Reliability analysis of fatigue under random loading considering modeling updating through inspection in the MARTA bridge system

Persistent Link:
http://hdl.handle.net/10150/278070
Title:
Reliability analysis of fatigue under random loading considering modeling updating through inspection in the MARTA bridge system
Author:
Zhao, Zhengwei, 1962-
Issue Date:
1991
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Plan for the fatigue damage evaluation of the full-penetration butt welds bridges requires the development of reliability-based analysis, inspection and maintenance procedure. To account for the uncertainties in the material properties and environmental conditions, a stochastic fatigue crack growth model is proposed here. Recent calculations using the Monte-Carlo Simulation technique shows that the first-order reliability method gives very accurate result. The sensitivity and capability of ultrasonic inspection are investigated in this study. The reliability of inspections for various events is formulated. Efficient algorithms for updating the reliability model through inspection are proposed. A case study is conducted for MARTRA's steel bridges system. Analysis of results includes fatigue reliability index, inspection, repair, updating of random variables and inspection plan. Results indicate the proposed model gives an accurate and practical approach to the fatigue control in the steel structures.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Applied Mechanics.; Engineering, Civil.; Engineering, Materials Science.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Haldar, A.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleReliability analysis of fatigue under random loading considering modeling updating through inspection in the MARTA bridge systemen_US
dc.creatorZhao, Zhengwei, 1962-en_US
dc.contributor.authorZhao, Zhengwei, 1962-en_US
dc.date.issued1991en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractPlan for the fatigue damage evaluation of the full-penetration butt welds bridges requires the development of reliability-based analysis, inspection and maintenance procedure. To account for the uncertainties in the material properties and environmental conditions, a stochastic fatigue crack growth model is proposed here. Recent calculations using the Monte-Carlo Simulation technique shows that the first-order reliability method gives very accurate result. The sensitivity and capability of ultrasonic inspection are investigated in this study. The reliability of inspections for various events is formulated. Efficient algorithms for updating the reliability model through inspection are proposed. A case study is conducted for MARTRA's steel bridges system. Analysis of results includes fatigue reliability index, inspection, repair, updating of random variables and inspection plan. Results indicate the proposed model gives an accurate and practical approach to the fatigue control in the steel structures.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectApplied Mechanics.en_US
dc.subjectEngineering, Civil.en_US
dc.subjectEngineering, Materials Science.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHaldar, A.en_US
dc.identifier.proquest1346751en_US
dc.identifier.bibrecord.b27280834en_US
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