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New Approaches for Progressive Damage Analysis of Fiber Reinforced Composites and Fiber Metal Laminates

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Current Trends and Open Problems in Computational Mechanics

Abstract

In this contribution, novel modeling approaches for progressive damage analyses of fiber reinforced polymer composites (FRP) and hybrid fiber metal laminates (FML) under static and cyclic loading conditions are presented. The finite element-based models are implemented as user-defined material subroutines (UMAT) in the commercial software ABAQUS/Implicit. First, the respective functionalities and the special features of the FRP and FML damage models are explained. Subsequently, the model predictions are compared to first-hand experimental results, demonstrating their predictive capabilities. In this context, special attention is paid to bolted-joint applications, representing a challenging use-case due to complex 3D-stress states. The comparisons of numerical and experimental results demonstrate the predictive capabilities of the proposed modeling approaches for designing complex load-bearing FRP and FML components.

Prof. Raimund Rolfes: “I have been knowing Peter Wriggers for more than 40 years. He was about to finish his Ph.D. at IBNM of LUH, when I joined the institute as a young student assistant. Later he changed to TU Darmstadt and I spent a long time at DLR. We met again after having returned to LUH and have been cooperating since then. I always admired Peter Wriggers’ very quick comprehension as well as the width and depth of his tremendous scientific work in computational mechanics.”

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Correspondence to Raimund Rolfes .

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Rolfes, R., Gerendt, C., Brod, M. (2022). New Approaches for Progressive Damage Analysis of Fiber Reinforced Composites and Fiber Metal Laminates. In: Aldakheel, F., Hudobivnik, B., Soleimani, M., Wessels, H., Weißenfels, C., Marino, M. (eds) Current Trends and Open Problems in Computational Mechanics. Springer, Cham. https://doi.org/10.1007/978-3-030-87312-7_44

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  • DOI: https://doi.org/10.1007/978-3-030-87312-7_44

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