Genetic programming model for estimating soil suction in shallow soil layers in the vicinity of a tree
Tài liệu tham khảo
Alemdag, 2016, Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming, Eng. Geol., 203, 70, 10.1016/j.enggeo.2015.12.002
An, 2017, Numerical analysis of soil volumetric water content and temperature variations in an embankment due to soil-atmosphere interaction, Comput. Geotech., 83, 40, 10.1016/j.compgeo.2016.10.010
ASTM (International Association for Testing Materials) D2487-11, 2011
Au, 1998, Rain-induced slope instability in Hong Kong, Eng. Geol., 51, 1, 10.1016/S0013-7952(98)00038-6
Bobylev, 2009, Mainstreaming sustainable development into a city’s Master plan: a case of urban underground space use, Land Use Policy, 26, 1128, 10.1016/j.landusepol.2009.02.003
Broere, 2016, Urban underground space: solving the problems of today’s cities, Tunn. Undergr. Space Technol., 55, 245, 10.1016/j.tust.2015.11.012
Cannavó, 2012, Sensitivity analysis for volcanic source modeling quality assessment and model selection, Comput. Geosci., 44, 52, 10.1016/j.cageo.2012.03.008
Castellanza, 2018, A methodological approach to assess the hazard of underground cavities subjected to environmental weathering, Tunn. Undergr. Space Technol., 82, 278, 10.1016/j.tust.2018.08.041
Chan, 2000, Variance based methods, 167
Cramer, 1985, A representation for the adaptive generation of simple sequential programs, 183
Crawford, 2019, Long-term landslide monitoring using soil-water relationships and electrical data to estimate suction stress, Eng. Geol., 251, 146, 10.1016/j.enggeo.2019.02.015
Cui, 2010, Simulating the water content and temperature changes in an experimental embankment using meteorological data, Eng. Geol., 114, 456, 10.1016/j.enggeo.2010.06.006
Cui, 2013, Experimental and numerical investigation of soil-atmosphere interaction, Eng. Geol., 165, 20, 10.1016/j.enggeo.2012.03.018
Cukier, 1973, Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I theory, J. Chem. Phys., 59, 3873, 10.1063/1.1680571
Dai, 2015, Variance-based global sensitivity analysis for multiple scenarios and models with implementation using sparse grid collocation, J. Hydrol., 528, 286, 10.1016/j.jhydrol.2015.06.034
Damiano, 2012, Steep-slope monitoring in unsaturated pyroclastic soils, Eng. Geol., 137–138, 1, 10.1016/j.enggeo.2012.03.002
Das, 2018, Stochastic hydro-mechanical stability of vegetated slopes: An integrated copula based framework, Catena, 160, 124, 10.1016/j.catena.2017.09.009
Faradonbeh, 2016, Genetic programming and gene expression programming for flyrock assessment due to mine blasting, Int. J. Rock Mech. Min. Sci., 88, 254, 10.1016/j.ijrmms.2016.07.028
Feng, 2019, Analytical solutions for one-dimensional water flow in vegetated layered soil, Int. J. Geomech., 19, 10.1061/(ASCE)GM.1943-5622.0001343
Gadi, 2018, Modeling soil-plant-water interaction: Effects of canopy and root parameters on soil suction and stability of green infrastructure, Eng. Comput., 35, 1543, 10.1108/EC-07-2017-0280
Gadi, 2019, Relating stomatal conductance and surface area with evapotranspiration induced suction in a heterogeneous grass cover, J. Hydrol., 568, 867, 10.1016/j.jhydrol.2018.11.048
Garg, 2014, Estimation of pore water pressure of soil using genetic programming, Geotech. Geol. Eng., 32, 765, 10.1007/s10706-014-9755-6
Garg, 2014, A multi-gene genetic programming model for estimating stress-dependent soil water retention curves, Comput. Geosci., 18, 45, 10.1007/s10596-013-9381-z
Garg, 2015, A new simulation approach of genetic programming in modelling of soil water retention property of unsaturated soil, Eng. Comput., 32, 914, 10.1108/EC-05-2014-0110
Garg, 2019, A simplified probabilistic analysis of water content and wilting in soil vegetated with non-crop species, Catena, 175, 123, 10.1016/j.catena.2018.12.016
