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In the wake of escalating service demands on key-section components within renewable energy systems, coupled with the ambitious goals of carbon neutrality, this paper introduces the novel “engineering damage theory.“ This groundbreaking theoretical framework is the cornerstone of our study, designed to transcend the limitations inherent in existing life assessment methodologies, which predominantly provide passive macroscopic predictions without the capability for dynamic adaptation and regulation. By integrating disciplines such as material science, information science, and mechanical science, the engineering damage theory provides a comprehensive, full-chain approach to understanding and managing the progression of structural damage from the microscale to macroscale. The development and implementation of this theory are articulated through four interconnected stages: deformation mechanism, damage regulation, life prediction, and reliability assessment. Key direction in the future to this theory is the establishment of an advanced intelligent life-management platform, which leverages real-time data acquisition and analytics to enhance the assessment of damage resistance in critical components. This platform supports the foundational elements for a next-generation digital twin system equipped with active feedback capabilities, aimed at optimizing the operational performance and safety of mechanical structures. By shifting from a traditionally passive life assessment to an active life design, the engineering damage theory not only aims to significantly extend the operational lifespan of structures but also to enhance their safety and efficiency. This proactive approach is particularly crucial in high-stakes environments where the failure of components can lead to severe consequences. Furthermore, by aligning this theory with carbon reduction initiatives, it contributes directly to the sustainability goals of modern engineering practices, promoting longer life cycles and reduced resource consumption in clean energy and beyond.

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Engineering Damage Theory Based on Multidisciplinary Paradigm in the Context of Carbon Neutrality

  • 会议论文

  • 发表日期：

    2025年

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  • Run-Zi Wang,
  • Yutaka S. Sato,
  • Shun Tokita,
  • Xian-Cheng Zhang,
  • Shan-Tung Tu

摘要

In the wake of escalating service demands on key-section components within renewable energy systems, coupled with the ambitious goals of carbon neutrality, this paper introduces the novel “engineering damage theory.“ This groundbreaking theoretical framework is the cornerstone of our study, designed to transcend the limitations inherent in existing life assessment methodologies, which predominantly provide passive macroscopic predictions without the capability for dynamic adaptation and regulation. By integrating disciplines such as material science, information science, and mechanical science, the engineering damage theory provides a comprehensive, full-chain approach to understanding and managing the progression of structural damage from the microscale to macroscale. The development and implementation of this theory are articulated through four interconnected stages: deformation mechanism, damage regulation, life prediction, and reliability assessment. Key direction in the future to this theory is the establishment of an advanced intelligent life-management platform, which leverages real-time data acquisition and analytics to enhance the assessment of damage resistance in critical components. This platform supports the foundational elements for a next-generation digital twin system equipped with active feedback capabilities, aimed at optimizing the operational performance and safety of mechanical structures. By shifting from a traditionally passive life assessment to an active life design, the engineering damage theory not only aims to significantly extend the operational lifespan of structures but also to enhance their safety and efficiency. This proactive approach is particularly crucial in high-stakes environments where the failure of components can lead to severe consequences. Furthermore, by aligning this theory with carbon reduction initiatives, it contributes directly to the sustainability goals of modern engineering practices, promoting longer life cycles and reduced resource consumption in clean energy and beyond.