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2 edition of Identification, detection, and validation of vibrating structures found in the catalog.

Identification, detection, and validation of vibrating structures

J. V. Candy

Identification, detection, and validation of vibrating structures

a signal processing approach

by J. V. Candy

  • 33 Want to read
  • 37 Currently reading

Published by Technial Information Dept., Lawrence Livermore Laboratory, Available from National Technical Information Service in Livermore, Calif, Springfield, VA .
Written in English

    Subjects:
  • Structural engineering.,
  • Vibration.

  • Edition Notes

    StatementJ.V. Candy and D.L. Lager.
    ContributionsLager, D. L., Lawrence Livermore Laboratory. Technical Information Dept.
    The Physical Object
    Pagination1 v. (various pagings) :
    ID Numbers
    Open LibraryOL17655880M

      Hsu W-K, Chiou D-J, Chen C-W, Liu M-Y, Chiang W-L and Huang P-C () Sensitivity of initial damage detection for steel structures using the Hilbert-Huang transform method Journal of Vibration and Control 19 (6): Epub ahead of print 29 February doi: /Cited by: In this work, a vibration based damage identification technique (VBDIT) is used to determine the presence of damages in metallic structures, using the undamaged structure information as reference. A complex structure is used in order to contrast the results obtained with those reported for techniques previously employed specially on single beam simulated by: 2.

    “Vibration-based damage identification in beam structures through wavelet analysis” and an effective measured data analysis procedure), so as to detect the damage occurrence at the earliest possible time and to intervene before the failure. Worden and Dulieu-Barton () identify four key multidisciplinary areas. Figure 5 summarizes the algorithm developed and illustrates the steps of the method for stochastic identification of structures. In this way, the identification results are presented in Fig. 6 to 8, with p varying from 10 to 60 for data with 1% of noise at different WT levels.

    Structural Health Monitoring Proceedings of the Fifth European Workshop, Naples, Italy, June July 4, Editors: Fabio Casciati and Michele Giordano ISBN: , , 1, pages, Hardcover book with CD-ROM, 6×9, author index. erature surveys on damage identification using vibration based methods are given in [13]. Qiao et - al. in [3] classified different damage identification methods for beam-type and plate-type structures into four categories, namely, natural frequency-based, mode shape-based, curvature of .


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Identification, detection, and validation of vibrating structures by J. V. Candy Download PDF EPUB FB2

Get and validation of vibrating structures book from a library. Identification, detection, and validation of vibrating structures: a signal processing approach. [J V Candy; D L Lager; Lawrence Livermore Laboratory.

Technical Information Department.]. Part of the International Centre for Mechanical Sciences book series (CISM, volume ) Log in to check access. Buy eBook. USD Identification of Vibrating Structures: An Introduction. Natke. Pages Multi-Degree-of-Freedom Systems- A Review Identifikationsverfahren Schwingung Structures identification oscillation rating.

Despite many advances in nonlinear system identification and developments in the numerical computation of nonlinear systems, there is little or no activity on the integration of experimental nonlinear identification and the validation of FE models of structures with identified nonlinearities using measured and numerical by: 5.

An overview of the principles and techniques of time-series methods for fault detection, identification and estimation in vibrating structures is presented, and. Identification of linear time-varying structural system using correlation-based Hilbert-Huang transform method.

Journal of Sound and Vibration, (under review). (Chapter 5) The estimated percentage contribution of the candidate is 70%. Bao C, Hao H, Li Z. Multi-stage identification scheme for detecting damage in structures underFile Size: 4MB. A critical comparison of four stochastic (PEM, 2SLS, LMS, IV) and three deterministic (LS, Prony, ERA) methods for the parametric and validation of vibrating structures book identification of vibrating structures from random excitation and noise-corrupted response signals is by: A time-domain procedure for the identification of nonlinear vibrating structures, presented in a companion paper, is applied to a “calibration” problem which incorporates realistic test situations and nonlinear structural characteristics widely encountered in the applied mechanics by: Abstract.

The dynamic behaviour of novel and complicated structures has to be investigated by system analysis based on drawings (Fig. Starting from a physical model, neglecting all physical effects which are not relevant to the problem to be investigated, one has to build up the mathematical model as a structured equation (parametric model).Cited by: 3.

