<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Suitable distribution of particles and the presence of hydration lead to the improved compressive performance and optimum (even reduced) cost in the production of reactive powder concrete (RPC). This study was conducted to obtain a better understanding of RPC and analyze the behavior of modified RPC (MRPC) using the properties of surface resistivity, water penetration, compressive strength, and modulus of elasticity, apart from the cost. The present study was carried out to investigate how to optimize the size and diversity of the aggregate in order to increase the applications and reduce the costs. The options were selected from among the 12 alternatives classified during the construction stages. According to the six weighting parameters used for comparing with the sample, the derived framework can be described as a mixing design for RPC. Five weighting criteria were considered with values of one of the five criteria missing, and in one case, all criteria were taken with equal weights. For the final analysis, the Expert Choice software was used to create a framework for the optimal mix design of RPC and MRPC. The MRPC mixing designs showed good results, with very slight differences compared to RPC. In many cases, MRPC can be used instead of RPC.</p>
</abstract>

Suitable distribution of particles and the presence of hydration lead to the improved compressive performance and optimum (even reduced) cost in the production of reactive powder concrete (RPC). This study was conducted to obtain a better understanding of RPC and analyze the behavior of modified RPC (MRPC) using the properties of surface resistivity, water penetration, compressive strength, and modulus of elasticity, apart from the cost. The present study was carried out to investigate how to optimize the size and diversity of the aggregate in order to increase the applications and reduce the costs. The options were selected from among the 12 alternatives classified during the construction stages. According to the six weighting parameters used for comparing with the sample, the derived framework can be described as a mixing design for RPC. Five weighting criteria were considered with values of one of the five criteria missing, and in one case, all criteria were taken with equal weights. For the final analysis, the Expert Choice software was used to create a framework for the optimal mix design of RPC and MRPC. The MRPC mixing designs showed good results, with very slight differences compared to RPC. In many cases, MRPC can be used instead of RPC.

Providing a framework for optimizing a mixing design of reactive powder concrete (RPC)

Department of Civil Engineering, Architecture and Art, Science and Research Branch

Department of Civil Engineering, South Tehran Branch

Organization, Technology and Management in Construction: an International Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Suitable distribution of particles and the presence of hydration lead to the improved compressive performance and optimum (even reduced) cost in the production...

Providing a framework for optimizing a mixing design of reactive powder concrete (RPC)

Article Category: Research Paper

Published Online: Jul 31, 2021

Page range: 2438 - 2449

Received: Mar 03, 2020

Accepted: Jul 20, 2020

DOI: https://doi.org/10.2478/otmcj-2020-0024

Keywords
water penetration, electrical resistivity, modulus of elasticity, pulse velocity, nondestructive testing, construction management, sustainable development and optimal mix design

© 2021 Farid Ghaffari Moghaddam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Providing a framework for optimizing a mixing design of reactive powder concrete (RPC)

Article Category: Research Paper

Published Online: Jul 31, 2021

Page range: 2438 - 2449

Received: Mar 03, 2020

Accepted: Jul 20, 2020

DOI: https://doi.org/10.2478/otmcj-2020-0024

Keywordswater penetration, electrical resistivity, modulus of elasticity, pulse velocity, nondestructive testing, construction management, sustainable development and optimal mix design

© 2021 Farid Ghaffari Moghaddam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
water penetration, electrical resistivity, modulus of elasticity, pulse velocity, nondestructive testing, construction management, sustainable development and optimal mix design