COUPLING MATTER AGGLOMERATION WITH MECHANICAL STRESS RELAXATION AS A WAY OF MODELING THE FORMATION OF JAMMED MATERIALS Adam Gadomski Institute of Mathematics.

Slides:



Advertisements
Similar presentations
ON (dis)ORDERED AGGREGATION OF PROTEINS Adam Gadomski & Jacek Siódmiak Institute of Mathematics and Physics University of Technology and Agriculture Bydgoszcz,
Advertisements

The Kinetic Theory of Gases
Mesoscopic nonequilibrium thermoydnamics Application to interfacial phenomena Dynamics of Complex Fluid-Fluid Interfaces Leiden, 2011 Miguel Rubi.
Monte Carlo Methods and Statistical Physics
Prethermalization. Heavy ion collision Heavy ion collision.
General Concepts for Development of Thermal Instruments P M V Subbarao Professor Mechanical Engineering Department Scientific Methods for Construction.
Institute of Technical Physics 1 conduction Hyperbolic heat conduction equation (HHCE) Outline 1. Maxwell – Cattaneo versus Fourier 2. Some properties.
Experimental Design, Response Surface Analysis, and Optimization
Coarsening versus selection of a lenghtscale Chaouqi Misbah, LIPHy (Laboratoire Interdisciplinaire de Physique) Univ. J. Fourier, Grenoble and CNRS, France.
The mesoscopic dynamics of thermodynamic systems J.M. Rubi.
Lecture 14: Spin glasses Outline: the EA and SK models heuristic theory dynamics I: using random matrices dynamics II: using MSR.
P M V Subbarao Professor Mechanical Engineering Department
Bayesian Nonparametric Matrix Factorization for Recorded Music Reading Group Presenter: Shujie Hou Cognitive Radio Institute Friday, October 15, 2010 Authors:
Energy. Simple System Statistical mechanics applies to large sets of particles. Assume a system with a countable set of states.  Probability p n  Energy.
Introducing Some Basic Concepts Linear Theories of Waves (Vanishingly) small perturbations Particle orbits are not affected by waves. Dispersion.
Elements of Thermodynamics Indispensable link between seismology and mineral physics.
Fluctuations and Brownian Motion 2  fluorescent spheres in water (left) and DNA solution (right) (Movie Courtesy Professor Eric Weeks, Emory University:
CE 1501 CE 150 Fluid Mechanics G.A. Kallio Dept. of Mechanical Engineering, Mechatronic Engineering & Manufacturing Technology California State University,
Thermal Properties of Crystal Lattices
A Closed Form Simulation of a Coarsening Analog System Vaughan Voller, University of Minnesota a·nal·o·gy Similarity in some respects between things that.
Critical Scaling at the Jamming Transition Peter Olsson, Umeå University Stephen Teitel, University of Rochester Supported by: US Department of Energy.
Jamming Peter Olsson, Umeå University Stephen Teitel, University of Rochester Supported by: US Department of Energy Swedish High Performance Computing.
PHY 042: Electricity and Magnetism
CHAPTER 8 APPROXIMATE SOLUTIONS THE INTEGRAL METHOD
Calibration & Curve Fitting
Conservation Laws for Continua
Data Mining Techniques
Numbers and Quantity Extend the Real Numbers to include work with rational exponents and study of the properties of rational and irrational numbers Use.
1 Engineering Mathematics Ⅰ 呂學育 博士 Oct. 6, Short tangent segments suggest the shape of the curve Direction Fields 輪廓 Slope= x y.
Molecular Information Content
Number-Theoretic Aspects of Matter Agglomeration/Aggregation Modelling in Dimension d Adam Gadomski Institute of Mathematics and Physics U.T.A. Bydgoszcz,
BsysE595 Lecture Basic modeling approaches for engineering systems – Summary and Review Shulin Chen January 10, 2013.
Thermodynamics of Dielectric Relaxations in Complex Systems TUTORIAL 3.
Percolation in self-similar networks Dmitri Krioukov CAIDA/UCSD M. Á. Serrano, M. Boguñá UNT, March 2011.
1st Law: Conservation of Energy Energy is conserved. Hence we can make an energy balance for a system: Sum of the inflows – sum of the outflows is equal.
Critical Phenomena in Random and Complex Systems Capri September 9-12, 2014 Spin Glass Dynamics at the Mesoscale Samaresh Guchhait* and Raymond L. Orbach**
Aggregation Effects - Spoilers or Benefactors of Protein Crystallization ? Adam Gadomski Institute of Mathematics and Physics University of Technology.
Conceptual Modelling and Hypothesis Formation Research Methods CPE 401 / 6002 / 6003 Professor Will Zimmerman.
The Ideal Monatomic Gas. Canonical ensemble: N, V, T 2.
Stochastic Thermodynamics in Mesoscopic Chemical Oscillation Systems
FLUID PROPERTIES Independent variables SCALARS VECTORS TENSORS.
 We just discussed statistical mechanical principles which allow us to calculate the properties of a complex macroscopic system from its microscopic characteristics.
Adam Gadomski Institute of Mathematics and Physics University of Technology and Agriculture Bydgoszcz, Poland Kinetics of growth process controlled by.
Lecture III Trapped gases in the classical regime Bilbao 2004.
Experimental study of gas-liquid mass transfer coupled with chemical reactions by digital holographic interferometry C. Wylock, S. Dehaeck, T. Cartage,
Some Aspects of the Godunov Method Applied to Multimaterial Fluid Dynamics Igor MENSHOV 1,2 Sergey KURATOV 2 Alexander ANDRIYASH 2 1 Keldysh Institute.
M. Onofri, F. Malara, P. Veltri Compressible magnetohydrodynamics simulations of the RFP with anisotropic thermal conductivity Dipartimento di Fisica,
Modeling Biosystems Mathematical models are tools that biomedical engineers use to predict the behavior of the system. Three different states are modeled.
Chapter 1 INTRODUCTION AND OVERVIEW
Efficiency of thermal radiation energy-conversion nanodevices Miguel Rubi I. Latella A. Perez L. Lapas.
AP Physics 1: Unit 0 Topic: Language of Physics Learning Goals: Compare and contrast object and system Define the make up of an object of a system of objects.
Beyond Onsager-Machlup Theory of Fluctuations
Monatomic Crystals.
Graduate School of Information Sciences, Tohoku University
Review Of Statistical Mechanics Continued
ECE-7000: Nonlinear Dynamical Systems 2. Linear tools and general considerations 2.1 Stationarity and sampling - In principle, the more a scientific measurement.
Affect of Variables on Recrystallization
MA354 Math Modeling Introduction. Outline A. Three Course Objectives 1. Model literacy: understanding a typical model description 2. Model Analysis 3.
Effective Disorder Temperature and Nonequilibrium Thermodynamics of Amorphous Materials J.S. Langer & Eran Bouchbinder Statistical Mechanics Conference.
Lecture 7. Thermodynamic Identities (Ch. 3). Diffusive Equilibrium and Chemical Potential Sign “-”: out of equilibrium, the system with the larger  S/
Initial conditions for N-body simulations Hans A. Winther ITA, University of Oslo.
Thermodynamics, fluctuations, and response for systems out of equilibrium Shin-ichi Sasa (University of Tokyo) 2007/11/05 in collaboration with T.S. Komatsu,
1 Bhupendra Nath Tiwari IIT Kanpur in collaboration with T. Sarkar & G. Sengupta. Thermodynamic Geometry and BTZ black holes This talk is mainly based.
THEME: Theoretic bases of bioenergetics. LECTURE 6 ass. prof. Yeugenia B. Dmukhalska.
1/f-Noise in systems with multiple transport mechanisms K K Bardhan and C D Mukherjee Saha Institute of Nuclear Physics, India UPoN 5, Lyon, 5 June, 2008.
Water Problems Institute of Russian Academy of Science
Hydrodynamics of slowly miscible liquids
Simple ODEs to Study Thermofluids
Presentation transcript:

