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Optimization of Compressive Strength and Permeability of Recycled Aggregate Pervious Concrete Using Grey Wolf Optimizer

  • University of Johannesburg
  • Afe Babalola University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Pervious concrete, designed to allow water infiltration through its structure, which provides many environmental benefits, has a significant weakness related to its compressive strength due to its porous nature. Porosity is a crucial characteristic of pervious concrete, essential for its permeability performance. Knowing the factors that influence the compressive strength and Permeability of pervious concrete, experiments were conducted, and mathematical models were developed to help predict these two objectives by adjusting the models' variables. To find a good balance between strength and Permeability, this research has employed the Multi-Objective Grey Wolf Optimizer. The Optimization works on the mathematical models to improve the compressive strength and permeability coefficient of recycled aggregate pervious concrete, adding confidence to engineers considering its usage. This approach reduces the exploitation of natural aggregate and protects the environment.

Original languageEnglish
Title of host publicationInternational Conference on Electrical and Computer Engineering Researches, ICECER 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665457569
DOIs
Publication statusPublished - 2025
Event2025 International Conference on Electrical and Computer Engineering Researches, ICECER 2025 - Antananarivo, Madagascar
Duration: 6 Dec 20258 Dec 2025

Publication series

NameInternational Conference on Electrical and Computer Engineering Researches, ICECER 2025

Conference

Conference2025 International Conference on Electrical and Computer Engineering Researches, ICECER 2025
Country/TerritoryMadagascar
CityAntananarivo
Period6/12/258/12/25

Keywords

  • Permeability
  • compressive strength
  • metaheuristic optimization
  • pervious concrete
  • recycled aggregate

ASJC Scopus subject areas

  • Decision Sciences (miscellaneous)
  • Energy Engineering and Power Technology
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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