维普中文期刊产品整合服务
1049篇 您的检索式:作者名="AnnaN"
    题名 作者 年代 出处 被引量
1Generalized 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 2004Science China(Technological Sciences)2004,47,6:57
2Modelling 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 2021Geoscience Frontiers2021,12,5:14
3Constitutive 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 2008Science China(Technological Sciences)2008,51,2:13
4Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock: 2012显示文摘R. Phillip Dellinger Mitchell M. Levy Andrew Rhodes Djillali Annane Herwig Gerlach Steven M. Opal Jonathan E. Sevransky Charles L. Sprung Ivor S. Douglas Roman Jaeschke Tiffany M. Osborn Mark E. Nunnally Sean R. Townsend Konrad Reinhart Ruth M. Kleinpell 2013Critical Care Medicine2013,,2:12
5Prediction 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 2021Engineering2021,7,2:10
6Improved 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 2021Journal of Rock Mechanics and Geotechnical Engineering2021,13,1:10
7Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012显示文摘R. P. Dellinger Mitchell M. Levy Andrew Rhodes Djillali Annane Herwig Gerlach Steven M. Opal Jonathan E. Sevransky Charles L. Sprung Ivor S. Douglas Roman Jaeschke Tiffany M. Osborn Mark E. Nunnally Sean R. Townsend Konrad Reinhart Ruth M. Kleinpell Derek 2013Intensive Care Medicine2013,,2:7
8去甲肾上腺素加多巴酚丁胺与单用肾上腺素治疗脓毒性休克的对比:一项随机试验显示文摘背景:治疗脓毒性休克的国际指南建议使用多巴胺或去甲肾上腺素较肾上腺素更合适。然而,还没有开展相关的大型对比试验。本研究旨在比较对脓毒性休克使用去甲肾上腺素加多巴酚丁胺(需要时)与单用肾上腺素的有效性和安全性。方法:此项前瞻性、多中心、随机双盲研究纳入了在法国19个参与本研究的重症监护室住院的330例脓毒性休克患者。Annane D. Vignon P. Renault A. 罗亮 2007世界核心医学期刊文摘(心脏病学分册)2007,,12:4
9Analysis 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 2020Underground Space2020,5,2:3
10关于昆虫DNA甲基化的研究进展(英文)显示文摘DNA甲基化作为重要的表观遗传调控现象之一,广泛地存在于原核生物和真核生物中,并且在多种生物学过程中起到非常重要的作用。近年来,随着DNA甲基化研究方法的改进及创新,昆虫DNA甲基化的研究取得了一些新的进展和成果。本文就果蝇和家蚕等昆虫DNA甲基化的特征、研究方法,以及DNA甲基化在昆虫基因组印迹、胚胎发育、衰老、记忆、免疫和进化中的作用等进行简要综述,以期对家蚕等昆虫DNA甲基化的本质及功能理解有所启发。Annan Enoch 姜晓旭 商琪 Dweteh Owusu Amanfo 吴萍 郭锡杰 2018蚕业科学2018,44,3:3
11Prediction 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 2022Journal of Rock Mechanics and Geotechnical Engineering2022,14,4:3
12Artificial 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 2021Journal of Rock Mechanics and Geotechnical Engineering2021,13,6:3
13Numerical 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 2021Geoscience Frontiers2021,12,5:3
14Real-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 2022Journal of Rock Mechanics and Geotechnical Engineering2022,14,4:2
15Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012显示文摘R. P. Dellinger Mitchell M. Levy Andrew Rhodes Djillali Annane Herwig Gerlach Steven M. Opal Jonathan E. Sevransky Charles L. Sprung Ivor S. Douglas Roman Jaeschke Tiffany M. Osborn Mark E. Nunnally Sean R. Townsend Konrad Reinhart Ruth M. Kleinpell Derek 2013Intensive Care Medicine2013,,2:2
16Effect of treatment with low doses of hydrocortisone and fludrocortisone on mortality in patients with septic shock显示文摘Annane D Sebille V Charpentier C 2002JAMA2002,288,7:1
17Impaired pressor sensitivity to noradrenaline in septic shock patients with and with-nut impaired adrenal reserve 显示文摘Annane D Bellissant E Sebille V 1998Br J Clin Pharmaeol1998,46,6:1
18Genome-wide insertional mutagenesis of Arabidopsis thaliana显示文摘 AnnaN Stepanova I etal 2003Science2003,301,:1
19Electromagnetic determination of soil water content: measurement in coaxial transmission lines显示文摘Topp G C Davis J L Annan A P 1980Water Resources Research1980,16,3:1
20Effect of treatment with low dose of hydrocortis0ne and fludrocortisone on mortality in patient with septic shock 显示文摘Annane D Sebille V Charpentier C 2002JAMA2002,288,7:1
返回顶部 每页显示:
共53页 首页 上一页 第1页 下一页 末页 /53 跳转

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1 渝公网安备 50019002500403号 违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费