Sensitivity analysis of geotechnical site conditions effect on the seismic response of a saturated inhomogeneous poroviscoelastic soil profile

Ouzandja, Toufiq; Hadid, Mohamed

doi:10.1108/wje-12-2017-0388

Cited by 3 publications

(2 citation statements)

References 37 publications

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“…The classification system is based on two primary and two secondary parameters: (i) type of deposit and depth of bedrock; and (ii) depositional age and soil type. Ouzandja and Hadid (2018) investigated the effect of fines content, porosity, permeability, coefficient of uniformity and degree of saturation on the peak acceleration ratio of linear and non-linear seismic site response. Among the considered variables, it has been observed that the vertical response spectra are strongly affected by the saturation degree.…”

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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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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“…Hence, the exact purpose of these tools is to prioritize the important data and eliminate the trivial data to optimize the system and reduce over-design (Cacuci et al, 2005). Thus, a sensitivity analysis (SA) is used in different sciences and engineering fields (Toufiq and Hadid, 2018;Ranjbar and Saffar, 2016;Tian, 2012;Zhang et al, 2020aZhang et al, , 2020bAbbiati et al, 2021). In general, the SA methods are divided into local and global methods; the first category is known as one-at-a-time methods, i.e.…”

Section: Introductionmentioning

confidence: 99%

Matlab sensitivity analysis toolbox: an application on faults identification in induction motors

Aswad

Jassim

2023

COMPEL

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Purpose This paper aims to introduce the usage of sensitivity analysis (SA) for the problem of faults identification in three-phase induction motors (IMs). These motors are susceptible to different kinds of faults that should be detected in a proper time to keep the systems working in a safety environment. Design/methodology/approach One of the effective approaches for faults identifications, which is presented in the literature, is a model-based strategy. This strategy mainly depends on using a software model to make an identification decision. Therefore, this work intends to examine the model sensitivity towards variables’ variation. The SA toolbox of Matlab R2017b package is used for this purpose since the Matlab software is a well-known environment, and it is easy for a nonstatistical person to deal with it. As a study case, open-circuit and stator inter-turn faults in the stator windings of a three-phase IM have been chosen. Findings The results show that the model-based strategy is considerably speed up by up to 30% when neglecting the trivial model’s parameters with the same accurate identification decision as compared with the results of this strategy without using the SA. Originality/value The novelty of this work is summarized in devoting the usage of SA in the field of faults identification to enhance the speed of final decision.

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The influence of closed pores on the gas transport and its application in coal mine gas extraction

Kizil

et al. 2019

Fuel

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Sensitivity analysis of geotechnical site conditions effect on the seismic response of a saturated inhomogeneous poroviscoelastic soil profile

Cited by 3 publications

References 37 publications

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

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

Matlab sensitivity analysis toolbox: an application on faults identification in induction motors

The influence of closed pores on the gas transport and its application in coal mine gas extraction

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