Overview of Identification Methods of Mechanical Parameters Based on Full-field Measurements

By Stephane Avril, Marc Bonnet, A. Bretelle, Michel Grédiac, François Hild, P. Ienny, F. Latourte, D. Lemosse, Stéphane Pagano, E. Pagnacco and 1 more. 2008

851 citations recorded by the source corpus.

This article reviews recently developed methods for constitutive parameter identification based on kinematic full-field measurements, namely the finite element model updating method (FEMU), the constitutive equation gap method (CEGM), the virtual fields method (VFM), the equilibrium gap method (EGM) and the reciprocity gap method (RGM). Their formulation and underlying principles are presented and discussed. These identification techniques are then applied to full-field experimental data obtained on four different experiments, namely (i) a tensile test, (ii) the Brazilian test, (iii) a shear-flexural test, and (iv) a biaxial test. Test (iv) features a non-uniform damage field, and hence non-uniform equivalent elastic properties, while tests (i), (ii) and (iii) deal with the identification of uniform anisotropic elastic properties. Tests (ii), (iii) and (iv) involve non-uniform strain fields in the region of interest.

Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/a0081161dedb82b54f32950d85f90089397c5f8e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

In Mechanical Engineering

In Mechanics of Materials

Citations in the corpus

A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database (2019, background): “Compared to the problem setting in material parameter identification [45], the data-driven computing in (5) does not rely on any pre-assumed elasticity tensor to relate ε and σ .”
The Grid Method for In‐plane Displacement and Strain Measurement: A Review and Analysis (2016, methodology): “Identification methods suited to the case of full-field measurements have been presented in a review paper [226].”
On the analysis of notched concrete beams: From measurement with digital image correlation to identification with boundary element method of a cohesive model (2011, background): “Identification or inversion procedures are mainly applied by using finite-element-based procedures [20] coupled with full-field measurements [21].”
A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction (2014, background): “The control parameters can be of various kinds, e.g. an initial condition (Lundvall, Kozlov & Weinerfelt 2006), a physical parameter, or a material characteristic (Avril et al. 2008).”
Determining the stress-strain behaviour at large strains from high strain rate tensile and shear experiments (2011, background): “An overview of identification techniques based on full-field measurements has been recently published in [14].”
A Review of Dynamic Experimental Techniques and Mechanical Behaviour of Rock Materials (2014, methodology): “Furthermore, optical full-field measurements and/or numerical simulations are promising tools for identification of constitutive parameters (Avril et al. 2008), and attempts have been made to correct and determine stress–strain curves in compression (Zhao and Gary 1996), spalling (Pierron and…”
Identification of plastic constitutive parameters at large deformations from three dimensional displacement fields (2011, neutral): “[33].”
Shape, displacement and mechanical properties from isogeometric multiview stereocorrelation (2015, methodology): “Since the early developments of FEMU, other methods have been proposed, some of them explicitly requiring full-field measurements.(13,14) In all these approaches, the measurement and identification steps are performed independently and sequentially.”
Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, positive): “Young’s modulus, Poisson’s ratio, coefficient of thermal expansion, stress intensity factor, natural frequency, damping ratio, vibration mode, etc) can be readily determined [45–54], or identified by combining identification methods such as a virtual fields method or FEM updating [55, 56].”
Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks (2009, background): “This calls for specific exploitations in the field of constitutive law identification [21, 22].”
Analysis of image series through global digital image correlation (2012, result): “Consequently, an estimate of Poisson’s ratio is 0:3360:03 in very good agreement with strain gauge measurements.(37)”
Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements (2020, background): “Some comparisons between FEMU and VFM have been published in different papers, [72, 73, 51, 74, 75, 76].”