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Titlebook: Experimental Vibration Analysis for Civil Structures; Testing, Sensing, Mo Joel P. Conte,Rodrigo Astroza,Babak Moaveni Conference proceedin

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發(fā)表于 2025-3-21 16:07:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Experimental Vibration Analysis for Civil Structures
副標題Testing, Sensing, Mo
編輯Joel P. Conte,Rodrigo Astroza,Babak Moaveni
視頻videohttp://file.papertrans.cn/319/318951/318951.mp4
叢書名稱Lecture Notes in Civil Engineering
圖書封面Titlebook: Experimental Vibration Analysis for Civil Structures; Testing, Sensing, Mo Joel P. Conte,Rodrigo Astroza,Babak Moaveni Conference proceedin
描述.This edited volume presents selected contributions from the International Conference on Experimental Vibration Analysis of Civil Engineering Structures held in San Diego, California in 2017 (EVACES2017). 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..
出版日期Conference proceedings 2018
關鍵詞EVACES; Experimental dynamics; Civil structures; Structural health monitoring; Vibration analysis; Model
版次1
doihttps://doi.org/10.1007/978-3-319-67443-8
isbn_softcover978-3-319-88430-1
isbn_ebook978-3-319-67443-8Series ISSN 2366-2557 Series E-ISSN 2366-2565
issn_series 2366-2557
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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發(fā)表于 2025-3-21 23:21:06 | 只看該作者
https://doi.org/10.1007/978-3-319-67443-8EVACES; Experimental dynamics; Civil structures; Structural health monitoring; Vibration analysis; Model
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Master-Detail Menu and Dashboard,d framework, modeling uncertainties are quantified and propagated through simulations using probability tools. Bayes theorem is used to select the most appropriate model among alternative competing ones, to estimate the parameters of a model and the uncertainties in the parameters, and to propagate
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Introduction to Common Crawl Datasets, this study, a new displacement sensor module is developed by integrating GPS-RTK and accelerometer sensors into a single unit so that dynamic and pseudo-static displacements of various civil engineering structures can be measured with high accuracy, precision and sampling rate. Displacement is esti
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Preparing for Lead Paint Hazard Controls of different materials i.e. aluminum and stainless steel. Different crack lengths are introduced on the beams from 0–10?mm with 2?mm interval. 0?mm, 2?mm, 4?mm, 6?mm, 8?mm and 10?mm cracks denotes damage level 0, 1, 2, 3, 4 and 5 respectively. The undamaged cantilever structure is treated as damag
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https://doi.org/10.1007/978-1-4842-2295-9researchers have focused on the development of consistent and reliable indicators aiming to detect, locate, quantify or even predict damage. More recently, some researchers are focusing on the use of raw time histories extracted from structural dynamic monitoring to build damage indicators. In this
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Starting Out with the Right Education, from non-destructive testing (NDT) and structural health monitoring (SHM) industries and the public. The primary objective is an official Federal Highway Administration (FHWA) website offering guidance and training on how technology tools may be selected and applied with sufficient depth to generat
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