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Measurement and estimation of material parameters of real garments

University of British Columbia

In cloth simulation, the choice of material parameters drive the motion of cloth. A good cloth simulation resembles the real world appearance as best as possible. Functional garments as a whole are inhomogeneous, though every distinct part is homogeneous at a small scale. Here, we measure all individual parts of a sports bra and characterize their material parameters. I build a custom designed cloth tester that is capable of measuring a variety of different cloth samples. In particular, common swathes of cloth, but also thicker and stiffer seams can be assessed. Force-displacement curves for both shear and stretch experiments are estimated. At the same time, visual deformation is tracked with a camera. I then simulate the same piece of cloth and minimize the difference between the simulated and the experimentally observed cloth sample to tune our material parameters. At the heart of our cloth simulation lies a non-linear and anisotropic material model. Results show that our device can handle all respective garment parts of a modern sports bra. From tests with synthetic data we learn that our optimization converges to all ground truth material parameters but the bending stiffness. For the measured sports bra, the estimated material parameters fall within the range of values of comparable materials. Again, the bending stiffness has minimal influence on the objective function and we can not resolve the true bending stiffness. In combination, the new measurement device and a cantilever test can estimate the material parameters shear, bulk and bending stiffness and the non-linear stress-strain curves. Thus, the individual garment pieces can be combined to simulate the whole garment.

Text

2021-08-31

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/75798

Computer Science

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/