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Numerical model of soft ground improvement by vertical drain combined with vacuum preloading

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Journal of Central South University 2013年第7期20卷 2066-2071页

作者：吴辉胡黎明 State Key Laboratory of Hydro-science and Engineering (Department of Hydraulic Engineering Tsinghua University)

The rapid development of high-speed transportation infrastructure such as highway and high-speed railway has resulted in the advancement of soft soil improvement techniques. Vacuum preloading combined with vertical drains has been proved to be an effective method in the treatment of soft foundation. A three-dimensional numerical analysis of the coupled methods was presented, in which the smear zone and the well resistance were taken into account. The variations of the basic soil parameters including the permeability coefficient and the coefficient of volume compressibility were considered in the numerical model. The result of the numerical model was then compared to the measured value. The results indicate that the decrease of coefficient of volume compressibility accelerates the consolidation of the soil while the influence of hydraulic conductivity is insignificant. A cube drain presents the closest result to the real situation compared to the other equivalent methods of prefabricated vertical drain (PVD). The case study indicates that the numerical model with variation of soil parameters is closer to the measured value than the numerical model without variation of soil parameters.

关键词： vacuum preloading prefabricated vertical drain (PVD) parameter variation numerical model

Analysis of process variations impact on the single-event transient quenching in 65 nm CMOS combinational circuits

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Science China(Technological Sciences) 2014年第2期57卷 322-331页

作者： WANG TianQi XIAO LiYi ZHOU Bin QI ChunHua Micro-electric Centre Harbin Institute of Technology

Single-event transient pulse quenching （Quenching effect） is employed to effectively mitigate WSET （SET pulse width）. It en- hanced along with the increased charge sharing which is norm for future advanced technologies. As technology scales, param- eter variation is another serious issue that significantly affects circuit＇s performance and single-event response. Monte Carlo simulations combined with TCAD （Technology Computer-Aided Design） simulations are conducted on a six-stage inverter chain to identify and quantify the impact of charge sharing and parameter variation on pulse quenching. Studies show that charge sharing induce a wider WSET spread range. The difference of WSET range between no quenching and quenching is smaller in NMOS （N-Channel Metal-Oxide-Semiconductor Field-Effect Transistor） simulation than that in PMOS＇（P-Channel Met- N-Oxide-Semiconductor Field-Effect Transistor）, so that from parameter variation view, quenching is beneficial in PMOS SET mitigation. The individual parameter analysis indicates that gate oxide thickness （TOXE） and channel length variation （XL） mostly affect SET response of combinational circuits. They bring 14.58% and 19.73% average WSET difference probabilities for no-quenching cases, and 105.56% and 123.32% for quenching cases.

关键词： single-event transient (SET) parameter variation Monte Carlo simulation quenching effect charge share

Robustness aware high performance high fan-in domino OR logic design

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Journal of Semiconductors 2009年第6期30卷 107-110页

作者：宫娜汪金辉郭宝增王永清曹晓兵田秀丽 College of Electronic and Informational Engineering Hebei University VLSI & System Laboratory Beijing University of Technology

A novel technique using a keeper with a simultaneous low supply voltage and low body voltage is proposed to improve the overall performance of high fan-in OR gates without modifying the physical dimensions of the *** results of a 16-input domino OR gate using 45 nm CMOS technology show that the proposed technique could trade off between a high power/speed efficient operation and the robustness to noise ***,a Monte Carlo analysis indicates that the proposed domino OR gate is more robust to parameter variation compared to a conventional domino OR gate.

