Scholarlink

Abstract <p>Durability analysis is a key metric for evaluating the strength and reliability of civil structures. In this study, recycled fine aggregate (RFA) was incorporated with river sand and ordinary Portland cement (OPC), with RFA percentages ranging from 0% to 100% and curing periods from 7 to 90&#xa0;days. The analysis was conducted in two phases: experimental testing and MATLAB-based simulation. For the simulation, a novel Seagull MobileNet Optimal Prediction System (SMOPS) was developed to predict optimal durability outcomes. The durability tests included water absorption, water sorptivity, water permeability, rapid chloride penetration, drying shrinkage, carbonation depth, and acid–alkaline resistance. For acid–alkaline exposure, the experimental tests were extended to 180&#xa0;days to monitor changes in compressive strength. The immersion mediums considered were water, H<sub>2</sub>SO<sub>4</sub>, and NaOH. A comparative analysis showed close agreement between the experimental and simulation results, with the proposed SMOPS model providing accurate durability predictions and reduced prediction error.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Durability Testing for the Optimal Mix of Natural Fine Aggregates with Fine Recycled Concrete Aggregates

  • 期刊论文

  • 发表日期：

    2026年7月8日

查看全文
  • Anasna Kareem,
  • Dipak Kumar Sahoo,
  • S. Ramadass

摘要

Abstract

Durability analysis is a key metric for evaluating the strength and reliability of civil structures. In this study, recycled fine aggregate (RFA) was incorporated with river sand and ordinary Portland cement (OPC), with RFA percentages ranging from 0% to 100% and curing periods from 7 to 90 days. The analysis was conducted in two phases: experimental testing and MATLAB-based simulation. For the simulation, a novel Seagull MobileNet Optimal Prediction System (SMOPS) was developed to predict optimal durability outcomes. The durability tests included water absorption, water sorptivity, water permeability, rapid chloride penetration, drying shrinkage, carbonation depth, and acid–alkaline resistance. For acid–alkaline exposure, the experimental tests were extended to 180 days to monitor changes in compressive strength. The immersion mediums considered were water, H2SO4, and NaOH. A comparative analysis showed close agreement between the experimental and simulation results, with the proposed SMOPS model providing accurate durability predictions and reduced prediction error.

Graphical Abstract