Bragg Institute Vanessa.peterson@ansto.gov.au Studying the Structure and Hydration Kinetics of Cement Systems in Real-time using Neutron Scattering Vanessa Kate Peterson boxtargetboxtargetCement Research head2righthead2right Understand these sensitivities ? more robust material head2righthead2right Optimizing chemical processes ? better, cheaper product ? Many aspects of cement are unknown ? Cement is complex - and sensitive. ? Many factors affect the final product ? Controlling these factors is difficult. boxtargetboxtarget What is cement clinker? ? Tricalcium silicate is the main component of cement Tricalcium silicate Other major components > 50 % ? Up to 90 % Dicalcium silicate Tricalcium aluminate Tetracalcium aluminoferrite Tricalcium silicate is the fundamental hydraulic component of cement boxtargetboxtarget Ca3SiO5 + (3 + y ? x)H2O (CaO)x(SiO2)(H2O)y + (3 - x)Ca(OH)2 Hydration of Ca 3 SiO5 : Following the hydrogen Real Time Hydration: 30 minute time slices ? Applying Quasielastic Neutron Scattering to follow the hydration ? Incoherent scattering from H boxtargetboxtarget QENS: NIST Center for Neutron Research Neutron time-of-flight Fermi Chopper Spectrometer (FCS) ? Sample 45 ? to the beam ? Reflection geometry data only used ? Incident beam ? = 4.8 ? ? Beam is pulsed by a chopper ? timestamp ? Scattered neutrons arrive at a bank of detectors: 2.29 m ? The detectors record the neutron arrival time boxtargetboxtarget QENS data collection & treatment Incident neutrons, 4.8 ? Scattered neutrons: Energy and momentum At high Q, QENS spectrum is Q independent. Data averaged over a Q range (1.9?2.4 ??1): - focus on rotational dynamics of water. - increase the signal-to-noise ratio boxtargetboxtarget Ca3SiO5 + (3 + y ? x)H2O (CaO)x(SiO2)(H2O)y + (3 - x)Ca(OH)2 QENS: Following the hydrogen Total Hydrogen = Bound + Constrained + Free + boxtargetboxtarget -0.5 0 0.5 Total H Bound H Constrained H Free H ? Contribution to each QENS spectrum: States of hydrogen H2O H Adsorbed on surfaces States of hydrogen: Profile fitting Products meV head2right Fitted from -2 to 2 meV boxtargetboxtargetIntegrated areas: Quantitative information for each H state S(Q,?) = ( ) 2 B 0 354.2/W xx 2 1- 2 B e 354.2/W2? B ???????? ? head2righthead2right Very wide and wide Lorentzians: Free H head2righthead2right Narrow Lorentzian: Constrained H head2righthead2right Gaussian: Bound H + ( ) ( )2 C 2 0 C 2/Wx-x C ?2 W + + ( ) ( )2 F 2 0 1F 2/Wx-x F ?2 W 1 1 + + ( ) ( )2F20 2F 2/Wx-x F ?2 W 2 2 + Quantitative determination of H: profile fitting x = energy transfer and x0 is the peak center ? constrained to be the same WB: Fixed to instrument resolution (0.147 meV) WC: Determined for an average of the last 7 spectra WF1 and WF2: Determined from an average of the first 7 spectra Fixed boxtargetboxtarget QENS profile fitting: Bound Water Index t = 1 hour t = 40 hours ? Can quantitatively derive the H in each state Bound + Constrained H Total H BWI = Allows the hydration to be followed boxtargetboxtarget Experimental: QENS sample preparation ? Water to solid mass ratio of 0.4 ? Mixed by hand for 3 minutes ? Sealed in teflon film ? Placed in can, sealed using In ? Can placed in a closed cycle He refrigerator, 30 ?C. ? Data continuously collected for 50 hours on Fermi Chopper neutron Spectrometer (FCS). boxtargetboxtarget Tricalcium silicate hydration 1. Induction and dissolution Ca2+ OH- H2SiO2-4 H2O C-S-H + Ca(OH)2 3. Diffusion limited hydration + H2O ? C-S-H + Ca(OH)2 2. Nucleation and Growth boxtargetboxtarget -0.025 0.025 0.075 0.125 0.175 0.225 0.275 0.325 0 10 20 30 40 50 60 70 Nucleation and growth Following hydration: BWI with time Q u a n t i t y o f b o u n d H Diffusion limited