Updating the models and uncertainty of mechanical parameters for rock tunnels using Bayesian inference
Tài liệu tham khảo
Adoko, 2017, Bayesian prediction of TBM penetration rate in rock mass, Eng. Geol., 226, 245, 10.1016/j.enggeo.2017.06.014
Beck, 2002, Bayesian updating of structural models and reliability using Markov Chain Monte Carlo simulation, J. Eng. Mech., 128, 380, 10.1061/(ASCE)0733-9399(2002)128:4(380)
Beck, 1998, Updating models and their uncertainties. Part I: Bayesian statistical framework, J. Eng. Mech., 124, 455, 10.1061/(ASCE)0733-9399(1998)124:4(455)
Cao, 2016, Quantification of prior knowledge in geotechnical site characterization, Eng. Geol., 203, 107, 10.1016/j.enggeo.2015.08.018
Chen, 2003, 92
Cheung, 2009, Bayesian model updating using hybrid Monte Carlo simulation with application to structural dynamic models with many uncertain parameters, J. Eng. Mech., 135, 243, 10.1061/(ASCE)0733-9399(2009)135:4(243)
Jardine, R.J., Potts, D.M., Higgins, K.G., Chowdhury, R., Zhang S., Flentje, P., 2004. Reliability updating and geotechnical back-analysis, in: Proc., Advances in Geotechnical Engineering: The Skempton Conf. Thomas Telford Limited, London, 29-31 March 2004, Volume 2, 815-821.
Collins, 1974, Statistical identification of structures, AIAA J., 12, 185, 10.2514/3.49190
DiazDelaO, 2017, Bayesian updating and model class selection with subset simulation, Comput. Methods Appl. Mech. Engrg., 317, 1102, 10.1016/j.cma.2017.01.006
Engelund, 1998, A probabilistic model for chloride-ingress and initiation of corrosion in reinforced concrete structures, Struct. Saf., 20, 69, 10.1016/S0167-4730(97)00022-2
Fahimifar, 2010, Analytical solution for the excavation of circular tunnels in a visco-elastic Burger’s material under hydrostatic stress field, Tunn. Undergr. Space Technol., 25, 297, 10.1016/j.tust.2010.01.002
Feng, 2015, Predicting tunnel squeezing with incomplete data using Bayesian Networks, Eng. Geol., 195, 214, 10.1016/j.enggeo.2015.06.017
Feng, 2015, Estimation of deformation modulus of rock masses based on Bayesian model selection and Bayesian updating approach, Eng. Geol., 199, 19, 10.1016/j.enggeo.2015.10.002
Feng, 2019, Prediction of time-dependent tunnel convergences using a Bayesian updating approach, Tunn. Undergr. Space Technol., 94, 103118, 10.1016/j.tust.2019.103118
Feng, 2004, A new displacement back analysis to identify mechanical geomaterial parameters based on hybrid intelligent methodology, Int. J. Numer. Anal. Methods Geomech., 28, 1141, 10.1002/nag.381
Ferrero, 2013, In-situ stress measurements interpretations in large underground marble quarry by 3D modeling, Int. J. Rock Mech. Min. Sci., 60, 103, 10.1016/j.ijrmms.2012.12.008
Gelman, 2013
Geyskens, 1998, Bayesian prediction of elastic modulus of concrete, J. Struct. Eng., 124, 89, 10.1061/(ASCE)0733-9445(1998)124:1(89)
Gilbert, 1998, Uncertainty in back analysis of slopes: Kettleman Hills case history, J. Geotech. Geoenviron. Eng., 124, 1167, 10.1061/(ASCE)1090-0241(1998)124:12(1167)
Gioda, 1981, Numerical identification of soil structure interaction pressures, Int. J. Numer. Anal. Methods Geomech., 5, 33, 10.1002/nag.1610050105
Goodman, 1989
Jiang, 2020, Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment, Eng. Geol., 271, 105597, 10.1016/j.enggeo.2020.105597
Kelly, 2015, Bayesian updating for one-dimensional consolidation measurements, Can. Geotech. J., 52, 1318, 10.1139/cgj-2014-0338
Lee, 2012
Li, 2020, Bayesian approach for sequential probabilistic back analysis of uncertain geomechanical parameters and reliability updating of tunneling-induced ground settlements, Adv. Civ. Eng.