Garg, 2019, Influence of biochar addition on gas permeability in unsaturated soil, Géotech. Lett., 9, 66, 10.1680/jgele.18.00190
Glossary of Meteorology, 2000, Rain
Güllü, 2012, Prediction of peak ground acceleration by genetic expression programming and regression: a comparison using likelihood-based measure, Eng. Geol., 141–142, 92, 10.1016/j.enggeo.2012.05.010
He, 2019, Estimation of failure probability in braced excavation using Bayesian networks with integrated model updating, Undergr. Space., 10.1016/j.undsp.2019.07.001
He, 2012, Quantitative research on the capacity of urban underground space – the case of Shanghai, China, Tunn. Undergr. Space Technol., 32, 168, 10.1016/j.tust.2012.06.008
Hemmati, 2012, Thermal-hydro-mechanical modelling of soil settlements induced by soil-vegetation-atmosphere interactions, Eng. Geol., 139–140, 1, 10.1016/j.enggeo.2012.04.003
Hossain, 2010, Behavior of a compacted completely decomposed granite soil from suction controlled direct shear tests, J. Geotech. Geoenviron., 136, 189, 10.1061/(ASCE)GT.1943-5606.0000189
Jain, 2004, Analysis of soil water retention data using artificial neural networks, J. Hydraul. Eng., 9, 415
Johari, 2018, An approach to estimate wetting path of soil–water retention curve from drying path, Iran. J. Sci. Technol. Trans. Civil Eng., 42, 85, 10.1007/s40996-017-0074-z
Johari, 2015, Prediction of soil-water characteristic curve using gene expression programming, Trans. Civil Eng., 39, 143
Jin, 2019, Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method, Acta Geotech., 14, 1925, 10.1007/s11440-019-00847-1
Jin, 2019, Bayesian model selection for sand with generalization ability evaluation, Int. J. Numer. Anal. Methods Geomech., 43, 2305, 10.1002/nag.2979
Johari, 2006, Prediction of soil-water characteristic curve using genetic programming, J. Geotech. Geoenviron., 132, 661, 10.1061/(ASCE)1090-0241(2006)132:5(661)
Kalnins, 2018, Multicollinearity: how common factors cause Type 1 errors in multivariate regression, Strateg. Manag., 39, 2362, 10.1002/smj.2783
Kassim, 2012, Modeling of suction distributions in an unsaturated heterogeneous residual soil slope, Engineering., 131–132, 70
Kim, 2004, Influence of rainfall-induced wetting on the stability of slopes in weathered soils, Eng. Geol., 75, 251, 10.1016/j.enggeo.2004.06.017
Kim, 2017, Rainfall-induced landslides by deficit field matric suction in unsaturated soil slopes, Environ. Earth Sci., 76, 10.1007/s12665-017-7127-2
Koza, 1992
Kucherenko, 2007, The importance of being global, 4
Lee, 2009, A simple model for preliminary evaluation of rainfall-induced slope instability, Eng. Geol., 108, 272, 10.1016/j.enggeo.2009.06.011
Leung, 2015, Effects of plant roots on soil-water retention and induced suction in vegetated soil, Eng. Geol., 193, 183, 10.1016/j.enggeo.2015.04.017
Likos, 2014, Hysteresis and uncertainty in soil water-retention curve parameters, J. Geotech. Geoenviron., 140, 1, 10.1061/(ASCE)GT.1943-5606.0001071
Lim, 1996, Effect of rainfall on matric suctions in a residual soil slope, Can. Geotech. J., 33, 68, 10.1139/t96-087
Liu, 2018, Analytical solutions of pore-water pressure distributions in a vegetated multi-layered slope considering the effects of roots on water permeability, Comput. Geotech., 102, 252, 10.1016/j.compgeo.2018.06.003
Lumb, 1962, Effects of rain storms on slope stability, 73
Mehr, 2018, Season algorithm-multigene genetic programming: a new approach for rainfall-runoff modelling, Water Resour. Manag., 32, 2665, 10.1007/s11269-018-1951-3
Met Office, 2007
Miao, 2002, Research of soil–water characteristics and shear strength features of Nanyang expansive soil, Eng. Geol., 65, 261, 10.1016/S0013-7952(01)00136-3
Mousavi, 2011, A hybrid computational approach to formulate soil deformation moduli obtained from PLT, Eng. Geol., 123, 324, 10.1016/j.enggeo.2011.09.005