hydrationB W I Time (hours) Time to Nucleation and Growth Time to Diffusion Limited Hydration Duration boxtargetboxtarget ? On heating unit cell expands, then phase transitions occur ? Polymorphs stabilized in clinker at RT by impurity ions T1 ? T2 ? T3 ? M1 ? M2 ? M3 ? R 620 ?C 920 ?C 980 ?C 990 ?C 1060 ?C 1090 ?C Tricalcium silicate polymorphism Different forms exhibit differing strength! ? Compressive strength has been linked to: Crystal type - symmetry Type of stabilizing ion boxtargetboxtarget QENS: Hydration of tricalcium silicate forms QENS data and hydration models for Mg stabilized T1 and M3 C3S ? Significant differences between hydration behaviors ? Monoclinic sample has half the surface area Peterson, V. K. et al. Chem. Phys. 326, 2006. boxtargetboxtarget QENS: Hydration of C3S forms QENS data and hydration models for Mg stabilized T1 and M3 C3S Peterson, V. K. et al. Chem. Phys. 326, 2006. 0.20121.6M3 0.188.21.3T1 Rate of product formation (dBWI/dt) Time to DL (hours) Time to NG (hours) ? Monoclinic has a longer Nucleation and Growth (NG) period. ? Broad tapering into the Diffusion Limited hydration from the NG period is typical for a broader particle size distribution (consistent with PSD). boxtargetboxtarget -0.025 0.025 0.075 0.125 0.175 0.225 0.275 0.325 0 10 20 30 40 50 60 70 Data Model Kinetic parameters of the hydration BWI(t) = BWI(0) + A[1-exp{-[k(t-ti)]n}] Modeling of the nucleation and growth period: Parameter ?A?: Max. product at infinite timeB W I Hours NG Rate constant ? Intrinsic reactivity (volume independent) boxtargetboxtarget -0.025 0.025 0.075 0.125 0.175 0.225 0.275 0.325 0 10 20 30 40 50 60 70 Data Model Kinetic parameters of the hydration Modeling of the diffusion limited period: Parameter ?Di?: Diffusivity of the water BWI(t)= BWI(0) + [1-{[1-BWI(td)]1/3? (R-1)(2Di)1/2(t-td)1/2}3] B W I B W I boxtargetboxtarget QENS: Hydration of C3S forms QENS data and hydration models for Mg stabilized T1 and M3 C3S Peterson, V. K. et al. Chem. Phys. 326, 2006. 190.160.2M3 0.30.250.1T1 Di (10-15m2h-1)k (hours-1) A ? Monoclinic: ? Intrinsically less reactive ? the way in which protons are accepted by the structure ? Morphological effect - significant permeability of material. ? Slower reaction and higher permeability produces more product (longer NG period) boxtargetboxtarget Effective accelerant Effective retarder QENS: Effect of additives on C3S hydration boxtargetboxtarget Sucrose: known hydration retarder head2right Increases duration of induction period head2right Some suggestion of ?delayed accelerator? Atoms: C, O, H Mechanisms of effects are uncertain, particularly details on kinetics Hypothesis: ? Formation of a half-salt that poisons surfaces, disallowing nucleation. ? Intermediate ability to form this half-salt. ? Stable: does not undergo ring-opening (degradation) in the alkaline paste head2right Other factors ? Chelates with Ca2+ - depressing solution Ca2+. ? Solubilizes silicate in hydrating cement. boxtargetboxtarget Sucrose - QENS -0.02 0.03 0.08 0.13 0.18 0.23 0.28 0.33 0 5 10 15 20 25 30 35 40 45 Hydration time (hours) B W I Water Sucrose (High conc.) Sucrose (Low conc.) Triclinic tricalcium silicate; H2O:cement = 0.4 at 30 ?C 0.01 and 0.04 wt. % sucrose boxtargetboxtarget head2righthead2right Consistent with the literature, commensurate with conc. except: ? No evidence for accelerated reaction. ? What about the ?delayed acceleration? ? Sucrose ? Kinetic Parameters 12.637.825.20.480.08High % Sucrose 8.811.02.20.400.18Low % Sucrose 6.67.91.30.600.19H2O Nucleation and Growth duration (h) td (h)ti (h)Di ( x 10-15m2h-1) k (h-1) ? Retards induction period ? Lengthens the nucleation and growth period ? Nucleation and growth rate