Research Article

SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS

Volume: 21 Number: 1 March 31, 2020
EN

SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS

Abstract

Together with the ever-increasing number of global and local Ground Motion Prediction Equations (GMPEs) and the complexity of the functional forms, incompatibility problems arise in the selection of the most appropriate GMPE for a specific location. Obviously, associated with the incompatibility issues, practitioners face a compromise over the precision of prediction because the functional form of the considered GMPE might be developed by considering all the influential parameters, which might not be available for the considered location. Hence, a modification is required to adjust the considered GMPE to local conditions by using the local ground motion data. The sensitivity of the parameters of the selected GMPEs to the local seismic propagation patterns can be determined only after the adjustment. The local propagation patterns, on the other hand, can only be identified by analyzing the indigenous data. Together with the attempts to solve the incompatibility problem, the selection of the most appropriate GMPE becomes the selection of the most suitable functional form.

The aim of this study is to select the most appropriate GMPE for Eskişehir through the guidance of the above statements. A number of GMPEs are selected according to the criteria of wider utilization and recognition. All the candidate GMPEs were subjected to adjustments, including some minor modifications and the calibration of the coefficients by using the indigenous data. Then, a number of statistical and visual procedures were applied including the performance test of the adjusted GMPEs with the records of the two largest earthquakes that occurred in the region. The study highlights the influence of the local seismic behavior on the performance of various functional forms of the candidate GMPEs. 

Keywords

References

  1. [1] Campbell KW.. Prediction of Strong Ground Motion Using the Hybrid Empirical Method and Its Use in the Development of Ground-Motion (Attenuation) Relations in Eastern North America. Bull Seismol Soc Am 2003; 93:1012–1033.
  2. [2] Douglas J An investigation of analysis of variance as a tool for exploring regional differences in strong ground Motions. J Seismol 2004; 8:485-486
  3. [3] Douglas J. On the regional dependence of earthquake response spectra. ISET J Earthq Technol 2007; 44:71–99.
  4. [4] Hintersberger E, Scherbaum F, Hainzl S. Update of likelihood-based ground-motion model selection for seismic hazard analysis in Western Central Europe. Bull Earthquake Eng 2007;5:1-16.
  5. [5] Stafford PJ, Strasser FO, Bommer JJ. An evaluation of the applicability of the NGA models to ground motion prediction in the Euro-Mediterranean Region. Bull Earthquake Eng 2008; 6:149–177.
  6. [6] Stewart JP, Scasserra G, Lanzo G, Mollaioli F, Bazzurro P. Critical evaluation of Italian strong motion data and comparison to NGA ground motion prediction equations, Report No. UCLA SGEL 2008/03, University of California, Los Angeles, 2008
  7. [7] Scasserra G, Stewart JP, Bazzurro P, Lanzo G, Mollaioli F. A comparison of NGA ground motion prediction equations to Italian data. Bull Seismol Soc Am 2009; 99:2961-298.
  8. [8] Bommer JJ, Douglas J, Scherbaum F. et al. On the Selection of Ground Motion Prediction Equations for Seismic Hazard Analysis. Seismol Res Lett 2010; 81:783-793.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

March 31, 2020

Submission Date

January 18, 2019

Acceptance Date

February 5, 2020

Published in Issue

Year 2020 Volume: 21 Number: 1

APA
Karaca, H. (2020). SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 21(1), 21-38. https://doi.org/10.18038/estubtda.514731
AMA
1.Karaca H. SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS. Estuscience - Se. 2020;21(1):21-38. doi:10.18038/estubtda.514731
Chicago
Karaca, Hakan. 2020. “SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 21 (1): 21-38. https://doi.org/10.18038/estubtda.514731.
EndNote
Karaca H (March 1, 2020) SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 21 1 21–38.
IEEE
[1]H. Karaca, “SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS”, Estuscience - Se, vol. 21, no. 1, pp. 21–38, Mar. 2020, doi: 10.18038/estubtda.514731.
ISNAD
Karaca, Hakan. “SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 21/1 (March 1, 2020): 21-38. https://doi.org/10.18038/estubtda.514731.
JAMA
1.Karaca H. SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS. Estuscience - Se. 2020;21:21–38.
MLA
Karaca, Hakan. “SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 21, no. 1, Mar. 2020, pp. 21-38, doi:10.18038/estubtda.514731.
Vancouver
1.Hakan Karaca. SELECTION OF THE MOST APPROPRIATE GROUND MOTION PREDICTION EQUATION FOR LOCAL SEISMIC HAZARD ANALYSIS. Estuscience - Se. 2020 Mar. 1;21(1):21-38. doi:10.18038/estubtda.514731

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