Дисертації з теми "Damage identification and location"
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Bandara, Arachchillage Rupika Priyadarshani. "Damage identification and condition assessment of building structures using frequency response functions and neural networks." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/61196/4/Rupika_Bandara_Thesis.pdf.
Повний текст джерелаKelly, Brendan T. "A Newly Proposed Method for Detection, Location, and Identification of Damage in Prestressed Adjacent Box Beam Bridges." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1339520527.
Повний текст джерелаTappert, Peter M. "Damage identification using inductive learning." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05092009-040651/.
Повний текст джерелаAl-Tamimi, Adnan N. J. "Damage location in structures by monitoring vibration characteristics." Thesis, Aston University, 1985. http://publications.aston.ac.uk/11848/.
Повний текст джерелаYamamoto, Kyosuke. "Bridge Damage Identification Using Vehicle Response." 京都大学 (Kyoto University), 2012. http://hdl.handle.net/2433/159406.
Повний текст джерелаLiu, Xuefeng. "Vibration-based structural damage identification techniques." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445826.
Повний текст джерелаXing, Shutao. "Structural Identification and Damage Identification using Output-Only Vibration Measurements." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1067.
Повний текст джерелаMoaveni, Babak. "System and damage identification of civil structures." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3284170.
Повний текст джерелаTitle from first page of PDF file (viewed January 14, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
Wang, Dexin. "Structural damage identification in the frequency domain." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/284350.
Повний текст джерелаEl-Gamal, Mohamed A. "Fault location and parameter identification in analog circuits." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1172776742.
Повний текст джерелаMaouche, Mohamed. "Protection against re-identification attacks in location privacy." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI089.
Повний текст джерелаWith the wide propagation of handheld devices, more and more mobile sensors are being used by end users on a daily basis. Those sensors could be leveraged to gather useful mobility data for city planners, business analysts and researches. However, gathering and exploiting mobility data raises many privacy threats. Sensitive information such as one’s home or workplace, hobbies, religious beliefs, political or sexual preferences can be inferred from the gathered data. In the last decade, Location Privacy Protection Mechanisms (LPPMs) have been proposed to protect user data privacy. They alter data mobility to enforce formal guarantees (e.g., k-anonymity or differential privacy), hide sensitive information (e.g., erase points of interests) or act as countermeasures for particular attacks. In this thesis, we focus on the threat of re-identification which aims at re-linking an anonymous mobility trace to the know past mobility of its user. First, we propose re-identification attacks (AP-Attack and ILL-Attack) that find vulnerabilities and stress current state-of-the-art LPPMs to quantify their effectiveness. We also propose a new protection mechanism HMC that uses heat maps to guide the transformation of mobility data to change the behaviour of a user, in order to make her look similar to someone else rather than her past self which preserves her from re-identification attacks. This alteration of mobility trace is constrained with the control of the utility of the data to minimize the distortion in the quality of the analysis realized on this data
Liu, Ming. "Multidimensional damage state identification using phase space warping /." View online ; access limited to URI, 2005. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3188065.
Повний текст джерелаHo, Yuen Kim. "Structural damage identification with changes in vibration characteristics." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251910.
Повний текст джерелаChen, Hua-Peng. "Structural damage identification from measured vibration modal data." Thesis, University of Glasgow, 1998. http://theses.gla.ac.uk/3478/.
Повний текст джерелаTorres, Reynier Hernández. "Vibration-based damage identification using hybrid optimization algorithms." Instituto Nacional de Pesquisas Espaciais (INPE), 2017. http://urlib.net/sid.inpe.br/mtc-m21b/2017/08.18.16.12.
