Generation of Liquefaction Potential Map for Kanpur City and Allahabad City of Northern India: An Attempt for Liquefaction Hazard Assessment

2017 ◽  
Vol 36 (1) ◽  
pp. 293-305 ◽  
Author(s):  
Sambit Prasanajit Naik ◽  
Nihar Ranjan Patra
Keyword(s):  
Hazard Assessment ◽  
Liquefaction Potential ◽  
Northern India ◽  
Liquefaction Hazard ◽  
Potential Map

scholarly journals Introduction and Application of a Simple Probabilistic Liquefaction Hazard Analysis Program: HAZ45PL Module

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jui-Ching Chou ◽  
Pao-Shan Hsieh ◽  
Po-Shen Lin ◽  
Yin-Tung Yen ◽  
Yu-Hsi Lin
Keyword(s):  
Hazard Analysis ◽  
Probabilistic Approach ◽  
Soil Liquefaction ◽  
Shallow Foundation ◽  
Evaluation Procedure ◽  
Liquefaction Potential ◽  
Probability Map ◽  
Liquefaction Hazard ◽  
Potential Map ◽  
The Government

The 2016 Meinong Earthquake hit southern Taiwan and many shallow foundation structures were damaged due to soil liquefaction. In response, the government initiated an investigation project to construct liquefaction potential maps for metropolitans in Taiwan. These maps were used for the preliminary safety assessment of infrastructures or buildings. However, the constructed liquefaction potential map used the pseudo-probabilistic approach, which has inconsistent return period. To solve the inconsistency, the probabilistic liquefaction hazard analysis (PLHA) was introduced. However, due to its complicated calculation procedure, PLHA is not easy and convenient for engineers to use without a specialized program, such as in Taiwan. Therefore, PLHA is not a popular liquefaction evaluation procedure in practice. This study presents a simple PLHA program, HAZ45PL Module, customized for Taiwan. Sites in Tainan City and Yuanlin City are evaluated using the HAZ45PL Module to obtain the hazard curve and to construct the liquefaction probability map. The liquefaction probability map provides probabilities of different liquefaction potential levels for engineers or owners to assess the performance of an infrastructure or to design a mitigation plan.

scholarly journals Liquefaction hazard zonation mapping of the Saitama City, Japan

2010 ◽  
Vol 40 ◽  
pp. 69-76 ◽  
Author(s):  
Rama Mohan Pokhrel ◽  
Jiro Kuwano ◽  
Shinya Tachibana
Keyword(s):  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Hazard Zonation ◽  
Liquefaction Potential ◽  
Amplification Ratio ◽  
Liquefaction Hazard ◽  
Clayey Silt ◽  
The City ◽  
Very High

Liquefaction hazard zonation mapping of the Saitama City targeted on the Kanto Plain NW Edge Fault is described in this paper. The study involves the geotechnical properties of the alluvial soil of the city including Standard Penetration Test (SPT), shear wave velocity and other geological data analysis. The city being highly urbanized is situated on the soft soil (alluvial deposits) at the proximity of an active seismic fault that has increased the possibility of liquefaction hazard in the area. Kanto Plain NW Edge Fault is an active fault that lies very near to the Saitama City having the estimated possible earthquake magnitude of 7.4. The possible peak horizontal ground acceleration (amax) from this earthquake is calculated as from 0.15 g to 0.30 g. By considering all possible acceleration values the liquefaction potential maps were prepared and presented in this paper. Additionally, the shear wave velocity is very low and amplification ratio is very high at the marshy deposit but it has comparatively high velocity and low amplification ratio at the marine loam deposit area of the Omiya Plateau. In this paper the liquefaction potential of the area is expressed in terms of liquefaction potential index (PL). The PL value for the clayey silt deposit in the marshy area with shallow water table is very high. In addition, the PL value in the marine loam deposit of the Omiya Plateau is less which indicates that loam deposit has less liquefaction potential than marshy deposit. The map obtained from this study was validated with the field condition of the study area. Hence, it is expected that this study will assist in characterizing the seismic hazards and its mitigation and will provide valuable information for urban planning in the study area in future.

scholarly journals Probabilistic seismic liquefaction hazard assessment of Kathmandu valley, Nepal

