A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests.

*(English)*Zbl 1273.74294Summary: This paper presents a numerical procedure of material parameter identification for the coupled hydro-mechanical boundary value problem (BVP) of the self-boring pressuremeter test (SBPT) in clay. First, the neural network (NN) technique is applied to obtain an initial estimate of model parameters, taking into account the possible drainage conditions during the expansion test. This technique is used to avoid potential pitfalls related to the conventional gradient-based optimization techniques, considered here as a corrector that improves predicted parameters. Parameter identification based on measurements obtained through the pressuremeter expansion test and two types of holding tests is illustrated on the Modified Cam clay model. NNs are trained using a set of test samples, which are generated by means of finite element simulations of SBPT. The measurements obtained through expansion and consolidation tests are normalized so that NN predictors operate independently of the testing depth. Examples of parameter determination are demonstrated on both numerical and field data. The efficiency of the combined parameter identification in terms of accuracy, effectiveness and computational effort is also discussed.

##### MSC:

74L10 | Soil and rock mechanics |

74G75 | Inverse problems in equilibrium solid mechanics |

74S30 | Other numerical methods in solid mechanics (MSC2010) |

##### Keywords:

parameter identification; neural networks; self-boring pressuremeter; modified cam clay; soft clay deposit##### Software:

UCODE
PDF
BibTeX
XML
Cite

\textit{R. F. Obrzud} et al., Int. J. Numer. Anal. Methods Geomech. 33, No. 6, 817--849 (2009; Zbl 1273.74294)

Full Text:
DOI

##### References:

[1] | Yu, The first James K. Mitchell lecture: in situ soil testing: from mechanics to interpretation, Geomechanics and Geoengineering 1 (3) pp 165– (2006) |

[2] | Jamiolkowski M, Ladd CC, Germaine JT, Lancellotta R. New developments in field and laboratory testing of soils. Proceedings of the 11th ICSMFE, San Francisco, vol. 1, 1985; 57-153. |

[3] | Graham, The 2003 R.M. Hardy lecture: soil parameters for numerical analysis in clay, Canadian Geotechnical Journal 43 pp 187– (2006) |

[4] | Wroth CP, Hughes JMO. An instrument for the in situ measurement of the properties of soft clays. 8th ICSMFE, Moscow, vol. 2, 1973; 487-494. |

[5] | Baguelin, The Pressuremeter and Foundations Engineering (1978) |

[6] | Clarke BG, Carter JP, Wroth CP. In situ determination of the consolidation characteristics of saturated clays. Proceedings of the 7th ECSM, Brighton, vol. 2, 1979; 207-213. |

[7] | Wroth, The interpretation of in situ soil tests, Géotechnique 34 (4) pp 449– (1984) |

[8] | Vaid, Time dependent behavior of undisturbed clay, Journal of Geotechnical Engineering 103 (7) pp 693– (1977) |

[9] | Penumadu, Strain-rate effects in pressuremeter testing using a cuboidal shear device: experiments and modeling, Canadian Geotechnical Journal 35 pp 27– (1998) |

[10] | Anderson, Rate effect in pressuremeter tests in clays, Journal of the Geotechnical Engineering 113 (11) pp 1344– (1987) |

[11] | Fioravante, An analysis of pressuremeter holding tests, Géotechnique 44 pp 227– (1994) |

[12] | Fukagawa, Effect of partial drainage on pressuremeter test in clay, Soils and Foundations 30 (4) pp 134– (1990) |

[13] | Rangeard, Determining soil permeability from pressuremeter tests, International Journal for Numerical and Analytical Methods in Geomechanics 27 pp 1– (2003) |

[14] | Anandarajah, Computer-aided calibration of soil plasticity model, International Journal for Numerical and Analytical Methods in Geomechanics 15 pp 835– (1991) · Zbl 0850.73366 |

[15] | Obrzud, Constitutive model calibration supported by artificial intelligence, International Journal for Numerical and Analytical Methods in Geomechanics (2008) · Zbl 1272.74463 |

[16] | Flood, Neural networks in civil engineering. I: Principles and understanding, Journal of Computing in Civil Engineering 8 (2) pp 131– (1994) |

[17] | Fahey M, Carter JP. Some effects of rate of loading and drainage on pressuremeter tests in clays. Proceedings of the Specialty Geomechanics Symposium, Adelaide, vol. 1, 1986; 50-55. |

[18] | Gibson, In-situ measurements of soil properties with the pressuremeter, Civil Engineering and Public Works Review 56 (658) pp 615– (1961) |

[19] | Prévost, Analysis of pressuremeter in strain-softening soil, Journal of Geotechnical Engineering 101 (GT8) pp 717– (1975) |

[20] | Denby, Self-boring pressuremeter tests in clay, Journal of Geotechnical Engineering 106 (GT12) pp 1369– (1980) |

[21] | Bolton, A non-linear elastic/perfectly plastic analysis for plane strain undrained expansion tests, Géotechnique 49 (1) pp 133– (1999) |

[22] | Palmer, Undrained plane strain expansion of a cylindrical cavity in clay: simple interpretation of the pressuremeter test, Géotechnique 22 (3) pp 451– (1972) |

[23] | Ladanyi, In-situ determination of undrained stress-strain behaviour of sensitive clays with the pressuremeter, Canadian Geotechnical Journal 9 pp 313– (1972) |

[24] | Baguelin, Expansion of cylindrical probes in cohesive soils, Journal of Soil Mechanics and Foundation Division 98 (SM11) pp 1129– (1972) |

