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Development of a first-order kinetics-based model for the adsorption of nickel onto peat 被引量:3
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作者 LIU Zhi-rong CHEN Xiao-song ZHOU Li-min WEI Peng 《Mining Science and Technology》 EI CAS 2009年第2期230-234,共5页
The use of peat for the removal of nickel from aqueous solutions has been investigated at various pH values by means of static conditions. The present research shows that the ability of Ni to bind to peat increases as... The use of peat for the removal of nickel from aqueous solutions has been investigated at various pH values by means of static conditions. The present research shows that the ability of Ni to bind to peat increases as the pH value increases. The solutions reach adsorption equilibrium rapidly. A reasonable kinetic model, first-order in nickel concentration, has been developed and fitted to the adsorption of nickel (Ⅱ) onto peat. The first-order model provides a good correlation to the experimental data. The characteristic parameters of the Langmuir isotherm were determined at various temperatures. The relationship between kinetics and equilibrium isotherms was established through the forward- and backward-rate-constants, k~ and k2, and the equilibrium constant, K. 展开更多
关键词 PEAT NICKEL ADSORPTION first-order rate model PH ISOTHERM
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Improved Inverse First-Order Reliability Method for Analyzing Long-Term Response Extremes of Floating Structures
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作者 Junrong Wang Zhuolantai Bai +3 位作者 Botao Xie Jie Gui Haonan Gong Yantong Zhou 《哈尔滨工程大学学报(英文版)》 2025年第3期552-566,共15页
Long-term responses of floating structures pose a great concern in their design phase. Existing approaches for addressing long-term extreme responses are extremely cumbersome for adoption. This work aims to develop an... Long-term responses of floating structures pose a great concern in their design phase. Existing approaches for addressing long-term extreme responses are extremely cumbersome for adoption. This work aims to develop an approach for the long-term extreme-response analysis of floating structures. A modified gradient-based retrieval algorithm in conjunction with the inverse first-order reliability method(IFORM) is proposed to enable the use of convolution models in long-term extreme analysis of structures with an analytical formula of response amplitude operator(RAO). The proposed algorithm ensures convergence stability and iteration accuracy and exhibits a higher computational efficiency than the traditional backtracking method. However, when the RAO of general offshore structures cannot be analytically expressed, the convolutional integration method fails to function properly. A numerical discretization approach is further proposed for offshore structures in the case when the analytical expression of the RAO is not feasible. Through iterative discretization of environmental contours(ECs) and RAOs, a detailed procedure is proposed to calculate the long-term response extremes of offshore structures. The validity and accuracy of the proposed approach are tested using a floating offshore wind turbine as a numerical example. The long-term extreme heave responses of various return periods are calculated via the IFORM in conjunction with a numerical discretization approach. The environmental data corresponding to N-year structural responses are located inside the ECs, which indicates that the selection of design points directly along the ECs yields conservative design results. 展开更多
关键词 Long-term response analysis Floating structures Inverse first-order reliability method Convolution model Gradient-based retrieval algorithm Environmental contour method
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Estimation of Landfill Gas and Its Renewable Energy Potential from the Polesgo Controlled Landfill Using First-Order Decay (FOD) Models
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作者 Haro Kayaba Ouarma Issoufou +4 位作者 Dabilgou Téré Compaore Abdoulaye Sanogo Oumar Bere Antoine Koulidiati Jean 《Journal of Environmental Protection》 2024年第10期975-993,共19页
