Assessment of liquefaction potential index for Mumbai city

Dixit, Jagabandhu; Dewaikar, D. M.; Jangid, R. S.

doi:10.5194/nhess-12-2759-2012

Cited by 69 publications

(19 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Neupane and Suzuki [30], has performed liquefaction potential of Kathmandu Valley using SPT N-values and investigated the effects of fine on liquefaction potential. Dixit et al [31] has evaluated the susceptibility of soil liquefaction for Mumbai city using simplified empirical procedure based on SPT test data. The liquefaction is evaluated for Mumbai city in terms of the factors of safety against liquefaction along the depths of soil profiles for different earthquakes with 2 % probability of exceedance in 50 years.…”

Section: Cl-nlmentioning

confidence: 99%

Liquefaction Potential of Roorkee Region Using Field and Laboratory Tests

Muley

Maheshwari

Paul

2015

Int. J. of Geosynth. and Ground Eng.

View full text Add to dashboard Cite

Before taking up the ground improvement of a site, assessment of liquefaction potential of a region is very important. This also helps in seismic microzonation of the area. It can be rationally performed if the data of site (using either field tests or laboratory tests) are available. The aim of the present study is to evaluate liquefaction potential of Roorkee (India) region. For this purpose the liquefaction resistance of the soil, within the radius of 30 km of Roorkee, was evaluated using two different approaches. First is the field approach based on standard penetration test (SPT) N-Value and second is the laboratory approach employing mean grain size distribution (D 50 ). Investigation was carried out at five different locations by conducting SPT tests and collecting soil samples at regular interval. The cyclic shear stress due to earthquake loading was examined using simplified method as well as using ground response analysis. The factor of safety against liquefaction was evaluated at different depths for all the sites using both field and laboratory data. It was found that the factor of safety against the liquefaction using field approach is marginally greater than that using the laboratory approach for all the sites. Also the factor of safety using ground response analysis is significantly smaller than that using simplified method. Thus it was concluded that use of simplified method may not be adequate.

show abstract

Section: Cl-nlmentioning

confidence: 99%

Liquefaction Potential of Roorkee Region Using Field and Laboratory Tests

Muley

Maheshwari

Paul

2015

Int. J. of Geosynth. and Ground Eng.

View full text Add to dashboard Cite

show abstract

“…Where H i is the thickness of the individual soil layer. N is the number of the total soil layer, FSL is the factor of the safety against liquefaction, w i is the weighting factor (=10-0.5 Hz), and z i is the depth of i th layer (m) [76,77].…”

Section: Assessment Of Liquefaction Potential Indexmentioning

confidence: 99%

“…For the level ground, the post liquefaction settlement can be estimated from the volumetric strain induced due to the rise in excess pore water pressure [42,[77][78][79][80]. Most of these methods are analytical and based on laboratory studies.…”

Section: Post Liquefaction Settlement Estimationmentioning

confidence: 99%

Land Damage Mapping and Liquefaction Potential Analysis of Soils from the Epicentral Region of 2017 Pohang Mw 5.4 Earthquake, South Korea

et al. 2020

View full text Add to dashboard Cite

Studies on earthquake-induced liquefaction and identification of source unit for causing liquefaction have been a major concern in sustainable land use development especially in low to moderate seismic areas. During the 2017 M w 5.4 Pohang earthquake, widespread liquefaction was reported around the Heunghae basin, which was the first ever reported case of liquefaction in the modern seismic history of Korea. The epicentral area is one of the major industrial hubs along the SE Korean Peninsula with no detailed liquefaction hazard map. The purpose of this study was to determine the land damage classification on the basis of surface manifestation of liquefaction features and carry out detailed liquefaction potential analysis to delineate the depth of liquefiable soil. This will eventually support developing a liquefaction hazard zonation map and sustainable development of infrastructure to minimize earthquake damages. In this present study, the southern part of the Heunghae basin, which has more field evidences of liquefaction than the northern part, was taken for detailed liquefaction analysis. From the detailed analysis, it was observed that the soils from 1.5 to 15 m depth with the probability of liquefaction varying from 2 to 20 are prone to liquefaction. On the basis of land damage pattern, the epicentral area falls in orange to red zone, which means the necessity of further detailed liquefaction analysis. This study urges more detailed liquefaction zonation should be carried out for the epicentral area and liquefaction hazard should be included in the multi-hazard map in the future for the sustainable land use planning.

show abstract

“…Among them, liquefaction resistance of soils is generally and easily evaluated by a commonly used method: Simplified empirical procedure based on SPT [2, and 4]. A soil layer with FS value smaller than 1 is usually categorized as liquefiable and with FS value greater than 1 is categorized as non-liquefiable [5].…”

Section: Introductionmentioning

confidence: 99%

The Use of Neural Networks for the Prediction of the Factor of Safety of the Soil Against Liquefaction

Erzin

Tuskan

2018

Scientia Iranica

View full text Add to dashboard Cite

In this paper, the factor of safety values of soil against liquefaction (FS) were investigated by mean of artificial neural network (ANN) and multiple regression (MR). To achieve this, two earthquake parameters, namely, earthquake magnitude (M w ) and horizontal peak ground acceleration (a max ), and six soil properties, namely, standard penetration test number (SPT-N), saturated unit weight (γ sat ), natural unit weight (γ n ), fines content (FC), the depth of ground water level (GWL), and the depth of the soil (d) varied in the liquefaction analysis and then the FS value was calculated from the simplified method for each case by using the Excel program developed and utilized in the simulation of the feed forward ANN model with back propagation algorithm and the MR model. The FS values predicted from both ANN and MR models were contrasted with those calculated from the simplified method.In additionally, five different performance indices were used to evaluate the predictabilities of the models developed. These performance indices indicated that the ANN models is superior to the MR model in predicting the FS value of the soil.

show abstract

Assessment of liquefaction potential index for Mumbai city

Cited by 69 publications

References 17 publications

Liquefaction Potential of Roorkee Region Using Field and Laboratory Tests

Liquefaction Potential of Roorkee Region Using Field and Laboratory Tests

Land Damage Mapping and Liquefaction Potential Analysis of Soils from the Epicentral Region of 2017 Pohang Mw 5.4 Earthquake, South Korea

The Use of Neural Networks for the Prediction of the Factor of Safety of the Soil Against Liquefaction

Contact Info

Product

Resources

About