TY - GEN
T1 - Risk assessment of bridges using Fuzzy Logic Controller
AU - Andric, Jelena
AU - Lu, Dagang
N1 - Funding Information:
The authors would like to acknowledge the support provided by the National Natural Science Foundation of China (Grant Nos. 50978080, 51178150, and 51378162) and Open Research Fund of State Key Laboratory for Disaster Reduction in Civil Engineering (SLDRCE12-MB-04).
PY - 2014
Y1 - 2014
N2 - Bridges are very important elements of infrastructure systems. During the operation period, bridges are exposed to various risks which will cause damage and/or collapse of structures. In this paper, a risk assessment model for bridges is proposed based on fuzzy logic theory, so that it can be adapted by practicing engineers in bridge risk assessment. Fuzzy logic is suitable for dealing with uncertainties because of its robustness. For estimating damage levels of bridges, a fuzzy logic controller is developed in this paper. The controller is implemented under the NetBeans IDE 7.0.1 environment. Risk sources which influence bridge functionality are identified by collecting and analyzing data of collapsed bridges. Many factors are important for risk assessment, but it is hard to quantify them because of the different opinions by experts. In this study, sixteen identified risks which have influences on bridge damage are used. The identified risks are taken as input variables to the fuzzy logic controller. Each input variable has been estimated through the experts' questionnaire. The output is the bridge damage level which might be minor, moderate and major. For the case study, a single-tower cable-stayed bridge located in Tianjin, China was chosen. According to results of the program, the expected bridge damage was moderate. It is demonstrated by this example that the developed approach in this paper can be effectively applied in practical risk assessment of bridges under different hazards considering the opinions of experts.
AB - Bridges are very important elements of infrastructure systems. During the operation period, bridges are exposed to various risks which will cause damage and/or collapse of structures. In this paper, a risk assessment model for bridges is proposed based on fuzzy logic theory, so that it can be adapted by practicing engineers in bridge risk assessment. Fuzzy logic is suitable for dealing with uncertainties because of its robustness. For estimating damage levels of bridges, a fuzzy logic controller is developed in this paper. The controller is implemented under the NetBeans IDE 7.0.1 environment. Risk sources which influence bridge functionality are identified by collecting and analyzing data of collapsed bridges. Many factors are important for risk assessment, but it is hard to quantify them because of the different opinions by experts. In this study, sixteen identified risks which have influences on bridge damage are used. The identified risks are taken as input variables to the fuzzy logic controller. Each input variable has been estimated through the experts' questionnaire. The output is the bridge damage level which might be minor, moderate and major. For the case study, a single-tower cable-stayed bridge located in Tianjin, China was chosen. According to results of the program, the expected bridge damage was moderate. It is demonstrated by this example that the developed approach in this paper can be effectively applied in practical risk assessment of bridges under different hazards considering the opinions of experts.
KW - Bridge
KW - Damage
KW - Fuzzy controller
KW - Fuzzy logic
KW - Membership functions
KW - Risk assessment
UR - http://www.scopus.com/inward/record.url?scp=84994476537&partnerID=8YFLogxK
M3 - Conference Proceeding
AN - SCOPUS:84994476537
T3 - Proceedings of the International Conference on Structural Dynamic , EURODYN
SP - 3073
EP - 3078
BT - Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014
A2 - Cunha, A.
A2 - Ribeiro, P.
A2 - Caetano, E.
A2 - Muller, G.
PB - European Association for Structural Dynamics
T2 - 9th International Conference on Structural Dynamics, EURODYN 2014
Y2 - 30 June 2014 through 2 July 2014
ER -