Methane generation in landfills and its inadequate management represent the major avoidable source of anthropogenic methane today. This paper models methane production and the potential resources expected (electrical ... Methane generation in landfills and its inadequate management represent the major avoidable source of anthropogenic methane today. This paper models methane production and the potential resources expected (electrical energy production and potential carbon credits from avoided CH4 emissions) from its proper management in a municipal solid waste landfill located in Ouagadougou, Burkina Faso. The modeling was carried out using two first-order decay (FOD) models (LandGEM V3.02 and SWANA) using parameters evaluated on the basis of the characteristics of the waste admitted to the landfill and weather data for the site. At the same time, production data have been collected since 2016 in order to compare them with the model results. The results obtained from these models were compared to experimental one. For the simulation of methane production, the SWANA model showed better consistency with experimental data, with a coefficient of determination (R²) of 0.59 compared with the LandGEM model, which obtained a coefficient of 0.006. Thus, despite the low correlation values linked to the poor consistency of experimental data, the SWANA model models methane production much better than the LandGEM model. Thus, despite the low correlation values linked to the poor consistency of the experimental data, the SWANA model models methane production much better than the LandGEM V3.02 model. It was noted that the poor consistency of the experimental data justifies these low coefficients, and that they can be improved in the future thanks to ongoing in situ measurements. According to the SWANA model prediction, in 27 years of operation a biogas plant with 33% electrical efficiency using biogas from the Polesgo landfill would avoid 1,340 GgCO2e. Also, the evaluation of revenues due to electricity and carbon credit gave a total revenue derived from methane production of US$27.38 million at a cost of US$10.5/tonne CO2e. 展开更多
关键词 first-order Decay METHANE modeling LANDFILL Renewable Energy
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Sensitivity analysis for stochastic user equilibrium with elastic demand assignment model
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作者 王建 吴鼎新 邓卫 《Journal of Southeast University(English Edition)》 EI CAS 2014年第3期363-367,共5页
This paper puts forward a rigorous approach for a sensitivity analysis of stochastic user equilibrium with the elastic demand (SUEED) model. First, proof is given for the existence of derivatives of output variables... This paper puts forward a rigorous approach for a sensitivity analysis of stochastic user equilibrium with the elastic demand (SUEED) model. First, proof is given for the existence of derivatives of output variables with respect to the perturbation parameters for the SUEED model. Then by taking advantage of the gradient-based method for sensitivity analysis of a general nonlinear program, detailed formulae are developed for calculating the derivatives of designed variables with respect to perturbation parameters at the equilibrium state of the SUEED model. This method is not only applicable for a sensitivity analysis of the logit-type SUEED problem, but also for the probit-type SUEED problem. The application of the proposed method in a numerical example shows that the proposed method can be used to approximate the equilibrium link flow solutions for both logit-type SUEED and probit-type SUEED problems when small perturbations are introduced in the input parameters. 展开更多
关键词 network modeling stochastic user equilibrium elastic demand sensitivity analysis first-order approximation
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Current Model Analysis of South China Sea Based on Empirical Orthogonal Function(EOF) Decomposition and Prototype Monitoring Data 被引量:4
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作者 WU Wenhua LIU Ming +1 位作者 YU Siyuan WANG Yanlin 《Journal of Ocean University of China》 SCIE CAS CSCD 2019年第2期305-316,共12页
Environmental load is the primary factor in the design of offshore engineering structures and ocean current is the principal environmental load that causes underwater structural failure. In computational analysis, the... Environmental load is the primary factor in the design of offshore engineering structures and ocean current is the principal environmental load that causes underwater structural failure. In computational analysis, the calculation of current load is mainly based on the current profile. The current profile model, which is based on a structural failure criterion, is conducive to decreasing the uncertainty of the current load. In this study, we used prototype