1
$a
Karanci, Efe.
$3
1187027
245
1 0
$a
Modeling Corrosion in Suspension Bridge Main Cables.
264
0
$c
2017
300
$a
1 online resource (195 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
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
690
$a
0543
690
$a
0537
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
Columbia University.
$b
Civil Engineering and Engineering Mechanics.
$3
1179673
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10621946
$z
click for full text (PQDT)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login