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| 1 | Generalized non-linear strength theory and transformed stress space显示文摘Based on the test data of frictional materials and previous research achievements in this field, a generalized non-linear strength theory (GNST) is proposed. It describes non-linear strength properties on the π-plane and the meridian plane using a unified formula, and it includes almost all the present non-linear strength theories, which can be used in just one material. The shape of failure function of the GNST is a smooth curve between the SMP criterion and the Mises criterion on the π-plane, and an exponential curve on the meridian plane. Through the transformed stress space based on the GNST, the combination of the GNST and various constitutive models using p and q as stress parameters can be realized simply and rationally in three-dimensional stress state. | YAO Yangping LU Dechun ZHOU Annan ZOU Bo | 2004 | Science China(Technological Sciences)2004，47，6： | 57 |
| 2 | Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms显示文摘This paper introduces an intelligent framework for predicting the advancing speed during earth pressure balance(EPB)shield tunnelling.Five artificial intelligence(AI)models based on machine and deep learning techniques-back-propagation neural network(BPNN),extreme learning machine(ELM),support vector machine(SVM),long-short term memory(LSTM),and gated recurrent unit(GRU)-are used.Five geological and nine operational parameters that influence the advancing speed are considered.A field case of shield tunnelling in Shenzhen City,China is analyzed using the developed models.A total of 1000 field datasets are adopted to establish intelligent models.The prediction performance of the five models is ranked as GRU>LSTM>SVM>ELM>BPNN.Moreover,the Pearson correlation coefficient(PCC)is adopted for sensitivity analysis.The results reveal that the main thrust(MT),penetration(P),foam volume(FV),and grouting volume(GV)have strong correlations with advancing speed(AS).An empirical formula is constructed based on the high-correlation influential factors and their corresponding field datasets.Finally,the prediction performances of the intelligent models and the empirical method are compared.The results reveal that all the intelligent models perform better than the empirical method. | Song-Shun Lin Shui-Long Shen Ning Zhang Annan Zhou | 2021 | Geoscience Frontiers2021，12，5： | 14 |
| 3 | Constitutive model for overconsolidated clays显示文摘Based on the relationships between the Hvorslev envelope,the current yield sur-face and the reference yield surface,a new constitutive model for overconsolidated clays is proposed. It adopts the unified hardening parameter,to which the potential failure stress ratio and the characteristic state stress ratio are introduced. The model can describe many characteristics of overconsolidated clays,including stress-strain relationships,strain hardening and softening,stress dilatancy,and stress path dependency. Compared with the Cam-clay model,the model only re-quires one additional soil parameter which is the slope of the Hvorslev envelope. Comparisons with data from triaxial drained compression tests for Fujinomori clay show that the proposed model can rationally describe overconsolidated properties. In addition,the model is also used to predict the stress-strain relationship in the isotropic consolidation condition and the stress paths in the undrained triaxial compression tests. | YAO YangPing HOU Wei ZHOU AnNan | 2008 | Science China(Technological Sciences)2008，51，2： | 13 |
| 4 | Prediction of Disc Cutter Life During Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network显示文摘Disc cutter consumption is a critical problem that influences work performance during shield tunneling processes and directly affects the cutter change decision.This study proposes a new model to estimate the disc cutter life(Hf)by integrating a group method of data handling(GMDH)-type neural network(NN)with a genetic algorithm(GA).The efficiency and effectiveness of the GMDH network structure are optimized by the GA,which enables each neuron to search for its optimum connections set from the previous layer.With the proposed model,monitoring data including the shield performance database,disc cutter consumption,geological conditions,and operational parameters can be analyzed.To verify the performance of the proposed model,a case study in China is presented and a database is adopted to illustrate the excellence of the hybrid model.The results indicate that the hybrid model predicts disc cutter life with high accuracy.The sensitivity analysis reveals that the penetration rate(PR)has a significant influence on disc cutter life.The results of this study can be beneficial in both the planning and construction stages of shield tunneling. | Khalid Elbaz Shui-Long Shen Annan Zhou Zhen-Yu Yin Hai-Min Lyu | 2021 | Engineering2021，7，2： | 10 |