Повний текст джерелаO problema inverso da identificação de danos estruturais é abordado nesta tese. A solução inversa é obtida resolvendo um problema de otimização usando diferentes algoritmos híbridos. O modelo direto estrutural é resolvido pelo Método dos Elementos Finitos. Código FORTRAN desenvolvido pelo grupo de pesquisa do Laboratório Associado de Computação e Matemática Aplicada (LAC) do Instituto Nacional de Pesquisas Espaciais (INPE) foi aplicado em alguns problemas e, para outros experimentos numéricos, o software NASTRAN foi empregado. O histórico de tempo de aceleração, velocidade ou deslocamento pode ser usado como dados experimentais nesta metodologia. A função objetivo é formulada como a soma da diferença quadrática entre o deslocamento medido e os dados calculados pelo modelo direto. Diferentes metaheurísticas híbridas são testadas, usando uma abordagem em duas etapas. A primeira etapa realiza a exploração em todo o espaço de busca, e a segunda etapa realiza a intensificação a partir da melhor solução encontrada pela primeira etapa. Uma abordagem de otimização combina o Algoritmo de Colisão de Múltiplas Partículas (MPCA) com o método de busca direta Hooke-Jeeves (HJ). O MPCA é melhorado usando diferentes mecanismos derivados da Aprendizagem Baseada na Oposição, como são a Amostragem Baseada no Centro, e a Aprendizagem Baseada em Rotação. Outro otimizador aplicado é o novo q-gradiente, que também é hibridado com o método HJ. A metodologia é testada em estruturas com diferentes complexidades. Supõe-se que os danos são invariante no tempo para gerar as medidas experimentais sintéticas. Dados sem ruído e com diferentes níveis de ruído foram considerados em testes usando modelos implementados em FORTRAN. A maioria dos experimentos foi realizada usando um conjunto completo de dados, de todos os nós possíveis, e um dos experimentos foi feito usando um conjunto incompleto de dados, com um baixo nível de ruído. Para os experimentos utilizando o NASTRAN, foram considerados dados sintéticos sem ruído, e foi utilizado o conjunto completo de dados. Em geral, boas estimativas para localização e gravidade do dano foram alcançadas. Alguns falsos positivos apareceram nas estimativas, mas os danos presentes nos sistemas foram bem identificados.
Liu, Chang. "Drive-By Bridge Damage Identification Through Virtual Simulations." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31624.
Повний текст джерелаMadden, Ryan J. "Development of Robust Control Techniques towards Damage Identification." Cleveland State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1460986638.
Повний текст джерелаMurugesan, Kaviraj. "Damage detection on railway bridges using system identification." Thesis, Karlstads universitet, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-28595.
Повний текст джерелаLertpaitoonpan, Wirat. "Bridge damage detection using a system identification method." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/amt2446/WiratDissertation3-10-00.pdf.
Повний текст джерелаTitle from first page of PDF file. Document formatted into pages; contains xvi, 155 p.; also contains graphics. Vita. Includes bibliographical references (p. 152-154).
Vo, Peter Hoa. "Experimental study of the time domain damage identification." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280457.
Повний текст джерелаZhang, Qing. "Location and identification of unexploded ordnance using borehole magnetometry." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433782.
Повний текст джерелаCrumlin, Alex Justin. "Methods for short-circuit identification and location in automobiles." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36777.
Повний текст джерела"June 2006."
Includes bibliographical references (leaf 133).
As the number of electrical components in cars increases at a rapid rate, so too does the chance for electrical failure. A method for locating shorts to the chassis of a car is developed in this thesis. The developed technique is capable of detecting the approximate location of current being injected into the body of the car using several sensors placed strategically throughout the car. This technique can then be used in the manufacturing process and in the field where it can notify the operator of any short-circuit related problems in their car.
by Alex Justin Crumlin.
M.Eng.
Ge, Ma. "Structural damage detection and identification using system dynamic parameters." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2005. http://wwwlib.umi.com/cr/syr/main.
Повний текст джерелаHong, Soonyoung. "An effective data mining approach for structure damage identification." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1194903908.
Повний текст джерелаMao, Lei. "Frequency-based structural damage identification and dynamic system characterisation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7945.
Повний текст джерелаBisht, Saurabh Singh. "Vibration Measurement Based Damage Identification for Structural Health Monitoring." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77301.
Повний текст джерелаPh. D.
Al-Ghalib, A. A. "Damage and repair identification in reinforced concrete beams modelled with various damage scenarios using vibration data." Thesis, Nottingham Trent University, 2013. http://irep.ntu.ac.uk/id/eprint/274/.
