PMID- 27386269
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20160707
LR  - 20201001
IS  - 2193-1801 (Print)
IS  - 2193-1801 (Electronic)
IS  - 2193-1801 (Linking)
VI  - 5
IP  - 1
DP  - 2016
TI  - A probabilistic bridge safety evaluation against floods.
PG  - 783
LID - 10.1186/s40064-016-2366-3 [doi]
LID - 783
AB  - To further capture the influences of uncertain factors on river bridge safety 
      evaluation, a probabilistic approach is adopted. Because this is a systematic and 
      nonlinear problem, MPP-based reliability analyses are not suitable. A sampling 
      approach such as a Monte Carlo simulation (MCS) or importance sampling is often 
      adopted. To enhance the efficiency of the sampling approach, this study utilizes 
      Bayesian least squares support vector machines to construct a response surface 
      followed by an MCS, providing a more precise safety index. Although there are 
      several factors impacting the flood-resistant reliability of a bridge, previous 
      experiences and studies show that the reliability of the bridge itself plays a 
      key role. Thus, the goal of this study is to analyze the system reliability of a 
      selected bridge that includes five limit states. The random variables considered 
      here include the water surface elevation, water velocity, local scour depth, soil 
      property and wind load. Because the first three variables are deeply affected by 
      river hydraulics, a probabilistic HEC-RAS-based simulation is performed to 
      capture the uncertainties in those random variables. The accuracy and variation 
      of our solutions are confirmed by a direct MCS to ensure the applicability of the 
      proposed approach. The results of a numerical example indicate that the proposed 
      approach can efficiently provide an accurate bridge safety evaluation and 
      maintain satisfactory variation.
FAU - Liao, Kuo-Wei
AU  - Liao KW
AD  - Department of Civil and Construction Engineering, National Taiwan University of 
      Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106 Taiwan.
FAU - Muto, Yasunori
AU  - Muto Y
AD  - Department of Civil and Environmental Engineering, Tokushima University, 
      Tokushima, Japan.
FAU - Chen, Wei-Lun
AU  - Chen WL
AD  - Department of Civil and Construction Engineering, National Taiwan University of 
      Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106 Taiwan.
FAU - Wu, Bang-Ho
AU  - Wu BH
AD  - Department of Civil and Construction Engineering, National Taiwan University of 
      Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106 Taiwan.
LA  - eng
PT  - Journal Article
DEP - 20160618
PL  - Switzerland
TA  - Springerplus
JT  - SpringerPlus
JID - 101597967
PMC - PMC4912552
OTO - NOTNLM
OT  - Bayesian LS-SVM
OT  - Bridge safety
OT  - Flood-resistant reliability
OT  - MCS
EDAT- 2016/07/08 06:00
MHDA- 2016/07/08 06:01
PMCR- 2016/06/18
CRDT- 2016/07/08 06:00
PHST- 2015/10/27 00:00 [received]
PHST- 2016/05/18 00:00 [accepted]
PHST- 2016/07/08 06:00 [entrez]
PHST- 2016/07/08 06:00 [pubmed]
PHST- 2016/07/08 06:01 [medline]
PHST- 2016/06/18 00:00 [pmc-release]
AID - 2366 [pii]
AID - 10.1186/s40064-016-2366-3 [doi]
PST - epublish
SO  - Springerplus. 2016 Jun 18;5(1):783. doi: 10.1186/s40064-016-2366-3. eCollection 
      2016.