TY - JOUR
T1 - Stochastic Mesoscopic Modeling of Concrete Systems Containing Recycled Concrete Aggregates Using Monte Carlo Methods
AU - Jayasuriya, Anuruddha
AU - Bandelt, Matthew J.
AU - Adams, Matthew
N1 - Funding Information: The authors would like to thank the ACI Foundation for the continuous support on the CRC 18.517 research project. Contributions from the Materials and Structures Laboratory at New Jersey Institute of Technology are also greatly acknowledged for providing efficient computational facilities to simulate the large data sets included in this paper. Publisher Copyright: Copyright © 2022, American Concrete Institute
PY - 2022/3
Y1 - 2022/3
N2 - This paper investigates the applicability of numerically generated recycled concrete aggregate (RCA) systems by varying the material properties. The methodology was adopted by using a computational algorithm that can generate concrete systems with different RCA replacement levels to numerically simulate recycled aggregate concrete (RAC) systems under mechanical loading. Numerically simulated results are compared with an experimental database that has been established, including a substantial data set on RAC mixture design proportions. RAC geometries and material properties were stochastically generated using Monte Carlo simulation methods, resulting in 200 representative numerical models that were subjected to simulated mechanical loading. The overall variability of the concrete properties was not well-predicted in the numerical models compared to the experimental database results due to modeling limitations and material heterogeneity exhibited in experiments. The variability of tensile strength was governed by the complex strain localization patterns in the interfacial transition zone (ITZ) phases in RAC systems that were simulated.
AB - This paper investigates the applicability of numerically generated recycled concrete aggregate (RCA) systems by varying the material properties. The methodology was adopted by using a computational algorithm that can generate concrete systems with different RCA replacement levels to numerically simulate recycled aggregate concrete (RAC) systems under mechanical loading. Numerically simulated results are compared with an experimental database that has been established, including a substantial data set on RAC mixture design proportions. RAC geometries and material properties were stochastically generated using Monte Carlo simulation methods, resulting in 200 representative numerical models that were subjected to simulated mechanical loading. The overall variability of the concrete properties was not well-predicted in the numerical models compared to the experimental database results due to modeling limitations and material heterogeneity exhibited in experiments. The variability of tensile strength was governed by the complex strain localization patterns in the interfacial transition zone (ITZ) phases in RAC systems that were simulated.
KW - Monte Carlo simulation
KW - finite element modeling
KW - numerical simulation
KW - random aggregate structure
KW - recycled concrete aggregate (RCA)
KW - statistical database analysis
UR - http://www.scopus.com/inward/record.url?scp=85134794901&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85134794901&partnerID=8YFLogxK
U2 - https://doi.org/10.14359/51734483
DO - https://doi.org/10.14359/51734483
M3 - Article
SN - 0889-325X
VL - 119
SP - 3
EP - 18
JO - ACI Materials Journal
JF - ACI Materials Journal
IS - 2
ER -