monitoring data and the empirical orthogonal function(EOF) method to investigate the current profile in the South China Sea and its correlation with the design of underwater structural strength and the dynamic design of fatigue. The underwater structural strength design takes into account the size of the structure and the service water depth. We propose profiles for the overall and local designs using the inverse first-order reliability method(IFORM). We extracted the characteristic profile current(CPC) of the monitored sea area to solve dynamic design problems such as vortex-induced vibration(VIV). We used random sampling to verify the feasibility of using the EOF method to calculate the CPC from the current data and identified the main problems associated with using the CPC, which deserve close attention in VIV design. Our research conclusions provide direct references for determining current load in this sea area. This analysis method can also be used in the analysis of other sea areas or field variables. 展开更多
关键词 CURRENT PROFILE model failure criteria PROTOTYPE monitoring inverse first-order reliability method(IFORM) Characteristic PROFILE current(CPC)
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On the Parameterization of Convective Entrainment: Inherent Relationships among Entrainment Parameters in Bulk Models 被引量:2
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作者 孙鉴泞 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2009年第5期1005-1014,共10页
In this paper, the equilibrium entrainment into a shear-free, linearly stratified atmosphere is discussed under the framework of bulk models, namely, the zero-order jump model (ZOM) and the first-order jump model (... In this paper, the equilibrium entrainment into a shear-free, linearly stratified atmosphere is discussed under the framework of bulk models, namely, the zero-order jump model (ZOM) and the first-order jump model (FOM). The parameterizations for the dimensionless entrainment rate versus the convective Richard- son number in the two models are compared. Based on the assumption that the parameterized entrainment rates in ZOM and FOM should be the same, the inherent relationships among the entrainment parameters in the bulk models are revealed. These relationships are supported by tank experiments and large-eddy sim- ulations. The validity of these inherent relationships indicates that, for a convective boundary layer growing into a linearly stratified free atmosphere, the only dominant factors of the growth rate are the turbulent buoyancy in the mixed layer and the stratification in the free atmosphere. In the point of the similarity view, the former is characterized by turbulent temperature and mixing length scales (mixed layer depth), and the latter is characterized by the lapse rate of potential temperature in the free atmosphere. Thus, the commonly-used Richardson number scheme for the parameterization of the entrainment rate is just as an equivalent description. The variability of the total entrainment flux ratio in FOM, which is connected with the entrainment zone thickness, can implicitly describe the effect of the stratification in the free atmosphere, but the entrainment zone thickness is not an independent parameter. These results demonstrate the validity of the hypothesis that there exists a similarity limit in which the mixed layer depth is the only lengthscale. 展开更多
关键词 zero-order jump model first-order jump model convective Richardson number entrainmentrate lengthscale
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Analytical modelling and free vibration analysis of piezoelectric bimorphs 被引量:1
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作者 周燕国 陈云敏 丁皓江 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2005年第9期938-944,共7页
An efficient and accurate analytical model for piezoelectric bimorph based on the improved first-order shear deformation theory (FSDT) is developed in this work. The model combines the equivalent single-layer approa... An efficient and accurate analytical model for piezoelectric bimorph based on the improved first-order shear deformation theory (FSDT) is developed in this work. The model combines the equivalent single-layer approach for mechanical displacements and a layerwise-type modelling of the electric potential. Particular attention is devoted to the boundary conditions on the outside faces and to the interface continuity conditions of the bimorphs for the electromechanical variables. Shear correction factor (k) is introduced to modilfy both the shear stress and the electric displacement of each layer. And the detailed mathematical derivations are presented. Free vibration problem of simply supported piezoelectric bimorphs with series or parallel arrangement is investigated for the closed circuit condition, and the results for different length-to-thickness ratios are compared with those obtained from the exact 2D solution. Excellent agreements between the present model prediction with k=-8/9 and the exact solutions are observed for the resonant frequencies. 展开更多
