Volume 3, Issue 1 (1-2021)
sjis 2021, 3(1): 21-29 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Gholampour A, Shahsavar J, Johari A. Probabilistic Analysis of Local Liquefaction Potential Based on Spatial Variability of SPT Data. sjis 2021; 3 (1) :21-29
URL: http://sjis.srpub.org/article-5-86-en.html
URL: http://sjis.srpub.org/article-5-86-en.html
Associated Professor, Shiraz University of Technology, Iran.
Abstract: (1443 Views)
In this paper, the spatial distribution of liquefaction potential is estimated using in-situ data from the Standard Penetration Test (SPT). For this purpose, a case study of a liquefiable soil at the Azad University of Qeshm is selected in the numerical modeling. After conducting the site investigation and determining SPT results at four boreholes, two distinct modeling approaches are implemented to evaluate the Liquefaction Potential Index (LPI) at the considered site; In the first method, the conditional random field for SPT data is generated in a layer-by-layer strategy and then, the LPI is obtained using a SPT-based empirical relations at each elemental column. On the other hand, in the second method, the LPI is first determined at each borehole location and then, this parameter is adopted as a stochastic variable in the construction of surficial conditional random field. It can be concluded that both approaches are able to capture the varying severity levels of liquefaction at most locations across the area of study. However, the comparison shows that using the first approach results in a more fluctuated LPI results with almost the same extremum values.
Type of Study: Research |
Subject:
Geotechnical Engineering and Engineering Geology
Received: 2020/11/5 | Revised: 2021/01/17 | Accepted: 2021/01/25 | Published: 2021/01/30
Received: 2020/11/5 | Revised: 2021/01/17 | Accepted: 2021/01/25 | Published: 2021/01/30
References
1. Kasebzadeh J, Noorzad A, Mahboubi A, Manafi, M. Evaluation of liquefaction triggering considering the pertinent uncertainties. Int Conf Civ Eng Archit Urban Sustain Dev. 2013; Tabriz, Iran.
2. Kasebzadeh J, Noorzad, A. Liquefaction potential reduction near existing lifelines and residential buildings. Sec Natl Conf Disast Manag Lifelin Minist Inter. 2013; Tehran, Iran.
3. Shahsavar J, Gholampour A. Spatial probability distribution of liquefaction potential using conditional random field. Int Conf Smart City, 2019; Apadana Institute of Higher Education, Shiraz, Iran.
4. Johari A, Khodaparast AR. Modelling of probability liquefaction based on standard penetration tests using the jointly distributed random variables method. Elsevier Eng Geol. 2013; 158: 1-14. [DOI:10.1016/j.enggeo.2013.02.007]
5. Hsein Juang C, Caroline J. Chen, Tao Jiang, Ronald D. Andrus, Risk-based liquefaction potential evaluation using standard penetration tests. Can Sci Publ J. 2000; 37. [DOI:10.1139/t00-064]
6. Johari A, Khodaparast AR, Javadi AA. An analytical approach to probabilistic modeling of liquefaction based on shear wave velocity. Iran J Sci Tech Trans Civ Eng. 2019; 43: 263-275. [DOI:10.1007/s40996-018-0163-7]
7. Rezania, Javadi, Giustolisi. Evaluation of liquefaction potential based on CPT results using evolutionary Polynomial regression. Elsevier Comput Geotech. 2010; 37: 82-92. [DOI:10.1016/j.compgeo.2009.07.006]
8. Jennifer A. Lenz, Laurie G. Baise. Spatial variability of liquefaction potential in regional mapping using CPT and SPT data. Elsevier Soil Dynam Earthquake Eng. 2007; 27(7): 690-702. [DOI:10.1016/j.soildyn.2006.11.005]
9. Md Manzur Rahman. Foundation design using standard penetration test (SPT) N-value. Bangladesh Water Development Board. 2020; https://www.researchgate.net/publication/318110370
10. Wazoh HN, Mallo SJ. Standard penetration test in engineering geological site investigations - A review. Int J Eng Sci. 2014; ISSN: 2319-1805.
11. Seed HB, Idriss IM. Simplified procedure for evaluating soil liquefaction potential. J Soil Mech Found Div. 1985; ASCE 1971; 97(SM9): 1249-1273. [DOI:10.1061/JSFEAQ.0001662]
12. Yousefzadeh Fard M, Babazadeh M, Yousefzadeh P. Soil liquefaction analysis based on geotechnical exploration and in situ test data in the Tabriz Metro Line 2. Seven Int Conf Case Hist Geotech Eng. 2013; Missouri University of Science and Technology.
13. Youd TL, Idriss IM. Liquefaction resistance of soils: Summary report from the 1996 NCEER and 1998 NCEER/NSF workshops on evaluation of liquefaction resistance of soils. J Geotech Geoenviron Eng. 2001; ISSN: 1943-5606. [DOI:10.1061/(ASCE)1090-0241(2001)127:4(297)]
14. Johari A, Khodaparast AR. Analytical reliability assessment of liquefaction potential based on cone penetration test results. Sci Iranica Trans Civ Eng. 2014; 21(5): 1549.
15. Johari A, Javadi AA, Makiabadi MH, Khodaparast AR. Reliability assessment of liquefaction potential using the jointly distributed random variables method. Elsevir Soil Dynam Earthquake Eng. 2012; 38: 81-87. [DOI:10.1016/j.soildyn.2012.01.017]
16. Johari A, Pour JR, Javadi A. Reliability analysis of static liquefaction of loose sand using the random finite element method. Eng Comput. 2015; 32(7). [DOI:10.1108/EC-07-2014-0152]
17. Hanna AM, Ural D, Saygili G. Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquake data. Elsevir Soil Dynam Earthquake Eng, 2007; 27: 521-540. [DOI:10.1016/j.soildyn.2006.11.001]
18. Johari A, Rahnema H, Feilinejad A, Fotovat A. A comparative study in reliability analysis of liquefaction potential of layered soil. Int Conf Civ Eng Architect Dev Reconstr Urban Infrastruct. 2020; Tehran, Iran.
19. Sonmez H. Modification of the liquefaction potential index and liquefaction susceptibility mapping for a liquefaction-prone area (Inegol, Turkey). Int J Geosci Environ Geol. 2003; 44(7): 862-871. [DOI:10.1007/s00254-003-0831-0]
20. Luna R, Frost JD. Spatial liquefaction analysis system. J Comput Civ Eng. 1998; 12(1): 48-56. [DOI:10.1061/(ASCE)0887-3801(1998)12:1(48)]
21. Johari A, Gholampour A. A practical approach for reliability analysis of unsaturated slope by conditional random finite element method. Elsevier Comput Geotech. 2018; 102: 79-91. [DOI:10.1016/j.compgeo.2018.06.004]
22. Wang C, Chen Q, Shen M, Juang CH. On the spatial variability of CPT-based geotechnical parameters for regional liquefaction evaluation. Elsevier Soil Dynam Earthquake, 2017; 153-166. [DOI:10.1016/j.soildyn.2017.02.001]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |