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Presentation at Holcim, May 1, 2002

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DHrxo = -17.88 kJ/mole. kf. kr. HydratiCA: Temperature Effects ... kdiss = 1.0 x 10-4 mole/s. Nuc rate coefficient = 109 s-1. CSH transport factor = 0.3 P ... – PowerPoint PPT presentation

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Title: Presentation at Holcim, May 1, 2002


1
A New Model for Predicting Hydration Kinetics and
Microstructure Development in Cement Paste
Jeff Bullard NIST
ACBM Technical Review, March 2006
2
Modeling Challenges Chemistry
  • Tricalcium Silicate (idealized)
  • Dissolution
  • Ca3SiO5 3 H2O ? 3 Ca2 H2SiO42- 4 OH-
  • Growth of C-S-H
  • x Ca2 H2SiO42- 2(x-1) OH- ? CaOxSiO2H2O
  • Growth of Portlandite
  • Ca2 2 OH- ? Ca(OH)2
  • Value of x depends on local pore solution
    chemistry

3
Modeling Challenges Chemistry
  • Tricalcium Aluminate (idealized)
  • Net Reactions Without Gypsum or CH
  • 2 C3A 27 H ? C2AH8 C4AH19 ? C3AH6
  • C3A 6 H ? C3AH6 (gt 30 C)
  • Net Reactions With CH
  • C3A CH 12 H ? C4AH13
  • Net Reactions With Gypsum (gt 2-3)
  • C3A 3 CSH2 26 H ? C6AS3H32 (initial)

4
Modeling Challenges Structure
Micro-scale
  • Kinetic Implications
  • Nucleation sites
  • C-S-H growth diffusion barrier
  • Water availability

75 µm
  • Property Implications
  • Porosity forms 3-D percolating network
  • Solids may begin as percolating (or not) soft
    clusters later form stiff percolating network

ACBM Technical Review, March 2006
5
Modeling Challenges Structure
Nano-scale
IP
OP
Porosity
Micrograph courtesy of I.G. Richardson, University
of Leeds
50 nm
CaxSiO(2x)H2O
ACBM Technical Review, March 2006
6
Modeling Challenges Structure
Nano-scale
C3S Paste, 20C, 8 yr
IP
OP
IP
Micrographs courtesy of I.G. Richardson, Universit
y of Leeds
OP
C3S Paste, 80C, 8 d
7
Some Available Models
  • CEMHYD3D (NIST)
  • Digital image basis

ACBM Technical Review, March 2006
8
SEM/BSE Image
Ca
Si
Al
Particle Size Distribution
K
K
X-ray element maps
segment image into phases
Measure autocorrelation fns on majority phases
Contributors D. Bentz and P. Stutzman
9
Some Available Models
  • CEMHYD3D (NIST)
  • Digital image basis
  • Accurate microstructure representation
  • Rule-based to mimic reaction and diffusion

ACBM Technical Review, March 2006
10
CEMHYD3D
  • Cellular automaton approach
  • Each volume element is an independent agent that
    can
  • Dissolve
  • Diffuse
  • React

Pore solution
Stepwise random walk on lattice
Collisions between agents, governed by reaction
rules
11
Some Available Models
  • CEMHYD3D (NIST)
  • Digital image basis
  • Accurate microstructure representation
  • Rule-based to mimic reaction and diffusion
  • Little or no kinetic information
  • Magic resolution of 1 µm
  • Primarily interpolative

ACBM Technical Review, March 2006
12
Some Available Models
  • HYMOSTRUC (TU Delft) IPK (EPFL)
  • Continuum basis
  • Chemically homogenized particles
  • Hydration modeled as growth of interparticle
    contacts
  • Phenomenological kinetic equations (e.g.
    Johnson-Avrami-Mehl)
  • Not easily extensible

ACBM Technical Review, March 2006
13
New Model HydratiCA
  • Discretize on regular grid
  • Retain power of CEMHYD3D microstructure
    representation
  • Stochastic methods for diffusion and reaction
  • Algorithms are mechanistically based, and
    converge to standard PDE rate equations
  • Scalable and extensible
  • Applies to general aqueous mineral systems

ACBM Technical Review, March 2006
14
Mesh Class
Dimensions, resolution, clock, phase stats,
thermal condition, moisture conditions, databases
Node Class
neighbors, volume, materials, methods for
transport and rx
Derived Material Classes
Material Database Class
(Liquid, Solid, Gel, Crystal, Solute)
Methods for material-specific behavior encoded
here
Reaction Database Class
ID, reactants, products, molar stoichiometric
coefficients, reaction enthalpy, activation
enthalpy, equilibrium constant baseline rate
constant
Base Material Class
ID, composition, ?, ?, Cp, porosity,
mobility, virtual methods for
material-specific behavior
Ion Database Class
ID, mol wt, radius, intrinsic diffusivity,
charge (immutable)
ACBM Technical Review, March 2006
15
HydratiCA Modeling Aqueous Diffusion
ACBM Technical Review, March 2006
16
HydratiCA Modeling Aqueous Diffusion
  • Based on a random walker algorithm
  • Each computational node contains a number of
    cells of solute and water
  • In any time step, each cell can execute a single
    step in a random direction
  • Probability of stepping is proportional to the
    solute mobility and the time increment

p D Dt/l2
ACBM Technical Review, March 2006
17
Non-steady state diffusion of neutral solute
15 mM
5 mM
l
l
l
100 µm
  • C(x,y,z,0) 0
  • C(0,y,z,t) 15 mM
  • C(100,y,z,t) 5 mM

