Probabilistic liquefaction analysis

by M. E. Hynes

Publisher: U.S. Nuclear Regulatory Commission in Washington, D.C

Written in English
Published: Pages: 28 Downloads: 940
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  • Soil liquefaction -- Mathematical models.,
  • Earthquake hazard analysis -- Mathematical models.,
  • Probabilities.

Edition Notes

Statementprepared by M. E. Hynes ; U.S. Army Corps of Engineers.
SeriesNUREG/CR -- 6622.
ContributionsUnited States. Army. Corps of Engineers, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology.
The Physical Object
Pagination28, A14 p. :
Number of Pages28
ID Numbers
Open LibraryOL16643428M

the weighted probabilistic analysis can be done for any normalizing earthquake magnitude other than M= but the appropriate magnitude weighting factor for the chosen normalizing magnitude must be applied again, when calculating liquefaction resistance using Figure 1. Although several probabilistic models are available in the literature, there is an advantage having a probabilistic version of the Robertson and Wride method so that the engineer who prefers to use this method can obtain additional information of liquefaction probability with minimal extra effort. Existing liquefaction studies have mostly used deterministic approach to obtain the factor of safety against liquefaction. Thus, to update the conventional deterministic liquefaction analysis results, this study performs probabilistic seismic liquefaction hazard assessment of Kathmandu valley considering wide range of earthquake magnitudes and. Liquefaction of loose saturated cohesionless soils under the effect of strong ground motion, is one of the most complex topic that the Geotechnical Earthquake Engineer can face. LiqIT is a soil liquefaction analysis software for the assessment of liquefaction potential based .

The method is explained by following a step-by-step procedure and by using a recent case study for western Canada. Two illustrations, related to liquefaction triggering analysis and seismic vulnerability analysis, are discussed to demonstrate how probabilistic seismic hazard analysis facilitates advanced earthquake engineering applications. to utilize the results of the PSHA in a probabilistic liquefaction susceptibility and ground failure analysis. Truly probabilistic liquefaction hazards studies such as this have been performed for critical structures; however, this level of analysis is not routinely performed in practice. probabilistic methods are applied to flow liquefaction case histories from the Kocaeli/Duzce, Turkey Earthquake, where extensive liquefaction was observed. The methods presented in this paper should aid in making better decisions about the design and rehabilitation of structures constructed of or atop liquefiable soil deposits.   The present study focuses on the probabilistic evaluation of liquefaction potential of Alameda County site, California, considering spatial variation of soil indices related to CPT soundings. A stochastic soil model is adopted for this purpose using random field theory and principles of geostatistics by developing 2D exponential correlation.

In this study, a probabilistic neural network (PNN) approach based on the Bayesian classifier method is used to evaluate seismic liquefaction potential based on actual field records. Two separate analyses are performed, one based on cone penetration test data and one based on shear wave velocity data. Cetin et al. () were developed the probabilistic approach which is based on the statistical study of liquefaction as well as non-liquefaction case histories. Juang et al. () carried out reliability analysis for liquefaction potential of soils using SPT-test.   Risk and Reliability in Geotechnical Engineering book. Converting a deterministic liquefaction model into a probabilistic model. Estimation of liquefaction-induced settlement. Summary and Conclusions. Probabilistic settlement analysis of a Hong Kong trial embankment on soft clay. Kramer and Mayfield () described a probabilistic liquefaction hazard analysis procedure for evaluating liquefaction triggering that generates FS hazard curves (see Figure ) that account for all peak ground acceleration (PGA) levels and all magnitudes that contribute to those PGA levels. These curves show the mean annual rate of non.

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The professional literature has numerous papers on probabilistic liquefaction analysis as shown in Appendix A. The three basic elements of probabilistic liquefaction analysis are: (1) uncertainty in the earthquake load, (2) uncertainty in the available resistance, and (3) uncertainty in the method of analysis.

probabilistic seismic hazard analysis (PSHA), a need often arises to evaluate the liquefaction potential itself within the context of a formal hazard analysis.

