TY - GEN
T1 - Bridge pier scour prediction by multi-objective optimization using the genetic algorithm
AU - Kim, I.
AU - Yekani Fard, Masoud
AU - Chattopadhyay, Aditi
PY - 2013
Y1 - 2013
N2 - Local scour is a critical problem for the safety of bridges. In this study, a new bridge-pier-scour model is proposed by multi-objective optimization using genetic algorithm based on the traditional regression model and the inductive method. A model evaluation function has been established (HEC-18 equation, Froehlich equation, and GEP model). Two groups of field datasets; bridge scour management data base (358 sets) and FHWA (110 sets), are used to evaluate the models. Based on the model evaluation function and statistical evaluation, the new model is shown more efficient and less failed in predicting the scour depth at bridge piers.
AB - Local scour is a critical problem for the safety of bridges. In this study, a new bridge-pier-scour model is proposed by multi-objective optimization using genetic algorithm based on the traditional regression model and the inductive method. A model evaluation function has been established (HEC-18 equation, Froehlich equation, and GEP model). Two groups of field datasets; bridge scour management data base (358 sets) and FHWA (110 sets), are used to evaluate the models. Based on the model evaluation function and statistical evaluation, the new model is shown more efficient and less failed in predicting the scour depth at bridge piers.
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M3 - Conference contribution
AN - SCOPUS:84945182350
T3 - Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
SP - 143
EP - 150
BT - Structural Health Monitoring 2013
A2 - Chang, Fu-Kuo
PB - DEStech Publications
T2 - 9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Y2 - 10 September 2013 through 12 September 2013
ER -