996 resultados para natural mode
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Mode of access: Internet.
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One of the most effective ways of controlling vibrations in plate or beam structures is by means of constrained viscoelastic damping treatments. Contrary to the unconstrained configuration, the design of constrained and integrated layer damping treatments is multifaceted because the thickness of the viscoelastic layer acts distinctly on the two main counterparts of the strain energy the volume of viscoelastic material and the shear strain field. In this work, a parametric study is performed exploring the effect that the design parameters, namely the thickness/length ratio, constraining layer thickness, material modulus, natural mode and boundary conditions have on these two counterparts and subsequently, on the treatment efficiency. This paper presents five parametric studies, namely, the thickness/length ratio, the constraining layer thickness, material properties, natural mode and boundary conditions. The results obtained evidence an interesting effect when dealing with very thin viscoelastic layers that contradicts the standard treatment efficiency vs. layer thickness relation; hence, the potential optimisation of constrained and integrated viscoelastic treatments through the use of properly designed thin multilayer configurations is justified. This work presents a dimensionless analysis and provides useful general guidelines for the efficient design of constrained and integrated damping treatments based on single or multi-layer configurations. (C) 2012 Elsevier Ltd. All rights reserved.
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Kokeellinen moodianalyysi on kokeellinen menetelmä, jolla voidaan selvittää rakenteille ominaista värähtelyä. Työssä oli kolme tavoitetta, jotka pyrittiin saavuttamaan. Ensimmäinen tavoite oli ohjeistuksen luominen rakenteiden ominaismuotojen visuaaliseksi tarkastelemiseksi Lappeenrannan teknillisellä yliopistolla käytettävissä olevilla laitteistoilla ja ohjelmilla. Ohjeistuksen perustana on ajatus siitä, että kokeellinen moodianalyysi saataisiin tehokkaampaan käyttöön koneensuunnittelun opetuksessa. Ohjeistus tehtiin pääasiassa kuvien ja kuvia tukevien selitysten avulla. Työn toisena tavoitteena oli verrata rakenteen ominaisvärähtelyä, kun se oli tuettu vapaasti ja kun se oli tuettu kiinteästi sen luonnolliseen ympäristöön. Taajuuksia verrattaessa huomattiin, että eri tavoin tuetut rakenteet käyttäytyvät eri tavalla, mikä on otettava huomioon, kun tutkitaan kriittisiä värähtelyjä. Ominaisvärähtelyjä voidaan selvittää myös matemaattisesti esimerkiksi äärellisten elementtien menetelmällä. Työn kolmantena tavoitteena oli verrata elementtimenetelmällä ja kokeellisesti saatuja ominaisvärähtelyn arvoja. Elementtimallia pyrittiin tarkentamaan eri parametrejä muuttamalla niin, että ominaistaajuuksien arvot vastaavat mahdollisimman hyvin toisiaan. Tavoite saavutettiin.
