Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation

Earthquakes or seismic events cause several disturbances in the ground which can harm or damage the structural stability and could turn fatal. Liquefaction causes a sudden movement shift that is out of sync with the rest of the structure. This might cause several structural damages to the property l...

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Main Authors: Moreno, Jun Jun H., Ahmad, Mohammad Dean A., del Mundo, Cielo R., Sarmiento, Rozette Vea Kathrynn G., Abejuro, Lauren Hansendale C., Endaya, John Emmanuel C., Valdez, Rainier Lawrence A., Poso, Florante D., Jr.
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Published: Animo Repository 2022
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/11764
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-132342024-04-25T06:23:10Z Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation Moreno, Jun Jun H. Ahmad, Mohammad Dean A. del Mundo, Cielo R. Sarmiento, Rozette Vea Kathrynn G. Abejuro, Lauren Hansendale C. Endaya, John Emmanuel C. Valdez, Rainier Lawrence A. Poso, Florante D., Jr. Earthquakes or seismic events cause several disturbances in the ground which can harm or damage the structural stability and could turn fatal. Liquefaction causes a sudden movement shift that is out of sync with the rest of the structure. This might cause several structural damages to the property leading to casualties. In the Philippine geographical context, the West Valley Fault which traverses Metro Manila is a seismic threat capable of producing a maximum magnitude of 7.2. This study aims to assess the probability of liquefaction in Farnecio St., Quaipo, Manila as well as the determination whether the structures present will suffer from critical failure or not. Probabilistic Seismic Hazard Analysis and Monte Carlo Simulation were used to determine the seismic hazard. Recorded earthquake history from the Philippine Institute of Volcanology and Seismology was used as part of the seismic analysis. The seismic hazard analysis shows that a magnitude 5.3 earthquake has a 44.44 % probability of occurrence within the 10-to-20-kilometer distance from the seismic source. A peak ground acceleration of 0.458g and 0.548g was also determined for return periods of 500 and 2500 years for which a Uniform Hazard Response Spectrum was generated. The probability of damage for 2% in 50 years and 10% in 50 years is 39.63% and 30.41%, respectively. Keywords— Earthquake, Liquefaction, Monte Carlo Simulation, Probabilistic Seismic Hazard Analysis 2022-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/11764 Faculty Research Work Animo Repository Soil liquefaction—Philippines—Manila Shear strength of soils Reliability (Engineering) Civil Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Soil liquefaction—Philippines—Manila
Shear strength of soils
Reliability (Engineering)
Civil Engineering
spellingShingle Soil liquefaction—Philippines—Manila
Shear strength of soils
Reliability (Engineering)
Civil Engineering
Moreno, Jun Jun H.
Ahmad, Mohammad Dean A.
del Mundo, Cielo R.
Sarmiento, Rozette Vea Kathrynn G.
Abejuro, Lauren Hansendale C.
Endaya, John Emmanuel C.
Valdez, Rainier Lawrence A.
Poso, Florante D., Jr.
Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation
description Earthquakes or seismic events cause several disturbances in the ground which can harm or damage the structural stability and could turn fatal. Liquefaction causes a sudden movement shift that is out of sync with the rest of the structure. This might cause several structural damages to the property leading to casualties. In the Philippine geographical context, the West Valley Fault which traverses Metro Manila is a seismic threat capable of producing a maximum magnitude of 7.2. This study aims to assess the probability of liquefaction in Farnecio St., Quaipo, Manila as well as the determination whether the structures present will suffer from critical failure or not. Probabilistic Seismic Hazard Analysis and Monte Carlo Simulation were used to determine the seismic hazard. Recorded earthquake history from the Philippine Institute of Volcanology and Seismology was used as part of the seismic analysis. The seismic hazard analysis shows that a magnitude 5.3 earthquake has a 44.44 % probability of occurrence within the 10-to-20-kilometer distance from the seismic source. A peak ground acceleration of 0.458g and 0.548g was also determined for return periods of 500 and 2500 years for which a Uniform Hazard Response Spectrum was generated. The probability of damage for 2% in 50 years and 10% in 50 years is 39.63% and 30.41%, respectively. Keywords— Earthquake, Liquefaction, Monte Carlo Simulation, Probabilistic Seismic Hazard Analysis
format text
author Moreno, Jun Jun H.
Ahmad, Mohammad Dean A.
del Mundo, Cielo R.
Sarmiento, Rozette Vea Kathrynn G.
Abejuro, Lauren Hansendale C.
Endaya, John Emmanuel C.
Valdez, Rainier Lawrence A.
Poso, Florante D., Jr.
author_facet Moreno, Jun Jun H.
Ahmad, Mohammad Dean A.
del Mundo, Cielo R.
Sarmiento, Rozette Vea Kathrynn G.
Abejuro, Lauren Hansendale C.
Endaya, John Emmanuel C.
Valdez, Rainier Lawrence A.
Poso, Florante D., Jr.
author_sort Moreno, Jun Jun H.
title Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation
title_short Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation
title_full Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation
title_fullStr Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation
title_full_unstemmed Reliability analysis of earthquake-induced liquefaction in Manila using Monte Carlo simulation
title_sort reliability analysis of earthquake-induced liquefaction in manila using monte carlo simulation
publisher Animo Repository
publishDate 2022
url https://animorepository.dlsu.edu.ph/faculty_research/11764
_version_ 1797546197859172352