DocumentCode :
2543924
Title :
Fuzzy Template Based modeling for assessing earthquake induced liquefaction
Author :
Tesfamariam, S. ; Najjaran, H.
Author_Institution :
Nat. Res. Council (NRC) Canada, Ottawa
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
593
Lastpage :
597
Abstract :
Site seismic hazard assessment entails the integration of ground shaking, landslide and liquefaction potential. Liquefaction induced damage has highlighted the importance of considering liquefaction in earthquake risk assessment. Discernment of liquefaction vulnerability is a complex and nonlinear procedure that is influenced by model and parameter uncertainty. Inherent uncertainties encountered in the model can be handled with fuzzy based methods, which are capable of incorporating information obtained from expert knowledge and datasets. In this paper, the use of fuzzy template based (FTB) modeling is proposed for assessing earthquake-induced liquefaction. The efficiency of the proposed method is verified using actual liquefaction data reported in the literature. Overall, the correct liquefaction classifications obtained are 98% and 92% for training validation datasets, respectively.
Keywords :
civil engineering computing; earthquake engineering; expert systems; fuzzy set theory; learning (artificial intelligence); liquefaction; pattern classification; risk management; seismology; earthquake induced liquefaction assessment; earthquake risk assessment; expert knowledge; fuzzy template based modeling; ground shaking potential; landslide potential; liquefaction classifications; liquefaction data; liquefaction induced damage; liquefaction potential; site seismic hazard assessment; validation dataset training; Artificial neural networks; Computer networks; Earthquakes; Hazards; Humans; Risk management; Soil; Terrain factors; Uncertain systems; Uncertainty; Fuzzy template based modeling; earthquake hazard; liquefaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413860
Filename :
4413860
Link To Document :
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