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Speech is a natural mode of communication for people and speech recognition is an intensive area of research due to its versatile applications. This paper presents a comparative study of various feature extraction methods based on wavelets for recognizing isolated spoken words. Isolated words from Malayalam, one of the four major Dravidian languages of southern India are chosen for recognition. This work includes two speech recognition methods. First one is a hybrid approach with Discrete Wavelet Transforms and Artificial Neural Networks and the second method uses a combination of Wavelet Packet Decomposition and Artificial Neural Networks. Features are extracted by using Discrete Wavelet Transforms (DWT) and Wavelet Packet Decomposition (WPD). Training, testing and pattern recognition are performed using Artificial Neural Networks (ANN). The proposed method is implemented for 50 speakers uttering 20 isolated words each. The experimental results obtained show the efficiency of these techniques in recognizing speech
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A metodologia tradicional de identificação de parâmetros na análise modal de estruturas é realizada a partir de sinais medidos de força de entrada e de movimento de resposta da estrutura em condições laboratoriais controladas. Entretanto, quando é necessária a obtenção dos parâmetros modais de estruturas de máquinas em operação, as condições para controlar e medir a excitação nestas situações impossibilita a realização da análise modal tradicional. Neste caso, o teste modal é realizado utilizando somente dados de resposta do sistema. A Análise Modal Operacional (AMO) é um método de extração modal em que nenhuma excitação artificial necessita ser aplicada ao sistema, utilizando-se a própria excitação operacional como entrada para medição da resposta do sistema. A técnica clássica de Análise Modal Operacional NExT considera, para isso, que a excitação operacional do sistema seja um ruído branco. Esta técnica faz a consideração de que as funções de correlação obtidas de estruturas podem ser consideradas como funções de resposta ao impulso e então métodos tradicionais de identificação modal no domínio do tempo podem ser empregados. Entretanto, caso a excitação operacional contenha componentes harmônicos que se sobressaiam, estes podem ser confundidos como modos naturais do sistema. Neste trabalho é demonstrada que através da função densidade de probabilidade da banda estreita contendo o pico de um modo, é possível identifica-lo como natural ou operacional (proveniente da excitação operacional da estrutura). É apresentada também uma modificação no método de identificação modal Exponencial Complexa Mínimos Quadrados (LSCE), passando a considerar sinais harmônicos de freqüências conhecidas presentes na excitação operacional, em um ensaio utilizando a técnica NExT. Para validação desses métodos, utiliza-se um modelo teórico de parâmetros modais conhecidos analiticamente e como estudo de caso experimental, um sistema formado por uma viga bi-apoiada suportando um motor elétrico com desbalanceamento de massa.
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Acompaña atlas de 24 láminas dibujadas del natural.
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"Periódico científico del Museo N. de Historia Natural y de la Sociedad Mexicana de Historia Natural" (sér. [1]-2: Periódico científico de la Sociedad Mexicana de Historia Natural).
Managing Succession and Knowledge Transfer in Family Businesses: Lessons from a Comparative Research
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The most natural mode of family firm succession is the intergenerational ownership transfer. Statistical evidence, however, suggests that in most cases the succession process fails. There can be several reasons as a lot of personal, emotional and structural factors can act as an inhibitor to succession. The effectiveness of the implementation of any succession strategy is strongly dependent on the efficiency of intergenerational knowledge transfer, which is related to the parties’ absorptive capacity and willingness to learn. The paper is based on the experiences learned from the INSIST project. In the framework of the project different aspects of family business succession have been investigated in three participating countries (Hungary, Poland and the United Kingdom). The aim of the paper is to identify the patterns of management, succession, knowledge transfer and learning in family businesses. Issues will be examined in detail such as the succession strategies of companies investigated and the efforts family businesses and their managers make in order to harmonize family goals (such as emotional stability, harmony, and reputation) with business- related objectives (e.g. survival, growth or profitability).
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Intermediate-complexity general circulation models are a fundamental tool to investigate the role of internal and external variability within the general circulation of the atmosphere and ocean. The model used in this thesis is an intermediate complexity atmospheric general circulation model (SPEEDY) coupled to a state-of-the-art modelling framework for the ocean (NEMO). We assess to which extent the model allows a realistic simulation of the most prominent natural mode of variability at interannual time scales: El-Niño Southern Oscillation (ENSO). To a good approximation, the model represents the ENSO-induced Sea Surface Temperature (SST) pattern in the equatorial Pacific, despite a cold tongue-like bias. The model underestimates (overestimates) the typical ENSO spatial variability during the winter (summer) seasons. The mid-latitude response to ENSO reveals that the typical poleward stationary Rossby wave train is reasonably well represented. The spectral decomposition of ENSO features a spectrum that lacks periodicity at high frequencies and is overly periodic at interannual timescales. We then implemented an idealised transient mean state change in the SPEEDY model. A warmer climate is simulated by an alteration of the parametrized radiative fluxes that corresponds to doubled carbon dioxide absorptivity. Results indicate that the globally averaged surface air temperature increases of 0.76 K. Regionally, the induced signal on the SST field features a significant warming over the central-western Pacific and an El-Niño-like warming in the subtropics. In general, the model features a weakening of the tropical Walker circulation and a poleward expansion of the local Hadley cell. This response is also detected in a poleward rearrangement of the tropical convective rainfall pattern. The model setting that has been here implemented provides a valid theoretical support for future studies on climate sensitivity and forced modes of variability under mean state changes.