| 5 | Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data显示文摘Slope failures lead to catastrophic consequences in numerous countries and thus the stability assessment for slopes is of high interest in geotechnical and geological engineering researches.A hybrid stacking ensemble approach is proposed in this study for enhancing the prediction of slope stability.In the hybrid stacking ensemble approach,we used an artificial bee colony(ABC)algorithm to find out the best combination of base classifiers(level 0)and determined a suitable meta-classifier(level 1)from a pool of 11 individual optimized machine learning(OML)algorithms.Finite element analysis(FEA)was conducted in order to form the synthetic database for the training stage(150 cases)of the proposed model while 107 real field slope cases were used for the testing stage.The results by the hybrid stacking ensemble approach were then compared with that obtained by the 11 individual OML methods using confusion matrix,F1-score,and area under the curve,i.e.AUC-score.The comparisons showed that a significant improvement in the prediction ability of slope stability has been achieved by the hybrid stacking ensemble(AUC?90.4%),which is 7%higher than the best of the 11 individual OML methods(AUC?82.9%).Then,a further comparison was undertaken between the hybrid stacking ensemble method and basic ensemble classifier on slope stability prediction.The results showed a prominent performance of the hybrid stacking ensemble method over the basic ensemble method.Finally,the importance of the variables for slope stability was studied using linear vector quantization(LVQ)method. | Navid Kardani Annan Zhou Majidreza Nazem Shui-Long Shen | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，1： | 10 |
| 6 | Analysis of a tunnel failure caused by leakage of the shield tail seal system显示文摘This paper presents an analysis of a tunnel failure accident during shield tunnel construction on Foshan Metro Line 2 in China.The failure is caused by the leakage of the multilayer seal system,which consists of several brush seals at the tail of the shield.Four different failure modes for the multilayer seal system are discussed.A simple structural analysis of the brush seals is then conducted,and failure mode 4(failure due to brush seal deformation)is identified as a major reason for the Foshan tunnel accident.A finite element method(FEM)analysis is employed to validate the conclusions drawn from the simple structural analysis of the brush seals. | Chao Yu Annan Zhou Jun Chen Arul Arulrajah Suksun Horpibulsuk | 2020 | Underground Space2020，5，2： | 3 |
| 7 | Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm显示文摘This study presents a framework for predicting geological characteristics based on integrating a stacking classification algorithm(SCA) with a grid search(GS) and K-fold cross validation(K-CV). The SCA includes two learner layers: a primary learner’s layer and meta-classifier layer. The accuracy of the SCA can be improved by using the GS and K-CV. The GS was developed to match the hyper-parameters and optimise complicated problems. The K-CV is commonly applied to changing the validation set in a training set. In general, a GS is usually combined with K-CV to produce a corresponding evaluation index and select the best hyper-parameters. The torque penetration index(TPI) and field penetration index(FPI) are proposed based on shield parameters to express the geological characteristics. The elbow method(EM) and silhouette coefficient(Si) are employed to determine the types of geological characteristics(K) in a Kmeans++ algorithm. A case study on mixed ground in Guangzhou is adopted to validate the applicability of the developed model. The results show that with the developed framework, the four selected parameters, i.e. thrust, advance rate, cutterhead rotation speed and cutterhead torque, can be used to effectively predict the corresponding geological characteristics. | Tao Yan Shui-Long Shen Annan Zhou Xiangsheng Chen | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，4： | 3 |
