國立虎尾科技大學 |

Vibration-Based Cable Tension Estimation in Cable-Stayed Bridges.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Vibration-Based Cable Tension Estimation in Cable-Stayed Bridges./
作者:	Haji Agha Mohammad Zarbaf, Seyed Ehsan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	116 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-04(E), Section: B.
Contained By:	Dissertation Abstracts International80-04B(E).
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=11005566
ISBN:	9780438592155

Vibration-Based Cable Tension Estimation in Cable-Stayed Bridges.
Haji Agha Mohammad Zarbaf, Seyed Ehsan.

Vibration-Based Cable Tension Estimation in Cable-Stayed Bridges. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 116 p.

Source: Dissertation Abstracts International, Volume: 80-04(E), Section: B.

Thesis (Ph.D.)--University of Cincinnati, 2018.

Cable-stayed bridges have received significant attention in recent years due to ease of construction, reduced bending moments applied on the deck, being stiffer in comparison with other types of long span bridges, and their aesthetic value. In a cable-stayed bridge, the dead load (weight of the bridge) and the live load (the traffic load) are directly transferred to the towers through stay cables. Wind/rain induced vibrations, fatigue, and galvanic corrosion can cause cable deterioration. Deterioration of stay cables can cause the reduction of cable load capacity; thus, continuous health monitoring of stay cables is strongly suggested. There are different condition assessment methods proposed to monitor the stay cables in cable structures such as traditional visual inspection methods, dissection of stay cables, ultrasonic testing, thermography, impulse radar, and radiography. Consistency of cable tension over time is also considered as a health indicator for both cables and super structure of cable structures. Cable tension can be measured directly (using load sensors) or it can be estimated by measuring different parameters of the cable such as stress, strain, or natural frequencies. The methods that use cable natural frequencies to estimate the cable tension are called vibration-based tension estimation methods.

ISBN: 9780438592155Subjects--Topical Terms:

557493
Mechanical engineering.

Vibration-Based Cable Tension Estimation in Cable-Stayed Bridges.
LDR:03739nam a2200325 4500 001 931716
005 20190716101637.5
008 190815s2018 ||||||||||||||||| ||eng d
020 $a 9780438592155
035 $a (MiAaPQ)AAI11005566
035 $a (MiAaPQ)OhioLINK:ucin1535636861655531
035 $a AAI11005566
040 $a MiAaPQ $c MiAaPQ
100 1 $a Haji Agha Mohammad Zarbaf, Seyed Ehsan. $3 1213928
245 1 0 $a Vibration-Based Cable Tension Estimation in Cable-Stayed Bridges.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 116 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-04(E), Section: B.
500 $a Adviser: Randall J. Allemang.
502 $a Thesis (Ph.D.)--University of Cincinnati, 2018.
520 $a Cable-stayed bridges have received significant attention in recent years due to ease of construction, reduced bending moments applied on the deck, being stiffer in comparison with other types of long span bridges, and their aesthetic value. In a cable-stayed bridge, the dead load (weight of the bridge) and the live load (the traffic load) are directly transferred to the towers through stay cables. Wind/rain induced vibrations, fatigue, and galvanic corrosion can cause cable deterioration. Deterioration of stay cables can cause the reduction of cable load capacity; thus, continuous health monitoring of stay cables is strongly suggested. There are different condition assessment methods proposed to monitor the stay cables in cable structures such as traditional visual inspection methods, dissection of stay cables, ultrasonic testing, thermography, impulse radar, and radiography. Consistency of cable tension over time is also considered as a health indicator for both cables and super structure of cable structures. Cable tension can be measured directly (using load sensors) or it can be estimated by measuring different parameters of the cable such as stress, strain, or natural frequencies. The methods that use cable natural frequencies to estimate the cable tension are called vibration-based tension estimation methods.
520 $a The main objective of this dissertation is to propose a general framework for vibrationbased cable tension estimation so that it can be used along with various cable models and system identification methods to estimate the cable tension in cable structures. System identification methods will be used to identify the natural frequencies of the stay cables and cable models will be employed to create an error function representative of the difference between experimentally measured cable natural frequencies and analytical cable natural frequencies. Employing different cable models, the proposed framework will be evaluated using the experimental data measured from the Veterans' Glass City Skyway (VGCS) Bridge and the new Ironton-Russell Bridge. A numerical analysis will also be performed to understand the effects of error in measuring cable properties (used in tension estimation process) on the estimated tensions.
520 $a In addition to the introduction/evaluation of general framework for vibration-based cable tension estimation method, the application of Artificial Neural Networks (ANNs) for vibrationbased cable tension estimation in cable structures will also be investigated. It will be shown that for new Ironton-Russell Bridge, cable length, cable mass per unit length, cable axial stiffness and cable natural frequencies can be used as input features of ANNs to accurately estimate the cable tensions.
590 $a School code: 0045.
650 4 $a Mechanical engineering. $3 557493
650 4 $a Civil engineering. $3 561339
690 $a 0548
690 $a 0543
710 2 $a University of Cincinnati. $b Mechanical Engineering. $3 845670
773 0 $t Dissertation Abstracts International $g 80-04B(E).
790 $a 0045
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=11005566