Abstract
In this paper, the time-dependent reliability of PC girders in a marine environment is estimated considering the spatial variability of steel weight loss. Non-linear finite element (FE) analysis of aging PC girders is performed. Spatial variation of steel weight loss represented by uniform, Gaussian and non-Gaussian stochastic fields is included in the FE modelling. To obtain the relationship between input parameters and computational results from FE analysis, the response surface method is used for reducing the time required to repeat the structural analysis. The life-cycle reliability outcomes associated with three different models for the steel weight loss distribution are compared and discussed in an illustrative example. The authors would like to acknowledge Mr. Vasileios Christou for his help during the development of the random simulation algorithm.
| Original language | English |
|---|---|
| Title of host publication | Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 |
| Editors | Dan M. Frangopol, Riadh Al-Mahaidi, Colin Caprani, Nigel Powers |
| Publisher | [publishername] CRC Press/Balkema |
| Pages | 1001-1006 |
| Number of pages | 6 |
| ISBN (Print) | 9781138730458 |
| Publication status | Published - 2018 Jan 1 |
| Event | 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 - Melbourne, Australia Duration: 2018 Jul 9 → 2018 Jul 13 |
Publication series
| Name | Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 |
|---|
Conference
| Conference | 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018 |
|---|---|
| Country | Australia |
| City | Melbourne |
| Period | 18/7/9 → 18/7/13 |
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ASJC Scopus subject areas
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality
Cite this
Effect of different steel weight loss distributions on the life-cycle reliability of PC girders. / Nishiya, N.; Fukushima, H.; Sakurai, A.; Akiyama, Mitsuyoshi; Bocchini, P.; Frangopol, D. M.
Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018. ed. / Dan M. Frangopol; Riadh Al-Mahaidi; Colin Caprani; Nigel Powers. [publishername] CRC Press/Balkema, 2018. p. 1001-1006 (Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Effect of different steel weight loss distributions on the life-cycle reliability of PC girders
AU - Nishiya, N.
AU - Fukushima, H.
AU - Sakurai, A.
AU - Akiyama, Mitsuyoshi
AU - Bocchini, P.
AU - Frangopol, D. M.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this paper, the time-dependent reliability of PC girders in a marine environment is estimated considering the spatial variability of steel weight loss. Non-linear finite element (FE) analysis of aging PC girders is performed. Spatial variation of steel weight loss represented by uniform, Gaussian and non-Gaussian stochastic fields is included in the FE modelling. To obtain the relationship between input parameters and computational results from FE analysis, the response surface method is used for reducing the time required to repeat the structural analysis. The life-cycle reliability outcomes associated with three different models for the steel weight loss distribution are compared and discussed in an illustrative example. The authors would like to acknowledge Mr. Vasileios Christou for his help during the development of the random simulation algorithm.
AB - In this paper, the time-dependent reliability of PC girders in a marine environment is estimated considering the spatial variability of steel weight loss. Non-linear finite element (FE) analysis of aging PC girders is performed. Spatial variation of steel weight loss represented by uniform, Gaussian and non-Gaussian stochastic fields is included in the FE modelling. To obtain the relationship between input parameters and computational results from FE analysis, the response surface method is used for reducing the time required to repeat the structural analysis. The life-cycle reliability outcomes associated with three different models for the steel weight loss distribution are compared and discussed in an illustrative example. The authors would like to acknowledge Mr. Vasileios Christou for his help during the development of the random simulation algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85067081219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067081219&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781138730458
T3 - Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018
SP - 1001
EP - 1006
BT - Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges - Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018
A2 - Frangopol, Dan M.
A2 - Al-Mahaidi, Riadh
A2 - Caprani, Colin
A2 - Powers, Nigel
PB - [publishername] CRC Press/Balkema
ER -