2020 ◽  
Vol 11 (1) ◽  
pp. 259-271
Author(s):  
Sajan K. C. ◽  
Sanish Bhochhibhoya ◽  
Purusottam Adhikari ◽  
Prasanna Adhikari ◽  
Dipendra Gautam
Keyword(s):  
Hazard Assessment ◽  
Kathmandu Valley ◽  
Seismic Liquefaction ◽  
Liquefaction Hazard

scholarly journals Characterization and Liquefaction Hazard Assessment of Two Hungarian Liquefied Sites from the 1956 Dunaharaszti Earthquake

2020 ◽  
Author(s):  
Zoltán Bán ◽  
Erzsébet Győri ◽  
László Tóth ◽  
Zoltán Gráczer ◽  
András Mahler
Keyword(s):  
Hazard Assessment ◽  
Back Analysis ◽  
Seismic Loading ◽  
Ground Acceleration ◽  
The Past ◽  
Annual Probability ◽  
Moderate Seismicity ◽  
Liquefaction Hazard ◽  
Back Calculation

The seismicity of Hungary can be considered moderately active, nevertheless contemporary reports from the past approx. 350 years documented surface manifestations of liquefaction occurrences. The last such earthquake was the 1956 Dunaharaszti ground motion, for which the location of two liquefied sites could be identified approx. 60 years after the event. This provided an excellent opportunity to analyze possibly the only accessible liquefied sites in Hungary. Analysis of the two sites included field and laboratory tests allowing the back-calculation of maximum horizontal ground acceleration of the earthquake. This parameter was previously unknown because the closest seismometer saturated during the event. The performed back-analysis using the principles of paleoliquefaction studies was the first of such analyses in the country. In areas with low to moderate seismicity, geotechnical engineers often neglect and overlook liquefaction hazard, however, when it is addressed, the hazard is often overestimated due to improper characterization of the seismic loading and site characterization. To explore this observation more deeply, probabilistic seismic and liquefaction hazard assessment were carried out at the two liquefied sites and it was found that this conclusion is also valid for Hungary, but the degree of conservatism of the pseudo-probabilistic procedures decreases with increasing earthquake return period (lower annual probability of occurrence).

scholarly journals Liquefaction Resistance Evaluation of Soils using Artificial Neural Network for Dhaka City, Bangladesh

2021 ◽  
Author(s):  
Abul Kashem Faruki Fahim ◽  
Md. Zillur Rahman ◽  
Md. Shakhawat Hossain ◽  
A S M Maksud Kamal
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Cumulative Frequency ◽  
Dhaka City ◽  
Liquefaction Resistance ◽  
Liquefaction Potential ◽  
Resistance Evaluation ◽  
Potential Index ◽  
Liquefaction Hazard ◽  
Artificial Neural

Abstract Soil liquefaction resistance evaluation is an important site investigation for seismically active areas. To minimize the loss of life and property, liquefaction hazard analysis is a prerequisite for seismic risk management and development of an area. Liquefaction potential index (LPI) is widely used to determine the severity of liquefaction quantitatively and spatially. LPI is estimated from the factor of safety (FS) of liquefaction that is the ratio of cyclic resistance ratio (CRR) to cyclic stress ratio (CSR) calculated applying simplified procedure. Artificial neural network (ANN) algorithm has been used in the present study to predict CRR directly from the normalized standard penetration test blow count (SPT-N) and near-surface shear wave velocity (Vs) data of Dhaka City. It is observed that ANN model have generated accurate CRR data. Three liquefaction hazard zones are identified in Dhaka City on the basis of the cumulative frequency (CF) distribution of the LPI of each geological unit. The liquefaction hazard maps have been prepared for the city using the liquefaction potential index (LPI) and its cumulative frequency (CF) distribution of each liquefaction hazard zone. The CF distribution of the SPT-N based LPI indicates that 15%, 53%, and 69% of areas, whereas the CF distribution of the Vs based LPI indicates that 11%, 48%, and 62% of areas of Zone 1, 2, and 3, respectively, show surface manifestation of liquefaction for a scenario earthquake of moment magnitude, Mw 7.5 with a peak horizontal ground acceleration (PGA) of 0.15 g.

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