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
Recommended Citation
Uaje, Mark Joel B., "PyPSHA: A Phyton-based Probablistic Seismic Hazard Analysis Program" (2015). Undergraduate Theses. 4120.
https://www.ukdr.uplb.edu.ph/etd-undergrad/4120
Document Type
Thesis