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In this paper, a new formalism for the filtered density function (FDF) approach is developed for the treatment of turbulent polydispersed two-phase flows in LES simulations. Contrary to the FDF used for turbulent reactive single-phase…

流体动力学 · 物理学 2012-02-07 Sergio Chibbaro , jean-Pierre Minier

Subcritical transition of an inhomogeneous plasma where turbulences with different characteristic space-time scales coexist is analyzed with methods of statistical physics of turbulences. We derived the development equations of the…

等离子体物理 · 物理学 2007-05-23 Mitsuhiro Kawasaki , Sanae-I. Itoh , Kimitaka Itoh

In this paper, we consider distributed maximum likelihood estimation (MLE) with dependent quantized data under the assumption that the structure of the joint probability density function (pdf) is known, but it contains unknown deterministic…

信息论 · 计算机科学 2013-09-17 Xiaojing Shen , Pramod K. Varshney , Yunmin Zhu

We investigate the statistics of turbulence in emulsions of two-immiscible fluids of same density. We compute for the first time velocity increments between points conditioned to be located in the same phase or in different phases and…

流体动力学 · 物理学 2023-01-05 Marco Crialesi-Esposito , Guido Boffetta , Luca Brandt , Sergio Chibbaro , Stefano Musacchio

Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of multiple probability density functions (pdfs) of a…

信号处理 · 电气工程与系统科学 2023-01-20 Günther Koliander , Yousef El-Laham , Petar M. Djurić , Franz Hlawatsch

This paper proposes a widely applicable method of approximate maximum-likelihood estimation for multivariate diffusion process from discretely sampled data. A closed-form asymptotic expansion for transition density is proposed and…

统计理论 · 数学 2013-08-14 Chenxu Li

This article summarizes recent progress in our understanding of the reaction mechanisms leading to the formation of superheavy nuclei in cold and hot fusion reactions. Calculations are done within the Fusion-by-Diffusion (FBD) model using…

核理论 · 物理学 2022-12-14 T. Cap , M. Kowal , K. Siwek-Wilczyńska

Translational diffusion coefficients are routinely estimated from molecular dynamics simulations. Linear fits to mean squared displacement (MSD) curves have become the de facto standard, from simple liquids to complex biomacromolecules.…

计算物理 · 物理学 2020-11-20 Jakob Tómas Bullerjahn , Sören von Bülow , Gerhard Hummer

The response to small perturbations of the Sandia CH4/air flame series is studied using a dynamical systems formula- tion. Here, the Sandia D and E turbulent partially-premixed flames are computed using large eddy simulation (LES) with a…

流体动力学 · 物理学 2018-06-11 Malik Hassanaly , Venkat Raman

Three-dimensional numerical simulations of canonical statistically-steady statistically-planar turbulent flames have been used in an attempt to produce distributed burning in lean methane and hydrogen flames. Dilatation across the flame…

流体动力学 · 物理学 2019-05-22 A. J. Aspden , M. S. Day , J. B. Bell

In order to explore the influence of combustion-induced thermal expansion on turbulence, a new research method is introduced. The method consists in jointly applying Helmholtz-Hodge decomposition and conditioned structure functions to…

We propose a new scenario for compound chondrule formation named as "fragment-collision model," in the framework of the shock-wave heating model. A molten cm-sized dust particle (parent) is disrupted in the high-velocity gas flow. The…

天体物理学 · 物理学 2009-11-13 Hitoshi Miura , Seiji Yasuda , Taishi Nakamoto

The transition density of a diffusion process does not admit an explicit expression in general, which prevents the full maximum likelihood estimation (MLE) based on discretely observed sample paths. A\"{\i}t-Sahalia [J. Finance 54 (1999)…

统计理论 · 数学 2012-03-12 Jinyuan Chang , Song Xi Chen

We study analytically and numerically a model describing front propagation of a KPP reaction in a fluid flow. The model consists of coupled one-dimensional reaction-diffusion equations with different drift coefficients. The main rigorous…

偏微分方程分析 · 数学 2007-05-23 Lam Raga A. Markely , David Andrzejewski , Erick Butzlaff , Alexander Kiselev

The vorticity random field of turbulent flow is singled out as the main dynamical variable for the description of turbulence, and the evolution equation of the probability density function (PDF) of the vorticity field has been obtained.…

流体动力学 · 物理学 2022-02-23 Jiawei Li , Zhongmin Qian , Mingrui Zhou

Intermittency in MHD turbulence has been analyzed using high resolution 2D numerical simulations. We show that the Probability Distribution Functions (PDFs) of the fluctuations of the Elsasser fields, magnetic field and velocity field…

混沌动力学 · 物理学 2015-06-26 L. Sorriso-Valvo , V. Carbone , P. Veltri , H. Politano , A. Pouquet

Two-way coupled DNS simulation of particle-laden turbulent Couette-flow [1], in the volume fraction regime $\phi>10^{-4}$, showed a discontinuous decrease of turbulence intensity beyond a critical volume fraction…

流体动力学 · 物理学 2022-04-04 Swagnik Ghosh , Partha Sarathi Goswami

We study self-diffusion and sedimentation in colloidal suspensions of nearly-hard spheres using the multiparticle collision dynamics simulation method for the solvent with a discrete mesh model for the colloidal particles (MD+MPCD). We…

软凝聚态物质 · 物理学 2022-01-26 Yashraj M. Wani , Penelope Grace Kovakas , Arash Nikoubashman , Michael P. Howard

To understand turbulent convection at very high Rayleigh numbers typical of natural phenomena, computational studies in slender cells are an option if the needed resources have to be optimized within available limits. However, the…

流体动力学 · 物理学 2022-10-21 Ambrish Pandey , Dmitry Krasnov , Jörg Schumacher , Ravi Samtaney , Katepalli R. Sreenivasan

We present a hybrid computational method for simulating the dynamics of macromolecules in solution which couples a mesoscale solver for the fluctuating hydrodynamics (FH) equations with molecular dynamics to describe the macromolecule. The…

软凝聚态物质 · 物理学 2007-05-23 G. Giupponi , G. De Fabritiis , P. V. Coveney