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Damage Identification Of Unreinforced Masonry Structures Based On Vibration Response


Damage Identification Of Unreinforced Masonry Structures Based On Vibration Response
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Damage Identification Of Unreinforced Masonry Structures Based On Vibration Response


Damage Identification Of Unreinforced Masonry Structures Based On Vibration Response
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Author : Claudio Andrés Oyarzo Vera
language : en
Publisher:
Release Date : 2012

Damage Identification Of Unreinforced Masonry Structures Based On Vibration Response written by Claudio Andrés Oyarzo Vera and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Buildings categories.


This thesis presents the findings of an investigation on the dynamic characterization of unreinforced masonry (URM) buildings and the use of their distinctive modal properties in identifying damage. Numerical and physical models were used to analyse the applicability of system and damage identification techniques to non-slender URM buildings. Modal tests were conducted on two undamaged URM panels and an undamaged model of a one-storey URM house. Impacts with a calibrated hammer were used to excite the specimens during the modal test, and also horizontal harmonic excitations in the case of the house model. Two system identification techniques (SSI and FDD) were considered for extracting the modal properties. The experimental results were then compared with numerical predictions obtained from finite element models, originally generated based on geometrical and mechanical properties obtained by standardized tests. The numerical predictions were improved by applying sensitivity-based model updating techniques. The evolution of the modal properties of the URM panels and house model due to damage artificially induced were also investigated. Vibration-based and model updating-based damage identification techniques were employed to detect the damage distribution in the specimens. Finally, a seismic assessment was conducted on a typical New Zealand URM building by applying time-history analysis on finite element models. An original seismic hazard zonation and methodology for selecting appropriate ground-motion records in the North Island of New Zealand is described. A typical stand-alone two-storey URM building was simulated using different finite element models. Material and geometrical properties estimated from traditional standardized test results, and properties estimated by a process of model updating based on the experimental data recorded in the vibration tests were considered for these models. The finite element models were analysed using a time-history methodology for a building in Auckland and Wellington. The response of the building was compared with admissible limits established based on a stability criteria, taking into account three levels of intensity for the ground motion.



Structural Identification And Damage Characterization Of A Full Scale Masonry Building Subject To Internal Blast Load


Structural Identification And Damage Characterization Of A Full Scale Masonry Building Subject To Internal Blast Load
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Author : Timothy Philip Kernicky
language : en
Publisher:
Release Date : 2013

Structural Identification And Damage Characterization Of A Full Scale Masonry Building Subject To Internal Blast Load written by Timothy Philip Kernicky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.


Structural identification is increasingly acquiring a role in performance-based civil engineering as it offers a means to construct high-fidelity analytical models calibrated with experimental modal parameter sets (i.e. undamped natural frequencies and mode shapes). While numerous case studies have been performed that explore and highlight the strengths of structural identification for model calibration and damage detection scenarios, the adoption into routine use within civil engineering has not yet followed. This thesis aims to add to the current research by presenting the first application of structural identification and vibration-based damage assessment of structures subjected to blast loads. This type of loading differs greatly from other extreme loading scenarios studied with structural identification, including seismic loading, in that it is highly impulsive and excites wide bandwidth structural response. Full-scale experimental testing of a two-story industrial building subject to an internal blast load was conducted to produce a real-world case study application. The experimental program encompassed experimental modal analysis of several building components, supplemental nondestructive testing, and visual documentation both prior to and after detonation of the internal charge. In addition, a suite of specialty transducers was deployed during the blast event to acquire the applied loads and dynamic response of building components during the blast. Field performance testing of structural components included outfitting the prestressed double-tee joist roof and an interior steel frame with arrays of 60 stationary accelerometers and driving dynamic structural response with excitation controlled by two long-stroke electrodynamic shakers. A partially grouted CMU infill wall modestly damaged by the blast was also tested using two stationary accelerometers and an impulse hammer both prior to and after detonation. This thesis presents the extensive treatment of response data acquired from the CMU infill wall as well as extraction of modal parameters employed for structural identification of both the in-service and damaged performance states through model updating. Genetic algorithm is applied for global optimization of uncertain modeling parameters to produce high fidelity finite element models of the wall both prior to and after the introduction of blast initiated damage. The choice of updating parameters is discussed at length for both the calibration of the initial pre-blast finite element model and the characterization of damage for the post-event model. Damage assessment of the wall through the structural identification routine yielded plausible identification and localization of damage in the wall that are consistent with observed crack patterns and expected response.



