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Procedure for Material Failure Characterization through GISSMO
Technical Paper
2019-26-0284
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Vehicle crashworthiness is an important aspect of vehicle development. Vehicle structural performance plays a critical role during crash for controlling the occupant injuries. During a crash event, vehicle energy management governs the structural performance and passenger compartment integrity. However, these parameters are dependent on material properties such as yield/ultimate tensile strength, work hardening effects, strain rate dependency, material elongations and material fracture strains. Appropriate representation of these material properties in CAE (Computer Aided Engineering) environment is very critical for reliable prediction of vehicle structural performance during development phase. Among all material properties, material fracture strain is the most complex one and needs detailed material characterization approach for failure definitions.
Conventional approach for material failure prediction is based on failure strain obtained through uniaxial tensile test as per ASTM E8 standard. This approach however limits ability to predict failure under dynamic loading conditions wherein material experiences variable state of stress (non-proportional loading) like combination of tensile, shear and compressive loading in considerably shorter period of time. This limitation of conventional failure prediction approach is effectively addressed through GISSMO, which inherently accommodates effect of variable state of stress continuously during dynamic loading conditions; making it suitable for crash simulations.
This work includes GISSMO material model development process; which involves coupon testing under different types of loading, corresponding CAE analysis, development of failure curve, element size and strain rate regularization. This work is explained through example of dual phase steel DP590.
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Pawar, P., Chalipat, S., and Gadekar, G., "Procedure for Material Failure Characterization through GISSMO," SAE Technical Paper 2019-26-0284, 2019, https://doi.org/10.4271/2019-26-0284.Data Sets - Support Documents
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References
- Effelsberg , J. , Haufe , A. , Feucht , M. , Neukamm , F. et al. On Parameter Identification for the GISSMO Damage Model 12th International LS-DYNA Users Conference
- Andrade , F.X.C. , Feucht , M. , Haufe , A. , and Neukamm , F. An Incremental Stress State Dependent Damage Model for Failure prediction IUTAM Paris 2015
- Andrade , F. , Feucht , M. , and Haufe , A. On the Prediction of Material Failure in LS-DYNA: A Comparison between GISSMO and DIEM 13th International LS-DYNA Users Conference
- Li , Y. , Luo , M. , Gerlach , J. , and Wierzbicki , T. Prediction of Shear Induced Fracture in Sheet Metal Forming Journal of Material Processing Technology 210 2010
- Andrade , F. , Feucht , M. , and Haufe , A. On the Prediction of Material Failure in LS-DYNA: A Comparison between GISSMO and DIEM 13th International LS-DYNA Users Conference 2014
- Bao , Y. and Wierzbicki , T. On Fracture Locus in the Equivalent Strain and Stress Triaxiality Space International Journal of Mechanical Sciences 2004
- Barsoum , I. and Faleskog , J. Rupture Mechanisms in Combined Tension and Shear-Experiments International Journal of Solids and Structures 2007