Reliability analysis of shallow tunnels using the response surface methodology

Abstract A probabilistic study of a circular tunnel excavated in a soil mass using the response surface methodology (RSM) is presented. A deterministic model based on two-dimensional numerical simulations in a transversal section is used, and the serviceability limit state (SLS) is considered in the analysis. The model permits the surface settlement curve and the bending moment on the tunnel lining to be obtained. Only the soil parameters are considered as random variables. The first-order reliability method (FORM) and the response surface methodology (RSM) are utilized for the assessment of the Hasofer-Lind reliability index (βHL) optimized by the use of a genetic algorithm (GA). Two assumptions (normal and non-normal distribution) were used for the random variables. The comparison analysis considering a correlation between the friction angle and the cohesion indicates that the results are conservative if a negative correlation among strength parameters is not taken into account. The assumption of a non-normal distribution for the random variables has an important effect on the reliability index for the practical range of values of surface settlements.

[1]  D. Dias,et al.  Probabilistic analysis of piled earth platform under concrete floor slab , 2017 .

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

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

[4]  Daniel Dias,et al.  Impact of constitutive models on the numerical analysis of underground constructions , 2008 .

[5]  G. Box,et al.  On the Experimental Attainment of Optimum Conditions , 1951 .

[6]  Bak Kong Low,et al.  FORM, SORM, and spatial modeling in geotechnical engineering , 2014 .

[7]  Qiujing Pan,et al.  Sliced inverse regression-based sparse polynomial chaos expansions for reliability analysis in high dimensions , 2017, Reliab. Eng. Syst. Saf..

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

[9]  Daniel Dias,et al.  Movements caused by the excavation of tunnels using face pressurized shields — Analysis of monitoring and numerical modeling results , 2013 .

[10]  Abdul-Hamid Soubra,et al.  Reliability-based analysis of strip footings using response surface methodology , 2008 .

[11]  David Mašín,et al.  Comparison of displacement field predicted by 2D and 3D finite element modelling of shallow NATM tunnels in clays , 2011 .

[12]  Wengang Zhang,et al.  Evaluating stability of underground entry-type excavations using multivariate adaptive regression splines and logistic regression , 2017 .

[13]  A. M. Hasofer,et al.  Exact and Invariant Second-Moment Code Format , 1974 .

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

[15]  W. Tang,et al.  Reliability analysis using object-oriented constrained optimization , 2004 .

[16]  Daniel Dias,et al.  Validation of a New 2D Failure Mechanism for the Stability Analysis of a Pressurized Tunnel Face in a Spatially Varying Sand , 2011 .

[17]  Gordon A. Fenton,et al.  Bearing Capacity Prediction of Spatially Random � , 2022 .

[18]  Lin Shen,et al.  Reliability analysis of tunnels using a metamodeling technique based on augmented radial basis functions , 2016 .

[19]  Salim Belhadi,et al.  Analysis and optimization of hard turning operation using cubic boron nitride tool , 2014 .

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

[21]  E. Hoek Support for very weak rock associated with faults and shear zones , 2018, Rock Support and Reinforcement Practice in Mining.

[22]  Ove Ditlevsen,et al.  Uncertainty modeling with applications to multidimensional civil engineering systems , 1981 .

[23]  Wengang Zhang,et al.  Regression models for estimating ultimate and serviceability limit states of underground rock caverns , 2015 .

[24]  Sam Kwong,et al.  Genetic algorithms and their applications , 1996, IEEE Signal Process. Mag..

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

[26]  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 .

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

[28]  Hongwei Huang,et al.  Improved shield tunnel design methodology incorporating design robustness , 2015 .

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

[30]  Qiujing Pan,et al.  An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation , 2017 .

[31]  Xiang Li,et al.  A hybrid approach combining uniform design and support vector machine to probabilistic tunnel stability assessment , 2016 .

[32]  Wengang Zhang,et al.  Predictive models of ultimate and serviceability performances for underground twin caverns , 2016 .

[33]  Daniel Dias,et al.  Continuous velocity fields for collapse and blowout of a pressurized tunnel face in purely cohesive soil , 2013 .

[34]  Bak Kong Low,et al.  Reliability analysis of reinforced embankments on soft ground , 1997 .

[35]  Abdul-Hamid Soubra,et al.  Probabilistic Analysis and Design of Circular Tunnels against Face Stability , 2009 .

[36]  Liang Li,et al.  Reliability back analysis of shear strength parameters of landslide with three-dimensional upper bound limit analysis theory , 2016, Landslides.

[37]  Bak Kong Low,et al.  Reliability-based design applied to retaining walls , 2005 .

[38]  R. Rackwitz,et al.  Structural reliability under combined random load sequences , 1978 .

[39]  Zhi-Peng Xiao,et al.  Reliability based design optimization for a rock tunnel support system with multiple failure modes using response surface method , 2017 .

[40]  D. Dias,et al.  Probabilistic Analysis of Pressurized Tunnels against Face Stability Using Collocation-Based Stochastic Response Surface Method , 2011 .

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

[42]  Jean-Pierre Janin Tunnels en milieu urbain : Prévisions des tassements avec prise en compte des effets des pré-soutènements (renforcement du front de taille et voûte-parapluie) , 2012 .

[43]  Daniel Dias,et al.  Probabilistic analyses of tunneling-induced ground movements , 2013 .

[44]  Irini Djeran-Maigre,et al.  2D Tunnel Numerical Investigation: The Influence of the Simplified Excavation Method on Tunnel Behaviour , 2014, Geotechnical and Geological Engineering.

[45]  Michael Frueh Reliability Based Design In Civil Engineering , 2016 .

[46]  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..

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

[48]  Daniel Dias,et al.  Range of the Safe Retaining Pressures of a Pressurized Tunnel Face by a Probabilistic Approach , 2013 .

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

[50]  Daniel Dias,et al.  Rotational failure mechanisms for the face stability analysis of tunnels driven by a pressurized shield , 2011 .

[51]  Daniel Dias,et al.  South Toulon tube: 3D numerical back-analysis on in situ measurements , 2014 .