constant reduces ? Slightly denser product, consistent with slower production boxtargetboxtarget Sucrose ? Kinetic Parameters 12.637.825.20.480.080.0200.212High % Sucrose 8.811.02.20.400.180.0300.201Low % Sucrose 6.67.91.30.600.190.0220.155H2O Nucleation and Growth duration (h) td (h)ti (h)Di ( x 10-15m2h-1) k (h-1)d(BWI)/dt (h-1) A head2righthead2right More product head2righthead2right Higher rate of formation during NG Delayed ?acceleration? head2righthead2right Higher rate of formation only with low sucrose conc. head2righthead2right k is the instrinsic reactivity ? volume independent head2righthead2right d(BWI)/dt is volume dependent (peaks at Akn) Hypothesis: Solubilization of the silicate species ? Increased ions in solution (more volume, ? d(BWI)/dt) ? Competes with the rate constant (k) reduction ? Commensurate with sucrose concentration boxtargetboxtarget Comparison of Calorimetry and QENS -0.02 0.03 0.08 0.13 0.18 0.23 0.28 0.33 0 5 10 15 20 25 30 35 40 45 Hydration time (hours) B W I Water Sucrose (High conc.) Sucrose (Low conc.) ? Both QENS and calorimetry find more product at the end of NG after hydration with a low sucrose conc. ? The % increase was more with QENS than with calorimetry ? Calorimetry observes the tricalcium silicate dissolution boxtargetboxtarget Calorimetry ? Measures the heat evolved during reaction ? Has been correlated to QENS results for the bound hydrogen component - reflects chemically bound H associated with Ca(OH)2 and C-S-H ? Markers = QENS (Fractional Bound H) ? Line = Calorimetry (Fractional cumulative heat evolved) ? QENS measures constrained and bound H ? Constrained H associated with a C-S-H phase in which water is loosely attached -0.1 0.1 0.3 0.5 0.7 0.9 1.1 0 5 10 15 20 25 F r a c t i o n o f 2 5 h o u r v a l u e 0 Time (hours) F r a c t i o n o f 2 5 h v a l u e Time (hours) boxtargetboxtarget Small Angle Neutron Scattering and QENS ? Evidence for two different C-S-H morphologies: ? Chemically bound H (HS) phase = C1.7SHS(1.6) ? Constrained and chemically bound H (HT) phase = C1.7SHT2.7 J.J. Thomas et al, J Am Ceram Soc 84 (2001). Results suggest sucrose induces a high-surface area C-S-H phase in which water is loosely bound head2righthead2right SANS for hydrating tricalcium silicate: Correlates the constrained H population (QENS) with a high surface area C-S-H phase Soft Synchrotron X-ray Transmission Microscopy results show a high surface area C-S-H with unique morphology (Juenger et al, Proc. of the 11th Int. Cong. Chem. Cem., 2003) boxtargetboxtarget Combined effects: Hydration of different tricalcium silicate forms + additives boxtargetboxtarget Triclinic Monoclinic ? Same effects, observed to a lesser extent with monoclinic ? possibly due to the lower reactivity of the monoclinic form Sucrose added to different C3S forms Results for the monoclinic form support hypotheses from the triclinic study boxtargetboxtarget The accelerator CaCl2 boxtargetboxtarget Hydration of mixtures QENS data and hydration models for Mg stabilized T1 and M3 C3S ? What happens during simultaneous hydration? ? Time to NG and k both lower for the mixture! ? May arise from different product morphologies and solution chemistry Peterson, V. K. et al. Chem. Phys. 326, 2006. boxtargetboxtarget Tricalcium silicate gives cement early strength Interaction of Ca3SiO5 and Ca2SiO4 ? Tricalcium silicate is responsible for strength up to 28 days ? Dicalcium silicate is ~ 20 wt. % of cement ? Adds strength later (months, years) Ca3SiO5 is more reactive than Ca2SiO4. boxtargetboxtarget head2righthead2right Independent hydration has been studied checkbldcheckbld head2righthead2right Interactions are unknown ! QENS: Simultaneous hydration of