Підписатись
Aditya Kumar
Aditya Kumar
Associate Professor, Missouri University of Science and Technology, Rolla, MO
Підтверджена електронна адреса в mst.edu
Назва
Посилання
Посилання
Рік
The filler effect: the influence of filler content and surface area on cementitious reaction rates
T Oey, A Kumar, JW Bullard, N Neithalath, G Sant
Journal of the American Ceramic Society 96 (6), 1978-1990, 2013
4712013
The rheological properties of ternary binders containing Portland cement, limestone, and metakaolin or fly ash
K Vance, A Kumar, G Sant, N Neithalath
Cement and Concrete Research 52, 196-207, 2013
3202013
Prediction of surface chloride concentration of marine concrete using ensemble machine learning
R Cai, T Han, W Liao, J Huang, D Li, A Kumar, H Ma
Cement and Concrete Research 136, 106164, 2020
2192020
An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete
T Han, A Siddique, K Khayat, J Huang, A Kumar
Construction and Building Materials 244, 118271, 2020
1952020
Quantitative discrimination of the nano-pore-structure of cement paste during drying: New insights from water sorption isotherms
HM Jennings, A Kumar, G Sant
Cement and Concrete Research 76, 27-36, 2015
1872015
Effect of mixing on the early hydration of alite and OPC systems
P Juilland, A Kumar, E Gallucci, RJ Flatt, KL Scrivener
Cement and Concrete Research 42 (9), 1175-1188, 2012
1632012
Modelling early age hydration kinetics of alite
A Kumar, S Bishnoi, KL Scrivener
Cement and Concrete Research 42 (7), 903-918, 2012
1632012
Prediction of Compressive Strength of Concrete: Critical Comparison of Performance of a Hybrid Machine Learning Model with Standalone Models
R Cook, J Lapeyre, H Ma, A Kumar
ASCE Journal of Materials in Civil Engineering 31 (11), 04019255, 2019
1492019
The influence of sodium and potassium hydroxide on alite hydration: Experiments and simulations
A Kumar, G Sant, C Patapy, C Gianocca, KL Scrivener
Cement and Concrete Research 42 (11), 1513-1523, 2012
1392012
Simple methods to estimate the influence of limestone fillers on reaction and property evolution in cementitious materials
A Kumar, T Oey, S Kim, D Thomas, S Badran, J Li, F Fernandes, ...
Cement and Concrete Composites 42, 20-29, 2013
1362013
Machine learning to predict properties of fresh and hardened alkali-activated concrete
E Gomaa, T Han, M ElGawady, J Huang, A Kumar
Cement and Concrete Composites 115, 103863, 2021
1282021
A review: Material and structural properties of UHPC at elevated temperatures or fire conditions
Y Zhu, H Hussein, A Kumar, G Chen
Cement and Concrete Composites, 2021
1272021
The filler effect: The influence of filler content and type on the hydration rate of tricalcium silicate
A Kumar, T Oey, G Falzone, J Huang, M Bauchy, M Balonis, N Neithalath, ...
Journal of the American Ceramic Society, https://doi.org/10.1111/jace.14859, 2017
1122017
A dissolution-precipitation mechanism is at the origin of concrete creep in moist environments
I Pignatelli, A Kumar, R Alizadeh, Y Le Pape, M Bauchy, G Sant
The Journal of Chemical Physics 145 (http://dx.doi.org/10.1063/1.4955429 …, 2016
1052016
Improvement of flexural and tensile strength of layered-casting UHPC with aligned steel fibers
Y Zhang, Y Zhu, S Qu, A Kumar, X Shao
Construction and Building Materials 251, 118893, 2020
1022020
Topological Control on Silicates Dissolution Kinetics
I Pignatelli, A Kumar, M Bauchy, G Sant
Langmuir 32 (18), 4434–4439, 2016
1002016
Effective thermal conductivity of three-component composites containing spherical capsules
AM Thiele, A Kumar, G Sant, L Pilon
International Journal of Heat and Mass Transfer 73, 177-185, 2014
972014
The influence of sodium and potassium hydroxide on volume changes in cementitious materials
G Sant, A Kumar, C Patapy, G Le Saout, K Scrivener
Cement and concrete research 42 (11), 1447-1455, 2012
862012
Rheology, hydration, and strength evolution of interground limestone cement containing PCE dispersant and high volume supplementary cementitious materials
I Mehdipour, A Kumar, KH Khayat
Materials & Design 127, 54-66, 2017
822017
Machine learning as a tool to design glasses with controlled dissolution for healthcare applications
T Han, N Stone-Weiss, J Huang, A Goel, A Kumar
Acta Biomaterialia, 2020
752020
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Статті 1–20