scholarly journals Standard Penetration Tests and Soil Liquefaction Potential Evaluation

1980 ◽  
Vol 20 (4) ◽  
pp. 95-111 ◽  
Author(s):  
Fumio Tatsuoka ◽  
Toshio Iwasaki ◽  
Ken-Ichi Tokida ◽  
Susumu Yasuda ◽  
Makoto Hirose ◽  
...  
Keyword(s):  
Soil Liquefaction ◽  
Liquefaction Potential ◽  
Potential Evaluation ◽  
Penetration Tests

Study on Critical Shear Wave Velocity of Saturated Loess Foundation Soil Liquefaction under Different Seismic Magnitudes Action

2012 ◽  
Vol 594-597 ◽  
pp. 1720-1726 ◽  
Author(s):  
Ping Wang ◽  
Lan Min Wang ◽  
Qian Wang ◽  
Jun Wang
Keyword(s):  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Evaluation Method ◽  
Soil Liquefaction ◽  
Test Results ◽  
Foundation Soil ◽  
Liquefaction Potential ◽  
Potential Evaluation ◽  
Loess Region

Use of Seed’s simplified liquefaction evaluation method, combined with the dynamic triaxial test results, and the wave velocity of site liquefaction, to evaluate liquefaction potential of the three typical loess sites under the action of different seismic magnitudes, and calculate the boundary depth of the liquefaction site. Moreover, give the corresponding relationship between the typical loess site liquefaction boundary depth and shear wave velocity, and get the critical shear wave velocity of typical loess liquefaction site. The results of the study show that, (1) saturated loess site could be liquefied under the action of a certain intensity earthquake. (2) saturated soil layers which do not produce liquefied under the action of 6.5 degree earthquake，its critical shear wave velocity is about 200 m/s, and under the action of 7 degree earthquake its critical shear wave velocity is about 303 m/s, under the action of 8 degree earthquake its critical shear wave velocity is about 368 m/s. This conclusion enriches and develops the basis of liquefaction potential evaluation in the loess region.

scholarly journals Predicting the liquefaction potential of soil layers in Tabriz city via artificial neural network analysis

2021 ◽  
Vol 3 (7) ◽  
Author(s):  
Mohammad Alizadeh Mansouri ◽  
Rouzbeh Dabiri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Soil Liquefaction ◽  
Data Sets ◽  
Liquefaction Potential ◽  
Advantages And Disadvantages ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Prediction Approach ◽  
Empirical Approaches

AbstractSoil liquefaction is a phenomenon through which saturated soil completely loses its strength and hardness and behaves the same as a liquid due to the severe stress it entails. This stress can be caused by earthquakes or sudden changes in soil stress conditions. Many empirical approaches have been proposed for predicting the potential of liquefaction, each of which includes advantages and disadvantages. In this paper, a novel prediction approach is proposed based on an artificial neural network (ANN) to adequately predict the potential of liquefaction in a specific range of soil properties. To this end, a whole set of 100 soil data is collected to calculate the potential of liquefaction via empirical approaches in Tabriz, Iran. Then, the results of the empirical approaches are utilized for data training in an ANN, which is considered as an option to predict liquefaction for the first time in Tabriz. The achieved configuration of the ANN is utilized to predict the liquefaction of 10 other data sets for validation purposes. According to the obtained results, a well-trained ANN is capable of predicting the liquefaction potential through error values of less than 5%, which represents the reliability of the proposed approach.

The use of MASW method in the assessment of soil liquefaction potential

2004 ◽  
Vol 24 (9-10) ◽  
pp. 689-698 ◽  
Author(s):  
Chih-Ping Lin ◽  
Cheng-Chou Chang ◽  
Tzong-Sheng Chang
Keyword(s):  
Soil Liquefaction ◽  
Liquefaction Potential ◽  
Masw Method

Soil Liquefaction Evaluation of Offshore Site Based on In Situ Shear Wave Velocity Measurements

2013 ◽  
Vol 405-408 ◽  
pp. 470-473
Author(s):  
Sheng Jie Di ◽  
Ming Yuan Wang ◽  
Zhi Gang Shan ◽  
Hai Bo Jia
Keyword(s):  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Wind Farm ◽  
Soil Liquefaction ◽  
Offshore Wind ◽  
Velocity Measurements ◽  
Liquefaction Resistance ◽  
Liquefaction Potential

A procedure for evaluating liquefaction resistance of soils based on the shear wave velocity measurements is outlined in the paper. The procedure follows the general formal of the Seed-Idriss simplified procedure. In addition, it was developed following suggestions from industry, researchers, and practitioners. The procedure correctly predicts moderate to high liquefaction potential for over 95% of the liquefaction case histories. The case study for the site of offshore wind farm in Jiangsu province is provided to illustrate the application of the proposed procedure. The feature of the soils and the shear wave velocity in-situ tested in site are discussed and the liquefaction potential of the layer is evaluated. The application shows that the layers of the non-cohesive soils in the depths 3-11m may be liquefiable according to the procedure.

Penetration Testing of Liquefaction Potential of Ashes due to Seismic Load

2016 ◽  
Vol 837 ◽  
pp. 140-145
Author(s):  
Ivan Slavik
Keyword(s):  
Sandy Soils ◽  
Unit Weight ◽  
Seismic Load ◽  
High Porosity ◽  
Liquefaction Resistance ◽  
Liquefaction Potential ◽  
Penetration Testing ◽  
Lake City ◽  
Penetration Tests ◽  
Cpt Test

Geomaterials with typical low unit weight and high porosity are significantly prone to liquefaction as a result of dynamic – seismic load. Investigation of geomaterials that are prone to liquefaction due to seismic load can use certain SPT and CPT penetration tests. The method of investigating liquefaction caused by seismic activity was developed based on numerous penetration tests of sandy or silty–sandy soils and was elaborated in detail at the Workshop on Evaluation of Liquefaction Resistance of Soil, NCEER, Salk Lake City, USA, 1996. In the present paper, the results of penetration CPT test conducted at the ash impoundment in Zemianske Kostoľany are analyzed using methodology NCEER.

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