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BRACE2: Bridge Rapid Assessment Center for Extreme Events Phase I Final Report
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2024-05-12
[PDF-43.08 MB]
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Edition:Final Report 8/1/2020 – 1/31/2024
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Abstract:This report documents the findings of the BRACE2 project. In order to accommodate the interdisciplinary nature of such an undertaking, this document is divided into four parts which are each designed for a particular target audience. Part I develops a high-level overview of the BRACE2 web application that is targeted at decision makers and engineers. Chapter 1 introduces essential concepts that lay the foundation for structural health monitoring. Chapter 2 provides a user’s guide for realizing these concepts with the health monitoring platform, the primary deliverable of the BRACE2 project. Finally, Chapter 3 documents an example scenario. Part II is targeted at practicing engineers and also researchers. The concept of a predictor is developed in detail, which provides the fundamental abstraction through which structural health monitoring is performed. The predictors that perform bridge response simulation are Type I predictors. They consist of a family of structural analysis models. The general process for constructing a Type I predictor is described in Chapter 4. The predictors that perform data-driven bridge dynamics identification are Type II predictors. They consist of a family of system identification procedures. A practical guide to viewing, configuring, and interpreting the results of Type II predictors is provided in Chapter 5. Part III documents the pilot studies that have been performed as part of Phase I of the BRACE2 project. This material will be a valuable resource for engineers that may be tasked with developing new digital twins to be added to the platform. These studies consist of 21 partial digital twins that are documented in Chapter 6 and one complete digital twin centered around Caltrans bridge No. 33-0214L (route 580/238 separation structure, or Hayward Bridge, for short) that is documented in Chapters 7 to 9. Specifically, Chapter 7 describes in depth the physical properties of the bridge, Chapter 8 gives a detailed account of the high-fidelity pilot model that was developed for the complete digital twin, and Chapter 9 documents an example simulation. Part IV collects technical documentation which will aid in the successful transfer, deployment, and long-term operation of the health monitoring platform. The target audience includes system administrators (Chapters 10 and 11), future researchers (Chapters 12 and 13), and source code maintainers (Chapter 14).
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