2008
DOI: 10.1016/j.ress.2006.12.011
|View full text |Cite
|
Sign up to set email alerts
|

Reinforced concrete bridge deck reliability model incorporating temporal and spatial variations of probabilistic corrosion rate sensor data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
43
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
6
2
1

Relationship

1
8

Authors

Journals

citations
Cited by 107 publications
(54 citation statements)
references
References 5 publications
1
43
0
Order By: Relevance
“…The bridge failure modes, considered in the following sections for computational purposes, are briefly described herein; further details can be found in [Akgül 2002, Marsh andFrangopol 2008]. For illustrative purposes, the reinforced concrete end span of the bridge, whose cross-section is shown in Figure 1(a), has been modeled as a series-parallel system so that the failure occurs when either the deck or two consecutive girders fail (Figure 1(b)).…”
Section: Maintenance Optimization Of a Deteriorating Bridge Superstrumentioning
confidence: 99%
“…The bridge failure modes, considered in the following sections for computational purposes, are briefly described herein; further details can be found in [Akgül 2002, Marsh andFrangopol 2008]. For illustrative purposes, the reinforced concrete end span of the bridge, whose cross-section is shown in Figure 1(a), has been modeled as a series-parallel system so that the failure occurs when either the deck or two consecutive girders fail (Figure 1(b)).…”
Section: Maintenance Optimization Of a Deteriorating Bridge Superstrumentioning
confidence: 99%
“…For random variable models see (Yang et al, 2006, Cheung et al, 2010, Marsh & Frangopol, 2008, Li, 2003. However, owing to the lack of failure data a random variable approach solely to represent deterioration process is unsatisfactory.…”
Section: Probabilistic Model Of Deteriorationmentioning
confidence: 99%
“…Recently, efforts have been made to estimate the long-term structural performance of deteriorated RC structures by using probabilistic concepts and methods (Marsh & Frangopol, 2008;Mori & Ellingwood, 1993). However, limited amounts of experimental data on the relationship between the spatial variability of steel weight loss and surface crack widths have been reported, creating difficulties in improving the degree of accuracy of the prediction models (Akiyama, Frangopol, & Yoshia, 2010).…”
Section: Introductionmentioning
confidence: 99%