Moving least squares method for reliability assessment of rock tunnel excavation considering ground-support interaction

Abstract A practical approach is proposed in this paper for the reliability assessment of rock tunnel excavations using the moving least squares method (MLSM) and the uniform design. The failure probability is computed by the first-order and the second-order reliability method (FORM/SORM), which is based on the generated MLSM response surface (MLSM-RS) via an iterative algorithm. The proposed approach is first implemented in the analysis of a circular tunnel that consists of three limit state functions to illustrate the efficiency and accuracy of the approach. Then, the method is applied to a non-circular tunnel to demonstrate the feasibility and validity of the method for practical problems, in which numerical procedures are commonly employed to solve the implicit limit state functions.

[1]  Mehmet Sari,et al.  The stochastic assessment of strength and deformability characteristics for a pyroclastic rock mass , 2009 .

[2]  W. Tang,et al.  Efficient Spreadsheet Algorithm for First-Order Reliability Method , 2007 .

[3]  Anthony T. C. Goh,et al.  Reliability assessment of stability of underground rock caverns , 2012 .

[4]  Soo-Chang Kang,et al.  An efficient response surface method using moving least squares approximation for structural reliability analysis , 2010 .

[5]  Peng Zeng,et al.  Reliability Analysis of Circular Tunnel Face Stability Obeying Hoek-Brown Failure Criterion Considering Different Distribution Types and Correlation Structures , 2016, J. Comput. Civ. Eng..

[6]  Bak Kong Low,et al.  Probabilistic analysis of underground rock excavations using response surface method and SORM , 2011 .

[7]  Philippe Beillas,et al.  Comparison of Kriging and Moving Least Square Methods to Change the Geometry of Human Body Models. , 2015, Stapp car crash journal.

[8]  Bak Kong Low,et al.  Reliability analysis of circular tunnel under hydrostatic stress field , 2010 .

[9]  A. Kiureghian,et al.  Second-Order Reliability Approximations , 1987 .

[10]  Carlos M Carranza-Torres,et al.  Elasto-plastic solution of tunnel problems using the generalized form of the hoek-brown failure criterion , 2004 .

[11]  Bak Kong Low,et al.  Practical second‐order reliability analysis applied to foundation engineering , 2012 .

[12]  Pierpaolo Oreste,et al.  Analysis of the Tunnel-Support Interaction Through a Probabilistic Approach , 2015 .

[13]  Sai Hung Cheung,et al.  Stochastic sampling using moving least squares response surface approximations , 2012 .

[14]  Hongping Zhu,et al.  Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation , 2016 .

[15]  E. Hoek,et al.  Empirical estimation of rock mass modulus , 2006 .

[16]  Pierpaolo Oreste,et al.  Analysis of structural interaction in tunnels using the covergence–confinement approach , 2003 .

[17]  Wilson H. Tang,et al.  Reliability evaluation of idealized tunnel systems , 1992 .

[18]  Abdul-Hamid Soubra,et al.  Probabilistic Analysis of Circular Tunnels in Homogeneous Soil Using Response Surface Methodology , 2009 .

[19]  Evert Hoek,et al.  Big Tunnels in Bad Rock , 2001 .

[20]  Jian-hui Jiang,et al.  Uniform design applied to nonlinear multivariate calibration by ANN , 1998 .

[21]  Pierpaolo Oreste,et al.  A probabilistic design approach for tunnel supports , 2005 .

[22]  Anthony T. C. Goh,et al.  Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns , 2012 .

[23]  E. Hoek Reliability of Hoek-Brown estimates of rock mass properties and their impact on design , 1998 .

[24]  C. Manohar,et al.  Applications of Meta-Models in Finite Element Based Reliability Analysis of Engineering Structures , 2009 .

[25]  Evert Hoek,et al.  HOEK-BROWN FAILURE CRITERION - 2002 EDITION , 2002 .

[26]  N. Vlachopoulos,et al.  Improved Longitudinal Displacement Profiles for Convergence Confinement Analysis of Deep Tunnels , 2009 .

[27]  Benjamin Richard,et al.  A response surface method based on support vector machines trained with an adaptive experimental design , 2012 .

[28]  Peng Zeng,et al.  An approximation to the reliability of series geotechnical systems using a linearization approach , 2014 .

[29]  Jian Li,et al.  Doubly weighted moving least squares and its application to structural reliability analysis , 2012 .

[30]  Hongbo Zhao Slope reliability analysis using a support vector machine , 2008 .

[31]  Bak Kong Low,et al.  Probabilistic evaluation of ground-support interaction for deep rock excavation using artificial neural network and uniform design , 2012 .

[32]  Jie Zhang,et al.  Robust geotechnical design of shield-driven tunnels , 2014 .

[33]  Ramana V. Grandhi,et al.  Reliability-based Structural Design , 2006 .

[34]  C. Fairhurst,et al.  APPLICATION OF THE CONVERGENCE-CONFINEMENT METHOD OF TUNNEL DESIGN TO ROCK MASSES THAT SATISFY THE HOEK-BROWN FAILURE CRITERION , 2000 .

[35]  Xibing Li,et al.  Structural reliability analysis for implicit performance functions using artificial neural network , 2005 .

[36]  E. T. Brown,et al.  Ground Response Curves for Rock Tunnels , 1983 .

[37]  Zekai Şen,et al.  Probabilistic Horizontal Stress Ratios in Rock , 2002 .

[38]  Taho Yang,et al.  Simulation metamodel development using uniform design and neural networks for automated material handling systems in semiconductor wafer fabrication , 2007, Simul. Model. Pract. Theory.

[39]  P. Villon,et al.  Moving least squares response surface approximation: Formulation and metal forming applications , 2005 .

[40]  Bak Kong Low,et al.  Reliability analysis of ground–support interaction in circular tunnels using the response surface method , 2011 .

[41]  Michael A. Hicks,et al.  Comparative analyses of slope reliability in 3D , 2015 .

[42]  João Cardoso,et al.  Review and application of Artificial Neural Networks models in reliability analysis of steel structures , 2015 .

[43]  Bak Kong Low,et al.  System Reliability Assessment for a Rock Tunnel with Multiple Failure Modes , 2013, Rock Mechanics and Rock Engineering.

[44]  H. Gao,et al.  Probabilistic approaches to estimating variation in the mechanical properties of rock masses , 1995 .

[45]  Wilson H. Tang,et al.  Efficient system reliability analysis illustrated for a retaining wall and a soil slope , 2011 .

[46]  Hongbo Zhao,et al.  Reliability analysis of tunnel using least square support vector machine , 2014 .

[47]  Kyung K. Choi,et al.  A new response surface methodology for reliability-based design optimization , 2004 .

[48]  Herbert H. Einstein,et al.  Reliability analysis of roof wedges and rockbolt forces in tunnels , 2013 .

[49]  John Hadjigeorgiou,et al.  Uncertainty and Sources of Error in Rock Engineering , 2011 .

[50]  Ming Cai,et al.  Rock Mass Characterization and Rock Property Variability Considerations for Tunnel and Cavern Design , 2011 .