Повний текст джерелаSalehian, Armaghan. "Identifying the location of a sudden damage in composite laminates using wavelet approach." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0711103-155908.
Повний текст джерелаRavichandran, Aravindh Srivatsav. "Identification and location of sunken logs using sidescan sonar technology." Master's thesis, Mississippi State : Mississippi State University, 2005. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.
Повний текст джерелаFILHO, HELIOS MALEBRANCHE OLBRISCH FRERES. "OPTIMAL SENSORS LOCATION FOR FILTERING AND IDENTIFICATION OF DISTRIBUTED SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1987. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8107@1.
Повний текст джерелаEste trabalho trata do problema não-linear de estimação simultânea de parâmetros e estado, em sistemas distribuídos, e ainda do problema de localização de sensores associado. A classe de modelos em que estamos interessados é caracterizada por operadores lineares, não- limitados, densamente definidos e dissipativos. Nossa abordagem aplica técnicas de filtragem linear a uma seqüência de linearizações em torno de trajetórias convenientemente escolhidas. A localização ótima de sensores é feita de modo a minimizar uma medida do erro da estimatição simultânea de parâmetros e estados. A contribuição original desta tese compreende o desenvolvimento de : (1) um algoritmo que realiza simultaneamente a identificação e a filtragem de uma classe de sistemas distribuídos operando em ambiente estocástico, e (2) um esquema eficiente de localização ótima de sensores para o problema acima mencionado. Alguns exemplos simulados são apresentados com o objetivo de ilustrar os resultados aqui desenvolvidos
This thesis deals with the nonlinear problem of simultaneous parameter and state estimation for distributed systems, including the associated optimal sensor location. The class of models under consideration is caracterrized by linear unbounded operators which are densely defined and dissipative. Our approach applies linear filtering techniquess to a sequence of linearizations at suitable trajectories. The optimal sensors location is carried out by minimizing a meassure of the state and parameter estimation error. The contribution of this thesis comprises: (1) an algorithm for simultaneous identification and filtering for a classs of distributed systems operting in a stochastic environment and (2) an efficient optimal sensors location scheme for the above mentioned problem. Some simulated exemples are presented to illustrate the proposed approach.
Hyung, Sang Su. "Nondestrutive damage detection by simultaneous identification of stiffness and damping." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2472.
Повний текст джерелаOyarzo, Vera Claudio Andr��s. "Damage identification of unreinforced masonry structures based on vibration response." Thesis, University of Auckland, 2012. http://hdl.handle.net/2292/19371.
Повний текст джерелаBakhary, Norhisham. "Structural condition monitoring and damage identification with artificial neural network." University of Western Australia. School of Civil and Resource Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0102.
Повний текст джерелаHe, Xianfei. "Vibration-based damage identification and health monitoring of civil structures." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3289036.
Повний текст джерелаTitle from first page of PDF file (viewed February 5, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.
Salim, Ali. "The identification of novel methylated proteins in DNA damage response." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86896.
Повний текст джерелаLa méthylation de protéines est une modification post-translationelle qui a lieu sur des résidus de lysine et d'arginine. Classiquement, la caractérisation de ces modifications sur les histones a formé le domaine de l'étude épigénétique en expliquant le règlement de l'expression des gènes. Ces modifications sont réglées par les enzymes qui catalysent spécifiquement le transfert d'un groupe méthylique à partir d'un donateur méthylique aux groupes aminés des résidus de lysine ou d'arginine. On s'est également avéré que la méthylation des protéines non-histone est cruciale dans plusieurs des processus cellulaires. Un meilleur arrangement du rôle que la méthylation de protéines joue dans le dommage d'ADN a élucidé la fonction de nombreux protéines impliquées dans une cascade de signalisation complexe se produisant aux cassures double-brin (CDB). L'étude de la méthylation de protéines nous a permise d'identifier des nouvelles protéines impliquées dans le dommage d'ADN et de clarifier la fonction des protéines existantes impliquées dans la réponse au dommage d'ADN. Cette thèse a comme objectif de développer des nouvelles méthodes pour identifier les protéines méthylées impliquées dans le dommage d'ADN et de vérifier la pertinence fonctionnelle des protéines nouvellement découvertes. Les domaines de Tudor traditionnellement ont été démontrés de lier les résidus méthylés. La protéine 53BP1 est une médiatrice de la réponse au dommage d'ADN et est recrutée aux CDBs par l'intermédiaire de son domaine tandem de Tudor en liant la lysine méthylée aux protéines de l'histone H4. Un écran protéomique des domaines de Tudor 53BP1 a prouvé qu'il pourrait lier le gène BRG1, une partie critique de la chromatine humaine transformant le complexe. Un des buts du travail présenté dans cette thèse est de vérifier la signification in vivo de cette interaction et de déterminer si la chromatine transformant le complexe j
Than, Soe Muang. "Vibration-based finite element model updating and structural damage identification." Thesis, University of Greenwich, 2013. http://gala.gre.ac.uk/11451/.
