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Fast and Reliable Solution of GDoF-Problems on NAVO/BABBAGE and AFRL/HAWK Systems

机译:Navo / Babbage和AFRL / Hawk系统上的GDOF问题的快速可靠解决方案

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Fast and reliable structures and materials analysis of full fuselage, wing, and/or empennage sections is now for first time possible with access to highly optimized software, called STRIPE, and the Naval Oceanographic Office (NAVO) BABBAGE and Air Force Research Laboratory (AFRL) HAWK systems. Analyses of this type have opened up the possibility for considering the statistical uncertainties in material data, geometry, crack locations, etc. Very detailed analysis can be performed on huge models which are geometrically exact down to rivet details where growth of numerous cracks at numerous locations is studied. Access to this type of analysis results can drastically reduce inspection requirements, prevent premature retirement of old aircraft and increase aircraft safety; all resulting in a potential to save billions of dollars if implemented across the United States Air Force (USAF) fleet. By applying a novel mathematical multi-scale scheme, these problems can be split into solving many thousand smaller problems and one very large problem. The efficient implementation of these two different activities is crucial for computing in a shared environment. This technique results in solution of 109 sets of equations for the large problem with greater than 104 right hand sides and thousands of smaller problems having about 106 degrees-of-freedom (DoF) each. Iterative solvers are not competitive so direct solvers must be used. The major difficulty in achieving scalability is then related to the extensive input/output (I/O) traffic characteristic of commercially available (MSC/NASTRAN and ABAQUS for example) software. The paper describes various techniques adopted to achieve high system scalability when solving the world’s largest strength of materials problem related to aircraft maintenance and design. Support from major software vendors (SGI, IBM), MSRC’s support specialists as well as I/O specialists at the University of Tennessee (as a part of the PET-prog- - ram) have strongly contributed to the successful results demonstrated. The technological capability developed is demonstrated by analyzing an idealized C-130 center wing box.
机译:完全机身,翼和/或empennage部分的快速可靠的结构和材料分析现在首次获得高度优化的软件,称为条纹和海军海洋办公室(Navo)巴布和空军研究实验室(AFRL )鹰系统。这种类型的分析已经打开了考虑材料数据,几何形状,裂缝位置等的统计不确定性的可能性非常详细的分析可以对巨大的模型进行,这些模型可以进行几何上精确到铆钉细节,其中许多位置的增长研究过。进入这种类型的分析结果可以大大降低检查要求,防止旧飞机的过早退休并增加飞机安全;如果在美国空军(USAF)舰队中实施,所有这些都导致省略数十亿美元。通过应用新的数学多规模方案,这些问题可以分裂到解决数千个小问题和一个非常大的问题。这两个不同活动的有效实施对于在共享环境中计算至关重要。该技术导致109套方程的解决方案,对于大于104的右手侧,每个右手侧和每个具有约106度(DOF)的较小问题。迭代溶剂不竞争,因此必须使用直接求解器。实现可扩展性的主要困难是与商业上可用的广泛输入/输出(I / O)业务特性有关(MSC / NASTRAN和ABAQU)软件的大量相关。本文介绍了在解决全球最大的材料问题与飞机维护和设计相关的材料问题时采用的各种技术来实现高系统可扩展性。主要软件供应商(SGI,IBM)的支持,MSRC的支持专家以及田纳西大学的I / O专家(作为宠物前境的一部分)对所证明的成功结果有着强烈贡献。通过分析理想化的C-130中心翼盒来证明了技术能力。

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