Vibration Based Techniques For Damage Detection And Localization In Engineering Structures


Vibration Based Techniques For Damage Detection And Localization In Engineering Structures
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Author : Nobari Ali Salehzadeh
language : en
Publisher: World Scientific
Release Date : 2018-05-04

Vibration Based Techniques For Damage Detection And Localization In Engineering Structures written by Nobari Ali Salehzadeh and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Technology & Engineering categories.


In the oil and gas industries, large companies are endeavoring to find and utilize efficient structural health monitoring methods in order to reduce maintenance costs and time. Through an examination of the vibration-based techniques, this title addresses theoretical, computational and experimental methods used within this trend. By providing comprehensive and up-to-date coverage of established and emerging processes, this book enables the reader to draw their own conclusions about the field of vibration-controlled damage detection in comparison with other available techniques. The chapters offer a balance between laboratory and practical applications, in addition to detailed case studies, strengths and weakness are drawn from a broad spectrum of information. Contents: Machine Learning Algorithms for Damage Detection (Eloi Figueiredo and Adam Santos)Data-Driven Methods for Vibration-Based Monitoring Based on the Singular Spectrum Analysis (Irina Trendafilova, David Garcia and Hussein Al-Bugharbee)Experimental Investigation of Delamination Effects on Modal Damping of a CFRP Laminate, Using a Statistical Rationalization Approach (Majid Khazaee, Ali Salehzadeh Nobari and M H Ferri Aliabadi)Problem of Detecting Damage Through Natural Frequency Changes (Gilbert-Rainer Gillich, Nuno N N Maia and Ion Cornel Mituletu)Damage Localization Based on Modal Response Measured with Shearography (J V Araújo dos Santos and H Lopes)Novel Techniques for Damage Detection Based on Mode Shape Analysis (Wieslaw Ostachowicz, Maciej Radzieński, Maosen Cao and Wei Xu)Damage Identification Based on Response Functions in Time and Frequency Domains (R P C Sampaio, T A N Silva, N M M Maia and S Zhong) Readership: Engineers, technicians, researchers working in the field of vibration-based techniques. Keywords: Structural Health Monitoring;SHM;Vibration-based SHM;Machine Learning;Time Domain Data Analysis;Frequency Domain Data Analysis;Damage IndexReview: Key Features: The 1st book to address theoretical, computational and experimental methodsThe book provides an up to date and comprehensive coverage of established and emerging techniques within the field of vibration-controlled damage detectionExcellent balance between laboratory and practical applicationsMany case studies in various chapters that help the reader to identify weak and strong points of various techniques



Vibration Based Damage Identification And Health Monitoring Of Civil Structures


Vibration Based Damage Identification And Health Monitoring Of Civil Structures
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Author : Xianfei He
language : en
Publisher:
Release Date : 2008

Vibration Based Damage Identification And Health Monitoring Of Civil Structures written by Xianfei He and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.


Civil structures undergo progressive deterioration due to ageing under the effects of environmental conditions. This deterioration has become a worldwide concern. In addition, natural and man-made hazards such as earthquakes, hurricanes, and explosions can also cause structural damages or exacerbate existing damage. Vibration-based structural damage identification and health monitoring has been the subject of significant research in structural engineering over the past decade. The research work presented in this dissertation consists of: (1) a comparative study of output-only system identification techniques as applied to the Alfred Zampa Memorial Bridge based on dynamic field test data, through which the performance of different output-only system identification methods applied to the bridge vibration data and corresponding to different excitation sources is investigated; (2) development of a simulation framework for wind-induced ambient vibration response of Vincent Thomas Bridge using a detailed three-dimensional finite element model of the bridge and a state-of-the-art stochastic wind excitation model, which provides a validated framework to study the effects of realistic damage scenarios in long-span cable-supported bridges on their identified modal parameters; (3) damage identification of a full-scale seven-story reinforced concrete building slice tested on the UCSD-NEES shake table using a sensitivity-based finite element model updating strategy based on the modal parameters identified from ambient vibration data; (4) development and implementation of a state-of-the-art long-term continuous monitoring system on the Voigt Bridge Testbed, which will serve as a live laboratory for structural health monitoring technologies; (5) development of an automated system identification procedure for extracting modal parameters of the Voigt Bridge as a function of time; and (6) investigation of the environmental effects on the identified modal parameters of the Voigt Bridge and objective criterion for damage detection under varying environmental conditions. The research work presented and the results obtained in this dissertation contribute significantly to the development of robust and reliable vibration-based structural health monitoring systems for large and complex real-world structures.



Dynamic Methods For Damage Detection In Structures


Dynamic Methods For Damage Detection In Structures
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Author : Antonino Morassi
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-11

Dynamic Methods For Damage Detection In Structures written by Antonino Morassi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-11 with Science categories.


