Back analysis of model parameters in geotechnical engineering by means of soft computing. (English) Zbl 1062.74567

Summary: A parameter identification (PI) method for determination of unknown model parameters in geotechnical engineering is proposed. It is based on measurement data provided by the construction site. Model parameters for finite element (FE) analyses are identified such that the results of these calculations agree with the available measurement data as well as possible. For determination of the unknown model parameters, use of an artificial neural network (ANN) is proposed. The network is trained to approximate the results of FE simulations. A genetic algorithm (GA) uses the trained ANN to provide an estimate of optimal model parameters which, finally, has to be assessed by an additional FE analysis. The presented mode of PI renders back analysis of model parameters feasible even for large-scale models as used in geotechnical engineering. The advantages of theoretical developments concerning both the structure and the training of the ANN are illustrated by the identification of material properties from experimental data. Finally, the performance of the proposed PI method is demonstrated by two problems taken from geotechnical engineering. The impact of back analysis on the actual construction process is outlined.


74L10 Soil and rock mechanics
74G75 Inverse problems in equilibrium solid mechanics
74S05 Finite element methods applied to problems in solid mechanics
Full Text: DOI


[1] Sakurai, Rock Mechanics and Rock Engineering 16 pp 173– (1983)
[2] Gioda, International Journal for Numerical and Analytical Methods in Geomechanics 11 pp 555– (1987)
[3] Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley: Reading, MA, 1989. · Zbl 0721.68056
[4] Ohkami, Computers and Geotechnics 21 pp 255– (1997)
[5] Swoboda, International Journal for Numerical and Analytical Methods in Geomechanics 23 pp 1455– (1999)
[6] Ohkami, Computers and Geotechnics 24 pp 279– (1999)
[7] Mahnken, International Journal of Plasticity 12 pp 451– (1995)
[8] Theorie der neuronalen Netze: eine systematische Einf?hrung. Springer-Verlag: Berlin, 1996. (in German).
[9] Sterpi, International Journal for Numerical and Analytical Methods in Geomechanics 23 pp 1427– (1999)
[10] Regueiro, Finite Elements in Analysis and Design 33 pp 283– (1999)
[11] Modeling of shear failure of soil: application to the excavation of tunnels. In CD-ROM Proceedings of the 2nd European Conference on Computational Mechanics, et al. (eds). Cracow, Poland, 2001.
[12] Macromodelling of softening in non-cohesive soils. In Continuous and Discontinuous Modelling of Cohesive-Frictional Materials, Lecture Notes in Physics, vol. 568, (eds).Springer: Berlin, 2001; 89-108.
[13] Vermeer, HERON 29 pp 3– (1984)
[14] Practical Guide to Grouting of Underground Structures. ASCE Press: New York, USA, 1996.
[15] State of the art of the jet grouting method in Germany. In Proceedings of the 4th Pacific Rim International Conference on Water Jet Technology, Shimizu, Japan, 1995.
[16] Jet-grouted cantilever wall for slope stability. In Grouts and Grouting: A Potpourri of Projects, Geotechnical Special Publications, vol. 80. (eds). ASCE: 1998; 31-42.
[17] Evaluation of properties of soilcrete by means of back analysis: combination of in-situ temperature measurements and a thermochemical material law. In Proceedings of the 1st MIT Conference on Computational Fluid and Solid Mechanics, (ed.). Elsevier Science Ltd.: Oxford, 2001; 1281-1284.
[18] Brandst?tter, Bauingenieur 77 pp 51– (2002)
[19] Hellmich, Computational Mechanics 24 pp 238– (1999)
[20] Ulm, Journal of Engineering Mechanics 121 pp 785– (1995)
[21] Freiesleben Hansen, Nordisk Bentong 1 pp 21– (1977)
[22] Heat and Mass Transfer. Springer-Verlag: Berlin-G?ttingen-Heidelberg, 1998.
[23] Heat Transfer: A Basic Approach. McGraw-Hill: London, 1985. · Zbl 0583.76001
[24] Heat Conduction (2nd edn). Hemisphere Publishing Corporation: New York, USA, 1985.
[25] Heat Transfer. McGraw-Hill: London. 1977.
[26] Plain concrete at early ages. Technical report. Swedish Cement and Concrete Research Institute, Stockholm, Sweden, 1980.
[27] Rokahr, Felsbau 15 pp 430– (1997)
[28] Hellmich, Computers and Structures 79 pp 2103– (2001)
[29] Lackner, Engineering Fracture Mechanics 70 pp 1047– (2003)
[30] Les Inequations en Mechanique et en Physique [The inequations in mechanics and physics]. Dunod: Paris, 1972 (in French).
[31] Lackner, International Journal for Numerical Methods in Engineering 53 pp 2357– (2002)
[32] Origin of Species. Modern Library, Random House: 1995.
[33] Gupta, Omega (The International Journal of Management Science) 27 pp 679– (1999)
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. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.