Elasto-plastic material parameter identification by inverse methods: Calculation of the sensitivity matrix

Cooreman, Steven; Lecompte, David; Sol, Hugo; Vantomme, John; Debruyne, Dimitri

doi:10.1016/j.ijsolstr.2006.11.024

Cited by 92 publications

(77 citation statements)

References 11 publications

(13 reference statements)

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“…The strain is typically measured using a contact extensometer or a non-contact laser extensometer. However, both these methods measure the average strain over a gauge area and are unable to display the complex variation in the strain field of the specimen [19]. Digital Image Correlation (DIC) is an optical non-contact deformation measurement method that offers the opportunity to study the full displacement and strain field for a specimen.…”

Section: Introductionmentioning

confidence: 99%

Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation

Olofsson¹,

Svensson²,

Lava³

et al. 2014

Materials & Design (1980-2015)

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Due to design and process-related factors, there are local variations in the microstructure and mechanical behaviour of cast components. This work establishes a Digital Image Correlation (DIC) based method for characterisation and investigation of the effects of such local variations on the behaviour of a high pressure, die cast (HPDC) aluminium alloy. Plastic behaviour is studied using gradient solidified samples and characterisation models for the parameters of the Hollomon equation are developed, based on microstructural refinement. Samples with controlled microstructural variations are produced and the observed DIC strain field is compared with Finite Element Method (FEM) simulation results. The results show that the DIC based method can be applied to characterise local mechanical behaviour with high accuracy. The microstructural variations are observed to cause a redistribution of strain during tensile loading. This redistribution of strain can be predicted in the FEM simulation by incorporating local mechanical behaviour using the developed characterization model. A homogeneous FEM simulation is unable to predict the observed behaviour. The results motivate the application of a previously proposed simulation strategy, which is able to predict and incorporate local variations in mechanical behaviour into FEM simulations already in the design process for cast components.

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Section: Introductionmentioning

confidence: 99%

Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation

Olofsson¹,

Svensson²,

Lava³

et al. 2014

Materials & Design (1980-2015)

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show abstract

“…As an optical-numerical full-field measurement method, digital image correlation (DIC) has proven to be an ideal tool for a wide range of applications, including the identification of the mechanical material behavior through inverse modeling (Cooreman et al 2007(Cooreman et al , 2008, structural health monitoring (Sas et al 2012) and the study of the deformation characteristics of a wide range of materials (Ivanov et al 2009;Van Paepegem et al 2009;Srikar et al 2016). During the testing of specimens B103-B109, the stereo-vision digital image correlation technique (3D-DIC) has been adopted to assess the displacements and deformations during the loading procedure.…”

Section: Stereo-vision Digital Image Correlation (3d-dic)mentioning

confidence: 99%

The Use of Advanced Optical Measurement Methods for the Mechanical Analysis of Shear Deficient Prestressed Concrete Members

Wilder

Roeck

2016

Int J Concr Struct Mater

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This paper investigates on the use of advanced optical measurement methods, i.e. 3D coordinate measurement machines (3D CMM) and stereo-vision digital image correlation (3D DIC), for the mechanical analysis of shear deficient prestressed concrete members. Firstly, the experimental program is elaborated. Secondly, the working principle, experimental setup and corresponding accuracy and precision of the considered optical measurement techniques are reported. A novel way to apply synthesised strain sensor patterns for DIC is introduced. Thirdly, the experimental results are reported and an analysis is made of the structural behaviour based on the gathered experimental data. Both techniques yielded useful and complete data in comparison to traditional mechanical measurement techniques and allowed for the assessment of the mechanical behaviour of the reported test specimens. The identified structural behaviour presented in this paper can be used to optimize design procedure for shear-critical structural concrete members.

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“…One of the most important works on this topic is [1]. A specific treatment was developed according to the choice of the material model [2,3], the type of the experimental tests [4,5], the FEM code for the numerical solution and the algorithm on which the optimization was based on [6,7]. A lot of these works are related with the solution of problems in which the dynamic component could be relevant.…”

Section: Introductionmentioning

confidence: 99%

Parameters identification in strain-rate and thermal sensitive visco-plastic material model for an alumina dispersion strengthened copper

Scapin

Peroni

2012

International Journal of Impact Engineering

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a b s t r a c tThe main objective of this paper is getting strain-hardening, thermal and strain-rate parameters for a material model in order to correctly reproduce the deformation process that occurs in high strain-rate scenario, in which the material reaches also high levels of plastic deformation and temperature. In particular, in this work the numerical inverse method is applied to extract material strength parameters from experimental data obtained via mechanical tests at different strain-rates (from quasi-static loading to high strain-rate) and temperatures (between 20 C and 1000 C) for an alumina dispersion strengthened copper material, which commercial name is GLIDCOP Ò . Thanks to its properties GLIDCOP Ò finds several applications in particle accelerator technologies, where problems of thermal management, combined with structural requirements, play a key role. Currently, it is used for the construction of structural and functional parts of the particle beam collimation system. Since the extreme condition in which the material could operate, it is fundamental to characterize it in a wide range both in strain-rate and temperature.The numerical inverse method used in this work is particularly useful to reproduce experimental results when the stressestrain fields in the specimen cannot be correctly described via analytical models. Furthermore this procedure is useful to take into account thermal phenomena generally affecting high strain-rate tests in which the heat conversion of plastic work produces an adiabatic overheating. So, the applicability of this method is particularly indicated in special fields, such as aerospace engineering, ballistic, crashworthiness studies or particle accelerator technologies.The attention is focused on evaluating the most suitable strategy of material model parameters optimization to obtain the best fit between experimental data and numerical results. In this regards, it is important to determine which material model coefficients can be considered as optimization variables and for each of them the most suitable range of variation.

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Elasto-plastic material parameter identification by inverse methods: Calculation of the sensitivity matrix

Cited by 92 publications

References 11 publications

Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation

Characterisation and investigation of local variations in mechanical behaviour in cast aluminium using gradient solidification, Digital Image Correlation and finite element simulation

The Use of Advanced Optical Measurement Methods for the Mechanical Analysis of Shear Deficient Prestressed Concrete Members

Parameters identification in strain-rate and thermal sensitive visco-plastic material model for an alumina dispersion strengthened copper

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