TY - JOUR
T1 - Fuzzy methods for prediction of seismic resilience of bridges
AU - Andrić, Jelena M.
AU - Lu, Da Gang
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/6
Y1 - 2017/6
N2 - Communities are exposed to natural catastrophes, such as tsunamis, earthquakes, hurricanes, etc. Therefore, building and making resilient communities could lead to the reduction of the disastrous negative impacts and enable fast recovery. In this paper, novel seismic recovery functions and a metric for seismic resilience assessment have been proposed employing the concepts from fuzzy sets theory. The basic resilience parameters have been defined by fuzzy knowledge representation theory, the recovery process of bridges has been modeled in terms of fuzzy functions and the concepts from fuzzy measure theory have been used to determine resilience metrics. In addition, the presented model is integrated into a decision-making process for disaster preparedness of communities. Moreover, the model has been simulated in Java. A bridge in Santa Barbara has been investigated for this case study. The proposed method has revealed that fuzzy set theory has been a more efficient tool for estimating the relationship between bridge damage and functionality since the collected data has been established based on expert's judgments. The conclusion has been drawn that improving the disaster preparedness of communities would enhance the resilience of the bridge. The proposed model could be adapted for seismic resilience assessment of other infrastructure components such as tunnels, highway segments and in the case of bridges under multiple hazards.
AB - Communities are exposed to natural catastrophes, such as tsunamis, earthquakes, hurricanes, etc. Therefore, building and making resilient communities could lead to the reduction of the disastrous negative impacts and enable fast recovery. In this paper, novel seismic recovery functions and a metric for seismic resilience assessment have been proposed employing the concepts from fuzzy sets theory. The basic resilience parameters have been defined by fuzzy knowledge representation theory, the recovery process of bridges has been modeled in terms of fuzzy functions and the concepts from fuzzy measure theory have been used to determine resilience metrics. In addition, the presented model is integrated into a decision-making process for disaster preparedness of communities. Moreover, the model has been simulated in Java. A bridge in Santa Barbara has been investigated for this case study. The proposed method has revealed that fuzzy set theory has been a more efficient tool for estimating the relationship between bridge damage and functionality since the collected data has been established based on expert's judgments. The conclusion has been drawn that improving the disaster preparedness of communities would enhance the resilience of the bridge. The proposed model could be adapted for seismic resilience assessment of other infrastructure components such as tunnels, highway segments and in the case of bridges under multiple hazards.
UR - http://www.scopus.com/inward/record.url?scp=85013057079&partnerID=8YFLogxK
U2 - 10.1016/j.ijdrr.2017.01.001
DO - 10.1016/j.ijdrr.2017.01.001
M3 - Article
AN - SCOPUS:85013057079
SN - 2212-4209
VL - 22
SP - 458
EP - 468
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
ER -