A multi-scale modeling and identification tool for multi-objective design optimization of woven fabrics

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Woven fabrics are often defined as an interlaced assembly of weft and warp yarns commingled of fiber and matrix materials. The ease of formability from an original two-dimensional planar shape to complex three-dimensional shapes, along with the combination of light weight and high strength and toughness, has made woven fabric materials of interest in a number of industries including aerospace, sports, and automotive. It is widely understood that an optimal and robust design and material selection of woven fabrics is not possible without the prediction of the mechanical behavior of these materials using appropriate models. In turn, to add to the reliability of a fabric model, the following should be taken into account. First, it is essential to account for potential material defects (often referred to as uncertainties) that cause apparent non-repeatable responses. Second, during forming processes, combined loading conditions are normally encountered (multi-objectivity) and the fabric model should be able to represent the material behavior in such conditions. The development and integration of a multi-objective fabric model under uncertainties is still an ongoing research and is the focus of this work.