Reactive powder concrete beam design using a mathematical software to reduce costs

Abstract Reactive powder concrete is widely recognized for its remarkable mechanical characteristics and resilience, rendering it an ideal option for structural uses that include heavy loads. However, the intricate interaction of numerous material and geometric aspects makes constructing reactive powder concrete beams extremely difficult. By using MATLAB to provide an optimized design framework for beams, this research tackles these issues. Particle swarm optimization and evolutionary algorithms are two of the advanced techniques used in the study to solve the optimization problem. It also includes constraints other one as structural requirements and material limitations. Results demonstrate that MATLAB-based optimization facilitates effective design, lowering costs and material consumption, with potential for more applications in the building sector.

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Publication Details

Journal
Pollack Periodica
Published
2024-11-15
DOI
https://doi.org/10.1556/606.2024.01195
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.27
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article

Reactive powder concrete beam design using a mathematical software to reduce costs

Hussein Kareem Sultan
1 citations
Pollack Periodica
BIM and Construction Integration
0.27
article

Reactive powder concrete beam design using a mathematical software to reduce costs

Hussein Kareem Sultan
article en
1 citations

Abstract

Abstract Reactive powder concrete is widely recognized for its remarkable mechanical characteristics and resilience, rendering it an ideal option for structural uses that include heavy loads. However, the intricate interaction of numerous material and geometric aspects makes constructing reactive powder concrete beams extremely difficult. By using MATLAB to provide an optimized design framework for beams, this research tackles these issues. Particle swarm optimization and evolutionary algorithms are two of the advanced techniques used in the study to solve the optimization problem. It also includes constraints other one as structural requirements and material limitations. Results demonstrate that MATLAB-based optimization facilitates effective design, lowering costs and material consumption, with potential for more applications in the building sector.

Pollack PeriodicaVol. 20(2)
Thi Qar University (IQ), Al-Ayen Iraqi University (IQ), Al-Muthanna University (IQ)
Openalex Percentile: Top 42%
BIM and Construction Integration
0.27
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Reactive powder concrete beam design using a mathematical software to reduce costs — Hussein Kareem Sultan · Pollack Periodica (2024) | TGRS Research Map | TGRS