Ng, 2015, Analytical solutions for calculating pore-water pressure in an infinite unsaturated slope with different root architectures, Can. Geotech. J., 52, 1981, 10.1139/cgj-2015-0001
Ni, 2018, Modelling hydro-mechanical reinforcements of plants to slope stability, Comput. Geotech., 95, 99, 10.1016/j.compgeo.2017.09.001
Ni, 2018, Variance-based global sensitivity analysis for power systems, IEEE Trans. Power Syst., 33, 1670, 10.1109/TPWRS.2017.2719046
Nowamooz, 2016, Effective stress in swelling soils during wetting drying cycles, Eng. Geol., 210, 33, 10.1016/j.enggeo.2016.05.021
Poli, 2008
Prah, 2015, A multigene genetic programming model for thyroid disorder detection, Appl. Math. Sci., 9, 6707
Prasad, 1988, A linear root water uptake model, J. Hydrol., 99, 297, 10.1016/0022-1694(88)90055-8
Ridley, 2003, Soil matrix suction: some examples of its measurement and application in geotechnical engineering, Géotechnique., 53, 241, 10.1680/geot.2003.53.2.241
Saltelli, 2000, Sensitivity analysis
Saltelli, 1995, About the use of rank transformation in sensitivity analysis of model output, Reliab. Eng. Syst. Saf., 50, 225, 10.1016/0951-8320(95)00099-2
Searson, 2010, GPTIPS: An opensource genetic programming toolbox for multigene symbolic regression, I, 77
Shahin, 2015, Genetic programming for modelling of geotechnical engineering systems
Shahnazari, 2010, Numerical modeling of stress–strain behavior of sand under cyclic loading, Eng. Geol., 116, 53, 10.1016/j.enggeo.2010.07.007
Sobol', 1990, On sensitivity estimation for nonlinear mathematical models, Matematicheskoe Modelirovanie, 2, 112
Sobol', 1993, Sensitivity estimates for nonlinear mathematical models, Math. Model. Comput. Exp., 1, 407
Sobol’, 2001, Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Math. Comput. Simul., 55, 271, 10.1016/S0378-4754(00)00270-6
Su, 2006, Integration of construction as-built data via laser scanning with geotechnical monitoring of urban excavation, J. Constr. Eng. Manag., 132, 1234, 10.1061/(ASCE)0733-9364(2006)132:12(1234)
Sudret, 2008, Global sensitivity analysis using polynomial chaos expansions, Reliab. Eng. Syst. Saf., 93, 964, 10.1016/j.ress.2007.04.002
Tan, 2018, Effect of loading duration on uncertainty in creep analysis of clay, Int. J. Numer. Anal. Methods Geomech., 42, 1235, 10.1002/nag.2788
Tu, 2009, Field monitoring of rainfall infiltration in a loess slope and analysis of failure mechanism of rainfall-induced landslides, Eng. Geol., 105, 134, 10.1016/j.enggeo.2008.11.011
Wang, 2018, Finding patterns in subsurface using Bayesian machine learning approach, Undergr. Space.
Weyl, 1938, Mean motion, Am. J. Math., 60, 889, 10.2307/2371267
Zhang, 2013, Prediction of tunnel displacement induced by adjacent excavation in soft soil, Tunn. Undergr. Space Technol., 36, 24, 10.1016/j.tust.2013.01.011
Zhao, 2019, Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement, J. Mater. Civ. Eng., 31, 1, 10.1061/(ASCE)MT.1943-5533.0002850
Zhou, 2016, Study of the volumetric water content based on density, suction and initial water content, Measurement, 94, 531, 10.1016/j.measurement.2016.08.034
Zhou, 2017, Computation of coupled effects of root and shoot characteristics on transpiration based on optimization approach, Eng. Comput., 34, 725, 10.1108/EC-05-2016-0177
Zhou, 2019, Field monitoring of suction in vicinity of an urban tree: exploring termite infestation and the shading effects of tree canopy, Acta Geotech.
Zhou, 2018, Model updating and uncertainty analysis for creep behavior of soft soil, Comput. Geotech., 100, 135, 10.1016/j.compgeo.2018.04.006
Zhu, 2018, Investigating plant transpiration-induced soil suction affected by root morphology and root depth, Comput. Geotech., 103, 26, 10.1016/j.compgeo.2018.06.019