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Landslide stability analysis with the use of the design of experiments method – case study of souk ahras, Algeria

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the northeast of Algeria, Souk Ahras area is known for the severity and spread of landslides, especially in Mechroha and Zaarouria municipalities. Stability analysis of landslides in these areas depends on the calculations of safety factor according to several parameters (physical, mechanical, geological…). The aim of this study is to investigate the parameters affecting the safety factor using the design of experiments (DOE) method, central composite design (CCD) and response surfaces methodology (RSM). These methods use parameter modeling and optimization to discuss a solution of landslide hazard by developing models of safety factor (Fs) considered as response. The other parameters adopted as input independent factors are geotechnical physical and mechanical parameters such as: the dry and wet unit weight (γd, γh), the water content (w), the plasticity and liquidity limits and the plasticity index (WL, WP, IP), the percentage of fine elements Ff (%) < 0.08 mm), the cohesion C and the internal friction angle (Phi). Obtained results show high correlations with a regression coefficient R2 of 0.88 and 0.93 in the two cases study and the predicted factor of safety model fit best to those obtained in the analytical and numerical modeling procedure. The final model is applicable to give reliable results on the safety factor of landslides.
Rocznik
Tom
Strony
137--150
Opis fizyczny
Biblogr. 22 poz., rys., tab.
Twórcy
autor
  • Faculty of Earth Sciences, Badji Mokhtar Annaba University, Algeria
  • Mining Institute, Larbi Tebessi University, Tebessa, Algeria
  • Larbi Tebessi University, Tebessa, Algeria
  • Department of Geology, University of Tebessa, Algeria
autor
  • Faculty of Earth Sciences, Badji Mokhtar Annaba University, Algeria
Bibliografia
  • Abdelouahhab M., Manar S., Benhida R. 2022. Optimization and evaluation of the effect of impurities on phosphoric acid process performance using design of experiments. Results in Engineering, 15, 100501.
  • Berrah Y., Brahmi S., Charef N., Boumezbeur A. 2021. Swelling Clay Parameters Investigation Using Design of Experiments (A Case Study). Engineering Geology. IntechOpen.
  • Bland J.M., Altman D.G. 1996. Measurement error and correlation coefficients. BMJ: British Medical Journal, 313(7048), 41.
  • Box G.E. 1952. Multi-factor designs of first order. Biometrika, 39(1–2), 49–57.
  • Charef N., Berrah Y., Boumezbeur A. 2019. Contribution Parametric Optimization Study of Landslides Movements Using Statistical Tools in the Region of Souk Ahras (Algeria). In: Conference of the Arabian Journal of Geosciences. Springer, Cham, 27–29.
  • Deming S.N., Morgan S.L. 1996. Experimental design: achemo-metricapproach. Elsevier.
  • Donald I.B., Chen Z. 1997. Slope stability analysis by the upper bound approach: Fundamentals and methods. Can. Geotech. J., 34(6), 853–862.
  • Draper N.R. 1992. Introduction to Box and Wilson (1951) on the experimental attainment of optimum conditions. In: Breakthroughs in Statistics. Springer, New York, NY, 267–269.
  • Fisher R.A. 1935. The design of experiments. Haffner Press, New York.
  • GEO-SLOPE International. 2008. Stability modeling with SLOPE/W 2007. An engineering methodology, 3rd ed. Calgary, AB, Canada.
  • Gueciouer D., Youcef G., Tarek N. 2022. Rheological and mechanical optimization of a steel fiber reinforced self-compacting concrete using the design of experiments method. European Journal of Environmental and Civil Engineering, 26(3), 1097–1117.
  • Gurrala P.K., Regalla S.P. 2014. DOE based parametric study of volumetric change of FDM parts. Procedia Materials Science, 6, 354–360.
  • Khuri A.I., Cornell J.A. 2018. Response surfaces. Designs and analyses: revised and expanded. CRC Press.
  • Kostić S., Vasović N., Sunarić D. 2016. Slope stability analysis based on experimental design. International Journal of Geomechanics, 16(5), 04016009.
  • Li D.Q., Zheng D., Cao Z.J., Tang X.S., Phoon K.K. 2016. Response surface methods for slope reliability analysis: review and comparison. Engineering Geology, 203, 3–14.
  • Mir Mohammad Hosseini F., Ebadi T., Eslami A., Mir Mohammad Hosseini S.M., Jahangard H.R. 2019. Investigation into geotechnical properties of clayey soils contaminated with gasoil using Response Surface Methodology (RSM). Scientia Iranica, 26(3), 1122–1134.
  • Murray P.M., Bellany F., Benhamou L., Bučar D.K., Tabor A.B., Sheppard T.D. 2016. The application of design of experiments (DoE) reaction optimisation and solvent selection in the development of new synthetic chemistry. Organic and Biomolecular Chemistry, 14(8), 2373–2384.
  • Nearing M.A., Simanton J.R., Norton L.D., Bulygin S.J., Stone J. 1999. Soil erosion by surface water flow on a stony, semiarid hillslope. Earth Surface Processes and Landforms. The Journal of the British Geomorphological Research Group, 24(8), 677–686.
  • Porter S.C., Verseput R.P., Cunningham C.R. 1997. Process optimization using design of experiments. Pharmaceutical Technology, 21(10), 60–71.
  • Tinsson W. 2010. Plans d’expérience: constructions et analyses statistiques. Springer Science and Business Media, 67.
  • Turkane S.D., Chouksey S.K. 2022. Application of response surface method for optimization of stabilizer dosages in soil stabilization. Innovative Infrastructure Solutions, 7(1).
  • Zangeneh N., Azizian A., Lye L., Popescu R. 2002. Application of response surface methodology in numerical geotechnical analysis. Proc. 55th Canadian Society for Geotechnical Conference, Hamilton.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bff63588-fbe6-4221-85c9-82516a09674d
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