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Titlebook: Experimental Vibration Analysis for Civil Engineering Structures; EVACES 2023 - Volume Maria Pina Limongelli,Pier Francesco Giordano,Alfr C

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書(shū)目名稱(chēng)Experimental Vibration Analysis for Civil Engineering Structures
副標(biāo)題EVACES 2023 - Volume
編輯Maria Pina Limongelli,Pier Francesco Giordano,Alfr
視頻videohttp://file.papertrans.cn/319/318948/318948.mp4
概述Presents the latest developments in experimental vibration analysis for civil engineering.Covers a wide range of topics such as damage identification, vibration control, and coupled dynamical systems.
叢書(shū)名稱(chēng)Lecture Notes in Civil Engineering
圖書(shū)封面Titlebook: Experimental Vibration Analysis for Civil Engineering Structures; EVACES 2023 - Volume Maria Pina Limongelli,Pier Francesco Giordano,Alfr C
描述This volume presents peer-reviewed contributions from the 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES), held in Milan, Italy on August 30-September 1, 2023.?The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in?all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition?assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation. The topics included?but?were?not limited to: damage identification?and structural health monitoring; testing, sensing and modeling; vibration isolation and control; system and model identification; coupled dynamical systems (including human–structure, vehicle–structure, and soil–structureinteraction); and application of advanced techniques involving the Internet of Things, robot, UAV, big data and artificial intelligence.
出版日期Conference proceedings 2023
關(guān)鍵詞EVACES; Experimental Dynamics; Structural Health Monitoring; Vibration Analysis; System Identification; V
版次1
doihttps://doi.org/10.1007/978-3-031-39117-0
isbn_softcover978-3-031-39119-4
isbn_ebook978-3-031-39117-0Series ISSN 2366-2557 Series E-ISSN 2366-2565
issn_series 2366-2557
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Lecture Notes in Civil Engineeringhttp://image.papertrans.cn/e/image/318948.jpg
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https://doi.org/10.1007/978-3-031-39117-0EVACES; Experimental Dynamics; Structural Health Monitoring; Vibration Analysis; System Identification; V
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https://doi.org/10.1007/978-3-030-89254-8 estimates are inaccurate when the model order of the dynamic system is misspecified. In practice, the choice of the model order is either based on heuristics, or it relies on procedures assessing the fit of the identified model to data, disregarding the statistical information content in the obtain
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https://doi.org/10.1057/9780230236943es that the structure is linear viscously damped and has a rigid base. Five state-of-the-art state-space-based time domain system identification methods, including two input-output and three output-only, are used to identify the modal properties of the structure by using the seismic vibration data r
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