COUPLING MATTER AGGLOMERATION WITH MECHANICAL STRESS RELAXATION AS A WAY OF MODELING THE FORMATION OF JAMMED MATERIALS Adam Gadomski Institute of Mathematics and Physics University of Technology and Agriculture Bydgoszcz, Poland XIX SITGES CONFERENCE JAMMING, YIELDING, AND IRREVERSIBLE DEFORMATION June, 2004, Universitat de Barcelona, Sitges, Catalunya

OBJECTIVE: TO COUPLE, ON A CLUSTER MESOSCOPIC LEVEL & IN A PHENOMENOLOGICAL WAY, ADVANCED STAGES OF CLUSTER-CLUSTER AGGREGATION WITH STRESS-STRAIN FIELDS XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION

THE PHENOMENOLOGY BASED UPON A HALL-PETCH LIKE RELATIONSHIP CONJECTURE FOR CLUSTER-CLUSTER LATE-TIME AGGREGATION XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION - internal stress accumulated in the inter-cluster spaces -average cluster radius, to be inferred from the growth model; a possible extension, with a q, like

TWO-PHASE SYSTEM Model cluster- cluster aggregation of one-phase molecules, forming a cluster, in a second phase (solution): (A) An early growing stage – some single cluster (with a double layer) is formed; (B) A later growing stage – many more clusters are formed XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION

Dense Merging (left) vs Undense Merging (right) (see, Meakin & Skjeltorp, Adv. Phys. 42, 1 (1993), for colloids) TYPICAL CLUSTER-MERGING (3 GRAINS) MECHANISMS: XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION

RESULTING 2D-MICROSTRUCTURE IN TERMS OF DIRICHLET-VORONOI MOSAIC REPRESENTATION (for model colloids – Earnshow & Robinson, PRL 72, 3682 (1994)) XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION INITIAL STRUCTUREFINAL STRUCTURE

XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION „Two-grain” model: a merger between growth&relaxation „Two-grain” spring-and- dashpot Maxwell- like model with (un)tight piston: a quasi-fractional viscoelastic element

THE GROWTH MODEL COMES FROM MNET (Mesoscopic Nonequilibrium Thermodynamics, Vilar & Rubi, PNAS 98, (2001)): a flux of matter specified in the space of cluster sizes XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION - hypervolume of a single cluster (internal variable) -independent parameters <-Note: cluster surface is crucial! drift term diffusion term surface - to - volume characteristic exponent scaling: holds !

