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Study of Local and Transient Buckling in Glass fiber Reinforced Composite Using Fiber Bragg Grating

机译:纤维布拉格光栅玻璃纤维增​​强复合材料局部和瞬态屈曲的研究

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Many models encountered in computer science remain intractable because of their tremendous complexity. Among them, the numerical modeling of manufacturing processes involving several characteristic times is a challenging issue. Classical incremental methods often fail for solving efficiently such transient models. In that sense model reduction based simulation appears to be a very promising alternative. Multidimensional parametric models can be solved within the context of the Proper Generalized Decomposition (PGD). It opens new horizons regarding time parallelization. Indeed, by no more considering the initial condition of a transient problem as a static input data but as an extra- coordinate similarly to space and time, we demonstrate that it is possible to parallelize efficiently the computation and even reach real-time in some cases.
机译:计算机科学中遇到的许多模型仍然是棘手的,因为他们的巨大复杂性。其中,涉及若干特征时间的制造过程的数值建模是一个具有挑战性的问题。经典增量方法经常失败,可以有效解决这种瞬态模型。在这种感知模型中,基于缩减的仿真似乎是一个非常有前途的替代方案。可以在适当的广义分解(PGD)的上下文中解决多维参数模型。它打开了关于时间并行化的新视野。实际上,通过考虑瞬态问题的初始条件作为静态输入数据,而是与空间和时间同样地坐标,我们证明可以有效地并行化计算甚至在某些情况下实时达到实时。

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