关键词 Piezoelectric bimorph Analytical model Free vibration Shear correction factor first-order shear deformation theory
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Microcanonical Monte Carlo Simulation of 2D 4-State Potts Model
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作者 Snehadri Bihari Ota Smita Ota Akiro Ota 《Journal of Modern Physics》 2017年第4期602-606,共5页
Monte Carlo simulation of two dimensional 4 state Potts model has been carried out in microcanonical ensemble. The simulations were done on a 30 × 30 system with periodic boundary conditions. The temperature depe... Monte Carlo simulation of two dimensional 4 state Potts model has been carried out in microcanonical ensemble. The simulations were done on a 30 × 30 system with periodic boundary conditions. The temperature dependence of energy and order parameter has been calculated. The transition in 4-state Potts model is concluded to be first-order in nature. The transition temperature and latent heat of the first-order transition have been found to be 0.92 and 0.18, respectively. 展开更多
关键词 MICROCANONICAL MONTE Carlo POTTS model first-order TRANSITION
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基于HBF神经网络观测器的PMSM无模型预测电流控制
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作者 马炳图 杜钦君 +2 位作者 张婷 李伟强 刘家合 《仪器仪表学报》 北大核心 2025年第8期376-386,共11页
针对风电机组变桨系统永磁同步电机(PMSM)在复杂运行环境中参数时变引发的模型失配难题,提出了一种融合超局部建模、HBF神经网络观测器以及改进双矢量调制的PMSM无模型预测电流控制(HBF-MFPCC)方案。根据一阶超局部模型原理构建了PMSM... 针对风电机组变桨系统永磁同步电机(PMSM)在复杂运行环境中参数时变引发的模型失配难题,提出了一种融合超局部建模、HBF神经网络观测器以及改进双矢量调制的PMSM无模型预测电流控制(HBF-MFPCC)方案。根据一阶超局部模型原理构建了PMSM无模型预测电流控制的预测模型,仅需使用电机的电流和电压等历史信息即可预测未来时刻的电流值,彻底摆脱对电机电阻、电感和磁链等参数的依赖,解决了传统模型预测电流控制(MPCC)依赖于精确电机参数的问题;设计了一种HBF神经网络观测器来对预测模型的集总误差进行快速辨识,采用决策树优化基函数中心与宽度,该观测器具有较高的辨识速度和适应性,能够有效提高预测模型的准确度;采用一种改进的双矢量最优占空比调制策略,从19组电压矢量组合中选择最优矢量作用于逆变器,并通过自适应时长分配抑制电流纹波,提高电流的跟踪性能。仿真和实验结果表明,在模拟极端参数失配的工况下,提出的HBF-MFPCC策略相比MPCC策略能够使电流跟踪误差降低50%,谐波失真率降低28%;设计的HBF神经网络观测器能够使电流跟踪误差降低53%,谐波失真率降低55%;改进双矢量调制方法能够使电流跟踪误差降低24%,谐波失真率降低11%;该方案能够显著提高系统的鲁棒性且保证良好的电流跟踪性能。 展开更多
关键词 风力发电机 永磁同步电机 无模型预测电流控制 一阶超局部模型 神经网络观测器 双矢量控制
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基于坐标变化的Boost PFC无模型电流控制
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作者 杨学良 洪应平 +1 位作者 杨松霖 邓慧慧 《现代电子技术》 北大核心 2025年第14期7-11,共5页
升压型功率因数校正(Boost PFC)变换器在中轻载运行时存在电感电流的断续导通模式,在使用无模型电流控制器的过程中,因代数估计器存在滞后性,致使电流控制器无法精确地追踪呈动态变化的电流参考值,最终导致输入电流波形出现畸变以及相... 升压型功率因数校正(Boost PFC)变换器在中轻载运行时存在电感电流的断续导通模式,在使用无模型电流控制器的过程中,因代数估计器存在滞后性,致使电流控制器无法精确地追踪呈动态变化的电流参考值,最终导致输入电流波形出现畸变以及相位偏移的情况。为了提升输入电流波形的质量,基于超局部模型并结合同步旋转坐标系,建立了基于旋转坐标变化的无模型电流控制器,以生成合适的占空比信号并提高对电感电流的跟踪精度。搭建相应的仿真与实验环境,验证所提控制方法的合理性以及有效性,同时印证相关理论分析的正确性。实验结果表明,所提控制方法有效地提升了对参考电流的跟踪精度,减少了变换器系统的电流谐波,避免了额外的硬件检测电路。 展开更多
关键词 无模型电流控制 功率因数校正 Boost PFC 坐标变化 超局部模型 同步旋转坐标系
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基于模型补偿的MMC改进无模型滑模控制
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作者 周杨 阳同光 +1 位作者 杨京渝 曾梓茏 《南方电网技术》 北大核心 2025年第12期75-87,共13页
针对模块化多电平换流器(modular multilevel converter,MMC)出现动态负载、参数失配和单相短路接地故障,造成稳态功率脉动、电流谐波过大问题,提出了一种电流环改进无模型滑模控制方法(improved model-free sliding mode control,IMFS... 针对模块化多电平换流器(modular multilevel converter,MMC)出现动态负载、参数失配和单相短路接地故障,造成稳态功率脉动、电流谐波过大问题,提出了一种电流环改进无模型滑模控制方法(improved model-free sliding mode control,IMFSMC)。首先,基于MMC系统数学模型,构建了参数失配时的模型补偿超局部模型。其次,提出一种时变增益自适应滑模趋近律设计电流环滑模无模型反馈控制器;同时设计一种模型补偿改进线性扩张状态观测器(model-compensated improved linearly extended state observer,MCILESO)估计超局部模型中未知扰动并补偿至滑模反馈控制器,并使用Lyapunov函数和赫尔维兹定理证明了控制器和观测器的稳定性。最后,基于MATLAB仿真及RTLAB半实物平台与PI控制以及传统无模型滑模控制对比,其结果表明所提方法能极大提高MMC系统在动态负载、参数失配和单相短路接地下的动稳态性能;降低MMC系统模型依赖度,增加系统鲁棒性和抗扰能力。 展开更多
关键词 模块化多电平换流器 改进无模型滑模控制 时变增益自适应滑模趋近律 模型补偿超局部模型 模型补偿改进线性扩张状态观测器
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感应加热LLC谐振逆变器无模型预测功率控制策略 被引量:1
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作者 郭曾德 黄东晓 蔡峰 《电力电子技术》 2025年第7期25-31,共7页
针对感应加热LLC谐振逆变器由于高频谐振的影响,其发生的参数失配现象导致控制性能下降的问题,本文提出一种新型超局部模型的二次线性扩张状态观测器无模型预测功率控制(QLESO-IMFPPC)策略。首先,依据LLC谐振逆变器在d,q同步旋转坐标系... 针对感应加热LLC谐振逆变器由于高频谐振的影响,其发生的参数失配现象导致控制性能下降的问题,本文提出一种新型超局部模型的二次线性扩张状态观测器无模型预测功率控制(QLESO-IMFPPC)策略。首先,依据LLC谐振逆变器在d,q同步旋转坐标系数学模型建立基于系统输入和输出的新型超局部模型;其次,采用积分补偿函数与线性扩张状态观测器(LESO)设计出QLESO,估计新型超局部模型的未知部分,并通过积分补偿函数补偿传统观测器的估计残差,提高控制精度;最后,实验结果证明所提算法具有更良好的动稳态性能和鲁棒性。 展开更多