the calcium silicates Interaction of tricalcium and dicalcium silicate head2righthead2right Pure tricalcium silicate head2righthead2right Pure dicalcium silicate head2righthead2right Intermediate mixtures of the two Kinetic parameters as a function of composition boxtargetboxtarget boxtargetboxtarget Kinetic parameters of the hydration D i ( m 2 h - 1 ) x 1 0 - 1 6 A 5.5 1.5 3.5 maximum A (correlates with early strength) = ? Di (product permeability) = ? % C3S 10080604020 Pure C3SPure C2S boxtargetboxtarget QENS: Optimization in the amount of product at 80-85 wt % tricalcium silicate. Application of inelastic neutron scattering head2righthead2right Confirmation by another method: formation of more product head2righthead2right Ca(OH)2 or CaO-SiO2-H2O: Use Ca(OH)2 Inelastic Neutron Scattering: Can be done with QENS Local interactions of atoms and molecules ? Compare sample spectrum to a reference ? Quantitative! boxtargetboxtarget Inelastic Neutron Spectrum of Ca(OH)2: Vibrational Density of States ? Filter Analyzer Neutron Spectrometer (FANS) head2righthead2right 41 meV represents the main Ca(OH)2 phonon mode ? Sample data taken at 22 hours: Diffusion Limited hydration boxtargetboxtarget Ca(OH)2 amount with mixture composition Increase in Ca(OH)2 at the ?critical composition? identified by QENS 100807060 90 % Tricalcium silicate boxtargetboxtarget Complementary analysis: 28 day compressive strength testing ? Mortars of the mixtures were prepared at 30 ?C ? The QENS and INS prediction of increased strength was tested? boxtargetboxtarget 0 100 200 300 400 500 600 700 -0.1 0.1 0.3 0.5 0.7 0.9 1.1 Ratio of tricalcium silicate in the mixture C o m p r e s s i v e S t r e n g t h ( P o u n d s p e r S q u a r e I n c h ) Strength correlates with QENS results Maximum strength occurs at the predicted point, 85 % 20 30 50 70 90 % Tricalcium silicate boxtargetboxtarget Cement: Significance of research ? These outcomes represent significant breakthroughs: ? New insights into the fundamental aspects of the kinetics of tricalcium silicate hydration that relate to cement properties ? Effects of: Structural Variation, Mixtures, and Additives References ? Peterson, V. K.; Neumann, D. A.; Livingston, R. A. J. Mat. Res. 21, 1836-1842, 2006. ? Peterson, V.K.; Neumann, D. A.; Livingston, R. A. NIST Center for Neutron Research Annual Report, 14- 15, 2005. ? Peterson, V.K.; Neumann, D.A.; Livingston R.A., J. Phys. Chem. B, 109, 14449-14453, 2005. ? Peterson, V. K.; Neumann, D. A.; Livingston, R. A., Mater. Res. Soc. Symp. Proc. 840, Q2.2, 2004 ? Peterson, V.K.; Stuzmann, P. Livingston, R.A. J. Mat. Res. In Review ? Peterson, V. K.; Neumann, D. A.; Livingston, R. A., Chem. Phys. Lett., 419, 16-20, 2006. ? Peterson, V. K.; Garci-Juenger, M. C., Physica B, . 385-386, 222-224, 2006.. ? Peterson, V. K.; Brown, C.; Livingston, R. A. Chem. Phys. 326, 381-389, 2006. ? Peterson, V. K.; Garci-Juenger, M. C., Chem. Mater. 18, 5798-5804, 2006. ? Peterson, V. K.; Livingston, R. A.; Neumann, D. A., Physica B. 385-386, 481-486, 2006. boxtargetboxtarget S(Q,?) = ( ) 2 C 0 354.2/W xx 2 1- 2 C e 354.2/W2? C ???????? ? + ( ) ( )2 P 2 0 P 2/Wx-x P ?2 W + + ( ) ( )2F20 1F 2/Wx-x F ?2 W 1 1 + + ( ) ( )2 F 2 0 2F 2/Wx-x F ?2 W 2 2 + Future directions for QENS and cement: 1. Derive kinetics from models rather than fits ? Method used in this study: Profile fitting ? BWI = (C +P)/(F1 +F2+C+P) ? Kinetic models fitted to BWI versus time plots boxtargetboxtarget 1. Derive new parameters from QENS models: Self-dynamics of water molecules Fratini et al Phys. Rev. E, 2001. head2right Self-dynamic structure factor head2right Related to S(Q,?) via a time- Fourier transform ? Contains Intermediate Scattering Functions describing the water molecule motions as per the hydrogen atoms: 1. Ftranslational(Q,t): Of the center of mass 2. Frotational(Q,t): Around the center of mass boxtargetboxtarget ? Data from Q = 0.55 to 1.24 ?