This book focuses on inverse methods for damage detection inverse methods from the first two chapters. The rest of the book, chapters 3 to 8, presents updated advanced techniques for detecting damage with discussions of real-life applications.

Overall, this is a good book on dynamic methods for damage detection in structures.” (Ran Zhou. Identification of Nonlinear Vibrating Structures: Part I-Formulation A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, multi-degree-of-freedom systems undergoing free oscillations or sub- jected to arbitrary direct force excitations and/or nonuniform support motions.

Identification of Nonlinear Vibrating Structures: Part I—Formulation S. F., Miller, R. K., Saud, A. F., and Caughey, T. (December 1, ). "Identification of Nonlinear Vibrating Structures: Part I—Formulation." ASME. Recursive least-squares parameter estimation methods combined with non-parametric identification techniques Cited by: All structures such as bridges, buildings and dams are deteriorated by environmental conditions like corrosion, earthquake and traffic after they are built.

Therefore, vibration-based damage identification (VBDI) techniques have attracted attention to verify the safety and functionality of structures. Conventional damage identification techniques such as non-destructive evaluation Author: chaewoon lim.

Modal identification and damage detection in structures using non-linear and non-stationary vibration response Article (PDF Available) in Journal of. Design and Performance Validation of a Wireless Sensing Unit for Structural Monitoring Applications Time series methods for fault detection and identication in vibrating structures, The Royal practicality and effectiveness are demonstrated through brief presentations of two case studies pertaining to fault detection, identification, and.

In recent years, an exponential development of vibration-based methods for damage detection and identification as well as condition monitoring used for machines and structures has been observed. This development was possible for two main reasons: the advance of apparatus and measurement techniques in vibration engineering and the development of.

detection using vibration data for civil engineering structures. A combined experimental and analytical program of research aimed at developing methods for structural damage detection using vibration data under ambient loads and Bayesian methods for FE model updating is currently underway at the Indian Institute of Science.

Parameters identification and selection in various mechatronic vibrating structures Andrzej Buchacz* & Damian Gałęziowski Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18a Street, Gliwice, PolandAuthor: Andrzej Buchacz, Damian Gałęziowski.

@article{osti_, title = {On-line failure detection of vibrating structures}, author = {Azevedo, S G and Candy, J V and Lager, D L}, abstractNote = {Nondestructive evaluation of vibrating structures for failure detection is an area of interest at the Lawrence Livermore National Laboratory.

Recent advances in signal processing and analysis of vibrating structures has. A vibration-based damage identification technique free of structural baseline information: experimental validation in multi-component plane structure H.

Xu1, Z. Su2, L. Cheng3, M. Cao4 1, 2, 3Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong SARAuthor: H. Xu, Z. Su, L. Cheng, M. Cao. TABLE OF CONTENTS Preface KEYNOTE PRESENTATIONS New Technology Frontiers on Commercial Aircrafts A New Look in Design of Intelligent Structures with SHM The Multidisciplinary Approach to SHM The Challenge of Long-Span Suspended Bridges Towards Damage and Structural Health Monitoring of Aerospace Composite Structures using Optical.

Structural Health Monitoring Proceedings of the Third European Workshop, Conference Centre, Granada, Spain, JulyEdited by Alfredo Güemes, Department of Aeronautics, Universidad Politécnica de Madrid, Spain.

ISBN,1, pages, 6×9, Hardcover.Structural fault detection and identification remains an area of active research. Solutions to fault detection and identification, fdi, may be based on subtle changes in the time series history of vibration signals originating from various sensor locations throughout the : Kenneth W.

Eure, Edward Hogge, Cuong C. Quach, Sixto L. Vazquez, Andrew Russell, Boyd L. Hill.Computational Methods for Identification of Vibrating Structures F.J. Cara 1, J. Carpio 2, J. Juan 2 and E.

Alarcon 1 1 Department of Structural Mechanics and Industrial Constructions 2 Department of Organization Engineering, Business Administration and Statistics Polytechnical University of Madrid, Spain Civil-Comp Press,