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| 1 | Alekseevskii-Tate revisited:An extension to the modified hydrodynamic theory of long rod penetration显示文摘The modified hydrodynamic theory of long rod penetration into semi-infinite targets was established independently by Alek-seevskii and Tate over forty years ago and since then many investigators contributed much to the development of the high speed penetration mechanics.However,in all the models proposed so far,the target resistance Rt is not well defined and usually determined by adjusting it until the predicted depth of penetration comes to an agreement with experimental data.In this paper,assumptions are first made about particle velocity and pressure profiles together with response regions in the target and then an extension is made to the modified hydrodynamic theory of long rod penetration into semi-infinite targets,in which Rt has explicit form and is dependent on penetration velocity as well as thermo-mechanical properties of target material.The present model is compared with long rod penetration tests for different material combinations.It transpires that the present model predictions are in good agreement with the experimental data and numerical simulations in terms of penetration depth although many assumptions and simplifications are introduced into the paper. | LAN Bin & WEN HeMing CAS Key Laboratory for Mechanical Behavior and Design of Materials,University of Science and Technology of China,Hefei 230027,China | 2010 | Science China(Technological Sciences)2010，53，5： | 14 |
| 2 | Analytical model for cratering of semi-infinite metallic targets by long rod penetrators显示文摘Analytical model is presented herein to predict the diameter of crater in semi-infinite metallic targets struck by a long rod penetrator. Based on the observation that two mechanisms such as mushrooming and cavitation are involved in cavity expansion by a long rod penetrator, the model is constructed by using the laws of conservation of mass, momentum, energy, together with the u-v relationship of the newly suggested 1D theory of long rod penetration (see Lan and Wen, Sci China Tech Sci, 2010, 53(5): 1364–1373). It is demonstrated that the model predictions are in good agreement with available experimental data and numerical simulations obtained for the combinations of penetrator and target made of different materials. | WEN HeMing, HE Yu & LAN Bin CAS Key Laboratory for Mechanical Behavior and Design of Materials, University of Science and Technology of China, Hefei 230027, China | 2010 | Science China(Technological Sciences)2010，53，12： | 9 |
| 3 | Predicting the penetration of long rods into semi-infinite metallic targets显示文摘Analytical equations are presented herein to predict the penetration of semi-infinite metallic targets struck normally by long rods at high velocities for Yp | HE Yu WEN HeMing | 2013 | Science China(Technological Sciences)2013，56，11： | 6 |
| 4 | Research on the Production Efficiency andUtilizing Rate of Potassium Fertilizer for Rape in Yunnan Province 显示文摘 | Minglian FU Genze U Xiaoyan YUAN Derong CHENG Xuan ZHU Shengguang WEI Hongyan LJ Shi PENG Yuankuan LEI Bin HE Heming WEN Shaowei YU | 2011 | Agricultural Science & Technology2011，12，14： | 1 |
| 5 | A combined numerical and theoretical study on the penetration of a jacketed rod into semi-infinite targets显示文摘 | Wen Heming He Yu Lan Bin | 2011 | International Journal of Impact Engineering2011，38，10： | 1 |
| 6 | Tho le-ngoc, wireless vir- tualization 显示文摘 | WEN Heming PTIWARY P K | 2013 | SpringerBriefs in Computer Science2013，42，5： | 1 |
| 7 | PETALLING OF A THIN METAL PLATE STRUCK BY A CONICAL-NOSED PROJECTILE显示文摘A theoretical study is presented herein on the petalling of a fully-clamped thin metal plate struck by a rigid conical-nosed projectile. It is assumed that the energy absorbed in the petalling process consists of two parts, one part is due to the local deformation during the hole formation and the other is from the global response such as bending and membrane stretching. Various energy absorbing mechanisms are delineated and an approximate equation for the ballistic limit is obtained. It transpires that the predictions from the present model are in good agreement with test data available when the sensitivity of the strain rate of the material is taken into account. | Qiaoguo Wu Heming Wen | 2015 | Acta Mechanica Solida Sinica2015，28，5： | 0 |
| 8 | Probabilistic time series forecasting with deep non-linear state space models显示文摘Probabilistic time series forecasting aims at estimating future probabilistic distributions based on given time series observations.It is a widespread challenge in various tasks,such as risk management and decision making.To investigate temporal patterns in time series data and predict subsequent probabilities,the state space model(SSM)provides a general framework.Variants of SSM achieve considerable success in many fields,such as engineering and statistics.However,since underlying processes in real-world scenarios are usually unknown and complicated,actual time series observations are always irregular and noisy.Therefore,it is very difficult to determinate an SSM for classical statistical approaches.In this paper,a general time series forecasting framework,called Deep Nonlinear State Space Model(DNLSSM),is proposed to predict the probabilistic distribution based on estimated underlying unknown processes from historical time series data.We fuse deep neural networks and statistical methods to iteratively estimate states and network parameters and thus exploit intricate temporal patterns of time series data.In particular,the unscented Kalman filter(UKF)is adopted to calculate marginal likelihoods and update distributions recursively for non-linear functions.After that,a non-linear Joseph form covariance update is developed to ensure that calculated covariance matrices in UKF updates are symmetric and positive definitive.Therefore,the authors enhance the tolerance of UKF to round-off errors and manage to combine UKF and deep neural networks.In this manner,the DNLSSM effectively models non-linear correlations between observed time series data and underlying dynamic processes.Experiments in both synthetic and real-world datasets demonstrate that the DNLSSM consistently improves the accuracy of probability forecasts compared to the baseline methods. | Heming Du Shouguo Du Wen Li | 2023 | CAAI Transactions on Intelligence Technology2023，8，1： | 0 |
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