Structural Engineering Innovations for Designing Resilient and Sustainable Urban Infrastructure Systems
レジリエントで持続可能な都市インフラシステムのための構造工学革新 (AI 翻訳)
Zumrat Xudoyberdiyeva, Manzura Abdurahimova, Ruziboy Tangirov, Sevarakhon Nazarova, Durdona Shukrullayeva, Dilfuza Abdumalikova, Khusnobod Khushvaktova
🤖 gxceed AI 要約
日本語
都市インフラの持続可能性とレジリエンス向上のための構造工学革新を分析。スマートセンサーやBIM、高性能材料の導入により、耐久性35%向上、維持費25-35%削減、炭素排出量22-30%低減を確認。災害時の構造要素回復率も40%向上。
English
This study analyzes structural engineering innovations for enhancing urban infrastructure sustainability and resilience. Integration of smart sensors, BIM, and high-performance materials yields 35% durability improvement, 25-35% maintenance cost reduction, 22-30% lower carbon emissions, and 40% higher recovery rate after extreme events.
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
日本の老朽化インフラ更新や都市防災強化の文脈で、コスト削減と環境負荷低減を両立する構造技術の実証データを提供。SSBJとは直接関係ないが、建設分野の脱炭素に資する。
In the global GX context
This paper provides empirical evidence on structural innovations that reduce carbon emissions and improve resilience, relevant for global urban sustainability frameworks like the UN SDGs and green building certifications.
👥 読者別の含意
🔬研究者:Quantitative evidence on performance of innovative structural materials and monitoring systems for sustainable infrastructure.
🏢実務担当者:Practical recommendations for adopting smart sensors, BIM, and green materials to reduce costs and emissions in urban projects.
🏛政策担当者:Data-driven justification for investing in resilient and low-carbon infrastructure in urban planning.
📄 Abstract（原文）
Infrastructure systems in urban areas are facing various challenges due to increased urbanization, climate change, a growing global population, and limited resources. The latest estimates from the global level indicate that by 2050, about 68% of the global population will live in cities, increasing pressure on transportation systems, buildings, water networks, and energy systems. Moreover, classical structural engineering methods do not provide enough sustainability and resilience against natural disasters or environmental degradation. Structural engineering solutions for resilient and sustainable urban infrastructure systems, using innovative materials, intelligent monitoring, and adaptive strategies, are studied. A mixed-methods approach is used in this study, which includes qualitative and quantitative analyses of urban infrastructure case studies published from 2018 to 2025, conducted through a thorough literature search. About 60 journal articles and 15 case studies of urban infrastructure systems from an international perspective are assessed using indicators of sustainability, disaster resilience, and lifecycle analysis. A comparison of these structures is carried out using indicators such as structural efficiency, energy use, environmental impact, and disaster resistance. Innovative structural systems incorporating smart sensors, Building Information Modeling (BIM), and high-performance, sustainable materials showed increases in durability of up to 35% and decreases in maintenance costs of 25–35% compared to traditional methods. The green construction method showed about 22-30% lower carbon emissions compared to traditional structures, and the disaster-resilient structural framework achieved a 40% higher recovery rate for structural elements following an extreme weather event. It can be concluded that combining resilient engineering technology with strategic sustainable urban development would promote the reliability, environmental sustainability, and life-cycle efficiency of the structures of an urban infrastructure system. Practical recommendations for stakeholders, engineers, and planners are presented based on research conducted during the development of a smart, sustainable city.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.71086/iajir/v13i2/iajir1326first seen 2026-07-26 06:17:42
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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。