ACBM Technical Review, March 2006
18
Non-steady state diffusion of neutral solute
ACBM Technical Review, March 2006
19
HydratiCA Ionic Diffusion
  • Effective mobility of a charged species is
    influenced by long-range Coulombic interactions
    with other charged species
  • Local charge neutrality is required, even though
    different ions have different intrinsic diffusion
    coefficients
  • HydratiCA can estimate the electrostatic
    potential at each time step, and include it in
    the electrochemical potential
  • Results in biased random walk

ACBM Technical Review, March 2006
20
Coupled diffusion of ions
DCa 0.7 x 10-5 cm2/s DOH 5.3 x 10-5 cm2/s
ACBM Technical Review, March 2006
21
HydratiCA Modeling Chemical Reactions
ACBM Technical Review, March 2006
22
HydratiCA Modeling Chemical Reactions
k
a A b B ? c C
  • Reaction events are localized within a node
  • List of available reactants is generated and
    compared against reaction database
  • List of possible reactions is built
  • Reaction randomly selected from list
  • Unit reaction is executed (n cells of A and m
    cells of B are removed, p cells of C are added)
    on a probabilistic basis
  • Probability proportional to rate constant k

ACBM Technical Review, March 2006
23
HydratiCA Modeling Equilibrium
kf
a A b B ? c C
kr
c C ? a A b B
At equilibrium
ACBM Technical Review, March 2006
24
HydratiCA Modeling Reactions
Periodic
  • 10 x 10 x 10 nodes
  • Node spacing l 3 µm
  • T 298 K

Solution
Ca(OH)2 Ca2 2OH-
Periodic
Periodic
Ca(OH)2
kf
kr
kf 2.17x10-7 moles/m2/s kr 3.29x10-3
moles/m2/s
Periodic
ACBM Technical Review, March 2006
25
HydratiCA Chemical Equilibrium
Precipitation
Ca(OH)2 Ca2 2OH-
Equilibrium
kf
kr
kf 2.17x10-7 moles/m2/s kr 3.29x10-3
moles/m2/s
Dissolution
ACBM Technical Review, March 2006
26
HydratiCA Temperature Effects

DHf
DHrev
Hr
Hp
x
ACBM Technical Review, March 2006
27
HydratiCA Temperature Effects
ACBM Technical Review, March 2006
28
HydratiCA Nucleation
  • Similar to nucleation of solid from a supercooled
    melt
  • Literature review D. Kaschiev and G.M. van
    Rosmalen, Cryst. Res. Technol. 38 7-8 555-574
    (2003).

For spherical nuclei
ACBM Technical Review, March 2006
29
HydratiCA Modeling Nucleation
Periodic
  • 10 x 10 x 10 nodes
  • Node spacing l 3 µm
  • T 298 K

Solution
Ca(OH)2 Ca2 2OH-
Periodic
Periodic
Inert
kf
kr
kf 2.17x10-7 moles/m2/s kr 3.29x10-3
moles/m2/s
Periodic
ACBM Technical Review, March 2006
30
HydratiCA Nucleation
Ca2 2OH- Ca(OH)2
ACBM Technical Review, March 2006
31
Dirt Speck in Water
Surface Nucleation
Nucleation sites distinguished by nucleation work
ACBM Technical Review, March 2006
32
HydratiCA Modeling Hydration of C3S
ACBM Technical Review, March 2006
33
HydratiCA Hydration of C3S
  • Requires assumptions about chemical reactions and
    mechanisms
  • Alternative theories can, in principle, be tested
    by HydratiCA
  • First theory tested Garrault and Nonat,
    Langmuir 17, 81318138 (2001).
  • Coupled reactions
  • Nucleation of C-S-H occurs on surface of C3S
  • Growth of C-S-H is autocatalytic due to
    increased area of C-S-H surfaces for growth.

ACBM Technical Review, March 2006
34
HydratiCA Hydration of C3S
Periodic
  • 25 x 25 x 25 nodes
  • Node spacing l 4 µm
  • T 298 K

H2O
Periodic
Periodic
C3S
w/c 0.3125 4 m2/kg
Periodic
ACBM Technical Review, March 2006
35
HydratiCA Hydration of C3S
For this original choice of parameters, the
silicate concentration reaches a local maximum at
about 6 minutes.
ACBM Technical Review, March 2006
36
HydratiCA Hydration of C3S
pH increases rapidly over first few minutes,
then more slowly with increasing time as the
rates of consumption and production of OH- are
comparable.
ACBM Technical Review, March 2006
37
HydratiCA Hydration of C3S
  • Control Variables
  • kdiss 1.0 x 10-4 mole/s
  • Nuc rate coefficient 109 s-1
  • CSH transport factor 0.3 P

ACBM Technical Review, March 2006
38
HydratiCA Hydration of C3S
  • The kinetic behavior depends on three main
    parameters
  • C3S dissolution rate const.
  • C-S-H nucleation work
  • Homogeneous
  • Heterogeneous
  • C-S-H growth rate constant

Garrault/Nonat
Garrault/Nonat
ACBM Technical Review, March 2006
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