A novel numerical multi-component model for simulating hydration of cement

Le, Nghi L.B.; Stroeven, Martijn; Sluys, L.J.; Stroeven, Piet

doi:10.1016/j.commatsci.2013.05.021

Cited by 23 publications

(7 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A 3D view of the resulting nature of the simulated pore structure is given in Figure 3, in which all the solid phases have been removed. XIPKM has been extended to cover all major cement compounds (Le et al, 2013). However, since this aspect does not interfere with the realisation of the target of this paper, this complication is eliminated for the present purpose.…”

Section: Porosimetry Methodsmentioning

confidence: 99%

“…This is accomplished through packing of the binder particles using the discrete-element method (DEM) instead of random sequential addition (RSA) algorithms, which are (almost exclusively) popular in concrete technology (Stroeven, 1999;Stroeven et al, 2009;Williams and Philipse, 2003). This step is followed by application of the vector-based extended integrated particle kinetics model (XIPKM) (Le et al, 2013). In doing so, a virtual microstructure is made available for porosimetry analysis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A modern approach to porosimetry of virtual cementitious materials

Stroeven

2017

Magazine of Concrete Research

Self Cite

View full text Add to dashboard Cite

To assess the pore size of virtual cementitious materials, the star volume method (SVM) can be considered an effective tool. Unfortunately, the SVM requires a large number of plane sections in each of the very large number of random points, resulting in a time-consuming and expensive operation. As a more economical alternative, this paper presents a stereology-based contracted method, which uses a well-known theoretical concept proposed by Cauchy. This method completed pore size measurements in a shorter period of time (reductions as high as 85%) while demonstrating reliability to be maintained at the same level. Notation A i random section area A′ throat area of a pore d 0•5 median two-dimensional pore throat size d 0•5rand median two-dimensional (2D) pore size based on random sections T min SD 2D minimum (throat) size distribution T ran SD random section size distribution θ orientation of random section 1212 Magazine of Concrete Research Volume 69 Issue 23 A modern approach to porosimetry of virtual cementitious materials Stroeven and Li

show abstract

Section: Porosimetry Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A modern approach to porosimetry of virtual cementitious materials

Stroeven

2017

Magazine of Concrete Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…The details of the various blocks of the methodology for porosimetry are explicitly described in the international literature. Successively, these blocks concern 1) HADES: dynamic DEM for packing simulation of artificially-shaped particles on meso-, micro-and nano-level [19]; 2) XIPKM: extended integrated particle kinetics method for simulation of fresh multi-component blended cement system [22]; the IPKM reference method is described in [12,24]; 3) DRaMuTS: double random multiple tree structuring system for delineating the complete pore network system and for topology assessment [14]; 4) SVM: star volume measurements in uniformly random point system inside the pore network [14,23]; 5) Tube model: the tree data obtained by DRaMuTS are employed to construct a network of cylindrical tubes connected at nodes that represents the percolated pore system; by applying a pressure gradient across the ends of the network, permeability is determined [13,25].…”

Section: Methodology In Virtual Realitymentioning

confidence: 99%

“…Two rigid container surfaces may represent the aggregate surfaces that induce gradient structures, which are denoted as Interfacial Transition Zones (ITZs) [20][21]. Next, hydration simulation is accomplished by an extended version of the vector approach [22]. Robotics-based pore delineation provides topological information, while geometric characterization of the pore network is accomplished by star volume measurements [14,23].…”

Section: ____________________________________________________________mentioning

confidence: 99%

Packing Issue in Cement Blending for Sustainability Developments - Approach by Discrete Element Method

Liu¹,

Stroeven²

2014

IJRET

View full text Add to dashboard Cite

Common cement blending materials for concrete like fly ashes, blast furnace slag, silica fume, metakaolin and rice husk ash have been investigated experimentally as to their impact on concrete's mechanical, physical and sustainability capabilities. Such efforts offer but case-related information on involved materials and used procedures. Generalizations will be difficult because also contradicting information is provided: a weak basis to guide further developments. Published research data on blends with inert components (carbon black) confirm fineness to be the leading parameter governing their mechanics. Experimental efforts revealing blending effects on durability issues are more scarce because of their complicated, laborious and time-consuming nature. Hence, generalization capabilities are even more restricted. An approach is therefore presented for studying cementitious materials in the virtual reality, employing the concurrent algorithm-based dynamic discrete element method (DEM), HADES. Hydration simulation of the simulated (blended) Portland cement grain mixture is thereupon accomplished with an extended version of the vector approach. Robotics-based pore delineation provides topological information, while geometric characterization of the pore networks is accomplished by star volume measurements. Topological and geometric parameters can be combined in a hydraulic model for durability estimation. This approach allows covering a wide range of parameters. This would render possible more systematic and economic development of such materials for sustainability purposes, among other things. The production stages (DEM and hydration simulation) and the analysis stages (pore delineation and topology and geometry assessment) are briefly outlined. Application of the methodology is illustrated on finer and coarser grained cements blended with rice husk ash produced with different fineness. The effects of the gap in grading on the pore network characteristics relevant for transport-based durability items are outlined.

show abstract

“…Several other aggregate packing models were established and used for the mesoscopic analysis, where basis of the established models were based on the assumption that the aggregate shapes are spherical. Those models established on the presumption that shape of the aggregate are sphere are the particle suspension model (Mori and Tanigawa, 1992), the µic model, the HADES model (Stroven et al, 2006), the discrete element model (DEM) (Stroven et al, 2009), the molecular dynamic model (MDM) (Thomas and J"rg, 2015) and the integrated spherical particle kinetics model and advanced integrated kinetics model (XIPKM) basically used for modelling of hydration process and microstructural evolution (Le et al, 2013). Different shapes of the aggregates have different effects on the physical properties.…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Protein Folding Thermodynamics, Mutational Effects and Free-Energy Landscapes

Naganathan¹

2016

Proceedings of the Indian National Science Academy

View full text Add to dashboard Cite

Concrete is a highly complex and heterogeneous material which limits the characterization prediction reliability of the concrete by experimental investigations. To obtain a deeper knowledge about the behavior of the concrete, better understanding of mesoscale constituents of the concrete need to be analyzed. Interaction of different constituents and their parameters manipulating the microstructure is not strictly considered for computing macroscopic performance of the concrete. For realistic simulation of macroscopic performance of concrete, those disregarded parameters need to be examined and included for computational analysis, since mechanical behavior and characterization of concrete are highly influenced by mesoscopic structural arrangement of the concrete ingredients. Characterization of different components of the concrete is made by finite element meshing the individual component with desired approach to vitalize effective computational analysis. This paper reviews different mesoscale modelling approaches and recommends the need and inclusion of rheological parameters in mesoscale models.

show abstract

A novel numerical multi-component model for simulating hydration of cement

Cited by 23 publications

References 23 publications

A modern approach to porosimetry of virtual cementitious materials

A modern approach to porosimetry of virtual cementitious materials

Packing Issue in Cement Blending for Sustainability Developments - Approach by Discrete Element Method

Predictive Modeling of Protein Folding Thermodynamics, Mutational Effects and Free-Energy Landscapes

Contact Info

Product

Resources

About