1997
DOI: 10.1111/j.1151-2916.1997.tb02785.x
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Three‐Dimensional Computer Simulation of Portland Cement Hydration and Microstructure Development

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Cited by 492 publications
(318 citation statements)
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“…The full details of the operating principles for the digital image approach can be found in other publications [Bentz 1997, Bentz 2005. A discussion of computational tools that have been developed to analyze the properties of digital image microstructures can be found in [Garboczi and Bentz 1999].…”
Section: MIXmentioning
confidence: 99%
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“…The full details of the operating principles for the digital image approach can be found in other publications [Bentz 1997, Bentz 2005. A discussion of computational tools that have been developed to analyze the properties of digital image microstructures can be found in [Garboczi and Bentz 1999].…”
Section: MIXmentioning
confidence: 99%
“…The NIST cement hydration model [Bentz 1997, Bentz 2005 operates directly on 3D digital images of cement paste microstructures created as described earlier. Execution of the model requires a starting microstructure, information about the curing conditions (thermal conditions and moisture state), and the frequency at which to output various data for later analysis.…”
Section: Hydrate MIXmentioning
confidence: 99%
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“…The diffusion-binding model is applied to an ordinary Portland cement [40] and the microstructures are obtained through CEMHYD3D [18,19]. The behavior of both plain hardened cement paste (HCP) (Fig.…”
Section: Microscale Analyses 22mentioning
confidence: 99%
“…Concerning the microscale, the 3D imaging techniques available to date, although evolving very fast, do not yet reach the level of detail needed (in terms of both resolution and quality of the image) for the detection of all the possible phases [17]. Hence, numerical models able to simulate the hydrated cement microstructure, such as CEMHYD3D [18,19] or HYMOSTRUCT3D [20], are generally adopted [5,10]. At the mesoscale, artificial geometry generation is in many cases too simplified or very complex to implement [21][22][23][24], while CT is adequate in terms of resolution.…”
Section: Introductionmentioning
confidence: 99%