TY - GEN
T1 - Tsunami risk assessment of bridges based on an AHP-FUZZY algorithm
AU - Andrić, J.
AU - Lu, D. G.
PY - 2014
Y1 - 2014
N2 - Tsunamis have big effects on the modern infrastructure systems, especially bridges. Tohoku earthquake didn't cause great damage to bridges as a tsunami, which was followed by earthquake. Many bridges that were not damaged during earthquakes have been washed away due to force of tsunami waves. This event shows the importance of the tsunami risk assessment. In this paper, a new method for the tsunami risk assessment of bridges based on the AHP approach and comprehensive evaluation method which includes fuzzy mathematics theory is proposed. The AHP is a method which has been widely used for decision making problems by setting their priorities and combining quantitative and qualitative analysis. The fuzzy comprehensive evaluation is a multi-factor decision-making method to make comprehensive assessments concerning the various factors in associated with things under evaluation. The model in this research includes all the hazard sources that follow tsunami event and will cause damage to bridge. Based on this, the six factors of a tsunami risk: earthquake intensity, tsunami wave, bridge structure, floating debris, scour, and corrosion are analyzed using AHP. When, the weight coefficients are determined, next step is for a selected bridge to determine fuzzy relationship matrix. The aim of the method is to predict the level of bridge damage after tsunami hazard. There are five levels of bridge damage: no damage, minor damage, moderate damage major (extensive) damage and collapse. Result of application comprehensive evaluation method which uses fuzzy mathematics theory to forecast bridge damage has strong practicability.
AB - Tsunamis have big effects on the modern infrastructure systems, especially bridges. Tohoku earthquake didn't cause great damage to bridges as a tsunami, which was followed by earthquake. Many bridges that were not damaged during earthquakes have been washed away due to force of tsunami waves. This event shows the importance of the tsunami risk assessment. In this paper, a new method for the tsunami risk assessment of bridges based on the AHP approach and comprehensive evaluation method which includes fuzzy mathematics theory is proposed. The AHP is a method which has been widely used for decision making problems by setting their priorities and combining quantitative and qualitative analysis. The fuzzy comprehensive evaluation is a multi-factor decision-making method to make comprehensive assessments concerning the various factors in associated with things under evaluation. The model in this research includes all the hazard sources that follow tsunami event and will cause damage to bridge. Based on this, the six factors of a tsunami risk: earthquake intensity, tsunami wave, bridge structure, floating debris, scour, and corrosion are analyzed using AHP. When, the weight coefficients are determined, next step is for a selected bridge to determine fuzzy relationship matrix. The aim of the method is to predict the level of bridge damage after tsunami hazard. There are five levels of bridge damage: no damage, minor damage, moderate damage major (extensive) damage and collapse. Result of application comprehensive evaluation method which uses fuzzy mathematics theory to forecast bridge damage has strong practicability.
UR - http://www.scopus.com/inward/record.url?scp=84906695076&partnerID=8YFLogxK
U2 - 10.1201/b17063-106
DO - 10.1201/b17063-106
M3 - Conference Proceeding
AN - SCOPUS:84906695076
SN - 9781138001039
T3 - Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014
SP - 726
EP - 731
BT - Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014
PB - Taylor and Francis - Balkema
T2 - 7th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2014
Y2 - 7 July 2014 through 11 July 2014
ER -