| 8 | Artificial neural network optimized by differential evolution for predicting diameters of jet grouted columns显示文摘A novel and effective artificial neural network(ANN) optimized using differential evolution(DE) is first introduced to provide a robust and reliable forecasting of jet grouted column diameters.The proposed computational method adopts the DE algorithm to tackle the difficulties in the training and performance of neural networks and optimize the four quintessential hyper-parameters(i.e.the epoch size,the number of neurons in a hidden layer,the number of hidden layers,and the regularization parameter) that govern the neural network efficacy.This approach is further enhanced by a stochastic gradient optimization algorithm to allow ’expensive’ computation efforts.The ANN-DE is first trained using a prepared jet grouting dataset,then verified and compared with the prevalent machine learning tools,i.e.neural networks and support vector machine(SVM).The results show that,the ANN-DE outperforms the existing methods for predicting the diameter of jet grouting columns since it well balances training efficiency and model performance.Specifically,the ANN-DE achieved root mean square error(RMSE)values of 0.90603 and 0.92813 for the training and testing phases,respectively.The corresponding values were 0.8905 and 0.9006 for the optimized ANN,then,0.87569 and 0.89968 for the optimized SVM,respectively.The proposed paradigm is bound to be useful for solving various geotechnical engineering problems regardless of multi-dimension and nonlinearity. | Pierre Guy Atangana Njock Shui-Long Shen Annan Zhou Giuseppe Modoni | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 3 |
| 9 | Numerical evaluation of the ground response induced by dewatering in a multi-aquifer system显示文摘This study presents a numerical investigation of dewatering-induced settlement and wall deflection during pumping tests in Tianjin,China.Based on the measured groundwater head and building settlement during the pumping test,a three-dimensional liquid-solid coupling model is established by using the finite element method(FEM).The void ratio,hydraulic conductivity,and elastic modulus of each layer are back-calculated through the numerical model.The groundwater drawdown,seepage field,ground settlement,horizontal ground displacement,and diaphragm wall lateral deflection are analyzed using the FEM model.The simulated results demonstrate that(i)the maximum ground settlement outside of the excavation reaches to 82 mm due to the leakage effect of aquitards;(ii)large horizontal displacement occurs in the soil during the pumping test with a maximum value of 28.3 mm,and the installation of the diaphragm wall in the aquifer can reduce the horizontal displacement of the ground;(iii)long-term pumping causes a large lateral deflection of the diaphragm wall,and a maximum value of 23.2 mm occurs at the layer where the screens of the wells are located;and(iv)long-term large-scale pumping should be avoided before excavation. | Yong-Xia Wu Qian Zheng Annan Zhou Shui-Long Shen | 2021 | Geoscience Frontiers2021，12，5： | 3 |
| 10 | Real-time analysis and prediction of shield cutterhead torque using optimized gated recurrent unit neural network显示文摘An accurate prediction of earth pressure balance(EPB)shield moving performance is important to ensure the safety tunnel excavation.A hybrid model is developed based on the particle swarm optimization(PSO)and gated recurrent unit(GRU)neural network.PSO is utilized to assign the optimal hyperparameters of GRU neural network.There are mainly four steps:data collection and processing,hybrid model establishment,model performance evaluation and correlation analysis.The developed model provides an alternative to tackle with time-series data of tunnel project.Apart from that,a novel framework about model application is performed to provide guidelines in practice.A tunnel project is utilized to evaluate the performance of proposed hybrid model.Results indicate that geological and construction variables are significant to the model performance.Correlation analysis shows that construction variables(main thrust and foam liquid volume)display the highest correlation with the cutterhead torque(CHT).This work provides a feasible and applicable alternative way to estimate the performance of shield tunneling. | Song-Shun Lin Shui-Long Shen Annan Zhou | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，4： | 2 |
| 11 | 基于现场试验的复垦地层灌注桩侧摩阻力的深度学习评价方法显示文摘目的:基于极限平衡理论和诸多简化原则的经验公式方法难以适用于复杂的复垦地层中灌注桩的侧摩阻力计算。本文旨在探讨复垦地层中灌注桩在静力加载条件下的侧摩阻力发展规律和特性,并应用深度学习方法,以提高灌注桩侧摩阻力的预测精度。创新点:1.设计现场试验,研究近海复垦地层中灌注桩的承载能力特性;2.建立深度学习预测模型,高精度预测工作荷载下灌注桩的轴力和侧摩阻力。方法:1.通过实验分析,探明复垦地层中不同土层与桩体的相互作用和桩体侧摩阻力的发展规律;2.通过理论计算,指出经验方法在复垦地层灌注桩承载力计算中的缺陷和不足;3.通过序列化的人工智能方法建模,利用土体物理力学参数和桩身试验实测数据,对比验证深度学习方法的精度和计算效率。结论:1.灌注桩适用于复垦地层,能够为基础设施提供足够的承载力;2.经验方法对灌注桩中部桩体的极限侧摩阻力估计良好,而对地层条件较差的桩身两端的估计则存在较大偏差;3.深度学习方法能够综合考虑地层和桩体的相互作用,并且能精确预测在不同工作荷载和极限荷载下的侧摩阻力和桩身轴力,因而适用性更广。 | Sheng-liang LU Ning ZHANG Shui-long SHEN Annan ZHOU Hu-zhong LI | 2020 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2020，21，6： | 1 |
| 12 | A permeability function for unsaturated soils with different initial densities 显示文摘 | Cai Guoqing Zhou Annan Sheng Daichao | 2014 | Canadian Geotechnical Journal2014，51，12： | 1 |