-1, 5 spectra for each measurement. ? Transmission geometry at low angles, reflection at high angles ])?/t(exp[C ])?/t(exp[)t(F p :)t(F S l v H ? ? ? ? + Q, Q, Long term component: ??relaxing cage model?? ? relaxation + stretching, ? = 0-1. ? Lorentzian when ? = 1 immobile fraction 1. Derive new parameters from QENS models Fratini et al Phys. Rev. E, 2001. and Liu et al Phys. Rev. E., 2002 Self-dynamic structure factor Short term translational vibrations of central molecule Short term lth order rotational correlation function Appreciable when Q > 1 ?-1 boxtargetboxtarget 1. Derive new parameters from QENS models Fratini et al Phys. Rev. E, 2001. ? Time evolution of these parameters not modelled ? Bound water component for the same study shows more interesting trend with less error head2right Better definition of these parameters for cementitious systems may lead to application of kinetic models boxtargetboxtarget M3 R T1 Structural differences Orientation of SiO4 tetrahedra: Change hydration behaviour 2. Couple kinetics with tricalcium silicate structure boxtargetboxtargetTricalcium silicate: structural modulation Electron and Synchrotron Powder Diffraction studies have revealed: T1 ? T2 ? T3 ? M1 ? M2 ? M3 ? R head2righthead2right Commensurate + incommensurate 620 ?C 920 ?C 980 ?C 990 ?C 1060 ?C 1090 ?C head2righthead2right Unmodulated head2righthead2right Positional modulation of both Ca and Si head2right Existing crystal structures are averages: head2righthead2right Relationship between the forms is unknown Solve Structures and relate form to hydration behaviour: optimum structure? boxtargetboxtarget 3. Study kinetics of formation of tricalcium silicate: Stabilize favourable forms ? How are these forms are stabilized: in-situ temperature-dependant synchrotron X-ray Powder Diffraction studies of the clinkerization (formation) processes ? Use this information to preferentially stabilize the favourable form Aranda et al Proc. 12th ICCC, 2007. Better with neutrons! Temperature (Deg. C) boxtargetboxtarget Australia's OPAL 20MW reactor source New Neutron Scattering Facility boxtargetboxtarget Neutron Zoo at OPAL Platypus (Reflectometry) Wombat (Hi-Intensity Powder) Kowari (Residual Stress) Koala (Single Crystal) Quokka (Small Angle) Pelican (Polarized Quasielastic) Echidna (Hi-Res. Powder) Taipan (Thermal Inelastic) Sika (Cold Inelastic) boxtargetboxtarget Time (60hrs total) discharge charge discharge In-situ battery cycling on Wombat 5 minute acquisition time ? as low as 50 ?s Wombat Kinetics: Looking forward to exciting new research on the kinetics of reactions and processes boxtargetboxtarget Acknowledgements NIST Center for Neutron Research, USA ? Dan Neumann, Craig Brown, Juscelino Le?o The University of Texas at Austin, USA ? Maria Garci-Juenger US Department of Transportation, USA ? Richard Livingston I told you that cement was too wet? boxtargetboxtarget -0.025 0.025 0.075 0.125 0.175 0.225 0.275 0.325 0 10 20 30 40 50 60 70 Data Model Kinetic parameters of the hydration BWI(t) = BWI(0) + A[1-exp{-[k(t-ti)]n}] Modeling of the nucleation and growth period: B W I Hours Can be determined from QENS - more precisely determined by calorimetry ? n for monoclinic pastes vary from 2.44 - 2.65. ? M3 form has larger n (2.65) than T1 (2.27) at 30 ?C. head2right Model is relatively insensitive to changes in n ? varying n between 2.27 - 2.65 = 0.8 % change in A and 4 % in k. n = Dimensionality of growth: Product growth occurring in a 3-dimensional pore space