Incorporating inherent uncertainties in seismic liquefaction assessments to estimate probabilities of failure for tailings facilities

2021 ◽  
pp. 1-26
Author(s):  
Holly Williams
Keyword(s):  
Seismic Liquefaction

Modelling of Seismic Liquefaction Using Classification Techniques

2021 ◽  
Vol 12 (1) ◽  
pp. 12-21
Author(s):  
Azad Kumar Mehta ◽  
Deepak Kumar ◽  
Pijush Samui
Keyword(s):  
Classification Problem ◽  
Group Method ◽  
Type I ◽  
Error Type ◽  
Reliable Technique ◽  
Case Record ◽  
Classification Techniques ◽  
Liquefaction Susceptibility ◽  
Seismic Liquefaction ◽  
Non Linear

Liquefaction susceptibility of soil is a complex problem due to non-linear behaviour of soil and its physical attributes. The assessment of liquefaction potential is commonly assessed by the in-situ testing methods. The classification problem of liquefaction is non-linear in nature and difficult to model considering all independent variables (seismic and soil properties) using traditional techniques. In this study, four different classification techniques, namely Fast k-NN (F-kNN), Naïve Bayes Classifier (NBC), Decision Forest Classifier (DFC), and Group Method of Data Handling (GMDH), were used. The SPT-based case record was used to train and validate the models. The performance of these models was assessed using different indexes, namely sensitivity, specificity, type-I error, type-II error, and accuracy rate. Additionally, receiver operating characteristic (ROC) curve were plotted for comparative study. The results show that the F-kNN models perform far better than other models and can be used as a reliable technique for analysis of liquefaction susceptibility of soil.

A Study into Resin Injection as a Ground Improvement Technique for Seismic Liquefaction Mitigation

2018 ◽  
Author(s):  
Nick J. Traylen ◽  
Frederick J. Wentz ◽  
Sjoerd Van Ballegooy ◽  
Liam M. Wotherspoon ◽  
Theo Hnat ◽  
...  
Keyword(s):  
Ground Improvement ◽  
Seismic Liquefaction ◽  
Liquefaction Mitigation ◽  
Resin Injection

scholarly journals Development of Sensor for Monitoring Seismic Liquefaction.

2002 ◽  
Vol 42 (1) ◽  
pp. 35-52 ◽  
Author(s):  
YOSHIHISA SHIMIZU ◽  
SUSUMU YASUDA ◽  
IWAO MORIMOTO ◽  
ROLANDO ORENSE
Keyword(s):  
Seismic Liquefaction

Application of Biot’s dynamic equation to seismic liquefaction problem

Poromechanics ◽  
2020 ◽  
pp. 505-510
Author(s):  
T. Shiomi ◽  
S. Tsukuni ◽  
O.C. Zienkiewicz
Keyword(s):  
Dynamic Equation ◽  
Seismic Liquefaction

scholarly journals A NEUROFUZZY TECHNIQUE TO PREDICT SEISMIC LIQUEFACTION POTENTIAL OF SOILS

2014 ◽  
Vol 24 (3) ◽  
pp. 249-266 ◽  
Author(s):  
Vijay Kumar ◽  
Kumar Venkatesh ◽  
R. P. Tiwari
Keyword(s):  
Liquefaction Potential ◽  
Seismic Liquefaction

Geostatistical approach for multi-scale seismic liquefaction risk assessment

2021 ◽  
Author(s):  
Rose Line Spacagna ◽  
Massimo Cesarano ◽  
Stefania Fabozzi ◽  
Edoardo Peronace ◽  
Attilio Porchia ◽  
...  
Keyword(s):  
Regional Scale ◽  
Morphological Characteristics ◽  
Predisposing Factors ◽  
Data Availability ◽  
Hazard Maps ◽  
Multi Scale ◽  
Seismic Liquefaction ◽  
Research Activities ◽  
Geostatistical Approach ◽  
Definition Of

<p>The Seismic Microzonation studies (SMs), promoted all over the Italian territory by the Department of Civil Protection, provide fundamental knowledge of the subsoil response in seismic conditions at the urban scale. Amplification phenomena related to lithostratigraphic and morphological characteristics, instabilities and permanent deformations activated by the earthquake, are highlighted in hazard maps produced at increasing reliability levels (level 1 to 3 of SM). In particular, zones prone to liquefaction instability are firstly identified following the predisposing factors, such as geological and geotechnical characteristics and seismicity. The robustness of the definition of these areas is strongly correlated to the availability and the spatial distribution of surveys. Moreover, the typology and quality of the investigations considerably influence the method of analysis and the degree of uncertainty of the results.</p><p>This work aims to establish an updated procedure of the actual SM guidelines and integrates recent research activities at different levels of SMs, to improve the hazard maps accuracy in terms of liquefaction susceptibility. For the scope, the case of the Calabria region in the south of Italy, well known for the high level of seismicity, was studied. At a regional scale, the base-level analysis was implemented for a preliminary assessment of the Attention Zones (AZ), potentially susceptible to liquefaction. The predisposing factors were implemented at a large scale, taking advantage of geostatistical tools to quantify uncertainties and filter inconsistent data. The regional-scale analysis allowed to highlight areas prone to liquefaction and effectively addressed the subsequent level of analysis. At a local scale, the quantitative evaluation of the liquefaction potential was assessed using simplified methods, integrating data from different survey types (CPT, SPT, Down-Hole, Cross-Hole, MASW) available in SM database. The definition of Susceptibility Zones (SZ) was provided considering additional indexes, combining the results obtained from different surveys typologies and quantifying the uncertainty due to the limited data availability with geostatistical methods. The analyses at the regional and municipality scale were matched with seismic liquefaction evidence, well documented in past seismic events. This multi-scale process optimises resource allocation to reduce the level of uncertainty for subsequent levels of analysis, providing useful information for land management and emergency planning.</p>

scholarly journals Seismic liquefaction evaluation of deposit soils under engineering loading or unloading conditions

2020 ◽  
Vol 794 ◽  
pp. 012043
Author(s):  
Yusheng Yang ◽  
Xiaosheng Liu ◽  
Jianming Zhao ◽  
Jie Zhou ◽  
Bing He ◽  
...  
Keyword(s):  
Seismic Liquefaction
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