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This chapter explores the integration of structural health monitoring (SHM) and numerical simulation models for recycled aggregate concrete (RAC) in real-world design. It discusses the use of big data and artificial neural networks to predict RAC behavior and evaluate its long-term performance. Case studies on a 12-story RAC structure illustrate the monitoring techniques and simulation models used to assess its dynamic response. The chapter emphasizes the importance of real-time monitoring for maintaining the integrity of RAC structures and proposes methodologies for more accurate predictions of RAC’s behavior under various loading conditions.

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Structural Health Monitoring and Numerical Simulation Models for Practical Design

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  • 发表日期：

    2025年

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  • Jianzhuang Xiao

摘要

This chapter explores the integration of structural health monitoring (SHM) and numerical simulation models for recycled aggregate concrete (RAC) in real-world design. It discusses the use of big data and artificial neural networks to predict RAC behavior and evaluate its long-term performance. Case studies on a 12-story RAC structure illustrate the monitoring techniques and simulation models used to assess its dynamic response. The chapter emphasizes the importance of real-time monitoring for maintaining the integrity of RAC structures and proposes methodologies for more accurate predictions of RAC’s behavior under various loading conditions.