An optimization procedure for the soil behavior identification using pressuremeter results
Tóm tắt
The soil parameters identification procedure is usually a trade-off between sophisticated soil model behaviour and the large number of parameters to identify. Such procedure that can accomplish both of these objectives is highly desirable, but also difficult. This paper presents a methodology for identifying soil parameters that takes into account different constitutive equations. For identifying the generalized Prager model parameters, associated to the Drucker and Prager failure criterion, using an in-situ pressuremeter curve, we have proposed a procedure that is based on an approach of inverse analysis. This approach involves the minimizing the function representing the area between the experimental curve and the simulated curve, obtained by fit in the model along the in-situ loading path. A comparative study between two optimization processes is proposed. The first is based on the technique of the simplex by Nelder and Mead, while the second is based on the decomposition of the pressuremeter curve in three distinct areas. After a brief description of an existing computer program called Press-Sim, which has been written in Fortran for analyzing a cavity expansion using the finite element method, a short explanation is given about the two optimization procedures considered in this article. Then, for a chosen site where soil strength parameters are measured, the comparative study has been performed for both methods at four different depths. For the determination of the angle of friction, the two procedures yield very close values and are in a good agreement with that given by the triaxial test, while for the cohesion, they both diverge from each other on both sides of the value measured by the trial test.
Từ khóa
Tài liệu tham khảo
Rashed A, Bazaz JB, Alavi AH (2012) Nonlinear modeling of soil deformation modulus through LGP-based interpretation of pressuremeter test results. Eng Appl Artif Intell 25:1437–1449
Mousavi SM, Alavi AH, Mollahasani A, Gandomi AH (2011) A hybrid computational approach to formulate soil deformation moduli obtained from PLT. Eng Geol 123:324–332
Al-Zubaidi RM (2015) A new approach for interpretation strength sensitivity to in pressuremeter testing. Arab J Geosci 33(4):813–832
Cambou B, Boubanga A, Bozetto P, Haghgou M (1990) Determination of constitutive parameters from pressuremeters tests. In: 3rd Symp. pressuremeter and its marine applications, Oxford University, pp 243–352
Carter JP, Booker JR, Yeung SK (1986) Cavity expansion in frictional cohesive soils. Géotechnique 36(3):349–358
Cudmani R, Osinov VA (2001) The cavity expansion problem for the interpretation of cone penetration and pressuremeter tests. Can Geotech J 38(3):622–638
Fahey M, Carter JP (1993) A finite element study of the pressuremeter test in sand using a nonlinear elastic plastic model. Can Geotech J 30(2):348–362
Hsieh YM, Whittle AJ, Yu HS (2002) Interpretation of pressuremeter tests in sand using advanced soil model. ASCE J Geotech Geoenviron Eng 128(3):274–278
Javadi AA, Rezania M (2009) Applications of artificial intelligence and data mining techniques in soil modelling. Geomech Eng 01:53–74
Levasseur S (2008) Soil parameter identification using a genetic algorithm. Int J Numer Anal Methods Geomech 32(2):189–213
Levasseur S, Malecot Y, Boulon M, Flavigny E (2010) Statistical inverse analysis based on genetic algorithm and principal component analysis: applications to excavation problems and pressuremeter tests. Int J Numer Anal Methods Geomech 34:471–491
Liang RY, Sharo A (2010) Numerical investigation of the pressuremeter results affected by anisotropy of geomaterials. In: GeoFlorida 2010: advances in analysis, modeling & design, pp 1090–1098
Olivari G, Bahar R (1995) Response of generalized Prager’s model on pressuremeter path. In: Proceedings of the 4th international symposium on pressuremeters, A. A. Balkema, Sherbrooke, Canada, pp 207–213
Shahin MA, Jaksa MB, Maier HR (2008) State of the art of artificial neural networks in geotechnical engineering. Electron J Geotech Eng 8:1–26
Yu HS, Houlsby GT (1991) Finite cavity expansion in dilatant soils: loading analysis. Géotechnique 41(2):173–183
Yu HS, Houlsby GT (1995) A large strain analytical solution for cavity contraction in dilatant soils. Int J Numer Anal Methods Geomech 19(11):793–811
Zanier F (1985) Analyse numérique de l’essai pressiométrique par la méthode des éléments finis-Application au cas des sols cohérents. Thèse de Docteur-Ingénieur, Ecole Centrale de Lyon, France
Zhang Y, Gallipoli D, Augarde CE (2009) Simulation-based calibration of geotechnical parameters using parallel hybrid moving boundary particle swarm optimization. Comput Geotech 36:604–615
Zhang Y, Gallipoli D, Augarde C (2013) Parameter identification for elasto-plastic modelling of unsaturated soils from pressuremeter tests by parallel modified particle swarm optimization. Comput Geotech 48:293–303
Abed Y, Bahar R (2010) Pressuremeter identification procedure based on generalised Prager model. Medwell J Eng Appl Sci 5(2):50–55
Abed Y, Bahar R, Dupla J-C, Amar Bouzid DJ (2014) Identification of granular soils strength and stiffness parameters by matching finite element results to PMT data. Int J Comput Methods 2(2):231–253
Nelder J, Mead R (1965) A simplex method for function minimization. Comput J 7(4):308–313
Boubanga A (1990) Identification de paramètres de comportement des sols à partir de l’essai préssiométrique. Thèse de Doctorat, Ecole Centrale de Lyon, France
Bahar R, Abed Y, Olivari G (1999) Theoretical analysis of the behavior of clays around pressuremter. In: Proc. 12th Regional Conf. Africa on Soil Mech. Geotech. Eng., Durban, South Africa, pp 135–141
Drucker DC, Prager W (1952) Soil mechanics and plastic analysis on limit design. J Appl Math 10:157–165
Chen WF, Mizuno E (1990) Non linear analysis in soil mechanics, theory and implementation. Elsevier, Amesterdam
Clarke BG (1995) Pressuremeters in geotechnical design. Blackie Academic and Professional, London
Abed Y, Amar Bouzid DJ, Bahar R, Toumi I (2016) Parameters identification of granular soils around PMT tests by inverse analysis. In: Advances in civil, environmental, and materials research world congress (ACEM 16). Jeju island, Korea, August 28–Septembre 1, 2016
Sigismond J, Dupas JM, Lefebvre A (1983) La craie à Nogent-sur-Seine. Rev Fr Géotech 23:5–17