| 13 | Consolidation of partially saturated ground improved by impervious column inclusion:Governing equations and semi-analytical solutions显示文摘This study focuses on the consolidation behavior and mathematical interpretation of partially-saturated ground improved by impervious column inclusion.The constitutive relations for soil skeleton,pore air and pore water for partially saturated soils are proposed in the context of partially-saturated ground improved by impervious column inclusion.Settlement equation and dissipation equations of excess pore air/water pressures for a partially saturated improved ground are then derived.The semi-analytical solutions for ground settlement and pore pressure dissipation are then obtained through the Laplace transform and validated by the existing solutions for two special cases in the literature and the numerical results obtained from the finite difference method.A series of parametric studies is finally conducted to investigate the influence of some key factors on consolidation of partially saturated ground improved by impervious column inclusion.Based on the parametric study,it can be found that a higher value of the area replacement ratio or modulus of the pile results in a longer dissipation time of excess pore air pressure(PAP),a shorter dissipation time of excess pore water pressure(PWP),and a lower normalized settlement. | Lei Wang Annan Zhou Yongfu Xu Xiaohe Xia | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，3： | 1 |
| 14 | Use of recycled gypsum in the cement-based stabilization of very soft clays and its micro-mechanism显示文摘This paper presents an experimental study and micro-mechanism discussion on gypsum role in the mechanical improvements of cement-based stabilized clay(CBSC).A soft marine clay at two initial water contents(i.e.50%and 70%)was treated by reconstituted cementitious binders with varying gypsum to clinker(G/C)ratios and added metakaolin to facilitate the formation of ettringite,followed by the measurements of final water contents,dry densities and strengths in accordance with ASTM standards as well as microstructure by mercury intrusion porosimetry(MIP)and scanning electron microscopy(SEM).Results reveal that the gypsum fraction has a significant influence on the index and mechanical properties of the CBSC,and there exists a threshold of the G/C ratio,which is 10%and 15%for clays with 50%and 70%initial water contents,respectively.Beyond which adding excessive gypsum cannot improve the strength further,eliminating the beneficial role.At these thresholds of the G/C ratio,the unconfined compressive strength(UCS)values for clays with 50%and 70%initial water contents are 1.74 MPa and 1.53 MPa at 60 d of curing,respectively.Microstructure characterization shows that,besides the common cementation-induced strengthening,newly formed ettringite also acts as significant pore infills,and the associated remarkable volumetric expansion is responsible,and may be the primary factor,for the beneficial strength gain due to the added gypsum.Moreover,pore-filling ettringite also leads to the conversion of relatively large inter-aggregate to smaller intra-aggregate pores,thereby causing a more homogeneous matrix or solid skeleton with higher strength.Overall,added gypsum plays a vital beneficial role in the strength development of the CBSC,especially for very soft clays. | Jun Wu Li Liu Yongfeng Deng Guoping Zhang Annan Zhou Henglin Xiao | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，3： | 1 |
| 15 | Shearstrength criteria for unsaturated soils 显示文摘 | Daichao Sheng Annan Zhou Delwyn G Fredlund | 2011 | Geotechnicaland Geological Engineering2011，，29： | 1 |
| 16 | A news picture geo-localization pipeline based on deep learning and street view images显示文摘Numerous news or event pictures are taken and shared on the internet every day that have abundant information worth being mined,but only a small fraction of them are geotagged.The visual content of the news image hints at clues of the geographical location because they are usually taken at the site of the incident,which provides a prerequisite for geo-localization.This paper proposes an automated pipeline based on deep learning for the geo-localization of news pictures in a large-scale urban environment using geotagged street view images as a reference dataset.The approach obtains location information by constructing an attention-based feature extraction network.Then,the image features are aggregated,and the candidate street view image results are retrieved by the selective matching kernel function.Finally,the coordinates of the news images are estimated by the kernel density prediction method.The pipeline is tested in the news pictures in Hong Kong.In the comparison experiments,the proposed pipeline shows stable performance and generalizability in the large-scale urban environment.In addition,the performance analysis of components in the pipeline shows the ability to recognize localization features of partial areas in pictures and the effectiveness of the proposed solution in news picture geo-localization. | Tianyou Chu Yumin Chen Heng Su Zhenzhen Xu Guodong Chen Annan Zhou | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