关键词： Domino OR robustness power consumption parameter variation

State-of-Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Deep Neural Network

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Computers, Materials & Continua 2022年第12期73卷 6289-6306页

作者： M.Premkumar R.Sowmya S.Sridhar C.Kumar Mohamed Abbas Malak S.Alqahtani Kottakkaran Sooppy Nisar Department of Electrical and Electronics Engineering Dayananda Sagar College of EngineeringBengaluru560078KarnatakaIndia Department of Electrical and Electronics Engineering National Institute of TechnologyTiruchirapalli620015Tamil NaduIndia Department of Electrical and Electronics Engineering M S Ramaiah Institute of TechnologyBengaluru560054KarnatakaIndia Department of Electrical and Electronics Engineering M.Kumarasamy College of EngineeringKarur639113Tamil NaduIndia Electrical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Computers and Communications Department College of EngineeringDelta University for Science and TechnologyGamasa35712Egypt Faculty of Technology The GatewayDe Montfort UniversityLeicesterLE19BHUnited Kingdom Department of Mathematics College of Arts and SciencesPrince Sattam bin Abdulaziz UniversityWadi Aldawaser11991Saudi Arabia

It is critical to have precise data about Lithium-ion batteries,such as the State-of-Charge(SoC),to maintain a safe and consistent functioning of battery packs in energy storage systems of electric *** strategies for estimating battery SoC,such as by including the coulomb counting and Kalman filter,have been *** a result of the differences in parameter values between each cell,when these methods are applied to highcapacity battery packs,it has difficulties sustaining the prediction accuracy of overall *** a result of aging,the variation in the parameters of each cell is higher as more time is spent in *** is suggested in this study to establish an SoC estimate model for a Lithium-ion battery by employing an enhanced Deep Neural Network(DNN)*** is because the proposed DNN has a substantial hidden layer,which can accurately predict the SoC of an unknown driving cycle during training,making it ideal for SoC *** evaluate the nonlinearities between voltage and current at various SoCs and temperatures,the proposed DNN is *** current and voltage data measured at various temperatures throughout discharge/charge cycles is necessary for training and testing *** the method has been thoroughly trained with the data collected,it is used for additional cells cycle tests to predict their *** simulation has been conducted for two different Li-ion battery *** to the experimental data,the suggested DNN-based SoC estimate approach produces a low mean absolute error and root-mean-square-error values,say less than 5%errors.

关键词： Artificial intelligence deep neural network Li-ion battery parameter variation SoC estimation

BIFURCATIONS AND CHAOS CONTROL IN TCP-RED SYSTEM

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Journal of Pharmaceutical Analysis 2006年第1期18卷 1-5页

作者：刘芳 School of Electrical Engineering Xi'an Jiaotong UniversityXi'an 710049China Department of Electronics and Information Engineering the 2nd Northwest Institute for Ethnic MinoritiesYin chuan 750021China

Objective Analyzing the nonlinear dynamics of the TCP-RED congestion control system is of great importance. This study will help investigate the loss of stability in Internet and design a proper method for controlling bifurcation and chaos in such system. Methods Based on bifurcation diagram, the effect of parameter on system performance is discussed. By using the state feedback and parameter variation strategy, a simple real time control method is proposed to modify the existing RED scheme. Results With our control method, the parametric sensitivity of RED mechanism is attenuated. Moreover, a sufficient condition on the robust stability of the system is also derived to adjust the parameters in TCP-RED system. Conclusion The proposed method has the advantages of simple implementation and unnecessary knowledge of the exact system.

关键词： bifurcation chaos feedback control parameter variation congestion control transfer control protocol (TCP) random early detection (RED)

Sensitivity Analysis of Optimal Control Problems for Switched Systems

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Sensitivity Analysis of Optimal Control Problems for Switche...

Robust Control for Free-Floating Space Robot in Inertial Space Based on Adaptive Estimation of the Upper Bounds 6th

第26届中国控制与决策会议

作者： Jinjin Liu Kanjian Zhang Xiaomei Liu Haikun Wei School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781479937097

This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes it robust to the variation of the original objective with respect to unknown parameters. We focus on the fixed switching mode sequences and convert the sensitivity problem into a conventional optimal switched control problem, which can be solved directly using the gradient descent algorithm. The efficacy of the proposed method is illustrated via numerical example.

关键词： Switched systems Sensitivity analysis Optimal control parameter variation

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Robust Control for Free-Floating Space Robot in Inertial Spa...