254 research outputs found
Dixit Dominus a M. Bolzon
Titre uniforme : Bolzon (17..-17..). Compositeur présumé. [Dixit Dominus. Voix (4), choeur à 4 voix, orchestre (Psaume 109). Fa majeur]Titre propre pris au départ. - La mention "a M. Bolzon" semblerait plutôt indiquer l'ancien possesseur. - Voix solistes : Sol 2 (2), Ut 4, Fa 4. - Choeur : Sol 2, Ut 3, Ut 4, Fa 4. - Vl 2, vla, vlc, cb, fl, ob 2, cl 2, fag 2, cor 2. - Ne figure pas dans le Catalogue thématique du grand motet françaisPrésentation musicale : [Partition]Incipit : Dixit Dominus Domino meo sede a dextris meisAppartient à l’ensemble documentaire : RISM1Appartient à l’ensemble documentaire : RISMMssPsaumes (musique
Formation of vortices on a tubercled wing, and their effects on drag
Abstract not availableMichael D.P. Bolzon, Richard M. Kelso, Maziar Arjomand
Tubercles and Their Applications
Abstract not availableMichael. D. Bolzon, Richard M. Kelso, and Maziar Arjomand
Numerical simulation of non-standard tensile tests of thin metal foils
The evolution of the fracture processes occurring in thin metal foils can be evidenced by tensile tests performed on samples of non-standard dimensions. The load versus displacement record of these experiments does not return directly the local stress-strain relationship and the fracture characteristics of the investigated material. In fact, the overall response of thin foils is sensitive to local imperfections, size and geometric effects. Simulation models of the performed tests can support the interpretation of the experimental results, provided that the most significant physical phenomena are captured. The present contribution focuses on the role of modelling details on the numerical output that can be obtained in this context
Macroscopic Response and Decohesion Models of Metal-Polymer Laminates
Metal-polymer laminates are used in several technological fields, with applications ranging from flexible electronics to food packaging and lightweight components for transportation sectors. Models of different complexity have been proposed to evaluate the overall performances of these materials. Models are also used to recover the adhesion properties of the plies, which are difficult to be characterized otherwise. The overall material responses resulting from different constitutive assumptions are examined in this paper
Experimental and computing strategies in advanced material characterization problems
The mechanical characterization of materials relies more and more often on sophisticated experimental
methods that permit to acquire a large amount of data and, contemporarily, to reduce the invasiveness of the tests. This
evolution accompanies the growing demand of non-destructive diagnostic tools that assess the safety level of components
in use in structures and infrastructures, for instance in the strategic energy sector. Advanced material systems and
properties that are not amenable to traditional techniques, for instance thin layered structures and their adhesion on the
relevant substrates, can be also characterized by means of combined experimental-numerical tools elaborating data
acquired by full-field measurement techniques. In this context, parameter identification procedures involve the repeated
simulation of the laboratory or in situ tests by sophisticated and usually expensive non-linear analyses while, in some
situation, reliable and accurate results would be required in real time. The effectiveness and the filtering capabilities of
reduced models based on decomposition and interpolation techniques can be profitably used to meet these conflicting
requirements. This communication intends to summarize some results recently achieved in this field by the author and
her co-workers. The aim is to foster further interaction between engineering and mathematical communities
Residual Stresses in a Cu-CFC Component for Thermonuclear Application: Numerical Prediction and Experimental Evaluation Using an Indentation Technique
The present work concerns the assessment of residual stresses (RS) in a component for thermonuclear applications, made by casting of copper on a carbon fibre-reinforced carbon composite and intended to be subjected to severe cycles of thermal, mechanical and neutron loads. The magnitude of RS left at the interface between the two materials in the production process, due
to thermal expansion mismatch, has to be carefully assessed. In the present investigation, the likely spatial distribution of the RS has been predicted first using numerical analysis and has been validated experimentally, then, on the basis of the results of indentation tests performed at the micron scale on the metal layer. It is shown that this simple and fast methodology can return reliable results in the present context
Indentation and imprint mapping for the identification of interface properties in film substrate systems
Indentation tests are frequently employed
at present for the identification of material parameters
at different scales. An innovative inverse analysis
technique, recently proposed by the Authors, combines
the traditional indentation test with the mapping of the
residual deformations (imprint), thus providing experimental
data apt to be used to identify material parameters
in film-substrate systems. In this paper, such
methodology is enhanced to permit the identification
of the fracture properties of the interface between a
coating and its substrate once the bulk material parameters
are known. In order to make the inverse problem
well posed, a further set of experimental data,
namely the horizontal displacement field measured on
the film external surface, is considered as available
experimental information. The sought material parameters
are recovered through recursive calculations of
the mechanical response of the film-substrate system,
performed by a finite strain numerical simulation. The
coating and a significant portion of the underlying bulk
material are incorporated in the finite element
models built up to this purpose, while delamination is
accounted for through cohesive elements. The inverse
analysis procedure rests on a batch, deterministic
approach and conventional optimization algorithms are
employed for the minimization of a suitably defined
discrepancy norm. Extensive numerical computations have been performed in order to test the performance of
the proposed methodology in terms of result accuracy
and computational effort
Material model calibration by indentation, imprint mapping and inverse analysis
The identification of elastic–plastic material parameters by means of indentation tests and their finite element simulation is considered in this paper with the innovative provision of measuring the imprint geometry besides the indentation curves. The inverse analysis is carried out by a deterministic approach using conventional algorithms. The proposed methodology is validated using ‘‘pseudo-experimental’’ (computer generated) data with and without noise. Also friction between the indenter tool and the indented specimen is dealt with by inverse analysis and investigated through a parametric study. Sensitivity with respect to the sought parameters is examined for measurable quantities, including residual displacements on the specimen surface
An inverse analysis procedure for the material parameter identification of elastic-plastic free-standing foils
A model calibration technique is considered for the estimation of material parameters in freestanding thin foils. The experimental apparatus is inspired by bursting strength testers for paper, textile
fabrics and polymer coatings such as geo-membranes. The procedure referred to herein consists of the following phases. A controlled fluid pressure is applied to the foil specimen placed on an horizontal plane with a suitably shaped hole. The induced out-of-plane displacements are measured by a laser profilometer.
The material parameters are then inferred from these measurements through inverse analysis, by simulation of the test and minimisation of a suitable norm which defines the discrepancy between measured and computed displacements. Potentialities and limitations of the proposed method are assessed on the basis of computer-generated “pseudo-experimental” data,
wheremodelling errors are ruled out. The identifiability of some industrially meaningful material parameters is established
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