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Breakdown of Energy Equipartition in Vibro-Fluidized Granular Media in Micro-Gravity

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Chinese Physics Letters 2012年第7期29卷 160-163页

作者： CHEN Yan-Pei Pierre Evesque hou mei-ying Key Laboratory of Soft Matter Physics Beijing National Laboratory for Condensed Matter PhysicsInstitute of PhysicsChinese Academy of SciencesBeijing 100190 Lab MSSMat Ecole Centrale de ParisUMR 8579 CNRS92295 Châtenay-Malabry CedexFrance

We present a micro-gravity experimental study of intermediate number density vibro-fluidized inelastic spheres in a rectangular *** velocity distributions are investigated,and are found to deviate measurably from a symmetric distribution for the velocity component of the vibrating direction when dividing particles along the vibration direction into several *** feature does not exist in the molecular *** further study the hydrodynamic profiles of pressures p and temperatures T in positive and negative components,such as p+y and p-y and T+y and T-y,in accordance with the sign of velocity components of the vibrating *** vibration direction,granular media are found to be not only inhomogeneous and anisotropic,but also different greatly in positive and negative *** equipartition breaks down in this case.

关键词： partition vibrating dividing

Directed segregation in compartmentalized bi-disperse granular gas

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Chinese Physics B 2012年第1期21卷 284-288页

作者： Sajjad Hussain Shah Li Yin-Chang Cui Fei-Fei Zhang Qi hou mei-ying Physics Department Beijing Institute of TechnologyBeijing 100081China Institute of Physics Chinese Academy of SciencesBeijing 100190China

A bi-disperse granular gas in an asymmetrical two-compartment system is studied experimentally. The presence of asymmetry within the range of our experimental parameters results in a directed segregated state and a directed clustering state. This deterministic system does not depend on the initial conditions. A modified flux model based on Lohse＇s flux model for bi-disperse granular gases is derived. The modified flux model explains qualitatively the experimental results.

关键词： granular matter segregation nonlinear dynamics

Irregular Oscillation of Bi-disperse Granular Gas in Cyclic Three Compartments

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Chinese Physics Letters 2012年第3期29卷 128-131页

作者： Sajjad Hussain Shah LI Yin-Chang CUI Fei-Fei ZHANG Qi Pierre Evesque hou mei-ying Department of Physics Beijing Institute of TechnologyBeijing 100081 Institute of Physics Chinese Academy of SciencesBeijing 100190 Lab MSSMat EcoleCentrale de Paris92295 Châtenay-MalabryFrance

A 3-D molecular dynamics simulation of a bi-disperse vibro-fluidized granular gas in a cyclic three-compartment cell is performed.A cluster of particles is randomly found in one of the ***'s flux model is modified to incorporate inelastic particle-boundary *** model predicts that periodically there is clustering in each *** is then found that if the model is further modified to incorporate Gaussian white noise,it correctly predicts the non-sequential clustering behavior confirming that there is no chaotic behavior.

关键词： behavior disperse incorporate

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang hou ying Liang Zhongyue Zou Xuesong mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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三维颗粒气体相分离现象

物理学报 2008年第8期57卷 4660-4666页

作者：刘锐李寅阊厚美瑛中国科学院物理研究所北京凝聚态物理国家实验室北京100190

颗粒体系是一类复杂的耗散体系.在颗粒气体中,耗散性质会使其内部形成局部的凝聚,类似于真实气体中亚稳分解形成的液滴,因此被认为是颗粒气液两相分离的过程.零重力环境下二维颗粒气体相分离现象已有成熟的流体静力学理论解释,将该理论... 详细信息

颗粒体系是一类复杂的耗散体系.在颗粒气体中,耗散性质会使其内部形成局部的凝聚,类似于真实气体中亚稳分解形成的液滴,因此被认为是颗粒气液两相分离的过程.零重力环境下二维颗粒气体相分离现象已有成熟的流体静力学理论解释,将该理论模型推广到三维情形,发现相分离现象依然存在且具有同样的不稳定性根源,通过理论计算给出了三维相分离发生的具体条件.同时,用分子动力学方法模拟检验了理论结果,并给出了三维颗粒气体相分离的新形貌.

关键词：颗粒气体耗散相分离分子动力学模拟

振动驱动颗粒气体体系的局域态本构关系的实验验证

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物理学报 2013年第16期62卷 234-239页

作者：陈延佩 Pierre Evesque 厚美瑛中科院物理研究所北京凝聚态物理国家重点实验室 Lab MSSMat Ecole Centrale Paris UMR 8579 CNRS Chatenay-Malabry Cedex 92295 France

对准二维、水平边界振动驱动的颗粒气体体系的流体力学参量进行了局域态本构关系的实验研究.实验观测结果与经典动力学理论预测进行了比较.由于颗粒气体空间分布的不均匀性,颗粒体系的整体本构关系不成立,有必要对局域态进行分析.局域... 详细信息

