Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate

Nam-Il Kim; Un-song Pak; Kyong-Chol Kim

doi:doi:10.11648/j.ajam.20231102.11

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Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate

Nam-Il Kim, Un-song Pak, Kyong-Chol Kim

Published in American Journal of Applied Mathematics (Volume 11, Issue 2)

Received: 7 April 2023 Accepted: 15 May 2023 Published: 5 June 2023

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Abstract

Efficient use of recycled concrete aggregates (RCA) produced using construction and demolition (C&D) waste can help solve many of the problems, such as reducing the consumption of huge amounts of natural aggregate and the generation of construction waste. Thermal-mechanical treatment is becoming a convenient method for recycling old concrete, but research to determine its implementation parameters is almost always conducted through experimental methods. In this paper, the MOO model, which takes heating temperature and mechanical treatment time as input variables and apparent density and water absorption rate as output variables, is derived to determine the experimental conditions for obtaining high-quality RCA and suggests a multi-objective optimization model for the thermal-mechanical treatment of recycled concrete aggregates. When using this mathematical model, under the same basic conditions (heating method, parameters of the treatment machine, etc.), the optimal thermal-mechanical treatment working parameters (heating temperature and mechanical treatment time) can be predicted in advance only by changing the boundary condition values without a large number of experiments. Although the experiment to prove the results of optimization modeling established in this paper has not been carried out, a mathematical method has been proposed to predict the experimental conditions which will help reduce the cost of high-quality RCA production or provide a scientific guarantee for the experiment.

Published in	American Journal of Applied Mathematics (Volume 11, Issue 2)
DOI	10.11648/j.ajam.20231102.11
Page(s)	17-22
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Recycled Concrete Aggregate, Thermal-Mechanical Treatment, Apparent Density, Water Absorption Rate, Back Propagation Neural Network, Multi-Objective Optimization

References

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APA Style

Nam-Il Kim, Un-song Pak, Kyong-Chol Kim. (2023). Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate. American Journal of Applied Mathematics, 11(2), 17-22. https://doi.org/10.11648/j.ajam.20231102.11

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ACS Style

Nam-Il Kim; Un-song Pak; Kyong-Chol Kim. Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate. Am. J. Appl. Math. 2023, 11(2), 17-22. doi: 10.11648/j.ajam.20231102.11

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AMA Style

Nam-Il Kim, Un-song Pak, Kyong-Chol Kim. Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate. Am J Appl Math. 2023;11(2):17-22. doi: 10.11648/j.ajam.20231102.11

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@article{10.11648/j.ajam.20231102.11,
  author = {Nam-Il Kim and Un-song Pak and Kyong-Chol Kim},
  title = {Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate},
  journal = {American Journal of Applied Mathematics},
  volume = {11},
  number = {2},
  pages = {17-22},
  doi = {10.11648/j.ajam.20231102.11},
  url = {https://doi.org/10.11648/j.ajam.20231102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20231102.11},
  abstract = {Efficient use of recycled concrete aggregates (RCA) produced using construction and demolition (C&D) waste can help solve many of the problems, such as reducing the consumption of huge amounts of natural aggregate and the generation of construction waste. Thermal-mechanical treatment is becoming a convenient method for recycling old concrete, but research to determine its implementation parameters is almost always conducted through experimental methods. In this paper, the MOO model, which takes heating temperature and mechanical treatment time as input variables and apparent density and water absorption rate as output variables, is derived to determine the experimental conditions for obtaining high-quality RCA and suggests a multi-objective optimization model for the thermal-mechanical treatment of recycled concrete aggregates. When using this mathematical model, under the same basic conditions (heating method, parameters of the treatment machine, etc.), the optimal thermal-mechanical treatment working parameters (heating temperature and mechanical treatment time) can be predicted in advance only by changing the boundary condition values without a large number of experiments. Although the experiment to prove the results of optimization modeling established in this paper has not been carried out, a mathematical method has been proposed to predict the experimental conditions which will help reduce the cost of high-quality RCA production or provide a scientific guarantee for the experiment.},
 year = {2023}
}

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TY  - JOUR
T1  - Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate
AU  - Nam-Il Kim
AU  - Un-song Pak
AU  - Kyong-Chol Kim
Y1  - 2023/06/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ajam.20231102.11
DO  - 10.11648/j.ajam.20231102.11
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 17
EP  - 22
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20231102.11
AB  - Efficient use of recycled concrete aggregates (RCA) produced using construction and demolition (C&D) waste can help solve many of the problems, such as reducing the consumption of huge amounts of natural aggregate and the generation of construction waste. Thermal-mechanical treatment is becoming a convenient method for recycling old concrete, but research to determine its implementation parameters is almost always conducted through experimental methods. In this paper, the MOO model, which takes heating temperature and mechanical treatment time as input variables and apparent density and water absorption rate as output variables, is derived to determine the experimental conditions for obtaining high-quality RCA and suggests a multi-objective optimization model for the thermal-mechanical treatment of recycled concrete aggregates. When using this mathematical model, under the same basic conditions (heating method, parameters of the treatment machine, etc.), the optimal thermal-mechanical treatment working parameters (heating temperature and mechanical treatment time) can be predicted in advance only by changing the boundary condition values without a large number of experiments. Although the experiment to prove the results of optimization modeling established in this paper has not been carried out, a mathematical method has been proposed to predict the experimental conditions which will help reduce the cost of high-quality RCA production or provide a scientific guarantee for the experiment.
VL  - 11
IS  - 2
ER  -

