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Detecção de dano a partir da resposta dinâmica da estrutura: estudo analítico com aplicação a estruturas do tipo viga / Damage detection by structure\'s dynamic response: an analytical study with applications to beam type structuresOscar Javier Begambre Carrillo 24 March 2004 (has links)
O objetivo deste trabalho é estudar métodos dinâmicos de detecção de dano em vigas, em especial os métodos baseados na variação da flexibilidade medida dinamicamente. Os métodos revisados formam parte das técnicas de Detecção de Dano Não Destrutivas (DDND). Nas técnicas DDND o dano é localizado por comparação entre o estado sadio e o danificado da estrutura. Neste trabalho, o problema de vibração inverso é apresentado e a matriz de flexibilidade estática da estrutura é determinada a partir de seus parâmetros modais. Com ajuda de um Modelo de Elementos Finitos (MEF) são mostrados os diferentes padrões de variação da matriz de flexibilidade produzidos pela presença do dano. Baseando-se nestes padrões é possível identificar a posição do dano dentro da estrutura, como indicado pelos diversos exemplos apresentados. / The purpose of this work is to study dynamic methods for damage detection in beam structures. The attention is devoted to the methods based on dynamically measured flexibility. The reviewed methods are part of Nondestructive Damage Detection techniques (NDD). In the NDD techniques the damage is determined through the comparison between the undamaged and damaged state of the structure. In this work the inverse vibration problem is presented and the structure\'s flexibility matrix calculated from his modal parameters. The Finite Elements Model (FEM) is employed to show that a clear pattern exist for the changes in the flexibility matrix produced due to the presence of damage. The flexibility matrix changes is used to identify and locate damage as indicated by the several examples presented.
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Análise modal operacional: métodos de identificação baseados em transmissibilidade / Operational modal analysis: identification methods based on transmissibilityIván Darío Gómez Araújo 25 February 2015 (has links)
O presente trabalho tem como objetivo desenvolver novas alternativas de identificação modal para estruturas sob excitações em condição de operação baseadas em funções de transmissibilidade. Recentes metodologias formuladas sobre conceitos de transmissibilidade têm surgido como alternativa para a identificação de parâmetros modais de estruturas. A identificação nestas metodologias é independente do espectro da excitação, sendo uma vantagem importante com respeito a metodologias anteriores no domínio da frequência que supõem a excitação como ruído branco. Dessa forma, aproveitando os diferentes trabalhos dirigidos a avaliar parâmetros modais com uso da transmissibilidade, são propostas três novas alternativas. A primeira delas propõe a decomposição de valores singulares sobre matrizes de funções de transmissibilidade escalar com densidade espectral para estimar frequências naturais e modos de vibração. A segunda alternativa propõe o conceito de funções de transmissibilidade multivariável com diferente referência para a identificação modal. E a terceira introduz uma melhora na primeira alternativa incluindo a possibilidade da estimação de taxas de amortecimento. Uma ferramenta computacional para a análise modal é desenvolvida como apoio para as simulações numéricas de verificação das metodologias de identificação modal propostas. Diferentes exemplos numéricos com uma viga submetida a excitações de ruído colorido mostram que os métodos propostos são capazes de identificar parâmetros modais sem a introdução das frequências adicionais devido às excitações de ruído colorida utilizadas. Além disso, os dados de um teste de vibrações sobre uma ponte em operação foram utilizados para verificar os métodos. / This research aims to develop new alternatives of modal identification for structures under excitation in operation condition based on transmissibility functions. Latest methodologies based on transmissibility concepts have been arising as alternatives for modal parameter identification of structures. Modal parameter identification in this type methodology is input spectrum independent being an important advantage with respect previous frequency domain methods that assumes white noise excitation. Different alternatives of modal identification based on transmissibility functions are proposed in this work. The first of them proposes singular value decomposition on scalar transmissibility functions matrices with spectral density to estimate natural frequencies and vibration modes (PSDTM-SVD method). A second alternative proposes the concept of multivariable transmissibility functions with different transferring outputs for modal parameter identification. And the third alternative proposes an enhanced PSDTM-SVD method, which permits to identify modal damping. Computational tool for modal analysis is developed as a support for the numerical simulations of verification of modal identification methodologies proposed. Different numerical examples of a beam model subjected to colored noise excitations show that the proposed methods are capable of identifying modal parameters without the introduction of the additional frequencies due to the excitations used. Furthermore, data from an operational vibration bridge test were used to verify the methods.