For example, liquefaction potential may need to be measured against target performance goals for the facility, or to include explicit consideration of a range of possible local soil.

First-Order Reliability Method for Probabilistic Liquefaction Triggering Analysis Using CPT Journal of Geotechnical and Geoenvironmental Engineering March Show more Show lessCited by: 9. This paper describes a probabilistic method for assessing the liquefaction potential of sandy soils.

The proposed probabilistic method is formulated based on the results of reliability analyses of. Probabilistic Liquefaction Hazard Analysis for Four Canadian Cities Data and Resources. All data used in this paper came from Probabilistic liquefaction analysis book sources. listed in the references.

Acknowledgments. Equivalent number of cycles (N cyc) is a significant factor in assessing liquefaction potential during r, the effects of N cyc are considered a deterministic value by using a magnitude scaling factor, and the uncertainties of these effects have not been included in the current design practice.

This paper calculates N cyc within the soil mass by deconvolution analysis as a. The liquefaction hazard tends to be high in Holocene and late Pleistocene lowland sediments, even with lowered groundwater levels, and low in Pleistocene loess of the uplands.

Considering pore‐pressure effects in nonlinear site‐response analysis at a test site on the lowlands shows amplification of ground motion at short periods. The authors present valuable data and analysis of a shear-wave velocity (V s) methodology to estimate the triggering of liquefaction, where the parameter V s 1 is used as a use of V s to constrain seismic demand and soil capacity is commended, and in the opinion of the discussers, it Probabilistic liquefaction analysis book a concept that should continue to be exploited.

The proposed methodology addresses. liquefaction triggering correlation using the updated case history database and a maximum likelihood method. Sensitivity of the derived probabilistic relationship to the key assumptions is examined, and issues affecting the application of probabilistic liquefaction triggering models in practice are discussed.

Section 2 of this report contains an overview of the liquefaction analysis framework that has been used for the CPT-based and SPT-based liquefaction triggering procedures adopted by the authors.

The analysis and issues affecting the application of probabilistic liquefaction triggering models in practice are discussed.

The use of probabilistic methods in liquefaction potential evaluation will help in quantifying the uncertainties involved in seismic hazard and soil resistance in a better way.

The spatial maps showing the variation of factor of safety against liquefaction for different return periods are developed based on the shear wave velocity values. In this papera comparative study of liquefaction potential of soil sites susceptible to liquefaction have been done using eight SPT based probabilistic approaches.

Most of the approaches are based on logistic regression analysis of field performance data to determine empirical equations for evaluating the probability of liquefaction. We propose a consistent approach for probabilistic liquefaction hazard analysis (PLHA) that is based on probabilistic seismic hazard analysis and incorporates a reliability-based liquefaction potential evaluation method based on shear-wave velocity data.

Related Book Content. Advances in natural hazard science and assessment, – Probabilistic liquefaction analysis (OCoLC) Print version: Hynes, Mary Ellen.

Probabilistic liquefaction analysis (OCoLC) Material Type: Government publication, National government publication: Document Type: Book: All Authors / Contributors: Mary Ellen Hynes; U.S.

Nuclear Regulatory Commission. Office of Nuclear Regulatory. these uncertainties, probabilistic and statistical approaches have been employed in the literature[12,20,21].

There have been several notable studies done so far since last three decades. In a probabilistic analysis, the liquefaction potential is usually expressed as a function of liquefaction. Probabilistic Liquefaction Hazard Maps for Memphis, Tennessee Chris H.

Cramer; Modeling Distributed Seismicity for Probabilistic Seismic‐Hazard Analysis: Implementation and Insights with the OpenQuake Engine Bulletin of the Seismological Society of America. View More Related Book Content.

Advances in natural hazard science and. This study evaluates the probabilistic liquefaction potential through analysis of the two ground motion scenarios: the 2% chance of exceedance in 50 years (~ year “return interval”), and 10% chance of exceedance in 50 years (~ year “return interval”).