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Mode of access: Internet.
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Mode of access: Internet.
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This work deals with an improved plane frame formulation whose exact dynamic stiffness matrix (DSM) presents, uniquely, null determinant for the natural frequencies. In comparison with the classical DSM, the formulation herein presented has some major advantages: local mode shapes are preserved in the formulation so that, for any positive frequency, the DSM will never be ill-conditioned; in the absence of poles, it is possible to employ the secant method in order to have a more computationally efficient eigenvalue extraction procedure. Applying the procedure to the more general case of Timoshenko beams, we introduce a new technique, named ""power deflation"", that makes the secant method suitable for the transcendental nonlinear eigenvalue problems based on the improved DSM. In order to avoid overflow occurrences that can hinder the secant method iterations, limiting frequencies are formulated, with scaling also applied to the eigenvalue problem. Comparisons with results available in the literature demonstrate the strength of the proposed method. Computational efficiency is compared with solutions obtained both by FEM and by the Wittrick-Williams algorithm.
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Shoot tips of Ananas comosus `Imperial were rooted in vitro under two environments (artificial and natural light) and after two months the plantlets were transferred to commercial substrate (Plantmax (R)) in a greenhouse. Plant growth and leaf anatomy were evaluated at 0, 7, 15, 30 and 60-days during acclimatization. The in vitro rooting under natural light provides better agronomic and anatomical performances of Ananas comosus plants, with the benefit of saving electric energy for artificial lumination in vegetal tissue culture laboratories.
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Tailoring specified vibration modes is a requirement for designing piezoelectric devices aimed at dynamic-type applications. A technique for designing the shape of specified vibration modes is the topology optimization method (TOM) which finds an optimum material distribution inside a design domain to obtain a structure that vibrates according to specified eigenfrequencies and eigenmodes. Nevertheless, when the TOM is applied to dynamic problems, the well-known grayscale or intermediate material problem arises which can invalidate the post-processing of the optimal result. Thus, a more natural way for solving dynamic problems using TOM is to allow intermediate material values. This idea leads to the functionally graded material (FGM) concept. In fact, FGMs are materials whose properties and microstructure continuously change along a specific direction. Therefore, in this paper, an approach is presented for tailoring user-defined vibration modes, by applying the TOM and FGM concepts to design functionally graded piezoelectric transducers (FGPT) and non-piezoelectric structures (functionally graded structures-FGS) in order to achieve maximum and/or minimum vibration amplitudes at certain points of the structure, by simultaneously finding the topology and material gradation function. The optimization problem is solved by using sequential linear programming. Two-dimensional results are presented to illustrate the method.
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Inheritance of resistance to Puccinia psidii G. Winter in a eucalyptus interspecific hybrid progeny evaluated under conditions of natural infection Rust caused by the fungus Puccinia psidii is currently the most important disease of eucalyptus. It is widely disseminated in Brazil, and causes serious damage in nurseries and plantation areas. The identification of resistant germplasm along with knowledge of the genetic basis of resistance heredity are the first requirements for the success of breeding programs aiming to develop resistant varieties. Earlier studies carried out under controlled conditions suggested a monogenic control as well as the participation of at least two genes promoting resistance to rust. The goal of this study was to evaluate the resistance to P. psidii under field conditions in fourteen progenies from controlled crosses and self-crosses among four hybrid clones of Eucalyptus grandis Hill ex Maiden x Eucalyptus urophylla ST Blake that contrast for resistance to the fungus. Results indicated that resistance could be explained by one locus with main effects and at least three different alleles. However, loci with minor effects may influence the resistance, since variation on severity classes was observed. Differences in segregation of resistance between reciprocal crosses were not observed, indicating absence of cytoplasmic effects.