Li, 2017, Predicting rock burst hazard with incomplete data using Bayesian networks, Tunn. Undergr. Spacce Technol., 61, 61, 10.1016/j.tust.2016.09.010
Li, 2013, Slope reliability analysis by updated support vector machine and Monte Carlo simulation, Nat. Hazards, 65, 707, 10.1007/s11069-012-0396-x
Li, 2016, Identifying geomechanical parameters of high cut rock slopes by an improved multi-output support vector machine method, Environ. Earth Sci., 75, 673, 10.1007/s12665-016-5491-y
Luckman, 1987, Use of stochastic stability analysis for Bayesian back calculation of pore pressures acting in a cut at failure
Lynch, 2007
Malakoff, 1999, Bayes offers a ‘new’ way to make sense of numbers, Science, 286, 1460, 10.1126/science.286.5444.1460
Oreste, 2005, Back analysis techniques for the improvement of the understanding of rock in underground constructions, Tunn. Undergr. Space Technol., 20, 7, 10.1016/j.tust.2004.04.002
Pant, M., Guenot, A., 1982. Analysis of convergence behind the face of a tunnel, in: Proceedings of the 3rd International Symposium, Brighton, England, pp. 197-204.
Papadimitriou, 2001, Updating robust reliability using structural test data, Probab. Eng. Mech., 16, 103, 10.1016/S0266-8920(00)00012-6
Papaioannou, 2012, Reliability updating in geotechnical engineering including spatial variability of soil, Comput. Geotech., 42, 44, 10.1016/j.compgeo.2011.12.004
Park, 2005, Probabilistic analysis of rock slope stability and random properties of discontinuity parameters, Interstate Highway 40, Western North Carolina, USA. Eng. Geol., 79, 230, 10.1016/j.enggeo.2005.02.001
Peck, 1969, Advantages and limitations of the observational method in applied soil mechanics, Géotechnique, 19, 171, 10.1680/geot.1969.19.2.171
Pichler, 2003, Back analysis of model parameters in geotechnical engineering by means of soft computing, Int. J. Numer. Methods Eng., 57, 1943, 10.1002/nme.740
Sakurai, 1983, Back analysis of measured displacements of tunnels, Rock Mech. Rock Eng., 16, 173, 10.1007/BF01033278
Straub, 2010, Bayesian network enhanced with structural reliability methods: Application, J. Eng. Mech., 136, 1259, 10.1061/(ASCE)EM.1943-7889.0000170
Sun, 2019, Bayesian updating for progressive excavation of high rock slopes using multi-type monitoring data, Eng. Geol., 252, 1, 10.1016/j.enggeo.2019.02.013
Tuia, 2011, Multi output support vector regression for remote sensing biophysical parameter estimation, IEEE Geosci. Remote Sens. Lett., 8, 804, 10.1109/LGRS.2011.2109934
Vardakos, 2012, Parameter identification in numerical modeling of tunneling using the Differential Evolution Genetic Algorithm DEGA, Tunn. Undergr. Space Technol., 28, 109, 10.1016/j.tust.2011.10.003
Wang, 2013, Probabilistic back analysis of slope failure – A case study in Taiwan, Comput. Geotech., 51, 12, 10.1016/j.compgeo.2013.01.008
Yu, 2007, An intelligent displacement back–analysis method for earth–rockfill dams, Comput. Geotech., 34, 423, 10.1016/j.compgeo.2007.03.002
Zhang, 2010, Micro-porosity structure of coarse granular soils, J. Geotech. Geoenviron. Eng., 136, 1425, 10.1061/(ASCE)GT.1943-5606.0000348
Zhang, 2010, Efficient probabilistic back–analysis of slope stability model parameters, J. Geotech. Geoenviron. Eng., 136, 99, 10.1061/(ASCE)GT.1943-5606.0000205
Zhang, 2012, Characterising geotechnical model uncertainty by hybrid Markov Chain Monte Carlo simulation, Comput. Geotech., 43, 26, 10.1016/j.compgeo.2012.02.002
Zhang, 2013, Probabilistic parameter estimation and predictive uncertainty based on field measurements for unsaturated soil slope, Comput. Geotech., 48, 72, 10.1016/j.compgeo.2012.09.011
Zhao, 2015, A practical indirect back analysis approach for geomechanical parameters identification, Mar. Geores. Geotechnol., 33, 212, 10.1080/1064119X.2013.836258
Zhao, 2009, Geomechanical parameters identification by particle swarm optimization and support vector machine, Appl. Math. Model., 33, 3997, 10.1016/j.apm.2009.01.011
Zhao, 2016, Inverse analysis of geomechanical parameters by the artificial bee colony algorithm and multi-output support vector machine, Inverse Probl. Sci. Eng., 24, 1266, 10.1080/17415977.2016.1178257
Zheng, 1998, Role of non-destructive evaluation in time-dependent reliability analysis, Struct. Saf., 20, 325, 10.1016/S0167-4730(98)00021-6