Effect of soil variability on nonlinear site response predictions: Application to the Lotung site

Guzel, Yusuf; Rouainia, Mohamed; Elia, Gaetano

doi:10.1016/j.compgeo.2020.103444

Cited by 30 publications

(20 citation statements)

References 37 publications

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“…Shear wave velocity accounts for the stiffness properties of the soil layers and is an important and influential input parameter for site amplification analyses [24][25][26]. Standard penetration test blow count (SPT N-value) as derived from in situ testing of soil samples is the common metrics for characterizing the stiffness properties of the soil.…”

Section: Shear Wave Velocitymentioning

confidence: 99%

Site-Specific Response Spectra: Guidelines for Engineering Practice

Lam

Khatiwada

et al. 2021

CivilEng

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Code response spectrum models, which are used widely in the earthquake-resistant design of buildings, are simple to apply but they do not necessarily represent the real behavior of an earthquake. A code response spectrum model typically incorporates ground motion behavior in a diversity of earthquake scenarios affecting the site and does not represent any specific earthquake scenario. The soil amplification phenomenon is also poorly represented, as the current site classification scheme contains little information over the potential dynamic response behavior of the soil sediments. Site-specific response spectra have the merit of much more accurately representing real behavior. The improvement in accuracy can be translated into significant potential cost savings. Despite all the potential merits of adopting site-specific response spectra, few design engineers make use of these code provisions that have been around for a long time. This lack of uptake of the procedure by structural designers is related to the absence of a coherent set of detailed guidelines to facilitate practical applications. To fill in this knowledge gap, this paper aims at explaining the procedure in detail for generating site-specific response spectra for the seismic design or assessment of buildings. Surface ground motion accelerograms generated from the procedure can also be employed for nonlinear time-history analyses where necessary. A case study is presented to illustrate the procedure in a step-by-step manner.

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Section: Shear Wave Velocitymentioning

confidence: 99%

Site-Specific Response Spectra: Guidelines for Engineering Practice

Lam

Khatiwada

et al. 2021

CivilEng

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“…By capturing the linear elastic response of the Turkey Flat site, they demonstrated the significant contribution of small-strain soil properties to site response variability. Additional work has been published specifically examining the effects of soil parameter uncertainty on ground response variability (Andrade and Borja, 2006; Barani et al, 2013; Bazzurro and Cornell, 2004; Boaga et al, 2011; Falcone et al, 2020; Guzel et al, 2020; Li, 2014; Nour et al, 2003; Sun et al, 2020; Ulmer et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Estimating epistemic uncertainty in soil parameters for nonlinear site response analyses: Introducing the Latin Hypercube Sampling technique

et al. 2022

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This study quantifies the effects of epistemic uncertainty in soil parameters on nonlinear (NL) site response analysis (SRA) results, validated against the data recorded at a well-instrumented geotechnical downhole array located in Japan. To this end, a one-dimensional soil column model of the Service Hall Array (SHA) near the Kashiwazaki-Kariwa Nuclear Power Plant (KKNPP) is developed using the finite element (FE) program LS-DYNA. The dynamic stress–strain relationship is characterized by a modified two-stage hyperbolic (MTH) NL backbone curve formulation capable of capturing soil behavior at both small- and large-shear strains. The model is then validated against the ground motion recordings to capture the model bias. The uncertainties associated with the shear-wave velocity profile (a small-strain soil property) and soil shear strength (a large-strain soil property) are incorporated in NL SRA to quantify their separate and joint randomization effects on the results. This study proposes using the Latin Hypercube Sampling (LHS) method as an efficient alternative to commonly used methods, such as Standard Monte Carlo (SMC), to account for uncertainty propagation in such reliability analysis. Both low-intensity and design-level records from the recordings at the SHA are applied to study the contribution of the small- and large-strain NL dynamic soil properties. Results from 46,200 NL FE analyses (23,100 per input motion) are presented. Measured and predicted site response, using recorded ground motions at this downhole array, is compared to assess the significance of soil parameter uncertainty on the observed ground motion dispersions. It is demonstrated that increasing the number of soft realizations and implementing higher level earthquake intensity lead to higher ground motion dispersion. Unlike past studies in randomization of Vs profiles with the SMC method, the LHS method is shown to have no significant effect on the predicted median surface response spectra and amplification factors (AFs) for this case study.

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“…According to the standard, a PGA value of 0.19g has been stipulated to Chittagong city. There are several site response studies reported in the literature for different regions across the globe to estimate surface level seismic hazard and the application of site response analysis are popular in recent studies as well due to its critical importance (Derras et al, 2020;Régnier et al, 2020;Adampira and Derakhshandi, 2020;Pavel et al, 2020;Guzel et al, 2020;Kakhki et al, 2020). However, it can be observed that there is a lack of implementation of the site-speci c soil data in the evaluation of ground motion parameters in the Chittagong region.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Seismic Hazard Analysis and Site Characterization of a Powerplant Site in Chittagong, Bangladesh

Kolathayar

Sengupta

2022

Preprint

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In the present study, the Probabilistic Seismic Hazard Analysis (PSHA) has been carried out for a powerplant site in Chittagong using the latest available information on seismicity in the region. The latest updated earthquake catalog homogenized in uniform moment magnitude scale was prepared. Seismicity analysis was carried out, and the seismicity parameters for the region were estimated from the frequency magnitude distribution plot. The peak ground acceleration (PGA) and the spectral acceleration at the bedrock for 10% and 2% probability of exceedance within 50 years were evaluated using different source models and attenuation relations in a logic tree framework. The site was characterized based on the soil investigation data from 31 boreholes and amplification factors considering the local geology (SPT-N values) were obtained through ground response analysis. Subsequently, the surface level peak ground acceleration was estimated and depicted in the form of hazard contour maps.

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Effect of soil variability on nonlinear site response predictions: Application to the Lotung site

Cited by 30 publications

References 37 publications

Site-Specific Response Spectra: Guidelines for Engineering Practice

Site-Specific Response Spectra: Guidelines for Engineering Practice

Estimating epistemic uncertainty in soil parameters for nonlinear site response analyses: Introducing the Latin Hypercube Sampling technique

Probabilistic Seismic Hazard Analysis and Site Characterization of a Powerplant Site in Chittagong, Bangladesh

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