Modelling systems driven by the presence of cement · • The cement system, its evolution and...

19
Modelling systems driven by the presence of cement L. Duro, M. Grivé, J. Molinero, F. Grandia

Transcript of Modelling systems driven by the presence of cement · • The cement system, its evolution and...

Page 1: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Modelling systems driven by the presence of cement

L. Duro, M. Grivé, J. Molinero, F. Grandia

Page 2: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Ubiquity of

Cement materials

Page 3: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Need to understand and quantify effect of cementitious materials

• The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces: changes induced in other materials properties – Cement alteration:

• porosity, permeability changes • Release of other components: additives, organics • …

• RN chemistry in the presence of cement – Speciation – Solubility – Sorption

Page 4: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Concrete pH = 12.0

Groundwater pH = 7.0

Van Gerben et al., 2004. Cem & Conc. Res. 34

Leaching process

>The concept…

Page 5: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Dissolution of Ca(OH)2 Decalcification of C-S-H

Porosity increase

Groundwater intrusion

Leaching rate increase

Leaching of Ca and Si

Precipitation minerals

Porosity decrease

Leaching rate decrease

>The concept…

Page 6: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

- CSH dissolution approaches-

Page 7: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

> Simulation of the long-term degradation of grout

0.00

20.00

40.00

60.00

80.00

100.00

0.000 0.005 0.010 0.015 0.020 0.025

Depth (m)

Poro

sity

(-)

1 year 50 years 100 years 500 years 1000 years

0.00

20.00

40.00

60.00

80.00

100.00

0.000 0.005 0.010 0.015 0.020 0.025

Depth (m)

Poro

sity

(-)

1 year 50 years 100 years 500 years 1000 years

Regular grout Low pH grout

Page 8: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

> Simulation of the long-term degradation of grout

7.00

8.00

9.00

10.00

11.00

12.00

13.00

14.00

0.000 0.005 0.010 0.015 0.020 0.025

Depth (m)

pH

1 year 1000 years 10000 years 50000 years 100000 years

7.00

8.00

9.00

10.00

11.00

12.00

13.00

14.00

0.000 0.005 0.010 0.015 0.020 0.025

Depth (m)

pH

1 year 1000 years 10000 years 50000 years 100000 years

Regular grout Low pH grout

1 year 50 years 100 years 500 years 1000 years

Page 9: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

– Incongruent dissolution modeling: Pure phases vs. solid solutions

– Kinetics → Rates of precipitation/dissolution of intermediate phases

– Molar volume of intermediate phases (mainly CSH gels)

– Diffusion coefficients in cement porewater

– Validity of Fick’s law vs. Nerst-Plank (electrochemical) diffusion

– HMC couplings (specially micro-cracking effects)

Fundamental uncertainties

Page 10: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Eh/pH range. How does the presence of cement conditions Eh?

Scarcity of Eh measurements in

cementitious systems

Critical for RN

Page 11: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Solubility assessment: change in the controlling solid

CaU

2O7·3

H 2O

CaU2O7·3H2O

Initial stage of concrete degradation

Final stage of concrete degradation

Page 12: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

• Under conditioned cement systems: special relevance for anion forming RN: Nb, Mo, Sn, Se, …

Solubility assessment

CaNb4O11 solubility

Talerico et al., 2004

Thermodynamic data for Ca-RN phases

Page 13: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Cement admixtures: speciation: solubility: sorption

• Sulphonated naphthalene-formaldehyde condensates (NS)

• Modified lignosulphonates (LS)

• Sulphonated melamine-formaldehyde condensates (MS)

• Polycarboxylate derivatives (PC)

Page 14: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

• Degradation of organic filter aid, PAN based: a maximum of a 20% of the degradation products identified

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0 50 100 150 200

time (days)

[TO

C] (

M)

Exp 4Model 4Exp 3Model 3

t = 60C

no Ca

Ca

Empirical models: mechanistic quantification lacking

degradation of nitrile groups to carboxylates with ammonia release

(Duro et al., 2012)

Page 15: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Example: Effect of degradation products of PAN on Eu sorption

0.0E+00

1.0E-09

2.0E-09

3.0E-09

4.0E-09

5.0E-09

6.0E-09

7.0E-09

8.0E-09

0 2 4 6 8

TOC (mM)

[Eu]

aq (m

ole/

dm3

[Eu]aq, no Ca[Eu]aq, Ca

Quantification of retention changes: input data for SA is affected

Page 16: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Organics in the wastes: speciation

[ISA] (1.6e-2M)

Page 17: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Effect on solubility

Effect of pH

Effect of ISA

Page 18: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

– Modelling of concrete degradation: coupling chemistry and physical properties (structural, hydrodynamics, ..)

– Effect of concrete degradation on near-field materials: swelling, porosity changes, retention properties

– Effect of high alkalinity on redox states: data and modellng – High Ca concentrations: change in retention through sorption/solubility

changes: mechanistic models to account for Ca effect – Concrete is a source of complex complexing organics: how do they degrade?

To which compounds? Which is the effect of these compounds on RN chemistry? On near-field materials? Bentonite, steels?

– How does the system (host-rock and repository) react? How long(in time and space) does it take to buffer the hyperalkaline plume, if at all?

– How low is low-pH cement? – Can we take advantage of natural/human-made analogues?

Modelling issues to consider for the new cement initiative

Page 19: Modelling systems driven by the presence of cement · • The cement system, its evolution and modelling approaches – Changes in chemistry of waters: pH/Eh/Ca content – Interfaces:

Two concrete piers at the port of Progresso, Mexico. In the background one built with stainless steel reinforcement in 1941. In the foreground the remains of one built with carbon steel reinforcement in the 1960s.

Taken from Crossland (2006)