关键词 逆变器 感应加热 新型超局部模型 无模型预测功率控制
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Renormalization-group theory of first-order phase transition dynamics in field-driven scalar model 被引量:2
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作者 Fan Zhong 《Frontiers of physics》 SCIE CSCD 2017年第5期199-229,共31页
Through a detailed study of the mean-field approximation, the Gaussian approximation, the perturbation expansion, and the field-theoretic renormalization-group analysis of a φ^3 theory, we show that the instability f... Through a detailed study of the mean-field approximation, the Gaussian approximation, the perturbation expansion, and the field-theoretic renormalization-group analysis of a φ^3 theory, we show that the instability fixed points of the theory, together with their associated instability exponents, are quite probably relevant to the scaling and universality behavior exhibited by the first-order phase transitions in a field-driven scalar Ca model, below its critical temperature and near the instability points. Finite- time scaling and leading corrections to the scaling are considered. We also show that the instability exponents of the first-order phase transitions are equivalent to those of the Yang-Lee edge singularity, and employ the latter to improve our estimates of the former. The outcomes agree well with existing numerical results. 展开更多
关键词 first-order phase transitions renormalization group theory φ^3 theory scaling and universality instability exponents Yang-Lee edge singularity finite-time scaling corrections to scaling scalar model DYNAMICS hysteresis
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Gravitational waves from patterns of electroweak symmetry breaking:an effective perspective
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作者 Rong-Gen Cai Katsuya Hashino +1 位作者 Shao-Jiang Wang Jiang-Hao Yu 《Communications in Theoretical Physics》 2025年第5期93-117,共25页
The future space-borne gravitational wave(GW)detectors would provide a promising probe for the new physics beyond the standard model that admits the first-order phase transitions.The predictions for the GW background ... The future space-borne gravitational wave(GW)detectors would provide a promising probe for the new physics beyond the standard model that admits the first-order phase transitions.The predictions for the GW background vary sensitively among different concrete particle physics models but also share a large degeneracy in the model buildings,which motivates an effective model description on the phase transition based on different patterns of the electroweak symmetry breaking(EWSB).In this paper,using the scalar N-plet model as a demonstration,we propose an effective classification for three different patterns of EWSB:(1)radiative symmetry breaking with classical scale invariance,(2)the Higgs mechanism in a generic scalar extension,and(3)higher-dimensional operators.We conclude that a strong first-order phase transition could be realized for(1)and(2)with a small quartic coupling and a small isospin of an additional N-plet field for the light scalar field model with and without the classical scale invariance,and(3)with a large mixing coupling between scalar fields and a large isospin of the N-plet field for the heavy scalar field model. 展开更多
关键词 first-order phase transition gravitational wave standard model effective field theory
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Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming
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作者 Liyong Fu Mingliang Wang +2 位作者 Zuoheng Wang Xinyu Song Shouzheng Tang 《International Journal of Biomathematics》 SCIE 2019年第5期1-18,共18页
Nonlinear mixed-eirects (NLME) modek have become popular in various disciplines over the past several decades.However,the existing methods for parameter estimation imple-mented in standard statistical packages such as... Nonlinear mixed-eirects (NLME) modek have become popular in various disciplines over the past several decades.However,the existing methods for parameter estimation imple-mented in standard statistical packages such as SAS and R/S-Plus are generally limited k) single-or multi-level NLME models that only allow nested random effects and are unable to cope with crossed random effects within the framework of NLME modeling.In t his study,wc propose a general