Identification of Mechanical Material Behavior Through Inverse Modeling and DIC

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

doi:10.1007/s11340-007-9094-0

Cited by 144 publications

(106 citation statements)

References 19 publications

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“…-Identification of a strain rate dependance law over a range of strain rates with a single specimen making use of the presence of an heterogeneous strain rate map, as in [6]. -Explore the identification of more complex elastoplastic models (including cyclic loads) by using heterogeneous tests as in [52,53].…”

Section: Discussionmentioning

confidence: 99%

Full-Field Strain Measurement and Identification of Composites Moduli at High Strain Rate with the Virtual Fields Method

et al. 2010

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Abstract The present paper deals with full-field strain measurement on glass/epoxy composite tensile specimens submitted to high strain rate loading through a split Hopkinson pressure bar (SHPB) device and with the identification of their mechanical properties. First, the adopted methodology is presented: the device, including an Ultra-High Speed camera, and the experimental procedure to obtain relevant displacement maps are described. The different full-field results including displacement, strain and acceleration maps for two mechanical tests are then addressed. The last part of the paper deals with an original procedure to identify stiffnesses on this dynamic case only using the actual strain and acceleration maps (without the applied force) by using the Virtual Fields Method.

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Section: Discussionmentioning

confidence: 99%

Full-Field Strain Measurement and Identification of Composites Moduli at High Strain Rate with the Virtual Fields Method

et al. 2010

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“…Many applications of FEMU to plasticity have been reported in the literature. To give a brief overlook, Kajberg and Lindkvist (2004) applied FEMU to large strain plasticity, Lecompte et al (2007), Cooreman et al (2008) and Teaca et al (2010) used biaxial tests and DIC to identify the anisotropic behaviour of sheet metals, Güner et al (2012) used a FEMU approach to calibrate the Yld2000-2D parameters, showing the convenience of including full-field measurement in the cost function.…”

Section: Introductionmentioning

confidence: 99%

Application of the virtual fields method to large strain anisotropic plasticity

Rossi

Pierron

Štamborská

2016

International Journal of Solids and Structures

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The identification of the plastic behaviour of sheet metals at severe deformation is extremely important for many industrial application such as metal forming, crashworthiness, automotive, aerospace, piping, etc. In this paper, the virtual fields method (VFM) was employed to identify the constitutive parameters of anisotropic plasticity models. The method was applied using the finite deformation theory in order to account for large strains. First the theoretical principles to implement the method are described in details, especially how to derive the stress field from the strain field. Afterwards a numerical validation was performed using the Hill48 model. Several aspects were studied with the numerical model: the effect of the used virtual fields, the minimum number of specimens required to identify the parameters, the stress distribution obtained from the specimen and its influence in the identification performance. A brief analysis on the influence of noise is also conducted. Finally a series of experiments was conducted on notched specimens of stainless steel, cut along different anisotropic directions. The displacement and strain fields were obtained by digital image correlation. Afterwards, the VFM was used to identify the parameters of the Hill48 model and the Yld2000-2D model. In this case, the Hill48 model was not able to correctly describe the material behaviour, while a rather good agreement was found with the Yld2000-2D model. The potential and the limitation of the proposed method are finally discussed.

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“…The accuracy and precision of DIC in elasto-plasticity has been the subject of intensive research and development in recent years [20][21][22] and has been used in various applications for material characterisation, e.g. inverse methodologies [19,23], internal and external work comparisons [24] and virtual fields methodologies [25]. Regarding cast materials, DIC has e.g.…”

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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Identification of Mechanical Material Behavior Through Inverse Modeling and DIC

Cited by 144 publications

References 19 publications

Full-Field Strain Measurement and Identification of Composites Moduli at High Strain Rate with the Virtual Fields Method

Full-Field Strain Measurement and Identification of Composites Moduli at High Strain Rate with the Virtual Fields Method

Application of the virtual fields method to large strain anisotropic plasticity

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

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