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Author Information

Nam-Il Kim

Institute of Building Materials, State Academy of Sciences, Pyongyang, Democratic People’s Republic of Korea
Un-song Pak

School of Mechanical Engineering, Pyongyang Transportation University, Pyongyang, Democratic People’s Republic of Korea
Kyong-Chol Kim

Faculty of Applied Chemical Engineering, Kim Chaek University of Technology, Pyongyang, Democratic People’s Republic of Korea

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APA Style

Nam-Il Kim, Un-song Pak, Kyong-Chol Kim. (2023). Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate. American Journal of Applied Mathematics, 11(2), 17-22. https://doi.org/10.11648/j.ajam.20231102.11

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ACS Style

Nam-Il Kim; Un-song Pak; Kyong-Chol Kim. Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate. Am. J. Appl. Math. 2023, 11(2), 17-22. doi: 10.11648/j.ajam.20231102.11

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AMA Style

Nam-Il Kim, Un-song Pak, Kyong-Chol Kim. Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate. Am J Appl Math. 2023;11(2):17-22. doi: 10.11648/j.ajam.20231102.11

Copy | Download

@article{10.11648/j.ajam.20231102.11,
  author = {Nam-Il Kim and Un-song Pak and Kyong-Chol Kim},
  title = {Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate},
  journal = {American Journal of Applied Mathematics},
  volume = {11},
  number = {2},
  pages = {17-22},
  doi = {10.11648/j.ajam.20231102.11},
  url = {https://doi.org/10.11648/j.ajam.20231102.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20231102.11},
  abstract = {Efficient use of recycled concrete aggregates (RCA) produced using construction and demolition (C&D) waste can help solve many of the problems, such as reducing the consumption of huge amounts of natural aggregate and the generation of construction waste. Thermal-mechanical treatment is becoming a convenient method for recycling old concrete, but research to determine its implementation parameters is almost always conducted through experimental methods. In this paper, the MOO model, which takes heating temperature and mechanical treatment time as input variables and apparent density and water absorption rate as output variables, is derived to determine the experimental conditions for obtaining high-quality RCA and suggests a multi-objective optimization model for the thermal-mechanical treatment of recycled concrete aggregates. When using this mathematical model, under the same basic conditions (heating method, parameters of the treatment machine, etc.), the optimal thermal-mechanical treatment working parameters (heating temperature and mechanical treatment time) can be predicted in advance only by changing the boundary condition values without a large number of experiments. Although the experiment to prove the results of optimization modeling established in this paper has not been carried out, a mathematical method has been proposed to predict the experimental conditions which will help reduce the cost of high-quality RCA production or provide a scientific guarantee for the experiment.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Multi-Objective Optimization Model for Thermal-Mechanical Treatment of Recycled Concrete Aggregate
AU  - Nam-Il Kim
AU  - Un-song Pak
AU  - Kyong-Chol Kim
Y1  - 2023/06/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ajam.20231102.11
DO  - 10.11648/j.ajam.20231102.11
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 17
EP  - 22
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20231102.11
AB  - Efficient use of recycled concrete aggregates (RCA) produced using construction and demolition (C&D) waste can help solve many of the problems, such as reducing the consumption of huge amounts of natural aggregate and the generation of construction waste. Thermal-mechanical treatment is becoming a convenient method for recycling old concrete, but research to determine its implementation parameters is almost always conducted through experimental methods. In this paper, the MOO model, which takes heating temperature and mechanical treatment time as input variables and apparent density and water absorption rate as output variables, is derived to determine the experimental conditions for obtaining high-quality RCA and suggests a multi-objective optimization model for the thermal-mechanical treatment of recycled concrete aggregates. When using this mathematical model, under the same basic conditions (heating method, parameters of the treatment machine, etc.), the optimal thermal-mechanical treatment working parameters (heating temperature and mechanical treatment time) can be predicted in advance only by changing the boundary condition values without a large number of experiments. Although the experiment to prove the results of optimization modeling established in this paper has not been carried out, a mathematical method has been proposed to predict the experimental conditions which will help reduce the cost of high-quality RCA production or provide a scientific guarantee for the experiment.
VL  - 11
IS  - 2
ER  -

Copy | Download