@inproceedings {pub3326,
	title = {Parametric Optimization for CAE Models of Carbon-Fiber Reinforced Plastic (CFRP) Composite Material },
	author = {Sheng Dong AND Lars Gr{\"a}ning AND Allen Sheldon},
	year = {2017},
	month = {June},
	abstract = {Carbon-fiber-reinforced plastic (CFRP) composite material, due to its high strength but light weight, has been increasingly employed in aerospace, automotive, and civil engineering. However, the non-isotropic properties across the layers of composites, due to different fiber orientations, create challenges in modeling the CFRP parts both all by themselves and when integrated into entire mechanical systems. The basic properties in and out of fiber directions, such as the elastic moduli, strains at failure, and plastic moduli among others are determined by simple coupon tests in tension, compression, and shear. Furthermore, CFRP parts with different geometries are crushed both quasi-statically and dynamically. It is often observed that the employment of property values obtained from coupon tests in crush models of CFRP parts creates discrepancies between the crush models and experimental data. This is due to the fact that during crush conditions, material properties of CFRP parts change significantly, unlike their metal counterparts, due to factors such as the bonding structure of the layers, the temperature-related softening, and the residual stiffness of the fibers after failure among others. In CAE models of CFRP composites it is necessary and even critical to correctly calibrate material properties to accurately correlate the crush data and simulation. Such tuning parameters include the ones in material cards to account for the residual stiffness after failure, static and dynamic friction coefficients between the CFRP parts and the testing fixtures, as well as the criteria parameters for element deletion. This paper presents a systematic approach to identify optimal material model parameter based on a methodology cooperating CAE models and numerical optimization. An adaptive meta-model based global optimization strategy with the objective to match the force-time characteristics of multiple crush experiments simultaneously has been established to calibrate the CFRP model parameter. The resulting composite crush simulations show a good quantitative as well as qualitative agreement between simulation and experiment at a level that can hardly be achieved with engineering best practice solely. },
	publisher = {NAFEMS},
	booktitle = {NAFEMS World Congress 2017}
}