[25] | Collins, Undrained cavity expansion in critical state soils, International Journal for Numerical and Analytical Methods in Geomechanics 20 pp 489– (1996) · Zbl 0885.73065 |

[26] | Cao, Undrained cavity expansion in modified cam clay: theoretical analysis, Géotechnique 51 (4) pp 323– (2001) |

[27] | Randolph, An analytical solution for the consolidation around a driven pile, International Journal for Numerical and Analytical Methods in Geomechanics 3 pp 217– (1979) · Zbl 0404.73092 |

[28] | Carter, Stress and pore pressure changes in clay during and after the expansion of a cylindrical cavity, International Journal for Numerical and Analytical Methods in Geomechanics 3 pp 305– (1979) · Zbl 0407.73084 |

[29] | Roscoe, Engineering Plasticity pp 535– (1968) |

[30] | Z_Soil.PC 2003. User Manual: Soil, Rock and Structural Mechanics in Dry or Partially Saturated Media, ZACE Services Ltd, Software engineering, Lausanne, 2003. |

[31] | Yu, Analysis of pressuremeter geometry effects in clay using critical state models, International Journal for Numerical and Analytical Methods in Geomechanics 29 pp 845– (2005) · Zbl 1105.74306 |

[32] | Poeter EP, Hill MC. Documentation of UCODE, a computer code for universal inverse modeling. US Geological Survey Water-Resources Investigations Report 98-4080, 1998. |

[33] | Haykin, Neural Networks. A Comprehensive Foundation (1999) |

[34] | Ghaboussi, Knowledge-based modeling of material behavior with neural networks, Journal of Engineering Mechanics 117 pp 132– (1991) |

[35] | Kurup, Neural networks for profiling stress history of clays from PCPT data, Journal of Geotechnical and Geoenvironmental Engineering 128 (7) pp 569– (2002) |

[36] | Kim, Proceedings of the ISC-2 on Geotechnical and Geophysical Site Characterization pp 957– (2004) |

[37] | Mayoraz, Neural networks for slope movement prediction, International Journal of Geomechanics 2 (2) pp 153– (2002) |

[38] | Jan, Neural network forecast model in deep excavation, Journal of Computing in Civil Engineering 16 (1) pp 59– (2002) |

[39] | Ding, ISC-2 on Geotechnical and Geophysical Site Characterization pp 889– (2004) |

[40] | Najjar, On the identification of compaction characteristics by neuronets, Computers and Geotechnics 18 (3) pp 167– (1996) |

[41] | Shin, Identification of elastic constants for orthotropic materials from a structural test, Computers and Geotechnics 30 (7) pp 571– (2003) |

[42] | Samarajiva, Genetic algorithms for the calibration of constitutive models for soils, International Journal of Geomechanics 5 (3) pp 206– (2005) |

[43] | Levasseur, Soil parameter identification using a genetic algorithm, International Journal for Numerical and Analytical Methods in Geomechanics 32 (2) pp 189– (2008) · Zbl 1273.74265 |

[44] | Rumelhart, Parallel Distributed Processing pp 287– (1986) |

[45] | Bishop, Neural Networks for Pattern Recognition (1995) |

[46] | Mayne, Ko -OCR relationship in soils, Journal of Geotechnical Engineering 108 (6) pp 851– (1982) |

[47] | Dascal, Caractéristique de compressibilité des argiles du complex Nottaway-Broadback-Rupert (Baie James), Canadian Geotechnical Journal 10 (1) pp 41– (1973) |

[48] | Dzwilewski, Consolidation properties of Wilkinson basin soils, Journal of Geotechnical Engineering 100 (GT10) pp 1175– (1974) |

[49] | Rendon-Herrero, Universal compression index equation, Journal of Geotechnical Engineering 106 (GT11) pp 1179– (1980) |

[50] | Krizek, Probabilistic analysis of predicted and measured settlements, Canadian Geotechnical Journal 14 (1) pp 17– (1977) |

[51] | Leroueil, Propriétés caractéristiques des argiles de l’est du Canada, Canadian Geotechnical Journal 20 (4) pp 681– (1983) |

[52] | Mayne, Cam-Clay predictions of undrained strength, Journal of Geotechnical Engineering 106 (GT11) pp 1219– (1980) |

[53] | Sivakumar, Relationship between Ko and overconsolidation ratio: a theoretical approach, Géotechnique 52 (3) pp 225– (2001) |

[54] | Chang, Critical state strength parameters of saturated clays from the modified Cam Clay model, Canadian Geotechnical Journal 36 pp 876– (1999) |

[55] | Nagaraj, Analysis of compressibility of sensitive soils, Journal of Geotechnical Engineering 116 (1) pp 105– (1990) |

[56] | Leroueil, Tenth Canadian geotechnical colloquium: recent developments in consolidation of natural clays, Canadian Geotechnical Journal 25 pp 85– (1988) |

[57] | Zentar, Identification of soil parameters by inverse analysis, Computers and Geotechnics 28 pp 124– (2001) |

[58] | Baecher, Reliability and Statistics in Geotechnical Engineering pp 177– (2003) |

[59] | Fioravante V. Interpretation of self-boring tests in clay with particular reference to holding tests. Ph.D. Thesis, Technical University of Turin, 1988. |

[60] | Burghignoli A, Cavalera L, Chieppa V, Jamiolkowski M, Mancuso C, Marchetti S, Pane V, Paoliani P, Silvestri F, Vinale F, Viettori E. Geotechnical characterization of Fucino clay. Proceedings of the 10th ECSM, Florence, vol. 1, 1991; 27-40. |

This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.