Permeability of cementitious materials using a multiscale pore network model. (20th December 2021)
- Record Type:
- Journal Article
- Title:
- Permeability of cementitious materials using a multiscale pore network model. (20th December 2021)
- Main Title:
- Permeability of cementitious materials using a multiscale pore network model
- Authors:
- Babaei, Saeid
Seetharam, Suresh C.
Dizier, Arnaud
Steenackers, Gunther
Craeye, Bart - Abstract:
- Highlights: A multiscale modelling framework for permeability of cementitious materials is proposed. The framework relies on: particle packing, cement hydration and a pore network model. The proposed model takes the contribution of all the pore classes into account. A new method for simulation of unsaturated permeability is introduced. The proposed model is extensively validated and results are discussed in details. Abstract: This paper presents a new multiscale pore network modelling framework for predicting saturated and unsaturated permeability of OPC-based cementitious materials using a novel algorithmic implementation. The framework fundamentally relies on the data on cement composition and current understanding of cement hydration kinetics and microstructural features. Central to the modelling framework is the ability to numerically estimate pore size distribution (PSD) from existing models and the ability to obtain snapshots of unsaturated microstructure for various degrees of saturation. The framework is an amalgamation of three important existing models: (i) particle packing model for predicting nanoscale PSD, (ii) cement hydration kinetics to estimate microscale PSD, and (iii) a pore network model to estimate the permeability. The proposed pore network modelling is validated against an extensive set of experimental data that includes a very wide range of materials. The predicted intrinsic permeability falls well within the accepted experimental range. Though fewerHighlights: A multiscale modelling framework for permeability of cementitious materials is proposed. The framework relies on: particle packing, cement hydration and a pore network model. The proposed model takes the contribution of all the pore classes into account. A new method for simulation of unsaturated permeability is introduced. The proposed model is extensively validated and results are discussed in details. Abstract: This paper presents a new multiscale pore network modelling framework for predicting saturated and unsaturated permeability of OPC-based cementitious materials using a novel algorithmic implementation. The framework fundamentally relies on the data on cement composition and current understanding of cement hydration kinetics and microstructural features. Central to the modelling framework is the ability to numerically estimate pore size distribution (PSD) from existing models and the ability to obtain snapshots of unsaturated microstructure for various degrees of saturation. The framework is an amalgamation of three important existing models: (i) particle packing model for predicting nanoscale PSD, (ii) cement hydration kinetics to estimate microscale PSD, and (iii) a pore network model to estimate the permeability. The proposed pore network modelling is validated against an extensive set of experimental data that includes a very wide range of materials. The predicted intrinsic permeability falls well within the accepted experimental range. Though fewer experimental data are available to compare, the predicted unsaturated permeability shows highly promising results. … (more)
- Is Part Of:
- Construction & building materials. Volume 312(2021)
- Journal:
- Construction & building materials
- Issue:
- Volume 312(2021)
- Issue Display:
- Volume 312, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 312
- Issue:
- 2021
- Issue Sort Value:
- 2021-0312-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12-20
- Subjects:
- Cementitious materials -- Permeability -- Multiscale modelling -- Pore network modelling -- Cement paste
Building materials -- Periodicals
624.18 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09500618 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.conbuildmat.2021.125298 ↗
- Languages:
- English
- ISSNs:
- 0950-0618
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3420.950900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19876.xml