Повний текст джерелаZhao, Shengjie. "Natural frequency based damage identification of beams using piezoelectric materials." ASME 2015 International Mechanical Engineering Congress and Exposition, 2015. http://hdl.handle.net/1993/31652.
Повний текст джерелаOctober 2016
SANTOS, Adam Dreyton Ferreira dos. "Output-only methods for damage identification in structural health monitoring." Universidade Federal do Pará, 2017. http://repositorio.ufpa.br/jspui/handle/2011/9076.
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CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
No campo da monitorização de integridade estrutural (SHM), a identificação de dano baseada em vibração tem se tornado uma área de pesquisa crucial devido a sua potencial aplicação em estruturas de engenharia do mundo real. Assumindo que os sinais de vibração podem ser medidos pelo emprego de diferentes tipos de sistemas de monitorização, quando aplica-se o tratamento de dados adequado, as características sensíveis a dano podem ser extraídas e usadas para avaliar dano estrutural incipiente ou progressivo. Entretanto, as estruturas do mundo real estão sujeitas às mudanças regulares nas condições operacionais e ambientais (e.g., temperatura, umidade relativa, massa de tráfego e outros), as quais impõem dificuldades na identificação do dano estrutural uma vez que essas mudanças influenciam diferentes características de forma distinta. Nesta tese por agregação de artigos, a fim de superar essa limitação, novos métodos output-only são propostos para detectar e quantificar dano em estruturas sob influências operacionais e ambientais não medidas. Os métodos são baseados nos campos de aprendizagem de máquina e inteligência artificial e podem ser classificados como técnicas baseadas em kernel e clusterização. Quando os novos métodos são comparados àqueles do estado da arte, os resultados demonstraram que os primeiros possuem melhor performance de detecção de dano em termos de indicações de dano falso-positivas (variando entre 3,6Ű5,4%) e falso-negativas (variando entre 0Ű2,6%), sugerindo potencial aplicabilidade em soluções práticas de SHM. Se os métodos propostos são comparados entre si, aqueles baseados em clusterização, nomeadamente as abordagens de expectância-maximização global via algoritmos meméticos, provaram ser as melhores técnicas para aprender a condição estrutural normal, sem perda de informação ou sensibilidade aos parâmetros iniciais, e para detectar dano (erros totais iguais a 4,4%).
In the structural health monitoring (SHM) field, vibration-based damage identification has become a crucial research area due to its potential to be applied in real-world engineering structures. Assuming that the vibration signals can be measured by employing different types of monitoring systems, when one applies appropriate data treatment, damage-sensitive features can be extracted and used to assess early and progressive structural damage. However, real-world structures are subjected to regular changes in operational and environmental conditions (e.g., temperature, relative humidity, traffic loading and so on) which impose difficulties to identify structural damage as these changes influence different features in a distinguish manner. In this thesis by papers, to overcome this drawback, novel output-only methods are proposed for detecting and quantifying damage on structures under unmeasured operational and environmental influences. The methods are based on the machine learning and artificial intelligence fields and can be classified as kernel- and cluster-based techniques. When the novel methods are compared to the state-of-the-art ones, the results demonstrated that the former ones have better damage detection performance in terms of false-positive (ranging between 3.65.4%) and false-negative (ranging between 0-2.6%) indications of damage, suggesting their applicability for real-world SHM solutions. If the proposed methods are compared to each other, the cluster-based ones, namely the global expectation-maximization approaches based on memetic algorithms, proved to be the best techniques to learn the normal structural condition, without loss of information or sensitivity to the initial parameters, and to detect damage (total errors equal to 4.4%).