| 17 | Fabrication and Adsorption Properties of Hybrid Material with Micropores from SBA-15显示文摘 | LI Tiantian YUAN Yuan XIANG Yingqiao ZHOU Annan XU Qinghong | 2016 | Chemical Research in Chinese Universities2016，32，3： | 0 |
| 18 | Numerical evaluation of segmental tunnel lining with voids in outside backfill显示文摘This paper presents a numerical investigation of the mechanical behaviour of segmental linings owing to the existence of voids in the composite lining.The composite lining was formed by mining outside and shield tunnelling inside with backfill in between.Finite element method was conducted to analyse the axial forces and bending moment for voids of different diameters at different positions.The results show that the axial forces in the transverse section increase near the crown and then invert and decrease on the left and right sides with an increase in the void centre angle(β)measured from the vertical axis.The increase in void diameter(d<300 mm)induces an increase in the axial force on the left and right sides when β=45°and 90°,while it decreases near the crown and invert.The occurrence of voids leads to an increase in the bending moment in the entire segment section with an angle β. | Jia-Xuan Zhang Ning Zhang Annan Zhou Shui-Long Shen | 2022 | Underground Space2022，7，5： | 0 |
| 19 | Research on the influence of outdoor trees on natural ventilation performance of an academic building显示文摘Planting trees around buildings has always been used as one of the most common viable landscaping strategies in schools.However,the impact of trees on natural ventilation inside the building has been neglected without investigation.The emphasis of this study related to the impact of outdoor trees around the academic building on indoor ventilation.Numerical simulations of the indoor wind environment of the academic building affected by trees were performed utilizing the k-εmodel with additional source terms.The numerical model was also validated by measured data.Two kinds of trees were selected,they are camphor and metasequoia.Camphor is a kind of broad-leaved tree and metasequoia is a kind of coniferous tree.26 simulation cases with six different tree canopy spacings were conducted.These results showed that the outdoor trees had great influences on the natural ventilation performance of the academic building.Compared with the case without the trees,the highest decrement in ventilation flow rate could be up to 31.97%in this study.For the cases of classrooms with horizontal distribution,the ages of air of the classrooms became fresher with the increase of the canopy spacing.While for the cases of classrooms with vertical distribution,the canopy spacing had fewer effects on the natural ventilation performances.It was also found that the blocking effects of camphor on indoor ventilation were higher than that of metasequoia.The average ventilation flow rate in cases with metasequoia was increased by 14.89%compared to the cases with camphor.This study could provide guidance for the layout design of trees around the building. | Shengnan Niu Xiaodong Liu Annan Wang Lufang Chen Xin Zhou Xing Shi Liu Yang Xing Jin | 2023 | Building Simulation2023，16，6： | 0 |
| 20 | The signature analysis of summer Antarctic sea-ice distribution by ship-based sea-ice observation显示文摘Based on the Chinese 19th National Antarctic Research Expedition,we carried out ship-based Antarctic sea-ice observa-tion on icebreaker Xue Long using Antarctic sea-ice process and climate (ASPeCt) criteria during austral summer.Sea-ice distribution data were obtained along nearly 6,500 km of the ship's track.The measurement parameters included sea-ice thickness,sea-ice concentration,snow thickness,and floe size.Analysis showed the presence of the large spatial varia-tions of the observed sea-ice characteristics.Sea-ice concentration varied between 0 and 80 percent and reached its peak value in Weddell Sea because of the specific dynamical process affecting in summer sea-ice melting.There are large areas of open water along the study section.Sea ice and the upper snow thickness of the section varied between 10 cm and 210 cm and 2 cm and 80 cm,respectively,and each reaches its peak values near Amery ice shelf.The floe size varied from less than 10 cm and the maximum of more than 2,000 km along the section. | ShuLin Tang 1,Ning Li 1,AnNan Jiang 2,XingRu Zhou 1 1.China Railway 21st Bureau Group CO.,LTD,Lanzhou 730000,China.2.Institute of Highway and Bridge,Dalian Maritime University,Dalian 116026,China. | 2009 | Research in Cold and Arid Regions2009，1，4： | 0 |
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