PyPSHA: A Phyton-based Probablistic Seismic Hazard Analysis Program

Date

7-2015

Degree

Bachelor of Science in Civil Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Jedidiah Joel C. Aguirre

Restrictions

Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.

Abstract

Probabilistic seismic hazard analysis (PSHA), the quantification of seismic hazard using probabilistic approach, was coded using Python programming language. This study aimed to program estimation of ground motion at any site in the Philippines. Fault and areal sources were considered in modelling the spatial uncertainlty of the seismic sources. Differential distances of the source to the site were obtained and transformed into a histyogram that approximates probability density function (PDF). Size uncertanties were also coded following Gutenburg-Richter law and characteristic earthquake law. Updated ground motion prediction equations (GMPE) were made available to the user. Logic tree, a measure of epistemic variability, was also incorporated to the program. These uncertainties were combined to finally compute for the hazard. To validate PySHA, site- specific PSHA of four sites in Laguna was done and was compared to a PSHA study. This program can be used in future site-specific and regional PSHA studies anywhere given a sufficient catalog of seismic sources.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2015 E63 /U35

Document Type

Thesis

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