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Titlebook: Computational Techniques for Structural Health Monitoring; Srinivasan Gopalakrishnan,Massimo Ruzzene,Sathyana Book 2011 Springer-Verlag Lo

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書目名稱Computational Techniques for Structural Health Monitoring
編輯Srinivasan Gopalakrishnan,Massimo Ruzzene,Sathyana
視頻videohttp://file.papertrans.cn/234/233182/233182.mp4
概述Covers in detail the different computational methodologies available for rapid detection of flaws in structure.Presents techniques, algorithms and results in a way that allows their direct application
叢書名稱Springer Series in Reliability Engineering
圖書封面Titlebook: Computational Techniques for Structural Health Monitoring;  Srinivasan Gopalakrishnan,Massimo Ruzzene,Sathyana Book 2011 Springer-Verlag Lo
描述.The increased level of activity on structural health monitoring (SHM) in various universities and research labs has resulted in the development of new methodologies for both identifying the existing damage in structures and predicting the onset of damage that may occur during service. Designers often have to consult a variety of textbooks, journal papers and reports, because many of these methodologies require advanced knowledge of mechanics, dynamics, wave propagation, and material science. .Computational Techniques for Structural Health Monitoring. gives a one-volume, in-depth introduction to the different computational methodologies available for rapid detection of flaws in structures..Techniques, algorithms and results are presented in a way that allows their direct application. A number of case studies are included to highlight further the practical aspects of the selected topics.? .Computational Techniques for Structural Health Monitoring. also provides the reader with numerical simulation tools that are essential to the development of novel algorithms for the interpretation of experimental measurements, and for the identification of damage and its characterization..Upon rea
出版日期Book 2011
關(guān)鍵詞Computational Techniques; Damage Models; Structural Health Monitoring; Vibrations; Wave Propagation
版次1
doihttps://doi.org/10.1007/978-0-85729-284-1
isbn_softcover978-1-4471-2685-0
isbn_ebook978-0-85729-284-1Series ISSN 1614-7839 Series E-ISSN 2196-999X
issn_series 1614-7839
copyrightSpringer-Verlag London Limited 2011
The information of publication is updating

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Application of the Finite Element Method in SHM, the procedure to select a proper FE mesh size for a given frequency content of a predefined input is given. A relationship between the damage size and the frequency of the predefined input signal is then established. Different methods of modeling flaws in FEM and their utility in SHM studies are e
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Spectral Finite Element Methodte element formulation and illustrates its utility for wave propagation studies is complex structural components. Two variants of spectral formulations, namely the Fourier transform-based, and Wavelet transform-based spectral FEM are presented for both 1D and 2D waveguides. A number of examples are
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Bridging Scales Analysis of Wave Propagation in Heterogeneous Structures with Imperfectionsf wavefield in damaged media can be useful to investigate the problem theoretically and to support the interpretation of experimental measurements. A finite element analysis of non homogeneous media can be computationally very expensive, especially when a fine mesh is required to properly model the
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Computational Techniques for Damage Detection, Classification and Quantificationifying structural damage. A quick summary of vibration-based techniques is first provided as an introduction to the strain?energy ratio technique. The ability of the strain energy ratio to locate damage and potentially estimate its severity is illustrated through numerical simulations and experiment
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Use of Soft Computing Tools for Damage Detectionnetic algorithms and the artificial neural network are addressed in regard to damage detection. Implementation of these methods under spectral finite element environment is discussed. The chapter first gives basic introduction to these methods and outlines the procedure for adaptation under spectral
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