Emery, Trystan Ross. "Identification of damage in composite materials using thermoelastic stress analysis." Thesis, University of Southampton, 2007. https://eprints.soton.ac.uk/51292/.
Повний текст джерелаElbadawy, Mohamed Mohamed Zeinelabdin Mohamed. "Dynamic Strain Measurement Based Damage Identification for Structural Health Monitoring." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/86167.
Повний текст джерелаPh. D.
All modern societies depend heavily on civil infrastructure systems such as transportation systems, power generation and transmission systems, and data communication systems for their day-to-day activities and survival. It has become extremely important that these systems are constantly watched and maintained to ensure their functionality. All these infrastructure systems utilize structural systems of different forms such as buildings, bridges, airplanes, data communication towers, etc. that carry the service and environmental loads that are imposed on them. These structural systems deteriorate over time because of natural material degradation. They can also get damaged due to excessive load demands and unknown construction deficiencies. It is necessary that condition of these structural systems is known at all times to maintain their functionality and to avoid sudden breakdowns and associated ensuing problems. This condition assessment of structural systems, now commonly known as structural health monitoring, is commonly done by visual onsite inspections manually performed at pre-decided time intervals such as on monthly and yearly basis. The length of this inspection time interval usually depends on the relative importance of the structure towards the functionality of the larger infrastructure system. This manual inspection can be highly time and resource consuming, and often ineffective in catching structural defects that are inaccessible and those that occur in between the scheduled inspection times and dates. However, the development of new sensors, new instrumentation techniques, and large data transfer and processing methods now make it possible to do this structural health monitoring on a continuous basis. The primary objective of this study is to utilize the measured dynamic or time varying strains on structural components such as beams, columns and other structural members to detect the location and level of a damage in one or more structural elements before they become serious. This detection can be done on a continuous basis by analyzing the available strain response data. This approach is expected to be especially helpful in alerting the owner of a structure by identifying the iv occurrence of a damage, if any, immediately after an unanticipated occurrence of a natural event such as a strong earthquake or a damaging wind storm.
Snyder, Thomas D. "The effects of variability on damage identification with inductive learning." Thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/42160.
Повний текст джерелаMaster of Science
Magi, Fabrizio. "Vibration fatigue testing for identification of damage initiation in composites." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707751.
Повний текст джерелаLiu, Yu. "The development of a systematic experimental method for damage identification." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06112009-063906/.
Повний текст джерелаWang, Ruhua. "Advanced Deep Learning Methods for Vibration-based Structural Damage Identification." Thesis, Curtin University, 2021. http://hdl.handle.net/20.500.11937/86446.
Повний текст джерелаNguyen, Khac Duy. "Structural damage identification using experimental modal parameters via correlation approach." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/117289/2/Khac%20Duy%20Nguyen.pdf.
Повний текст джерелаLe, Ngoc Thach. "Structural damage identification using static and modal flexibility-based deflections." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/133428/2/Ngoc_Le_Thesis.pdf.
Повний текст джерелаMoradi, Pour Parviz. "An improved modal strain energy method for bridge damage identification." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/201001/1/Parviz_Moradi%20Pour_Thesis.pdf.
Повний текст джерелаPeng, Wu Tseng. "Evaluation of ceramic candle filters degradation and damage location using four-point bending tests." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1105.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains x, 85 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 81-82).
Aydogan, Mustafa Ozgur. "Damage Detection In Structures Using Vibration Measurements." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1058809/index.pdf.
Повний текст джерелаZhang, Muyu [Verfasser], Bernd [Akademischer Betreuer] Markert, and Rüdiger [Akademischer Betreuer] Schmidt. "Auto-correlation-function-based damage index for damage detection and system identification / Muyu Zhang ; Bernd Markert, Rüdiger Schmidt." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/1130327329/34.
Повний текст джерела