2017
DOI: 10.1007/s10064-017-1201-6
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of soil liquefaction potential using energy approach: experimental and statistical investigation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 46 publications
(12 citation statements)
references
References 52 publications
0
7
0
Order By: Relevance
“…Where CRR is the cyclic resistance ratio based on in-situ test data from SPT or CPT tests, and CSR is the cyclic stress ratio (earthquake load) prompted in the soil by seismic tremors. The liquefaction potential index (LPI) evaluates the seriousness of phase transition of soil and consequent surface signs of this physical change, harming this phase change or potential failure of a liquefaction-inclined region [33]. The classification based on the probability of liquefaction by [34] is shown in Table 4.…”
Section: E Liqit Softwarementioning
confidence: 99%
“…Where CRR is the cyclic resistance ratio based on in-situ test data from SPT or CPT tests, and CSR is the cyclic stress ratio (earthquake load) prompted in the soil by seismic tremors. The liquefaction potential index (LPI) evaluates the seriousness of phase transition of soil and consequent surface signs of this physical change, harming this phase change or potential failure of a liquefaction-inclined region [33]. The classification based on the probability of liquefaction by [34] is shown in Table 4.…”
Section: E Liqit Softwarementioning
confidence: 99%
“…The energy-based database was developed by taking in new test results [8,9,12,28], and these tests were undrained with k p = 0. Whether before or post consolidation, relative density is almost the same for saturated sand under undrained conditions.…”
Section: Energy-based Analysis and Database Buildingmentioning
confidence: 99%
“…With all the research mentioned above, the corresponding database of 217 test results was built containing input parameters, such as initial effective mean confining pressure (σ'm0, kPa), Dr0, kp, Cu, and Cc and target parameter Wliq (J/m 3 ). Since the complex nonlinear relationship remains disputable between FC and Wliq [11,15,28], only the data with FC = 0 were chosen to build the database. With all the research mentioned above, the corresponding database of 217 test results was built containing input parameters, such as initial effective mean confining pressure (σ' m0 , kPa), D r0 , k p , C u , and C c and target parameter W liq (J/m 3 ).…”
Section: Mlp-based and Nf-based Nn Modelmentioning
confidence: 99%
“…In more recent studies of soil liquefaction, many scholars have used uniform or uniformly mixed soils as their experimental objects or samples (e.g., Ecemis et al 2015;Mandokhail et al 2017;Javdanian 2019;Dammala et al 2019). In order to determine the liquefaction properties of soils, a number of shaking table liquefaction tests (e.g., Carey et al 2017;Jin et al 2018;Chen et al2019), cyclic triaxial tests (e.g., Pan and Yang 2018;Wang et al 2018) and numerical simulations (e.g., Ye and Wang 2016;Lei and Matthew 2018) were carried out with various forms of soil samples.…”
Section: Introductionmentioning
confidence: 99%