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| 1 | Modelling of slope failure by a material instability mechanism显示文摘 | LAOUAFA F DARVE F | 2002 | Computers and Geotechnics2002，29，： | 1 |
| 2 | Modelling of slope failure by a material instability mechanism显示文摘 | Laouafa F Darve F | 2002 | Computers and Geotechnics2002，29，： | 1 |
| 3 | Influence of Water on Rock Discontinuities and Stability of Rock Mass显示文摘 | Sandra Dochez Farid Laouafa Christian Franck Sylvine Guedon Fran?ois Martineau Marion Bost Julie D’Amato | 2013 | Procedia Earth and Planetary Science2013，，： | 1 |
| 4 | Comprehensive evaluation of machine learning algorithms applied to TBM performance prediction显示文摘To date,the accurate prediction of tunnel boring machine(TBM)performance remains a considerable challenge owing to the complex interactions between the TBM and ground.Using evolutionary polynomial regression(EPR)and random forest(RF),this study devel-ops two novel prediction models for TBM performance.Both models can predict the TBM penetration rate and field penetration index as outputs with four input parameters:the uniaxial compressive strength,intact rock brittleness index,distance between planes of weakness,and angle between the tunnel axis and planes of weakness(a).First,the performances of both EPR-and RF-based models are examined by comparison with the conventional numerical regression method(i.e.,multivariate linear regression).Subsequently,the performances of the RF-and EPR-based models are further investigated and compared,including the model robustness for unknown datasets,interior relationships between input and output parameters,and variable importance.The results indicate that the RF-based model has greater prediction accuracy,particularly in identifying outliers,whereas the EPR-based model is more convenient to use by field engineers owing to its explicit expression.Both EPR-and RF-based models can accurately identify the relationships between the input and output param-eters.This ensures their excellent generalization ability and high prediction accuracy on unknown datasets. | Jie Yang Saffet Yagiz Ying-Jing Liu Farid Laouafa | 2022 | Underground Space2022，7，1： | 1 |
| 5 | Modelling of slope failure by a material instability mechanism显示文摘 | Laouafa F Darve F | 2002 | Computers and Geotechnics2002，29，： | 1 |
| 6 | Instabilities in granular materials and application to landslides 显示文摘 | Darve F Laouafa F | 2005 | Mechanics of Co- hesive-Frictional Materials2005，5，8： | 1 |
| 7 | Instabilities in granular materials and application to landslides显示文摘 | DARVE F LAOUAFA F | 2000 | Mechanics of Cohesive-Frictional Materials2000，5，8： | 1 |
| 8 | Failure in geomaterials: continuous and discrete analyses显示文摘 | DARVE F SERVANT G LAOUAFA F | 2004 | Computer Methods in Applied Mechanics and Engineering2004，193，27： | 1 |
| 9 | Instabilities in granular materials and application to landslides显示文摘 | DARVE F LAOUAFA F | 2000 | Mechanics of Cohesive-frictional Materials2000，5，8： | 1 |
| 10 | Modelling of slope failure by a material instability mechanism显示文摘 | LAOUAFA F DARVE F | 2002 | Computers and Geotechnics2002，29，4： | 1 |
| 11 | An intelligent procedure for updating deformation prediction of braced excavation in clay using gated recurrent unit neural networks显示文摘This paper aims to establish an intelligent procedure that combines the observational method with the existing deep learning technique for updating deformation of braced excavation in clay.The gated recurrent unit(GRU) neural network is adopted to formulate the forecast model and learn the potential rules in the field observations using the Nesterov-accelerated Adam(Nadam) algorithm.In the proposed procedure,the GRU-based forecast model is first trained based on the field data of previous and current stages.Then,the field data of the current stage are used as input to predict the deformation response of the next stage via the previously trained GRU-based forecast model.This updating process will loop up till the end of the excavation.This procedure has the advantage of directly predicting the deformation response of unexcavated stages based on the monitoring data.The proposed intelligent procedure is verified on two well-documented cases in terms of accuracy and reliability.The results indicate that both wall deflection and ground settlement are accurately predicted as the excavation proceeds.Furthermore,the advantages of the proposed intelligent procedure compared with the Bayesian/o ptimization updating are illustrated. | Jie Yang Yingjing Liu Saffet Yagiz Farid Laouafa | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 1 |
