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首页> 外文会议>28th European Rotorcraft Forum >DESIGN ANALYSES OF HELICOPTER AEROELASTIC STABILITY WITH DISTRIBUTED COMPUTING AND GENERALIZED FLOQUET THEORY
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DESIGN ANALYSES OF HELICOPTER AEROELASTIC STABILITY WITH DISTRIBUTED COMPUTING AND GENERALIZED FLOQUET THEORY

机译：分布式计算和广义FLOOK理论的直升机气动弹性设计分析。

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Floquet (fast-Floquet) theory requires excessive run time and a full finite-state representation. Thus advanced modeling, such as free-wake and full nonlinear finite-element modeling, is precluded. Accordingly, an exploratory investigation of distributed computing and the generalized Floquet (fast-Floquet) theory has been conducted toward using advanced modeling in routine stability predictions. For illustration, finite-state modeling with hundreds of states has been used; results from the fast-Floquet theory serve as the exact values, and the model size is quantified by the model order or total number of states. In the generalized Floquet (fast-Floquet) theory, the order of the Floquet transition matrix is successively increased and the convergence characteristics of the eigenvalues or damping levels are studied, and then the converged values are compared with the exact, and also with the approximate from the widely used Sparse Time Domain technique. Furthermore, distributed computing is compared with serial computing on the basis of the run-time growth with the model order. It is also compared with massively parallel computing on the basis of the run-time growth with the model order as well as with the number of processors, and of speedup and efficiency. (Speedup compares the parallel run time with the predicted uniprocessor run time and efficiency guards against processor underutilization). The results demonstrate that the generalized Floquet (fast-Floquet) theory and distributed computing offer considerable promise in routine stability predictions with advanced modeling.
机译：浮球（快速浮球）理论需要大量的运行时间和完整的有限状态表示。因此排除了高级建模，例如自由苏醒和全非线性有限元建模。因此，已经进行了分布式计算和广义Floquet（fast-Floquet）理论的探索性研究，目的是在常规稳定性预测中使用高级建模。为了说明起见，使用了具有数百个状态的有限状态建模。快速浮球理论的结果用作精确值，并且模型大小通过模型顺序或状态总数进行量化。在广义Floquet（fast-Floquet）理论中，连续增加Floquet转换矩阵的阶数，研究特征值或阻尼水平的收敛特性，然后将收敛值与精确值和近似值进行比较。来自广泛使用的稀疏时域技术。此外，基于运行时间的增长以及模型顺序，将分布式计算与串行计算进行了比较。还将其与基于模型顺序以及处理器数量，运行速度和效率的运行时增长的大规模并行计算进行比较。 （Speedup将并行运行时间与预测的单处理器运行时间进行比较，并针对防止未充分利用处理器的效率进行了保护）。结果表明，广义Floquet（快速Floquet）理论和分布式计算为使用高级建模进行常规稳定性预测提供了可观的前景。

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