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Dynamické vlastnosti výfukové soustavy a přenos hluku do kabiny osobního automobilu / Dynamic Characteristics of Exhaust System and Noise Transmition to the Car CocpitNovotný, Václav January 2010 (has links)
This thesis deals with the complex analysis of dynamic characteristics of the exhaust system and the transmission of noise from exhaust system to the vehicle. In the first part is performed modal analysis, which is compared to experimentally measured data. Modal analysis of the complete exhaust system is made with focusing on the influence of temperature of the exhaust system. There is also performed an analysis of noise transmission from exhaust system to the car cockpit.
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Tvorba a aplikace algoritmů pro odhad modálních parametrů v časové oblasti a studie jejich citlivosti na okrajové podmínky / Creation and Application of Algorithms for Estimating Modal Parameters in Time Domain and Sensitivity to the Boundary Condition StudyJakuš, Matúš January 2016 (has links)
Cieľom tejto diplomovej práce je predstavenie Experimentálnej modálnej analýzy a štúdium a použitie algoritmov pre výpočet modálnych parametrov z odmeraných vibrácií pri Experimentálnej modálnej analýze. Bodom záujmu sú predovšetkým algoritmy, pracujúce s odmeranými dátami v časovej oblasti. Diplomová práca sa zaoberá programovaním algoritmu ITD a jeho implementáciou pre Experimentálnu modálnu analýzu. Ďaľšou časťou práce je štúdium citlivosti algoritmu na okrajové podmienky meranej sústavy pri výpočte modálnych parametrov a štúdium možnosti využitia algoritmu pri Operačnej modálnej analýze.
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Predicting Location-Dependent Structural Dynamics Using Machine LearningZink, Markus January 2022 (has links)
Machining chatter is an undesirable phenomenon of material removal processes and hardly to control or avoid. Its occurrence and extent essentially depend onthe kinematic, which alters with the position of the Tool Centre Point, of the machine tool. Research as to chatter was done widely but rarely with respect to changing structural dynamics during manufacturing. This thesis applies intelligent methods to learn the underlying functions of modal parameters – natural frequency, damping ratio, and mode shape – and defines the dynamic properties of a system firstly at this extent. To do so, it embraces three steps: first, the elaboration of the necessary dynamic parameters, second, the acquisition of the data via a simulation,and third, the prediction of the modal parameters with two kinds of Machine Learning techniques: Gradient Boosting Machine and Multilayer Perceptron. In total, it investigates three types of kinematics: cross bed, gantry, and overhead gantry. It becomes apparent that Light Gradient Boosting Machine outperforms Multilayer Perceptron throughout all studies. It achieves a prediction error of at most 1.7 % for natural frequency and damping ratio for all kinematics. However, it cannot really control the prediction of the participation factor yet which might originate in the complexity of the data and the data size. As expected, the error rises with noisy data and less amount of measurement points but at a tenable extent for both natural frequency and damping ratio. / 'Bearbetningsvibrationer är ett oönskat fenomen i materialborttagningsprocesser och är svåra att kontrollera eller undvika. Dess förekomst och omfattning beror i huvudsak på kinematiken, som förändras med positionen för verktygets centrumpunkt på verktygsmaskinen. Det har gjorts mycket forskning om bearbetningsvibrationer, men sällan om förändrad strukturell dynamik under tillverkningen. I denna avhandling tillämpas intelligenta metoder för att lära sig de underliggande funktionerna hos modalparametrar – egenfrekvens, dämpningsgrad och modalform – och definierar systemets dynamiska egenskaper för första gången i denna omfattning. För att göra detta omfattar den tre steg: för det första utarbetandet av de nödvändiga dynamiska parametrarna, för det andra insamling av data via en simulering och för det tredje förutsägelse av modalparametrarna med hjälp av två typer av tekniker för maskininlärning: Gradient Boosting Machine och Multilayer Perceptron. Sammanlagt undersöks tre typer av kinematik: crossbed, gantry och overhead gantry. Det framgår tydligt att Light Gradient Boosting Machine överträffar Multilayer Perceptron i alla studier. Den uppnår ett prediktionsfel på högst 1,7 % för egenfrekvens och dämpningsförhållande för alla kinematiker. Den kan dock ännu inte riktigt kontrollera förutsägelsen av deltagarfaktorn, vilket kan bero på datans komplexitet och datastorlek. Som väntat ökar felet med bullrig data och färre mätpunkter, men i en acceptabel omfattning för både naturfrekvens och dämpningsförhållande.
