TY - GEN
T1 - Using finite element method and support vector machine to evaluate scour bridge condition
AU - Feng, Chung Wei
AU - Huang, Hsun Yi
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Scouring around bridge piers is one of the major reasons for bridge failures and makes disaster since it tends to occur suddenly and without prior warning. However, the mechanism of water flow around the pier structure is complicated, which makes it is very difficult to develop a generic model to evaluate the scour bridge condition and provide a safety level. In this study, an integrated model that combines support vector machine (SVM) and finite element simulation technology is introduced to estimate the scour depth and determinate the safety level of scour bridge by using the natural frequency of the bridge structure. The proposed model in this study provides effective way to have a prior understanding of scour bridge condition and avoid the disaster of bridge failure.
AB - Scouring around bridge piers is one of the major reasons for bridge failures and makes disaster since it tends to occur suddenly and without prior warning. However, the mechanism of water flow around the pier structure is complicated, which makes it is very difficult to develop a generic model to evaluate the scour bridge condition and provide a safety level. In this study, an integrated model that combines support vector machine (SVM) and finite element simulation technology is introduced to estimate the scour depth and determinate the safety level of scour bridge by using the natural frequency of the bridge structure. The proposed model in this study provides effective way to have a prior understanding of scour bridge condition and avoid the disaster of bridge failure.
UR - http://www.scopus.com/inward/record.url?scp=84880145040&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880145040&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.330.900
DO - 10.4028/www.scientific.net/AMM.330.900
M3 - Conference contribution
AN - SCOPUS:84880145040
SN - 9783037857250
T3 - Applied Mechanics and Materials
SP - 900
EP - 904
BT - Materials Engineering and Automatic Control II
T2 - 2nd International Conference on Materials Engineering and Automatic Control, ICMEAC 2013
Y2 - 18 May 2013 through 19 May 2013
ER -