From Laboratory to Building Scale: A Digital-Twin Methodology for Resilience-Oriented Assessment of RC Infrastructure Using Waste Wool-Fibre Cementitious Materials
実験室から建物スケールへ：廃羊毛繊維セメント材料を使用したRCインフラのレジリエンス指向評価のためのデジタルツイン手法 (AI 翻訳)
C. Ruiz-Díaz, Paula Triviño-Tarradas, G. Guerrero-Vacas, Ó. Rodríguez‐Alabanda, Pedro Medina-Triviño, María M. Serrano-Baena
🤖 gxceed AI 要約
日本語
本研究は、廃羊毛繊維を混入したコンクリートを用いたRC構造物と従来のRC構造物を比較するための、OpenBIMベースのデジタルツイン手法を提案する。高層ビルのIFCモデルを用いて、材料使用量、環境影響、循環性指標を自動抽出し、実験室レベルの材料性能を建物スケールの評価に結び付ける。結果、羊毛繊維代替案は、従来のRCと比較して体積エネルギーと炭素排出量の増加はごくわずかであり、ひび割れ制御や靭性などの性能が維持または向上することを示した。
English
This study proposes an OpenBIM-based digital-twin methodology to compare conventional RC structures with those using waste wool fibres in cementitious materials. Using an IFC model of a high-rise building, it automates extraction of structural quantities and assesses material use, environmental impacts, and circularity. The wool-fibre alternative shows negligible increases in embodied energy and carbon emissions while maintaining or improving crack control and toughness, providing a pathway from laboratory innovation to building-scale assessment.
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
日本ではRC構造が一般的であり、建設分野の脱炭素化が進む中、廃棄物利用による環境負荷低減は重要。ただし廃羊毛は国内供給が限られるため、国内外のサプライチェーンを含めた検討が必要となる。
In the global GX context
The methodology links material innovation to building-scale digital assessment, supporting sustainable construction practices globally. It offers a replicable framework for integrating waste materials into RC structures without significant environmental trade-offs, relevant to embodied carbon reduction targets in building codes and green building certifications.
👥 読者別の含意
🔬研究者:Provides a reproducible digital-twin workflow linking lab-scale material performance to building-level sustainability metrics, useful for future studies on circular construction materials.
🏢実務担当者:Offers a practical BIM-based tool to assess alternative concrete mixes for reduced environmental impact, applicable for engineering firms and construction companies seeking green building solutions.
📄 Abstract（原文）
As natural and anthropogenic hazards intensify, improving the performance of reinforced-concrete (RC) infrastructure within a resilience-oriented assessment framework while limiting environmental burdens has become an important challenge for sustainable construction. In this context, this study proposes an OpenBIM-based digital-twin methodology to compare two equivalent RC structural scenarios: a conventional solution and an alternative incorporating unprocessed waste sheep wool fibres into cementitious materials. Using an IFC-based model of a high-rise building, the workflow enables automated extraction of structural quantities and a consistent building-scale assessment of material use, environmental impacts, and circularity indicators. Laboratory evidence from the literature is translated into element-level performance criteria through a dual-factor selection strategy based on key structural properties and secondary indicators related to cracking and post-cracking behaviour. The results show that the wool-fibre alternative enables the incorporation of a relevant amount of waste wool into the structure while causing only negligible increases in embodied energy and carbon emissions relative to the conventional RC scenario. The selected formulations also maintain or improve the governing mechanical and serviceability-related factors, indicating potential benefits in crack control, toughness, and repairability. Overall, this methodology provides a reproducible pathway for linking laboratory-scale material innovation with building-scale digital assessment, supporting more sustainable and performance-aware decision-making in RC construction.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18083942first seen 2026-06-29 07:24:05
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。