Topology Optimization and Performance Evaluation of Prefabricated Concrete Joints Based on LCA Emissions
プレキャストコンクリート接合部のトポロジー最適化とLCA排出量に基づく性能評価 (AI 翻訳)
Sakura Kato, Gabriel Robert
🤖 gxceed AI 要約
日本語
本論文は、プレキャストコンクリート接合部の設計にトポロジー最適化とLCAを統合し、地球温暖化係数を目的関数に組み込むことで、力学性能と環境影響のバランスを図る。最適化により約30%の質量削減と、セメント量削減による大幅な排出削減を達成。コンクリートと鉄筋の炭素強度差を考慮した手法を提示。
English
This paper integrates topology optimization with LCA for prefabricated concrete joints, incorporating global warming potential as an objective variable. The optimized design achieves a 30% mass reduction and significant embodied carbon savings by reducing cementitious volume and optimizing reinforcement placement. It demonstrates generative design's viability for low-carbon infrastructure.
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
日本では建設業の脱炭素化が急務であり、プレキャスト工法の普及と併せて本手法は接合部の設計最適化による即効性のある排出削減策を提供する。SSBJ/有報でのスコープ3排出量算定にも資する。
In the global GX context
Globally, embodied carbon reduction in concrete is critical for net-zero targets. This framework directly addresses Scope 3 emissions from construction materials and aligns with ISSB/CSRD disclosure requirements by providing a quantifiable method to lower carbon footprint at the design stage.
👥 読者別の含意
🔬研究者:Demonstrates an integrated optimization-LCA framework for reducing embodied carbon in reinforced concrete joints, highlighting the trade-off between structural performance and environmental impact.
🏢実務担当者:Precast concrete manufacturers can adopt this methodology to redesign joints for lower carbon footprint and material cost without compromising safety.
🏛政策担当者:Provides evidence that design optimization can achieve substantial emissions cuts, supporting policies for embodied carbon limits in building codes and green procurement.
📄 Abstract（原文）
The construction industry is currently undergoing a paradigm shift driven by the dual imperatives of structural efficiency and environmental sustainability. Prefabricated concrete structures offer significant advantages in terms of quality control and construction speed, yet the design of connection joints remains a critical bottleneck, often characterized by material redundancy and high embodied carbon. This study proposes an integrated framework that combines topology optimization algorithms with Life Cycle Assessment (LCA) methodologies to redesign prefabricated concrete joints. By incorporating Global Warming Potential (GWP) as a weighted variable within the optimization objective function, we move beyond traditional compliance minimization to seek a balance between mechanical performance and environmental impact. The research utilizes a density-based topology optimization approach, modified to account for the differential carbon intensity of concrete and steel reinforcement. The methodology is applied to a standard beam-column connection, evaluating the resulting geometries against conventional designs. Results indicate that the optimized joint configuration achieves a mass reduction of approximately thirty percent while maintaining structural integrity within mandated safety factors. Furthermore, the LCA analysis reveals a significant decrease in embodied emissions, primarily due to the reduction of cementitious volume and the optimized placement of reinforcement. This paper demonstrates the viability of generative design in reducing the carbon footprint of civil infrastructure and highlights the necessity of considering environmental metrics at the conceptual design stage.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.71465/gmssrj148first seen 2026-06-29 06:45:09
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