Non destructive testing aimed at monitoring, structural identification and di- nostics is of strategic importance in many branches of civil and mechanical - gineering. This type of tests is widely practiced and directly affects topical issues regarding the design of new buildings and the repair and monitoring of existing ones. The load bearing capacity of a structure can now be evaluated using well established mechanical modelling methods aided by computing facilities of great capability. However, to ensure reliable results, models must be calibrated with - curate information on the characteristics of materials and structural components. To this end, non destructive techniques are a useful tool from several points of view. Particularly, by measuring structural response, they provide guidance on the validation of structural descriptions or of the mathematical models of material behaviour. Diagnostic engineering is a crucial area for the application of non destructive testing methods. Repeated tests over time can indicate the emergence of p- sible damage occurring during the structure's lifetime and provide quantitative estimates of the level of residual safety.



Uncertainty Quantification In Laminated Composites


Uncertainty Quantification In Laminated Composites
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Author : Sudip Dey
language : en
Publisher: CRC Press
Release Date : 2018-09-19

Uncertainty Quantification In Laminated Composites written by Sudip Dey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-19 with Mathematics categories.


Over the last few decades, uncertainty quantification in composite materials and structures has gained a lot of attention from the research community as a result of industrial requirements. This book presents computationally efficient uncertainty quantification schemes following meta-model-based approaches for stochasticity in material and geometric parameters of laminated composite structures. Several metamodels have been studied and comparative results have been presented for different static and dynamic responses. Results for sensitivity analyses are provided for a comprehensive coverage of the relative importance of different material and geometric parameters in the global structural responses.



An Overview Of Vibration Based Damage Detection Methods


An Overview Of Vibration Based Damage Detection Methods
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Author : Payal Verma (MWSU engineering technology managment student)
language : en
Publisher:
Release Date : 2018

An Overview Of Vibration Based Damage Detection Methods written by Payal Verma (MWSU engineering technology managment student) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Nondestructive testing categories.




Experimental Vibration Analysis For Civil Structures


Experimental Vibration Analysis For Civil Structures
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Author : Joel P. Conte
language : en
Publisher: Springer
Release Date : 2017-10-11

Experimental Vibration Analysis For Civil Structures written by Joel P. Conte and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-11 with Technology & Engineering categories.


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.



Data Mining In Structural Dynamic Analysis


Data Mining In Structural Dynamic Analysis
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Author : Yun Lai Zhou
language : en
Publisher: Springer Nature
Release Date : 2019-11-22

Data Mining In Structural Dynamic Analysis written by Yun Lai Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-22 with Science categories.


This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.



System And Damage Identification Of Civil Structures


System And Damage Identification Of Civil Structures
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Author : Babak Moaveni
language : en
Publisher:
Release Date : 2007

System And Damage Identification Of Civil Structures written by Babak Moaveni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.


In recent years, structural health monitoring has received increasing attention in the civil engineering research community with the objective to identify structural damage at the earliest possible stage and evaluate the remaining useful life (damage prognosis) of structures. Vibration-based, non-destructive damage identification is based on changes in dynamic characteristics (e.g., modal parameters) of a structure for identifying structural damage. Experimental modal analysis (EMA) has been used as a technology for identifying modal parameters of a structure based on its measured vibration data. It should be emphasized that the success of damage identification based on EMA depends strongly on the accuracy and completeness of the identified structural dynamic properties. The objective of the research work presented in this thesis is to develop new, and improve/extend existing system identification and damage identification methods for vibration based structural health monitoring. In the first part of the thesis, a new system identification method is developed to identify modal parameters of linear dynamic systems subjected to measured (known) arbitrary dynamic loading from known initial conditions. In addition, a comparative study is performed to investigate the performance of several state-of-the-art input-output and output-only system identification methods when applied to actual large structural components and systems. In the second part of the thesis, a finite element model updating strategy, a sophisticated damage identification method, is formulated and computer implemented. This method is then successfully applied for damage identification of two large test structures, namely a full-scale sub-component composite beam and a full-scale seven-story R/C building slice, at various damage levels. The final part of the thesis investigates, based on numerical response simulation of the seven-story building slice, the effects of the variability/uncertainty of several input factors on the variability/uncertainty of system identification and damage identification results. The results of this investigation demonstrate that the level of confidence in the damage identification results obtained through FE model updating is a function of not only the level of uncertainty in the identified modal parameters, but also choices made in the design of experiments (e.g., spatial density of measurements) and modeling errors (e.g., mesh size).