GIBBS EQUATION OF ENTROPY VARIATION AND THE FORM OF DERIVED POTENTIALS AS ‘STARTING FUNDAMENTALS’ OF CLUSTER-CLUSTER LATE-TIME AGGREGATION XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION -internal variable and time dependent chemical potential -denotes variations of entropy S and (i) Potential for dense micro-aggregation (another one for nano-aggregation is picked up too): (ii) Potential for undense micro-aggregation:

Local conservation law: IBCs (IC usually of minor importanmce): a typical BCs prescribed XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION additional sources = zero divergence operator Local conservation law and IBCs

AFTER SOLVING THE STATISTICAL PROBLEM IS OBTAINED USEFULL PHYSICAL QUANTITIES: TAKEN MOST FREQUENTLY (see, discussion in: A. Gadomski et al. Physica A 325, 284 (2003)) FOR THE MODELING where XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION

Dense merging of clusters: Undense merging of clusters: the exponent reads: one over superdimension (cluster-radius fluctuations) XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION the exponent reads: space dimension over space superdimension specific volume fluctuations REDUCED VARIANCES AS MEASURES OF HYPERVOLUME FLUCTUATIONS

An important fluctuational regime of d-DIMENSIONAL MATTER AGGREGATION COUPLED TO STRESS RELAXATION FIELD XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION fluctuational modeHall-Petch contribution

AT WHICH BASIC GROWTH RULE DO WE ARRIVE ? HOW DO THE INTERNAL STRESS RELAX ? Answer: We anticipate appearence of power laws. Bethe-lattice generator: a signature of mean-field approximation for the relaxation ? It builds Bethe latt. in 3-2 mode XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION - d-dependent quantity - a relaxation exponent based on the above

ABOUT A ROLE OF MEAN HARMONICITY: TOWARD A ‘PRIMITIVE’ FIBONACCI SEQUENCING (model colloids)? Remark: No formal proof is presented so far but... They both obey mean harmonicity rule, indicating, see [M.H.] that the case d=2 is the most effective !!! CONCLUSION: Matter aggregation (in its late stage) and mechanical relaxation are also coupled linearly by their characteristic exponents... XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION

CONCEPT of Random Space – Filling Systems * Problem looks dimensionality dependent (superdimension!): Any reasonable characteristics is going to have (d+1) – account in its exponent’s value. Is this a signature of existence of RCP (randomly close-packed) phases ? * R.Zallen, The Physics of Amorphous Solids, Wiley, NY,1983

 UTILISING A HALL-PETCH (GRIFFITH) LIKE CONJECTURE ENABLES TO COUPLE LATE-STAGE MATTER AGGREGATION AND MECHANICAL RELAXATION EFFECTIVELY  SUCH A COUPLING ENABLES SOMEONE TO STRIVE FOR LINKING TOGETHER BOTH REGIMES, USUALLY CONSIDERED AS DECOUPLED, WHICH IS INCONSISTENT WITH EXPERIMENTAL OBSERVATIONS FOR TWO- AS WELL AS MANY-PHASE (SEPARATING) VISCOELASTIC SYSTEMS  THE ON-MANY-NUCLEI BASED GROWTH MODEL, CONCEIVABLE FROM THE BASIC PRINCIPLES OF MNET, AND WITH SOME EMPHASIS PLACED ON THE CLUSTER SURFACE, CAPTURES ALMOST ALL THE ESSENTIALS IN ORDER TO BE APPLIED TO SPACE DIMENSION AS WELL AS TEMPERATURE SENSITIVE INTERACTING SYSTEMS, SUCH AS COLLOIDS AND/OR BIOPOLYMERS (BIOMEMBRANES; see P.A. Kralchevsky et al., J. Colloid Interface Sci. 180, 619 (1996))  IT OFFERS ANOTHER PROPOSAL OF MESOSCOPIC TYPE FOR RECENTLY PERFORMED 2D EXPERIMENTS CONSIDERED BASED ON MICROSCOPIC GROUNDS, e.g. F. Ghezzi et al. J. Colloid Interface Sci. 251, 288 (2002) XIX SITGES CONFERENCE JAMMING,YIELDING, AND IRREVERSIBLE DEFORMATION CONCLUSIONS

LITERATURE: - A.G. (mini-review) Nonlinear Phenomena in Complex Systems 3, (2000) - J.M. Rubi, A.G. Physica A 326, (2003) - A.G., J.M. Rubi Chemical Physics 293, (2003) - A.G. Modern Physics Letters B 11, (1997) ACKNOWLEDGEMENT !!!