CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings
Paper
title

ASSESSMENT OF NGA IN CONSIDERATION OF UNCERTAINTY RELATED TO FAULT RUPTURE MODEL PARAMETERS

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 29
Year: 2019
COI code: SEE08_010
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors ASSESSMENT OF NGA IN CONSIDERATION OF UNCERTAINTY RELATED TO FAULT RUPTURE MODEL PARAMETERS

  Mohammadreza Amini - M.Sc., Department of Civil Engineering, Faculty of Engineering, Arak University, Arak, Iran
  Mehdi Mousavi - Associate Professor, Department of Civil Engineering, Faculty of Engineering, Arak University, Arak, Iran
  Ali Farhadi - PhD Candidate, Department of Civil Engineering, University of Memphis, Memphis, United state
  Kaveh Horri - B.Sc., Department of Civil Engineering, Faculty of Engineering, Arak University, Arak, Iran

Abstract:

The earthquakes are the only naturally occurring unpredictable catastrophe. Seismic Hazard Analysis (SHA) is a technique to calculate the probable future earthquake. Magnitude, source to site distance, site characteristic and seismology parameters are the effective element in (SHA). Magnitude and source to site distance have more prominent role than others. Dip angle (δ), down dip rupture Width (W) and rupture Length (L) directly affect the source to site distance. Accurate determination of these parameters is not always possible and have uncertainty. Due to integration limitation in classic (SHA) the uncertainty of these parameters neglected. Mont-Carlo simulation can consider these uncertainty in SHA. Ignoring uncertainty of fault rupture leads to over/underestimation of hazard, especially at shorter periods in a characteristic band of region. In this study, mentioned uncertainties utilizing the Monte Carlo simulation method the results of the Next Generation Attenuation 2014 (NGA-WEST2 2014) examined in comparison with NGA08. The results show that ground motion models of Boore, Stewart, Seyhan and Atkinson (BSSA14) lead to a better consideration of fault rupture uncertainties than Boore and Atkinson (BA08). In other words, ignoring these uncertainties has less impact on the final results of seismic hazard analysis. BSSA14 in its functional form doesn’t has any of the fault rupture parameters (δ, W, L) obviously as input and difference is improving the database, therefore it is expected to provide a better prediction. At more than 50 km from fault trace, Abrahamson, Silva and Kamai (ASK14) ground motion prediction equation shows weaker performance than Abrahamson, Silva (AS08), that s because of adding horizontal distance of the end of rupture measured parallel to strike parameter (Ryo) to ASK14. This parameter describes the fault length, by adding this parameter the standard deviation of NGA model has increased.

Keywords:

Dip Angle, Down Dip Rupture Width, Subsurface Rupture Length, Probabilistic Seismic Hazard Analysis, Monte-Carlo Simulation

Perma Link

https://www.civilica.com/Paper-SEE08-SEE08_010.html
COI code: SEE08_010

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Amini, Mohammadreza; Mehdi Mousavi; Ali Farhadi & Kaveh Horri, 2019, ASSESSMENT OF NGA IN CONSIDERATION OF UNCERTAINTY RELATED TO FAULT RUPTURE MODEL PARAMETERS, 8th International Conference on Seismology and Earthquake Engineering, تهران, پژوهشگاه بين‌المللي زلزله‌شناسي و مهندسي زلزله, https://www.civilica.com/Paper-SEE08-SEE08_010.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Amini, Mohammadreza; Mehdi Mousavi; Ali Farhadi & Kaveh Horri, 2019)
Second and more: (Amini; Mousavi; Farhadi & Horri, 2019)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)

Scientometrics

The University/Research Center Information:
Type: state university
Paper No.: 2903
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper

WHAT IS COI?

COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.