formulation of NLME models that can accommodate both nested and crassed random effects,and then develop a computational algorit hm for parameter estimation based on normal assumptions.The maximum likelihood estimation is carried out using the first-order conditional expansion (FOCE) for NLME model linearization and sequential quadratic programming (SCJP) for computational optimization while ensuring positive-definiteness of the estimated variance-covariance matrices of both random effects and error terms.The FOCE-SQP algorithm is evaluated using the height and diameter data measured on trees from Korean larch (L.olgeiisis var,Chang-paienA.b) experimental plots aa well as simulation studies.We show that the FOCE-SQP method converges fast with high accuracy.Applications of the general formulation of NLME models are illustrated with an analysis of the Korean larch data. 展开更多
关键词 CROSSED RANDOM EFFECTS first-order CONDITIONAL expansion nested RANDOM EFFECTS NONLINEAR mixed-effects models sequential quadratic programming
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Modified landfill gas generation rate model of first-order kinetics and two-stage reaction
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作者 Jiajun CHEN Hao WANG Na ZHANG 《Frontiers of Environmental Science & Engineering》 SCIE EI CSCD 2009年第3期313-319,共7页
This investigation was carried out to establish a new domestic landfill gas(LFG)generation rate model that takes into account the impact of leachate recirculation.The first-order kinetics and two-stage reaction(FKTSR)... This investigation was carried out to establish a new domestic landfill gas(LFG)generation rate model that takes into account the impact of leachate recirculation.The first-order kinetics and two-stage reaction(FKTSR)model of the LFG generation rate includes mechanisms of the nutrient balance for biochemical reaction in two main stages.In this study,the FKTSR model was modified by the introduction of the outflow function and the organic acid conversion coefficient in order to represent the in-situ condition of nutrient loss through leachate.Laboratory experiments were carried out to simulate the impact of leachate recirculation and verify the modified FKTSR model.The model calibration was then calculated by using the experimental data.The results suggested that the new model was in line with the experimental data.The main parameters of the modified FKTSR model,including the LFG production potential(L0),the reaction rate constant in the first stage(K1),and the reaction rate constant in the second stage(K2)of 64.746 L,0.202 d^(–1),and 0.338 d^(–1),respectively,were comparable to the old ones of 42.069 L,0.231 d^(–1),and 0.231 d^(–1).The new model is better able to explain the mechanisms involved in LFG generation. 展开更多
关键词 landfill gas(LFG) generation rate model first-order kinetics two-stage reaction outflow function
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Renormalization group theory for temperature-driven first-order phase transitions in scalar models
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作者 Ning Liang Fan Zhong 《Frontiers of physics》 SCIE CSCD 2017年第6期79-96,共18页
We study the scaling and universal behavior of temperature-driven first-order phase transitions in scalar models. These transitions are found to exhibit rich phenomena, though they are controlled by a single complex-c... We study the scaling and universal behavior of temperature-driven first-order phase transitions in scalar models. These transitions are found to exhibit rich phenomena, though they are controlled by a single complex-conjugate pair of imaginary fixed points of φ3 theory. Scaling theories and renormalization group theories are developed to account for the phenomena, and three universality classes with their own hysteresis exponents are found: a field-like thermal class, a partly thermal class, and a purely thermal class, designated, respectively, as Thermal Classes I, II, and III. The first two classes arise from the opposite limits of the scaling forms proposed and may cross over to each other depending on the temperature sweep rate. They are both described by a massless model and a purely massive model, both of which are equivalent and are derived from φ3 theory via symmetry. Thermal Class III characterizes the cooling transitions in the absence of applied external fields and is described by purely thermal models, which include cases in which the order parameters possess different symmetries and thus exhibit different universality classes. For the purely thermal models whose free energies contain odd-symmetry terms, Thermal Class III emerges only at the mean-field level and is identical to Thermal Class II. Fluctuations change the model into the other two models. Using the extant three- and two- loop results for the static and dynamic exponents for the Yang-Lee edge singularity, respectively, which falls into the same universality class as φ3 theory, we estimate the thermal hysteresis exponents of the various classes to the same precision. Comparisons with numerical results and experiments are briefly discussed. 展开更多
