TY - GEN
T1 - Fuzzy logic-based attenuation relationships of strong motion earthquake records
AU - Ahumada, Abraham
AU - Altunkaynak, Abdusselam
AU - Ayoub, Ashraf
PY - 2012
Y1 - 2012
N2 - The objective of this paper is to present new attenuation relationships for free-field peak ground accelerations (PGA) using a fuzzy methodology approach. The used database was compiled from recent earthquakes in Taiwan and USA with magnitudes 5 or greater; and recorded on three different site conditions classified as rock, soil and soft soil. Uncertainty is a condition associated with essentially all aspects of earthquake related science and engineering. The main sources of uncertainty in the estimation of ground motion lie in the characterization of site geology, calculation of closest distances, determination of seismic shaking properties, and in the geotechnical properties of earthquake motion monitoring sites. However, fuzzy logic and statistical analysis can be used to quantify the uncertainties associated with these fundamental features. Fuzzy sets are developed as fuzzy model inputs by dividing the local geologic conditions into three groups as rock, soil and soft soil; epicentral distances into three groups as near, intermediate and far, whereas the output is the horizontal components of peak ground accelerations (PGA). The prediction model is tested with an independent data set for its successful prediction capability. The combination of fuzzy sets to describe natural language and statistics to quantify uncertainties inherent in earthquake ground motion lead to a rational analytical tool. This approach can be used to assess the potential variability in parameters that influence the earthquake intensity.
AB - The objective of this paper is to present new attenuation relationships for free-field peak ground accelerations (PGA) using a fuzzy methodology approach. The used database was compiled from recent earthquakes in Taiwan and USA with magnitudes 5 or greater; and recorded on three different site conditions classified as rock, soil and soft soil. Uncertainty is a condition associated with essentially all aspects of earthquake related science and engineering. The main sources of uncertainty in the estimation of ground motion lie in the characterization of site geology, calculation of closest distances, determination of seismic shaking properties, and in the geotechnical properties of earthquake motion monitoring sites. However, fuzzy logic and statistical analysis can be used to quantify the uncertainties associated with these fundamental features. Fuzzy sets are developed as fuzzy model inputs by dividing the local geologic conditions into three groups as rock, soil and soft soil; epicentral distances into three groups as near, intermediate and far, whereas the output is the horizontal components of peak ground accelerations (PGA). The prediction model is tested with an independent data set for its successful prediction capability. The combination of fuzzy sets to describe natural language and statistics to quantify uncertainties inherent in earthquake ground motion lead to a rational analytical tool. This approach can be used to assess the potential variability in parameters that influence the earthquake intensity.
UR - http://www.scopus.com/inward/record.url?scp=84866062476&partnerID=8YFLogxK
U2 - 10.1061/9780784412374.017
DO - 10.1061/9780784412374.017
M3 - Conference contribution
AN - SCOPUS:84866062476
SN - 9780784412374
T3 - 20th Analysis and Computation Specialty Conference - Proceedings of the Conference
SP - 185
EP - 194
BT - 20th Analysis and Computation Specialty Conference - Proceedings of the Conference
T2 - 20th Analysis and Computation Specialty Conference
Y2 - 29 March 2012 through 31 March 2012
ER -
