Abstract
The damage of materials is the progressive or unexpected deterioration of mechanical strength because of loadings, thermal or chemical effects. The micromechanical damage process of ductile materials is generally studied by the continuum damage mechanics (CDM). One of the most well-known damage models is the Lemaitre’s ductile damage criterion. This model only requires one material-dependent parameter to represent damage evolution. In this investigation first, a novel numerical approach is proposed to determine the Lemaitre’s ductile damage parameter. Then, a user-defined material subroutine founded on the Lemaitre’s ductile damage model is developed. Following, numerical results are achieved for a standard round tensile test specimen. Finally, to validate the suggested method, experimental tests are carried out and compared with the numerical results. The comparison reveals a good agreement and excellent correlation between the numerical and practical results. Hence, it is concluded that the offered numerical approach can accurately determine the Lemaitre’s ductile damage parameter as well as the damage behavior of ductile metals.
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Abbreviations
- \(\mathrm{A}\) :
-
Total cross section area of RVE
- \({\mathrm{A}}_{D}\) :
-
Damaged area of RVE
- \(D\) :
-
Damage variable
- \({D}_{1C}\) :
-
Critical damage parameter in tension
- \({e}_{u}\) :
-
Elongation
- \(E\) :
-
Young’s modulus
- \(\tilde{E }\) :
-
Effective elasticity modulus
- \(f\) :
-
Yield surface function
- \(\mathrm{G}\) :
-
Shear modulus
- \(\mathbf{I}\) :
-
Second-order identity tensor
- \(K\) :
-
Hardening coefficient
- \(\mathrm{K}\) :
-
Bulk modulus
- \(n\) :
-
Hardening power
- \(p\) :
-
Hydrostatic stress
- \(r\) :
-
Lemaitre’s ductile damage parameter
- \(\mathrm{R}\) :
-
Isotropic hardening function
- \(s\) :
-
Lemaitre’s damage power parameter
- \({\varvec{S}}\) :
-
Deviatoric stress tensor
- \(\nu\) :
-
Poisson’s ratio
- \(Y\) :
-
Damage strain energy release rate
- \({\varvec{\varepsilon}}\) :
-
Strain tensor
- \({{\varvec{\varepsilon}}}^{d}\) :
-
Deviatoric strain tensor
- \({{\varvec{\varepsilon}}}^{e}\) :
-
Elastic strain tensor
- \({\varepsilon }^{p}\) :
-
Plastic strain
- \({{\varvec{\varepsilon}}}^{p}\) :
-
Plastic strain tensor
- \({\varepsilon }^{v}\) :
-
Volumetric strain
- \({\varepsilon }_{eq}^{p}\) :
-
Equivalent plastic strain
- \({\varepsilon }_{pd}\) :
-
Threshold plastic strain
- \({\dot{{\varvec{\varepsilon}}}}^{p}\) :
-
Plastic strain rate tensor
- \(\dot{\gamma }\) :
-
Plastic consistency parameter
- \(\eta\) :
-
Stress triaxiality
- \(\rho\) :
-
Density
- \({\varvec{\sigma}}\) :
-
Stress tensor of virgin material
- \(\stackrel{\sim }{{\varvec{\sigma}}}\) :
-
Effective stress tensor
- \({\sigma }_{eq}\) :
-
Von Mises equivalent stress
- \({\sigma }_{f}\) :
-
Fracture stress
- \({\sigma }_{u}\) :
-
Ultimate stress
- \({\sigma }_{y}^{0}\) :
-
Initial yield stress
- \(\psi\) :
-
Potential dissipation function
- \({\psi }_{D}\) :
-
Damage component of potential dissipation function
- \({\psi }_{P}\) :
-
Plastic component of potential dissipation function
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Shamshiri, A.R., Haji Aboutalebi, F. & Poursina, M. A new numerical approach for determination of the Lemaitre’s ductile damage parameter in bulk metal forming processes. Arch Appl Mech 91, 4163–4177 (2021). https://doi.org/10.1007/s00419-021-01998-y
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DOI: https://doi.org/10.1007/s00419-021-01998-y