关键词 first-order phase transitions thermal phase transitions renormalization group theory φ3theory scaling and universality thermal classes instability exponents finite-time scaling scalar model dynamics thermal hysteresis
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基于自抗扰的感应电机无模型预测电流控制 被引量:2
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作者 贺虎成 徐景哲 +3 位作者 谭阜琛 刘洵文 张杰 翟恒 《电力系统保护与控制》 EI CSCD 北大核心 2024年第13期149-160,共12页
针对采用传统比例积分(proportional integral,PI)控制算法的感应电机在面对复杂扰动时控制性能降低的问题,基于矢量控制系统,提出了感应电机的自抗扰(active disturbance rejection control,ADRC)无模型预测控制(model-free predictive... 针对采用传统比例积分(proportional integral,PI)控制算法的感应电机在面对复杂扰动时控制性能降低的问题,基于矢量控制系统,提出了感应电机的自抗扰(active disturbance rejection control,ADRC)无模型预测控制(model-free predictive control,MFPC)方法。首先,结合转速环和磁链环数学模型,设计了转速环和磁链环的ADRC控制器,对负载变化和内参摄动产生的内外扰动进行观测并补偿。其次,为避免内环控制器对电机参数的依赖,基于无模型控制原理,建立了dq电流环的超局部方程,将控制量之外的变量视为干扰量,并引入非线性扩张状态观测器估计干扰量。最后,结合预测控制思想设计了电流环控制器,得到开关状态作用于逆变器。仿真与实验结果表明提出的算法相对PI算法有更好的抗扰性和鲁棒性,可以有效提高感应电机的动态和稳态性能。 展开更多
关键词 感应电机 自抗扰控制 无模型控制 超局部方程 预测控制
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Effect of 2D spatial variability on slope reliability: A simplified FORM analysis 被引量:15
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作者 Jian Ji Chunshun Zhang +1 位作者 Yufeng Gao Jayantha Kodikara 《Geoscience Frontiers》 SCIE CAS CSCD 2018年第6期1631-1638,共8页
To meet the high demand for reliability based design of slopes, we present in this paper a simplified HLRF(Hasofere Linde Rackwitze Fiessler) iterative algorithm for first-order reliability method(FORM). It is simply ... To meet the high demand for reliability based design of slopes, we present in this paper a simplified HLRF(Hasofere Linde Rackwitze Fiessler) iterative algorithm for first-order reliability method(FORM). It is simply formulated in x-space and requires neither transformation of correlated random variables nor optimization tools. The solution can be easily improved by iteratively adjusting the step length. The algorithm is particularly useful to practicing engineers for geotechnical reliability analysis where standalone(deterministic) numerical packages are used. Based on the proposed algorithm and through direct perturbation analysis of random variables, we conducted a case study of earth slope reliability with complete consideration of soil uncertainty and spatial variability. 展开更多
关键词 SLOPE stability Spatial VARIABILITY RANDOM field model PROBABILITY of failure HLRF algorithm first-order reliability method(FORM)
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Bubble dynamics in a strong first-order quark-hadron transition 被引量:1
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作者 Shuying Zhou Song Shu Hong Mao 《Chinese Physics C》 SCIE CAS CSCD 2021年第4期98-106,共9页
We investigate the dynamics of a strong first-order quark-hadron transition driven by cubic interactions via homogeneous bubble nucleation in the Friedberg-Lee model.The one-loop effective thermodynamic potential of t... We investigate the dynamics of a strong first-order quark-hadron transition driven by cubic interactions via homogeneous bubble nucleation in the Friedberg-Lee model.The one-loop effective thermodynamic potential of the model and the critical bubble profiles have been calculated at different temperatures and chemical potentials.By taking the temperature and the chemical potential as variables,the evolutions of the surface tension,the typical radius of the critical bubble,and the shift in the coarse-grained free energy in the presence of a nucleation bubble are obtained,and the limit on the reliability of the thin-wall approximation is also addressed accordingly.Our results are compared to those obtained for a weak first-order quark-hadron phase transition;in particular,the spinodal decomposition is relevant. 展开更多
关键词 first-order phase transition NUCLEATION Friedberg-Lee model quark-hadron phase transition
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