Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32451
Title: Fatigue analysis and life prediction of bridges with structural health monitoring data - Part I: Methodology and strategy
Authors: Li, ZX
Chan, THT
Ko, JM
Issue Date: 2001
Publisher: Elsevier Science Ltd, Exeter, United Kingdom
Source: International journal of fatigue, 2001, v. 23, no. 1, p. 45-53 How to cite?
Journal: International Journal of Fatigue 
Abstract: This paper is aimed at developing a methodology and strategy for fatigue damage assessment and life prediction of bridge-deck sections of existing bridges with online structural health monitoring data. A fatigue damage model based on the continuum damage mechanics (CDM) is developed for evaluating accumulative fatigue damage of existing bridges. A structural model for the fatigue stress analysis of bridge-deck structures is proposed, in which structures are modeled by elastic members and welded connections with possible accumulative damage. Based on the proposed model, an analytical approach for evaluating the fatigue damage and service life of bridge-deck sections based on strain history data from an online structural health monitoring system and the CDM fatigue model are suggested. The updating of the representative block of cycles of the local stress by online monitoring data in the future is included in the computational approach. In order to compare results of fatigue damage and service life prediction evaluated by the CDM fatigue damage model, a modified Palmgren-Miner rule is developed for the same fatigue problem.
URI: http://hdl.handle.net/10397/32451
ISSN: 0142-1123
DOI: 10.1016/S0142-1123(00)00068-2
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

96
Last Week
1
Last month
1
Citations as of Aug 17, 2017

WEB OF SCIENCETM
Citations

57
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

39
Last Week
2
Last month
Checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.