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AI-Based Research and Experimental Analytical Assessment of Environmental and Economic Impacts of Fly Ash Utilization in Building Projects

建築プロジェクトにおけるフライアッシュ活用の環境・経済影響評価のAIベース研究と実験的分析 (AI 翻訳)

M. S. Deore, D. P. D. Nemade

International journal of recent advances in engineering & technology📚 査読済 / ジャーナル2026-02-22#AI×ESG経営インパクト: コスト削減対象セクター: construction
DOI: 10.65521/intjournalrecadvengtech.v15i1.1535
原典: https://doi.org/10.65521/intjournalrecadvengtech.v15i1.1535

🤖 gxceed AI 要約

日本語

本研究は、フライアッシュと高炉スラグを用いたジオポリマーコンクリート(GPC)の強度、耐久性、環境影響をAIモデリングで評価。従来のコンクリートと比較し、CO2排出量削減と経済性を示す。建設分野の脱炭素に貢献。

English

This study evaluates geopolymer concrete (GPC) using fly ash and GGBS, incorporating AI modeling to compare mechanical, durability, and environmental performance against conventional concrete. Findings show significant CO2 reduction and lifecycle cost benefits, supporting sustainable construction.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本の建設業界はカーボンニュートラルに向け、セメント代替材料の導入が急務。本論文は、フライアッシュ活用によるCO2削減効果と経済性を実証し、SSBJの建設セクター開示にも有用。

In the global GX context

Globally, the construction sector faces pressure to decarbonize. This paper provides empirical evidence on geopolymer concrete as a viable alternative, with AI-driven optimization, relevant to ISSB and TCFD-aligned disclosure on embodied carbon.

👥 読者別の含意

🔬研究者:Offers a comprehensive LCA and AI modeling framework for comparative assessment of sustainable concretes.

🏢実務担当者:Demonstrates how geopolymer concrete can reduce carbon footprint and lifecycle costs, making it practical for adoption.

🏛政策担当者:Highlights the potential of fly ash-based concrete to contribute to national carbon reduction targets.

📄 Abstract(原文)

The construction industry significantly contributes to global carbon emissions, primarily due to the extensive use of Ordinary Portland Cement (OPC) in conventional concrete (CC). Cement manufacturing is energy-intensive and responsible for substantial CO₂ emissions, leading to environmental degradation and climate change. Additionally, conventional concrete exhibits durability challenges when exposed to aggressive environmental conditions such as sulfate attack, acid exposure, and high temperatures. In this context, Geopolymer Concrete (GPC), synthesized using industrial by-products such as fly ash and Ground Granulated Blast Furnace Slag (GGBS) activated by alkaline solutions, has emerged as a promising sustainable alternative. This research presents an AI-based research and experimental analytical assessment of the environmental and economic impacts of fly ash utilization in building projects by comparing GPC with conventional M-30 grade concrete. The experimental methodology involves the design and development of M-30 grade GPC using fly ash and GGBS as binder materials activated with sodium hydroxide (NaOH) and sodium silicate (Na₂SiO₃) solutions. Mechanical performance will be evaluated using compressive, split tensile, and flexural strength tests on cube, cylinder, and beam specimens. Durability assessment will include water absorption tests to evaluate porosity and permeability, acid and sulfate resistance tests to analyze chemical durability, and thermal resistance tests to assess performance under elevated temperatures. Furthermore, a comprehensive Life Cycle Assessment (LCA) will be conducted to quantify CO₂ emissions, embodied energy, and environmental impacts associated with both GPC and CC. AI-based analytical modeling techniques will be employed to predict performance trends, optimize mix proportions, and evaluate sustainability indicators. The proposed work aims to establish a comparative framework for assessing strength, durability, carbon footprint, and cost-effectiveness of GPC and CC. Expected outcomes include significant reduction in CO₂ emissions due to partial or complete replacement of OPC, improved resistance to aggressive environments, enhanced thermal stability, and long-term economic benefits through reduced maintenance and lifecycle costs. AI-driven analysis is anticipated to improve predictive accuracy and decision-making for sustainable construction practices. The study concludes by proposing geopolymer concrete as a technically viable, environmentally sustainable, and economically feasible alternative to conventional concrete for structural applications, particularly in M-30 grade construction, without compromising mechanical performance and durability.

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