| 12 | Instabilities in granular materials and application to landslides 显示文摘 | DARVE F LAOUAFA F | 2000 | Mechanics of Cohesive- Frictional Materials2000，5，8： | 1 |
| 13 | Bifurcation modeling in geomaterials: From the second-order work criterion to spectral analyses显示文摘 | PRUNIER F LAOUAFA F LIGNON S | 2009 | International Journal for Numerical and Analytical Methods in Geo- mechanics2009，33，9： | 1 |
| 14 | On 2D approximations for dissolution problems in Hele-Shaw cells显示文摘In this paper, we study the dissolution problems occurring in laterally large 3D systems with very small dimensions along the third coordinate, such as fractures or Hele-Shaw cells. On the basis of the scale separation assumption, we apply upscaling to the 3D pore-scale model using the volume averaging method to develop 2D averaged equations. The influence of the choice of momentum equations on the accuracy of the 2D Hele-Shaw model is discussed, and we show that the results obtained using Darcy-Brinkman equations are better than those obtained using Darcy’s law, because of the consideration of the viscous boundary layer. The validity and accuracy of the resulting 2D model are assessed based on comparisons with full 3D solutions for problems corresponding to the existence of geometrical 3D features to which a simple averaging procedure along a line(i.e., the height of the gap) perpendicular to the 2D plane cannot be applied, such as the dissolution of pillars. The results show that when Péclet and Reynolds numbers exceed certain limits, 3D effects must be considered. Moreover, natural convection effects are important when the Rayleigh number is large. | Jianwei Guo Farid Laouafa Michel Quintard | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，3： | 0 |
| 15 | Multiscale multiphysics modeling in geotechnical engineering显示文摘1 Introduction For geotechnical engineering,numerous applications involve multiscale and multiphysics processes,such as internal erosion,hydraulic fracturing,energy piles,municipal waste disposal,production from unconventional oil and gas reservoirs,heat stimulation and depressurization of natural gas hydrate formation,pavement subjected to heating-cooling cycles. | Zhenyu YIN Qi ZHANG Farid LAOUAFA | 2023 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2023，24，1： | 0 |
| 16 | Modelling and applications of dissolution of rocks in geoengineering显示文摘The subsoil contains many evaporites such as limestone,gypsum,and salt.Such rocks are very sensitive to water.The deposit of evaporites raises questions because of their dissolution with time and the mechanical-geotechnical impact on the neighboring zone.Depending on the configuration of the site and the location of the rocks,the dissolution can lead to surface subsidence and,for instance,the formation of sinkholes and landslides.In this study,we present an approach that describes the dissolution process and its coupling with geotechnical engineering.In the first part we set the physico-mathematical framework,the hypothesis,and the limitations in which the dissolution process is stated.The physical interface between the fluid and the rock(porous)is represented by a diffuse interface of finite thickness.We briefly describe,in the framework of porous media,the steps needed to upscale the microscopic-scale(pore-scale)model to the macroscopic scale(Darcy scale).Although the constructed method has a large range of application,we will restrict it to saline and gypsum rocks.The second part is mainly devoted to the geotechnical consequences of the dissolution of gypsum material.We then analyze the effect of dissolution in the vicinity of a soil dam or slope and the partial dissolution of a gypsum pillar by a thin layer of water.These theoretical examples show the relevance and the potential of the approach in the general framework of geoengineering problems. | Farid LAOUAFA Jianwei GUO Michel QUINTARD | 2023 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2023，24，1： | 0 |
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