A general linear method to evaluate the hardening behaviour of metals at large strain with full‐field measurements

Rossi, Marco; Lattanzi, Attilio; Barlat, Frédéric

doi:10.1111/str.12265

Cited by 37 publications

(18 citation statements)

References 43 publications

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“…Designing tests to exhibit simultaneous kinematic and thermal heterogeneities in order to enrich the experimental database is certainly a promising route. Finally, the problem of the assessment of quality of the constitutive model is the large gaping hole in the current state of the art, as also nicely pointed out in Roux and Hild [76] . Novel non‐parametric approaches are emerging, [140‐143] piecewise‐defined models have been explored [60] but in spite of these promising efforts, there is a need for ways of either discriminating between models or formulating models based on MT2.0 methodologies. This is still an open problem.…”

Section: Discussionmentioning

confidence: 99%

“…The second type concerns applications involving more sophisticated constitutive equations. Anisotropic elasticity for composite materials [45][46][47] and wood, [48] elasticity or hyperlasticity of elastomers [49,50] and biological materials, [51][52][53][54] elastoplasticity of plain metals [55][56][57][58][59][60][61] or welds, [62] are typical examples. The use of the VFM to characterize some materials which are less widely used in mechanical engineering, such as paperboard [63] or polymeric foams, [64] has also been reported in recent papers.…”

Section: The Vfmmentioning

confidence: 99%

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Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Pierron

Grédiac

2020

Strain

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Full‐field optical measurements like digital image correlation or the grid method have brought a paradigm shift in the experimental mechanics community. While inverse identification techniques like finite element model updating or the virtual fields method have been the object of significant developments, current test methods, inherited from the age of strain gauges or linear variable displacement transducers, are generally not well adapted to the rich information provided by these new measurement tools. This paper provides a review of the research dealing with the design and optimization of heterogeneous mechanical tests for the identification of material parameters from full‐field measurements, christened here Material Testing 2.0 (MT2.0).

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Section: Discussionmentioning

confidence: 99%

Section: The Vfmmentioning

confidence: 99%

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Pierron

Grédiac

2020

Strain

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“…As for the latter-with the full-field experimental techniques available, associated identification methods have also developed. Among them, the finite element model updating method (FEMU) [13,14], constitutive equation gap method (CEGM) [15], virtual fields method (VFM) [16,17], equilibrium gap method (EGM) [18] and others, e.g., [19,20], are well established. A complete overview of the methods can be found in Avril et al [21].…”

Section: Introductionmentioning

confidence: 99%

Calibration of Advanced Yield Criteria Using Uniaxial and Heterogeneous Tensile Test Data

Maček

Starman

Mole

et al. 2020

Metals

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Conventionally, plastic anisotropy is calibrated by using standard uniaxial tensile and biaxial test results. Alternatively, heterogeneous strain field specimens in combination with full-field measurements can be used for this purpose. As reported by the literature, such an approach reduces the number of required tests enormously, but it is challenging to obtain reliable results. This paper presents an alternative methodology, which represents a compromise between the conventional and heterogeneous strain field calibration technique. The idea of the method is to use simple tests, which can be conducted on the uniaxial testing machine, and to avoid the use of advanced measuring equipment. The procedure is accomplished by conducting standard tensile tests, which are simple and reliable, and by a novel heterogeneous strain field tensile test, to calibrate the biaxial stress state. Moreover, only two of the parameters required for full characterisation need to be inversely identified from the test response; the other parameters are directly determined from the uniaxial tensile test results. This way, a dimension of optimization space is reduced substantially, which increases the robustness and effectiveness of the optimization algorithm.

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“…Many researchers have used curve fitting technique for determining the material parameters or coefficients of the constitutive model for the estimation of tensile properties of metallic materials. [ 11–14 ] The expression for curve fitting depends on the material's deformation characteristics at a given temperature and strain rate. The material parameter and the coefficient of the best fit for a given constitutive model is determined by curve fitting with the experimental results.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Notch Effect Based on Finite Element Analysis and Digital Image Correlation Technique

Kumar

Chaitanya

Goyal

et al. 2020

steel research int.

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Triaxial state of stress experienced by structural components due to complex geometry, discontinuities, or type of loading can be studied by tensile testing of notched specimens. Herein, assessment of tensile deformation of 316LN austenitic stainless under the uniaxial and triaxial stresses is presented based on finite element (FE) analysis and digital image correlation (DIC). To study their effects, notches of different root radii are incorporated in flat smooth specimens. The strength of the material increases in the presence of notch. Among the various constitutive expressions, the Swift equation provides a better representation of the tensile response for the smooth specimen. The analysis is further extended by incorporating Swift equation parameters as the deformation model in the FE analysis for notched specimens. The tensile response of the notched specimens is predicted well using the FE analysis. The in‐house algorithm is developed for DIC and used to estimate the strain in smooth and notched specimens by speckle‐pattern image analysis. The total displacement of smooth and notched specimens obtained from the FE analysis and DIC technique is comparable to the experimental results. Both the techniques complemented each other in understanding the deformation behavior of the steel.

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A general linear method to evaluate the hardening behaviour of metals at large strain with full‐field measurements

Cited by 37 publications

References 43 publications

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements

Calibration of Advanced Yield Criteria Using Uniaxial and Heterogeneous Tensile Test Data

Assessment of Notch Effect Based on Finite Element Analysis and Digital Image Correlation Technique

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