2008
DOI: 10.1016/j.jcsr.2007.03.002
|View full text |Cite
|
Sign up to set email alerts
|

Fatigue life estimates for a slender orthotropic steel deck

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
21
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 63 publications
(21 citation statements)
references
References 6 publications
0
21
0
Order By: Relevance
“…Given that fatigue damage accumulation in decks and main superstructure elements is a common concern to bridge owners and management agencies, there is a high demand for effective fatigue life prediction of fatigue-prone elements of orthotropic steel bridges to ensure bridge health and timely decision making for maintenance and rehabilitation planning. In recent decades, design specifications (AASHTO 2010, Eurocode 3 2005, Canadian code (Canadian Institute of Steel Construction 2007) and approaches to the prediction of remaining fatigue life of OSD bridges have been developed and applied actively in the context of reliable SHM systems (Battista et al 2008;Guo & Chen 2011;Guo & Chen 2013;Guo et al 2012;Guo et al 2015;Kim et al 2001; Anon n.d.; Liu et al 2010;Ni et al 2010;Okasha et al 2012;Saberi et al 2016;Orcesi & Frangopol 2013;Lu et al 2016;Cross et al 2013). Kolstein et al (2007), in particular, present a review of typical fatigue details in orthotropic steel bridge decks and their corresponding testing programmes in European and Asian countries.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Given that fatigue damage accumulation in decks and main superstructure elements is a common concern to bridge owners and management agencies, there is a high demand for effective fatigue life prediction of fatigue-prone elements of orthotropic steel bridges to ensure bridge health and timely decision making for maintenance and rehabilitation planning. In recent decades, design specifications (AASHTO 2010, Eurocode 3 2005, Canadian code (Canadian Institute of Steel Construction 2007) and approaches to the prediction of remaining fatigue life of OSD bridges have been developed and applied actively in the context of reliable SHM systems (Battista et al 2008;Guo & Chen 2011;Guo & Chen 2013;Guo et al 2012;Guo et al 2015;Kim et al 2001; Anon n.d.; Liu et al 2010;Ni et al 2010;Okasha et al 2012;Saberi et al 2016;Orcesi & Frangopol 2013;Lu et al 2016;Cross et al 2013). Kolstein et al (2007), in particular, present a review of typical fatigue details in orthotropic steel bridge decks and their corresponding testing programmes in European and Asian countries.…”
Section: Introductionmentioning
confidence: 99%
“…In the study conducted by Battista et al (2008), the volume of traffic was considered according to collected toll data and taken as constant for 2002 and forward from then. Average weights were assumed for all vehicles within each category and the load distributions between front and rear axles obtained from vehicle weighing data.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies using experiments [2][3][4][5] and analysis [6][7][8][9][10] were carried out to investigate the fatigue of orthotropic steel decks subjected to heavy vehicle loads, while a limited number of studies [11,12] for light-weight vehicle loads were performed. The fatigue of orthotropic steel decks carrying only light-weight vehicles has not been studied.…”
Section: Introductionmentioning
confidence: 99%
“…[1] One of the probable damages which bridges may experience, due to increasing traffic volume as well as environmental degradations such as corrosion, is fatigue phenomenon. Specifically fatigue cracks have been reported in several types of welded joints of orthotropic deck steel bridges [2]. However, orthotropic decks are widely used in construction of bridges.…”
Section: Introductionmentioning
confidence: 99%
“…Today fatigue evaluation can be accomplished accurately by field measurements through SHM which is the integration of a sensory system, a data acquisition system, a data processing system and an archiving system to acquire real information regarding the in-service performance of structures [2].…”
Section: Introductionmentioning
confidence: 99%