Find my institution. Log in / Register. 0 Cart. As a result, liquefaction potential is evaluated only by the factor of safety. In this paper, probabilistic concepts are used in determination of liquefaction potential. In order to determine the conditional probability of liquefaction, the Taylor's Series reliability method and Monte Carlo simulation method are used.

A review of probabilistic and deterministic liquefaction evaluation procedures reveals that there is a need for a comprehensive approach that accounts for different sources of uncertainty in.

Probabilistic Analysis of Liquefaction Potential: the First Eyewitness Case in Thailand Suttisak Soralump1 and Jessada Feungaugsorn2 1 Associate Professor, 2 Master Student, Geotechnical Earthquake Engineering Research Unit, Geotechnical Earthquake Engineering Research Development Center and Civil Engineering Department (GERD), Faculty of Engineering.

The performance-based liquefaction potential analysis was carried out in the present study to estimate the liquefaction return period for Bangalore, India, through a probabilistic approach. In this approach, the entire range of peak ground. Thus, to update the conventional deterministic liquefaction analysis results, this study performs probabilistic seismic liquefaction hazard assessment of Kathmandu valley considering wide range of.

1. Introduction. Liquefaction-induced lateral spread (or lateral displacement) often causes damage to roadways, buildings and lifelines. For example, during the Kobe, Japan earthquake, liquefaction-induced lateral spreads caused serious damages that resulted in significant destruction of the harbor facilities (Ishihara et al., ).The damages to buildings and roadways from such lateral.

TY - GEN. T1 - PROBABILISTIC STUDY OF SPT LIQUEFACTION ANALYSIS. AU - Kavazanjian, Edward. PY - /1/1. Y1 - /1/1. N2 - The influence of earthquake magnitude upon the commonly used correlation between Standard Penetration Test (SPT) blow count and liquefaction potential is evaluated using a probabilistic model for pore pressure development during seismic loading.

liquefaction susceptibility and probabilistic liquefaction potential hazard mapping, St. Louis, Missouri and Illinois, US Geologi- cal Survey, Award 05 HQGR   The probabilistic approach is built from the steps in a deterministic liquefaction analysis; however, the input parameters, such as penetration resistance, site stratigraphy, acceleration, and magnitude, are treated as random variables and the accuracy of the method of analysis is factored in as part of a capacity-demand model.

liquefaction of sands by seismic loading had not received a great deal of attention until when two major earthquakes shook Anchorage, Alaska, and Niigata, Japan, resulting in substantial damage and loss. The Alaska earthquake ina shock with a magnitude, M, of on the Richter scale, destroyed or damaged more than bridges and.

By integrating PSHA with liquefaction assessment, a new engineering tool for probabilistic liquefaction hazard analysis (PLHA), which is useful for rational decision making in geotechnical applications, can be developed (Kramer and Mayfield, ; Juang et. This book covers a variety of topics: * Theory and analysis, including constitutive relations of soil under cyclic loading, post-seismic stability analysis of soil/structure, dynamic stability of structures, liquefaction analysis of marine structures due to cyclic loading, and more * Cyclic and dynamic laboratory and model testing, centrifuge.

This study analyzed the influences of sampling bias and class imbalance on the performance of four common methods used in 10 models for seismic liquefaction—Bayesian network (BN), artificial neural network (ANN), logistic regression (LR), and support vector machine (SVM)—using controlled experiments based on penetration test (SPT) data from.D.G.

Honegger, D. Wijewickreme, in Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems, Liquefaction-induced ground movements.

In saturated loose or soft granular soils, liquefaction occurs when the shear strains induced due to seismic shaking cause transient pore water pressures to increase in the soil mass. However, the liquefaction potential index (LPI) evaluates the performance of the entire soil column and allows a measurement of the severity of liquefaction.

In this paper, the liquefaction potential is used in conjunction with deterministic approach and reliability based probabilistic approach using SPT and CPT results.