Assessment of Seismic Site Response and Liquefaction Potential for Some Sites using Borelog Data

Bhutani, Manish; Naval, Sanjeev

doi:10.28991/cej-2020-03091605

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…Studies of geological and geotechnical parameters related to natural hazard susceptibility [152], earthquake damage assessment using remote sensing [153,154], methodologies applied to disaster mitigation and monitoring [10,[155][156][157], geotechnical investigations of earthquakes [158][159][160], post-disaster road reconstruction [27,161,162], slope stability [163][164][165], numerical simulations [166,167], mining activities [168][169][170], soft soils [171,172], landslides [173][174][175], dikes [176], dams [177][178][179], study of the geomechanical parameters of materials [180][181][182], soil liquefaction [183][184][185], seismic microzoning [186][187][188], permafrost hazard [189], damage to geotechnical structures due to tsunamis [12], sediment consolidation [190], soil improvement [191], and investigations in coastal areas [192]…”

Section: Period II (2003-2010)mentioning

confidence: 99%

A Systematic Review of the Relationship between Geotechnics and Disasters

et al. 2022

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Landslides, earthquakes, and other natural events can change the landscape and generate human and economic losses, affecting transportation and public service infrastructure. In every geotechnical project, the investigation phase plays a fundamental role in reducing the risk of occurrence and mitigating catastrophes. As a result, governments have created entities to study disasters and identify triggering factors that generate huge losses worldwide. This research aims to conduct a systematic review of the relationship between geotechnics and disasters through bibliometric techniques, scientific production evaluation, and case studies analysis to recognize key topics, methods, and thematic development of the research worldwide. The research methodology consisted of three steps: (1) Database analysis, selection, and combination, (2) bibliometric analysis, and (3) systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. The systematic review with bibliometric analysis collected data from 1973 to 2021, with 1299 academic publications indexed in the Scopus and WoS database. These results indicated a growing trend of annual publications on disasters and their relationship with geotechnical studies, highlighting current issues and technological innovation. The main research trends in disaster risk assessment were topics mainly linked to landslides, earthquakes, liquefaction, and inappropriate analysis models with applications of geophysical methods, laboratory tests, remote sensing, and numerical models.

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Section: Period II (2003-2010)mentioning

confidence: 99%

A Systematic Review of the Relationship between Geotechnics and Disasters

et al. 2022

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“…Additionally, the effectiveness of soil improvement in reducing the amplitude of transmitted seismic motions has been verified by researchers (Adalier & Elgamal, 2002; Balakrishnan & Kutter, 1999; Hausler, 2002; Liu & Dobry, 1997; Meite et al., 2022; Olarte et al., 2018). The amplification or attenuation of seismic waves due to liquefiable soil is also studied within the concept of seismic site response (Adampira & Derakhshandi, 2020; Adampira et al., 2015; Bhutani & Naval, 2020; Jalil et al., 2021; Yıldız, 2021, 2022; Zhan & Chen, 2022; Zhao et al., 2022). The effect of loading rate on the response behaviour of cohesive soil layers was investigated, and due to the rate‐dependent nature of the damping ratio on characteristics of wave propagation, cohesive soils were found as sensitive to loading rate (Park & Hashash, 2008).…”

Section: Introductionmentioning

confidence: 99%

Influence of input motion and surface layer properties on seismic site response: A stochastic simulation method–based MLR model

Yıldız

2023

Near Surface Geophysics

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Seismic site response analyses are simulations in which the effects of geological conditions on seismic waves are examined. The uncertainties that make these analyses crucial are defined as the source of motion, the travel path of seismic waves, and geological conditions. In this study, a series of non-linear seismic response analyses were performed using data from site investigation studies. The results of non-linear analyses performed under earthquakes with different characteristics based on real soil data were investigated in terms of acceleration time histories and response spectra. The relationship between site response with the surface layer properties and input motion properties used in the simulations was examined in a parametrical manner. Based on the results obtained, Monte Carlo simulation, which is a stochastic data simulation method, was performed. Additionally, multiple regression and variance analysis (ANOVA) was performed on the dataset created by both site response analysis and stochastic simulations. The MLR model displayed highly accurate results with a coefficient of determination, R 2 of 0.9763, and a standard error of 0.109. The efficiency level of the independent variables used as input parameters in the simulations on the dependent variable, AF was examined. It was revealed that the coefficient of lateral earth pressure at rest (K o ), earthquake motion (i.e., PGA of input motion) and surface layer thickness (d surface ) from the soil properties had the highest effect on the amplification factor.

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Seismic Site Response and Liquefaction Potential for Proposed Underground Parking Site in Saharanpur (U.P.)

Bhutani

Naval

2022

Lecture Notes in Civil Engineering

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Assessment of Seismic Site Response and Liquefaction Potential for Some Sites using Borelog Data

Cited by 10 publications

References 19 publications

A Systematic Review of the Relationship between Geotechnics and Disasters

A Systematic Review of the Relationship between Geotechnics and Disasters

Influence of input motion and surface layer properties on seismic site response: A stochastic simulation method–based MLR model

Seismic Site Response and Liquefaction Potential for Proposed Underground Parking Site in Saharanpur (U.P.)

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