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[en] PARAMETRIC IDENTIFICATION OF MECHANICAL SYSTEMS USING SUBSPACE ALGORITHMS / [pt] IDENTIFICAÇÃO PARAMÉTRICA DE SISTEMAS MECÂNICOS USANDO ALGORITMOS DE SUBESPAÇOGERMAIN CARLOS VENERO LOZANO 22 December 2003 (has links)
[pt] Identificação paramétrica de sistemas mecânicos é uma das
principais aplicações das técnicas de identificação de
sistemas na Engenharia Mecânica, especificamente para a
identificação de parâmetros modais de estruturas
flexíveis.
Um dos principais problemas na identificação é a presença
de ruido nas medições. Este trabalho apresenta uma
análise
na presença de ruído de alguns dos métodos no domínio do
tempo aplicáveis na identificação de parâmetros modais de
sistemas mecânicos lineares invariantes no tempo com
múltiplas entradas e múltiplas saídas (MIMO), usando como
base o modelo em espaço de estados tipicamente usado em
Dinâmica e Vibrações. Os algoritmos de subespaço
envolvidos
neste estudo destacam-se pela utilização da decomposição
em
valores singulares (SVD) dos dados, obtendo subespaços
ortogonais dos modos associados ao sistema e dos modos
associados ao ruído. Outros complicadores no processo de
identificação que serão explorados neste trabalho são:
flexibilidde e baixo amortecimento. Comparam-se as
técnicas
usando o modelo no espaço de estado da estrutura Mini-
mast
desenvolvida pela NASA Langley Research Center e
simulações
são feitas variando o nível de ruído nos dados, o
amortecimento e a flexibilidade da estrutura. O problema
de
identificação de parâmetros estruturais (matrizes de
massa,
rigidez e amortecimento) também é estudado, as
características e limitações dos algoritmos utilizados
são
analisados. Como exemplo de aplicação prática, um
experimento foi realizado para identificar os parâmetros
modais e estruturais de um rotor flexível e os resultados
são discutidos. / [en] Parametric identification of mechanical systems is one of
the main applications of the system identification
techniques in Mechanical Engineering, specifically for the
identification of modal parameters of flexible structures.
One of the main problems in the identification is the
presence of noise in the measurements. This work presents
an analysis in the presence of noise of some of the time
domain methods applicable in modal parameters
identification of linear time-invariant mechanical systems
with multiple inputs and multiple outputs (MIMO), using as
base the state-space model typically used in Dynamics and
Vibrations. The subspace algorithms involved in this
study are distinguished for the use of the singular values
decomposition (SVD) of the data, obtaining ortogonal
subspaces of the modes associates to the system and of the
modes associates to the noise. Other complicators in the
identification process that will be explored in this work
are: flexibility and low damping. The techniques are
compared using the state-space model of the Mini-mast
structure developed for NASA Langley Research Center and
simulations are made varying the level of noise in the
data, the damping and the flexibility of the structure. The
problem of identification of structural parameters (mass,
stiffness and damping matrices) also is studied, the
characteristics and limitations of the used algorithm is
analyzed. As example of practical application, an
experiment was made to identify the modal parameters of a
flexible rotor and the results are discussed.
