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発泡ポリスチレンと石灰石焼成粘土セメントを用いた低炭素コアシェル型冷間結合軽量骨材:粒子スケール性能、持続可能性、物理情報に基づく予測

Low-carbon core-shell cold-bonded lightweight aggregates using expanded polystyrene and limestone calcined clay cement: Particle-scale performance, sustainability, and physics-informed prediction (原題)

Hammad Salahuddin, Kinza Faisal Jamal, Muhammad Huzaifah Khalid, Jıanbo Feı, Xiangsheng Chen

Construction and Building Materials📚 査読済 / ジャーナル2026-09-29#その他Origin: CN経営インパクト: コスト削減対象セクター: construction
DOI: 10.1016/j.conbuildmat.2026.148340
原典: https://doi.org/10.1016/j.conbuildmat.2026.148340

🤖 gxceed AI 要約

日本語

EPSコアとLC3シェルを組み合わせた冷間結合軽量骨材(CSLWA)を開発し、コア径・シェル厚・LC3組成・養生条件が粒子性能に与える影響を解明した。シェル厚/半径比(t/R)が支配的で、t/R≈0.4付近に性能転移点がある。LC50が強度-密度効率に優れ、LC30は埋め込み炭素を最大48%削減。物理情報を組み込んだニューラルネットワークで強度・密度を高精度予測(R²=0.955/0.951)した。

English

This study develops low-carbon core-shell lightweight aggregates (CSLWAs) using EPS cores and LC3 shells, examining how core size, shell thickness, LC3 composition, and curing affect particle-scale performance. The shell-thickness-to-radius ratio (t/R) dominates behavior with a transition near 0.4; LC50 offers the best strength-density efficiency while LC30 cuts embodied carbon by up to 48%. A physics-informed neural network predicts strength and density (R²=0.955/0.951), improving robustness over a data-driven baseline.

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

建設資材の脱炭素はScope 3上流(カテゴリ1)排出に直結し、LC3など代替セメントの採用は日本企業のサプライチェーン排出削減に寄与しうる。SSBJ/Scope 3開示を進める建設・不動産セクターにとって、低炭素骨材の物性・炭素・コストのトレードオフを示す実用的知見となる。

In the global GX context

Embodied-carbon reductions in construction materials feed directly into Scope 3 Category 1 (purchased goods) accounting under GHG Protocol, TCFD, and ISSB/CSRD disclosure. The cradle-to-gate carbon and cost comparison for LC3 binders offers a concrete data point for transition-planning and low-carbon procurement in the built environment.

👥 読者別の含意

🔬研究者:LC3系低炭素骨材の粒子スケール設計指針と、物理情報NNによる材料物性予測の有効性を提供する。

🏢実務担当者:低炭素骨材の強度・密度・炭素・コストのトレードオフを把握し、Scope 3上流排出削減の調達判断に活用できる。

🏛政策担当者:建設資材の脱炭素化に向けたLC3等代替セメント普及の技術的裏付けとして参照可能。

📄 Abstract(原文)

Cold-bonded core-shell lightweight aggregates (CSLWAs) using an expanded polystyrene (EPS) core with a limestone calcined clay cement (LC3) shell offer a promising route to low-carbon lightweight aggregates; however, the coupled effects of core size, shell thickness, LC3 composition, and curing regime on particle-scale performance remain insufficiently understood. This study develops EPS-LC3-based CSLWAs by combining three discrete EPS core diameters (8, 10, and 12 mm) with three LC3 shell binders of 30%, 50%, and 70% cement content (denoted LC30, LC50, and LC70). The aggregates were cured under four regimes (air, sealed, moist, and hot water) and characterized for water absorption, particle density, single-particle compressive strength, loose bulk density, and bulk compressive response; a cradle-to-gate assessment compared the embodied carbon and cost of the three binders. The shell-thickness-to-radius ratio (t/R) dominated particle performance, with a transition near t/R ≈ 0.4, below which premature shell instability was more frequent. Increasing EPS core size lowered both bulk density and crushing strength; loose bulk densities of 630–880 kg/m³ met the ASTM C330 limit for coarse lightweight aggregate, with bulk crushing strengths of 4.4–8.9 MPa. LC50 gave the best strength-density efficiency, whereas LC30 reduced embodied carbon by up to 48%. Moist and hot water curing performed best. A physics-informed neural network embedding shell-thickness, density-volume, and curing constraints predicted particle strength and density (R² = 0.955 and 0.951), reducing cross-fold R² variability by about 44% and 35%, respectively, versus a data-driven baseline. These provide a controlled framework for designing low-carbon CSLWAs with a balanced strength, density, and carbon profile and a data-efficient prediction model.

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