对准二维、水平边界振动驱动的颗粒气体体系的流体力学参量进行了局域态本构关系的实验研究.实验观测结果与经典动力学理论预测进行了比较.由于颗粒气体空间分布的不均匀性,颗粒体系的整体本构关系不成立,有必要对局域态进行分析.局域态本构关系是指颗粒系统的局域温度、局域压强和局域数密度之间的关系.通过颗粒速度的方向变化,可以得到颗粒的碰撞点.因此在计算压力张量的对角线项时,除了动力学部分之外,我们计入了颗粒碰撞的影响,得到了一个约为常数的压力张量迹,即颗粒压强的空间分布,与流体力学理论预测以及分子动力学模拟结果相符合;但是颗粒温度和数密度的空间分布,在振动的正反两个方向的分量出现差异,并且温度、压强和数密度之间的局域本构关系,无论在低密度或高密度区域,实验与理论预测在定性上一致,但定量上都有较大差别.因此经典流体力学理论在描述这样的体系时需加以修正.

关键词：颗粒气体态方程流体力学

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沙子里的图案

物理 2008年第2期37卷 93-97页

作者：厚美瑛中国科学院物理研究所北京凝聚态物理国家实验室北京100080

文章从物理学家的角度探讨颗粒体系中有序图案的产生和机理,探寻对广泛存在于自然界的非平衡态体系有序结构生成的理解.非平衡态体系的随机扩散与能量耗散的特性是有序结构生成的必备条件,所生成的图形则由这两个因素的权重比值和体系... 详细信息

文章从物理学家的角度探讨颗粒体系中有序图案的产生和机理,探寻对广泛存在于自然界的非平衡态体系有序结构生成的理解.非平衡态体系的随机扩散与能量耗散的特性是有序结构生成的必备条件,所生成的图形则由这两个因素的权重比值和体系内部的对称性决定.具备以上因素,还需加上最后的一个决定性的关键因素,这就是熵的驱动.熵最大的态决定了体系是有序还是无序的排列.

关键词：颗粒物质有序结构复杂体系

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颗粒气体的团簇行为

物理 2016年第4期45卷 230-233页

作者：厚美瑛中国科学院物理研究所北京100190

颗粒体系由于粒子间非弹性碰撞和摩擦等内秉的能量耗散特性,由宏观粒子形成的颗粒气体体系经常会有局部凝聚现象,这是颗粒气体体系与分子气体体系的最大区别之一。理解和预测这一现象的发生将有助于人们对远离平衡态体系的复杂现象(如... 详细信息

颗粒体系由于粒子间非弹性碰撞和摩擦等内秉的能量耗散特性,由宏观粒子形成的颗粒气体体系经常会有局部凝聚现象,这是颗粒气体体系与分子气体体系的最大区别之一。理解和预测这一现象的发生将有助于人们对远离平衡态体系的复杂现象(如有序结构、斑图和团簇形成)的认知。这种局部凝聚现象可以类比于分子气体中亚稳分解形成的液滴,将气液相分离用于解释和寻求局部凝聚现象的模型得到了分子动力学模拟的校验。但是实验的校验却由于宏观粒子运动受重力作用的影响难以在实验室中实现。实践十号卫星为我们提供了长时稳定微重力条件,使得实验观察成为可能,有望获得团簇形成及颗粒冷却行为等颗粒动力学重要实验结果。

关键词：颗粒物质微重力团簇

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颗粒气体团簇行为实验研究

物理学报 2016年第1期65卷 258-264页

作者：王花陈琼王文广厚美瑛北京理工大学物理学院北京100081 中国科学院物理研究所软物质物理重点实验室北京凝聚态物理国家实验室北京100190

颗粒体系由于非弹性碰撞和摩擦等内秉的能量耗散特性,由宏观粒子形成的颗粒气体体系经常会有局部凝聚现象,这是颗粒气体体系与分子气体体系的最大区别之一.理解和预测这一现象的发生将有助于人们对远离平衡态体系的复杂现象,如有序结构... 详细信息

颗粒体系由于非弹性碰撞和摩擦等内秉的能量耗散特性,由宏观粒子形成的颗粒气体体系经常会有局部凝聚现象,这是颗粒气体体系与分子气体体系的最大区别之一.理解和预测这一现象的发生将有助于人们对远离平衡态体系的复杂现象,如有序结构、斑图和团簇形成的认知.这种局部凝聚现象可以类比于分子气体中亚稳分解形成的液滴,将气液相分离用于解释和寻求局部凝聚现象的此模型得到了分子动力学模拟的校验.但是实验的校验却由于宏观粒子运动受重力作用的影响难以在实验室中实现.作为实践十号卫星的前期实验,本文利用国家微重力实验室落塔装置,以水平激振装有不同尺寸和数目的颗粒样品,在短时微重力条件下,成功观察到颗粒气体团簇的形成;并将实验结果与颗粒气体类范德瓦耳斯气体分子相分离模型对比,由形成团簇样品的颗粒数密度条件,来实验确定了所选颗粒的恢复系数,得到直径为0.5 mm的钛珠颗粒的恢复系数在0.6—0.8之间,直径为1 mm的钛珠颗粒的恢复系数约为0.8,直径为2.5 mm的钛珠颗粒的恢复系数应大于0.8.

关键词：颗粒气体微重力团簇落塔