A Practical Indirect Back Analysis Approach for Geomechanical Parameters Identification

References

• Cai , M. , H. Morioka , P. K. Kaiser . 2007 . Back-analysis of rock mass strength parameters using AE monitoring data . International Journal of Rock Mechanics and Mining Sciences 44 ( 4 ): 538 – 549 .
   Web of Science ®Google Scholar
• Cividini , A. 1988 . Parameter estimation of a static geotechnical model using a Bayes approach . International Journal of Rock Mechanics and Mining Sciences 20 ( 5 ): 215 – 226 .
   Google Scholar
• Dunca Fama, M. E. 1993 . Numerical modeling of yield zones in weak rocks . In Comprehensive Rock Engineering , Vol. 2 , edited by J. A. Hudson , 49 – 75 . Oxford : Pergamon .
   Google Scholar
• Fakhimi , A. , D. Salehi , and N. Mojtabai . 2004 . Numerical back analysis for estimation of soil parameters in the Resalat Tunnel project . Tunnelling and Underground Space Technology 19 ( 1 ): 57 – 67 .
   Web of Science ®Google Scholar
• Feng , Z. L. and R. W. Lewis . 1987 . Optimal estimation of in situ ground stresses from displacement measurements . International Journal for Numerical and Analytical Methods in Geomechanics 11 : 391 – 408 .
   Web of Science ®Google Scholar
• Feng , X.-T. , H. Zhao , and S. Li . 2004 . A new displacement back analysis to identify mechanical geo-material parameters based on hybrid intelligent methodology . International Journal for Numerical and Analytical Method in Geomechanics 28 : 1141 – 1165 .
   Web of Science ®Google Scholar
• Ghorbani , M. and M. Sharifzadeh . 2009 . Long-term stability assessment of Siah Bisheh powerhouse cavern based on displacement back analysis method . Tunnelling and Underground Space Technology 24 ( 5 ): 574 – 583 .
   Web of Science ®Google Scholar
• Gioda , G. and G. Maier . 1980 . Direct search solution of an inverse problem in elastoplasticity: Identification of cohesion, friction angle and in situ stress by pressure tunnel tests . International Journal of Numerical Method in Engineering 15 : 1823 – 1848 .
   Web of Science ®Google Scholar
• Gioda , G. and S. Sakurai . 1987 . Back analysis procedures for the interpretation of field measurements in geomechanics . International Journal for Numerical and Analytical Methods in Geomechanics 16 : 555 – 583 .
   Google Scholar
• Hisatake , M. and Y. Hieda . 2008 . Three-dimensional back-analysis method for the mechanical parameters of the new ground ahead of a tunnel face . Tunneling and Underground Space Technology 23 ( 4 ): 373 – 380 .
   Web of Science ®Google Scholar
• Kaiser , P. K. , D. Zou , and P. A. Lang . 1990 . Stress determination by back analysis of excavation-induced stress changes – a case study . Rock Mechanics and Rock Engineering 23 ( 3 ): 185 – 200 .
   Web of Science ®Google Scholar
• Miranda , T. , D. Dias , and S. Eclaircy-Caudron . 2011 . Back analysis of geomechanical parameters by optimization of a 3D model of an underground structure . Tunnelling and Underground Space Technology 26 : 659 – 673 .
   Web of Science ®Google Scholar
• Okabe , T. 1998 . Inverse of drilling-induced tensile fracture data obtained from a single inclined borehole . International Journal of Rock Mechanics and Mining Sciences 35 ( 6 ): 747 – 758 .
   Web of Science ®Google Scholar
• Oreste , P. 2005 . Back-analysis techniques for the improvement of the understanding of rock in underground constructions . Tunnelling and Underground Space Technology 20 ( 1 ): 7 – 21 .
   Web of Science ®Google Scholar
• Pichler , B. , R. Lackner , and H. A. Mang . 2003 . Back analysis of model parameters in geotechnical engineering by means of soft computing . International Journal for Numerical Methods in Engineering 57 : 1943 – 1978 .
   Web of Science ®Google Scholar
• Rechea , C. , S. Levasseur , and R. Finno . 2008 . Inverse analysis techniques for parameter identification in simulation of excavation support systems . Computers and Geotechnics 35 : 331 – 345 .
   Web of Science ®Google Scholar
• Sakurai , S. , S. Akutagawa , and O. Tokudome . 1995 . Back analysis of non-elastic strains based on the minimum norm solution . Journal of JSCE 517 ( III-31 ): 197 – 202 .
   Google Scholar
• Sakurai , S. and K. Takeuchi . 1983 . Back analysis of measured displacements of tunnels . Rock Mechanics and Rock Engineering 16 : 173 – 180 .
   Web of Science ®Google Scholar
• Shang , Y. J. , J. G. Cai , W. D. Hao , X. Y. Wu , and S. H. Lia . 2002. Intelligent back analysis of displacements using precedent type analysis for tunneling. Tunnelling and Underground Space Technology 17(4): 381–389.
   Web of Science ®Google Scholar
• Suykens , J. A. K. and J. Vandewalle . 1999 . Least squares support vector machine classifiers . Neural Processing Letters 9 ( 3 ): 293 – 300 .
   Web of Science ®Google Scholar
• Tang , Y.-G. and G. T.-C. Kung . 2009 . Application of nonlinear optimization technique to back analyses of deep excavation . Computers and Geotechnics 36 ( 1–2 ): 276 – 290 .
   Web of Science ®Google Scholar
• Vardakos , S. S. , M. S. Gutierrez , and N. R. Barton . 2007 . Back-analysis of Shimizu Tunnel No. 3 by distinct element modeling . Tunnelling and Underground Space Technology 22 ( 4 ): 401 – 413 .
   Web of Science ®Google Scholar
• Vardakos , S. S., M. S. Gutierrez , and C. C. Xia . 2012 . Parameter identification in numerical modeling of tunneling using the Differential Evolution Genetic Algorithm (DEGA) . Tunnelling and Underground Space Technology 28 : 109 – 123 .
   Web of Science ®Google Scholar
• William , W. G. Y. 1981 . Aquifer parameter identification with optimum dimension in parameterization . Water Resources Research 17 ( 3 ): 664 – 672 .
   Web of Science ®Google Scholar
• Zhang , L. Q. , Z. Q. Yue , Z. F. Yang , J. X. Qi , and F. C. Liu . 2006 . A displacement-based back-analysis method for rock mass modulus and horizontal in situ stress in tunneling illustrated with a case study . Tunnelling and Underground Space Technology 21 ( 6 ): 636 – 649 .
   Web of Science ®Google Scholar
• Zhang , S. and S. Yin . 2013 . Reservoir geomechanical parameters identification based on ground surface movements . Acta Geotechnica 8 : 279 – 292 .
   Web of Science ®Google Scholar
• Zhao , H.-B. and S. Yin . 2009 . Geomechanical parameters identification by particle swarm optimization and support vector machine . Applied Mathematical Modeling 33 : 3997 – 4012 .
   Web of Science ®Google Scholar
• Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/UMGT
   Google Scholar