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Adaptive Reliability Analysis of Reinforced Concrete Bridges Using Nondestructive TestingHuang, Qindan 2010 May 1900 (has links)
There has been increasing interest in evaluating the performance of existing
reinforced concrete (RC) bridges just after natural disasters or man-made events
especially when the defects are invisible, or in quantifying the improvement after
rehabilitations. In order to obtain an accurate assessment of the reliability of a RC
bridge, it is critical to incorporate information about its current structural properties,
which reflects the possible aging and deterioration. This dissertation proposes to
develop an adaptive reliability analysis of RC bridges incorporating the damage
detection information obtained from nondestructive testing (NDT).
In this study, seismic fragility is used to describe the reliability of a structure
withstanding future seismic demand. It is defined as the conditional probability that a
seismic demand quantity attains or exceeds a specified capacity level for given values of
earthquake intensity. The dissertation first develops a probabilistic capacity model for
RC columns and the capacity model can be used when the flexural stiffness decays nonuniformly
over a column height. Then, a general methodology to construct probabilistic seismic demand models for RC highway bridges with one single-column bent is
presented. Next, a combination of global and local NDT methods is proposed to identify
in-place structural properties. The global NDT uses the dynamic responses of a structure
to assess its global/equivalent structural properties and detect potential damage locations.
The local NDT uses local measurements to identify the local characteristics of the
structure. Measurement and modeling errors are considered in the application of the
NDT methods and the analysis of the NDT data. Then, the information obtained from
NDT is used in the probabilistic capacity and demand models to estimate the seismic
fragility of the bridge. As an illustration, the proposed probabilistic framework is
applied to a reinforced concrete bridge with a one-column bent. The result of the
illustration shows that the proposed framework can successfully provide the up-to-date
structural properties and accurate fragility estimates.
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Optimisation de la qualité vibro-acoustique des structures d'automobiles pour les basses fréquencesBourmich, Sophie 21 September 2012 (has links)
Les modèles d'éléments finis des automobiles donnent des grandes tailles de problèmes matriciels, ce qui demeure coûteux en ressources numériques pour une procédure d'optimisation. La multiplicité des phénomènes couplés du problème d'interaction de l'air de l'habitacle et de la superstructure rend plus sensible, à des variations mineures des paramètres, une optimisation directe du véhicule. Pour réduire les temps de calculs et l'espace mémoire liés à la simulation numérique en éléments finis, une méthode de double synthèse modale est appliquée sur la structure et le fluide. Ceci permet de diminuer le nombre de degrés de liberté de frontière. Egalement, un algorithme a été développé pour minimiser le nombre d'évaluations de fonction au cours des itérations d'optimisation. L'approche modale permet également de décomposer le problème d'optimisation de la réponse vibro-acoustique par des sous-problèmes couplés d'optimisation de critères modaux. Ces critères modaux explicitent les couplages fréquentiels par des termes d'amplification et les couplages spatiaux par des paramètres effectifs modaux. Ils favorisent ainsi le développement d'une stratégie d'optimisation robuste par le contrôle modal des effets prépondérants sur la qualité vibro-acoustique des véhicules. / Finite element models and the complexity of vehicle passenger compartments make it harder the optimization, mainly because of expensive computing resources and multiple coupled phenomena of fluid-structure problems. Strategies to improve time and memory performance consist in the use of reduction methods, and combined with efficient optimization techniques, vibro-acoustic solutions of better quality can be performed. The complexity of the system is taken into account thanks to a hierarchical optimization process. Both reduction method and gradient-based optimization algorithm are investigated. Based on modal synthesis, special criteria help to determine critical vibration propagation paths. A modified SQP (Sequential Quadratic Programming) algorithm is also developed in order to provide a faster convergence speed. Such process is to be applied on an academic example and hollow parts and panels of a whole passenger compartments. It allows to find relevant and non obvious solutions by minimizing noise and vibration transfer functions in a relatively wide range of frequencies.
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