Proficiency analysis of VCCTL results for heat of hydration and mortar cube strength

Watts, Benjamin E.; Tao, Chengcheng; Ferraro, Christopher C.; Masters, Forrest J.

doi:10.1016/j.conbuildmat.2017.09.035

Cited by 18 publications

(11 citation statements)

References 12 publications

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“…Optimization algorithms including the deterministic simplex method and the stochastic genetic method were applied to determine the parameters in the Herschel-Bulkley model for fresh cement suspensions [9]. Multi-objective optimization methods, such as support vector regression (SVR), model tress (MT), M5 model rules, mix and design approach, particle swarm optimizations (PSO) and response surface method (RSM) are also used in cement chemistry and hydration processes to obtain optimal chemical combination and proportion for better cement performance, workability, and energy consumptions [201,[301][302][303][304].…”

Section: Discussionmentioning

confidence: 99%

A Review of Rheological Modeling of Cement Slurry in Oil Well Applications

et al. 2020

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The rheological behavior of cement slurries is important in trying to prevent and eliminate gas-migration related problems in oil well applications. In this paper, we review the constitutive modeling of cement slurries/pastes. Cement slurries, in general, behave as complex non-linear fluids with the possibility of exhibiting viscoelasticity, thixotropy, yield stress, shear-thinning effects, etc. The shear viscosity and the yield stress are two of the most important rheological characteristics of cement; these have been studied extensively and a review of these studies is provided in this paper. We discuss the importance of changing the concentration of cement particles, water-to-cement ratio, additives/admixtures, shear rate, temperature and pressure, mixing methods, and the thixotropic behavior of cement on the stress tensor. In the concluding remarks, we propose a new constitutive model for cement slurry, considering the basic non-Newtonian nature of the different models.

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Section: Discussionmentioning

confidence: 99%

A Review of Rheological Modeling of Cement Slurry in Oil Well Applications

et al. 2020

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“…Among them, the VCCTL model is an extension of the EMHYD3D modeling package. Previous research [ 41 , 42 ] has proven that the VCCTL model could be successfully used to reproduce the hydration process of cement paste. Therefore, the VCCTL model was used in this study to simulate the hydration of cement and obtain the volume fraction of constituent phases in the paste.…”

Section: Model Parametersmentioning

confidence: 99%

Multiphase Model for Predicting the Thermal Conductivity of Cement Paste and Its Applications

2021

Materials

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Thermal conductivity plays a significant role in controlling thermal cracking of cement-based materials. In this study, the thermal conductivity of cement paste at an early age was measured by the hot plate method. The test results showed that the thermal conductivity of cement paste decreased with the increase of water/cement ratio and curing age. Meanwhile, a multiphase model for the thermal conductivity of cement paste was proposed and used to study the influence of saturation and curing temperature on the thermal conductivity of cement paste. To determine the parameters involved in this model, the thermal conductivity of each phase in cement paste was calculated by the molecular dynamic simulation method, and the hydration of cement was simulated by the Virtual Cement and Concrete Testing Laboratory. The inversion results showed that the relative error between experimental and simulation results lay between 1.1% and 6.5%. The thermal conductivity of paste in the saturated condition was 14.9–32.3% higher than that in the dry state. With the curing temperature increasing from 10 °C to 60 °C, the thermal conductivity of cement paste decreased by 3.9–4.9% depending on the water/cement ratio.

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“…For all simulated cements, the spatial correlation functions for the four major phases were identical, and sourced from a type I–II cement in the VCCTL library. This approach has seen recent application in practice (Watts et al., ). A single particle‐size distribution was used for all of the simulations described in this study.…”

Section: The Vcctl Portland Cement Modelmentioning

confidence: 99%

“…The concrete research community has long sought to eliminate these requirements through simulation of cement hydration and hardened properties (Bullard et al., ). Advances in computational modeling (Bentz, ; Haecker et al., ; Thomas et al., ) have led to the creation of the Virtual Cement and Concrete Testing Laboratory (VCCTL), a model that can produce results with the same degree of reliability and accuracy as physical laboratories using the ASTM C109 and C1702 test methods (Watts et al., ). These recent developments suggest that virtual testing has imminent practical utility for replacing physical test methods and permitting analysis that would be impossible within the limitations of traditional physical testing.…”

Section: Introductionmentioning

confidence: 99%

A Multivariate Computational Framework to Characterize and Rate Virtual Portland Cements

Tao

Watts

Ferraro

et al. 2018

Computer aided Civil Eng

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This article presents a novel application of metaheuristic optimization and rating techniques to virtual test results for cement and mortar, and presents objective computational methods for the evaluation and selection of cementitious materials based on simulated material testing. A scalable approach based on particle swarm optimization of the National Institute of Standards and Technology Virtual Cement and Concrete Testing Laboratory (VCCTL) is successfully demonstrated using ∼150,000 combinations of cement phase distributions and water‐to‐cement ratios, with as few as 10% of the VCCTL runs required to obtain the optimal solutions. The application of Pareto front analysis reveals an inherent trade‐off between the modulus of elasticity, time of set, and kiln temperature (using alite:belite as a proxy) at the performance limits. This study also provides a means to objectively characterize cements in these contexts using a maximum likelihood estimator to calculate a score from the cumulative distribution function, using a random subset of the 150,000 simulated cement pastes. The proposed approach provides a new pathway to optimally proportion raw materials (and eventually waste by‐products) to reduce production costs, extend the life of a quarry, or reduce the carbon footprint of cement plants.

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Proficiency analysis of VCCTL results for heat of hydration and mortar cube strength

Cited by 18 publications

References 12 publications

A Review of Rheological Modeling of Cement Slurry in Oil Well Applications

A Review of Rheological Modeling of Cement Slurry in Oil Well Applications

Multiphase Model for Predicting the Thermal Conductivity of Cement Paste and Its Applications

A Multivariate Computational Framework to Characterize and Rate Virtual Portland Cements

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