Lignin-Engineered Self-Sensing Composites: A Materials Framework for Sustainable Buildings
リグニン工学による自己センシング複合材料:持続可能な建築のための材料フレームワーク (AI 翻訳)
Mahantayya K Hiremath, Sharmila A, Gopal Malba Alapure, S.Rivetha, Junead M, Baburao Gaddala, Prashant Sunagar
🤖 gxceed AI 要約
日本語
建設部門の炭素排出削減に向け、天然繊維複合材料(NFC)にリグニン由来マトリクスと導電性センサを統合する枠組みを提案。リグニン樹脂が強度を向上させ、センサで構造監視が可能。個別技術の有効性を示すが、統合応用は未実施で、実用化への課題とロードマップを提示。
English
This paper proposes a framework integrating lignin-based matrices and conductive sensors into natural fiber composites (NFCs) for sustainable buildings. It reviews studies showing improved mechanical properties and sensing capabilities, but notes that combined application is untested. It outlines barriers and a testing roadmap for deployment.
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
日本の建築分野では、カーボンニュートラル達成に向け建材の脱炭素化が急務。本提案は国産バイオマス利用や建築物の長寿命化に寄与する可能性があり、SSBJや省エネ基準への適合に間接的に貢献し得る。
In the global GX context
Globally, the construction sector's embodied carbon is under scrutiny, and bio-based materials with embedded sensing align with circular economy and smart building trends. This framework could support green building certifications and climate disclosure, though it is at an early stage.
👥 読者別の含意
🔬研究者:Provides a research agenda for combining lignin-based composites with sensing technologies for structural health monitoring.
🏢実務担当者:Offers insights into bio-based materials that could reduce embodied carbon in construction, though practical integration is not yet ready.
🏛政策担当者:Highlights potential for bio-based construction materials to contribute to decarbonization, suggesting policy support for R&D.
📄 Abstract(原文)
Due to the construction sector’s high contribution to embodied carbon, interest exists in utilizing bio-based materials as an alternative to conventional construction materials. NFCs containing cellulosic fibers like flax, hemp, jute, and kenaf have favorable properties relative to conventional construction materials, but their use in housing construction has been limited both by the adhesion issues between the fibers and conventional matrices, as well as due to a lack of methods for monitoring the condition of NFCs after they are constructed. One framework for addressing these issues utilizes technical lignin, a byproduct of the pulp and biorefinery industries, to create matrices for NFCs, as well as to produce carbon-based layers that are conductive and act as strain sensors. These strain sensors can be utilized in conjunction with fiber-optic, mechanoelectrical, and wireless sensors that employ low amounts of power to monitor the NFCs after they are constructed. By drawing on the results of several different recent studies that have employed these techniques, such as the study that found that using lignin-based resins increased the flexural strength of jute fiber composites by 69.7% and the flexural modulus by 291.7%, another that found that treating hemp/cement composites with alkyl-ketene dimers resulted in 28% higher compressive and flexural strength, and yet another that found that using a contactless mechanoelectrical method to monitor the fatigue of flax/epoxy composites without embedded sensors is effective, it is possible to establish that each of these techniques can be separately applied to natural fiber composites. However, the combined application of these techniques to the same class of composite material has not yet been observed in any published studies. Furthermore, while it is possible to create a comparison of the performance and life-cycle of natural fiber composites to conventional building envelope materials in aspects not yet covered by the published research, it is also possible to propose a method for integrating these different techniques into building components like wall panels, studs, and roof sheathing. Finally, each of the techniques can be evaluated in relation to their potential barriers to widespread deployment, and a suggested roadmap for testing these different techniques in combination with one another can be proposed.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://cspub-ijcisim.org/index.php/ijcisim/article/download/4034/3245first seen 2026-08-14 05:43:40
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