Machine Learning Applications for Building Structural Design and Performance Assessment: State-of-the-Art Review (Record no. 53417)

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control field 20250625162428.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-19280
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245 10 - TITLE STATEMENT
Title Machine Learning Applications for Building Structural Design and Performance Assessment: State-of-the-Art Review
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Volume/sequential designation Journal of Building Engineering, 33(101816), 2021
520 3# - SUMMARY, ETC.
Summary, etc. Machine learning models have been shown to be useful for predicting and assessing structural performance, identifying structural condition and informing preemptive and recovery decisions by extracting patterns from data collected via various sources and media. This paper presents a review of the historical development and recent advances in the application of machine learning to the area of building structural design and performance assessment. To this end, an overview of machine learning theory and the most relevant algorithms is provided with the goal of identifying problems suitable for machine learning and the appropriate models to use. The machine learning applications in building structural design and performance assessment are then reviewed in four main categories: (1)predicting structural response and performance, (2)interpreting experimental data and formulating models to predict component-level structural properties, (3)information retrieval using images and written text and (4)recognizing patterns in structural health monitoring data. The challenges of bringing machine learning into structural engineering practice are identified, and future research opportunities are discussed.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Sun, H.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Burton, H. V.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Huang, H.
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Uniform Resource Identifier <a href="https://drive.google.com/file/d/1LNDronNd8JdbiY9wq0vznjU-ZFFLyiFg/view?usp=drivesdk">https://drive.google.com/file/d/1LNDronNd8JdbiY9wq0vznjU-ZFFLyiFg/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-19280 25.06.2025 25.06.2025 Documentos solicitados