飞机载荷谱实测数据并行统计处理算法

›› 2012, Vol. ›› Issue (03): 683-688.

飞机载荷谱实测数据并行统计处理算法

闫光¹, 刘力宏², 左春柽¹

1. 吉林大学机械科学与工程学院, 长春 130022;
2. 北京飞机强度研究所, 北京 100083

收稿日期:2011-06-20 出版日期:2012-05-01
通讯作者: 左春柽(1963-),男,教授,博士生导师.研究方向:现代设计理论及方法.E-mail:zuocc@jlu.edu.cn E-mail:zuocc@jlu.edu.cn
基金资助:
国家自然科学基金项目(50135010).

Parallel statistics processing algorithm of aircraft load spectrum testing data

YAN Guang¹, LIU Li-hong², ZUO Chun-cheng¹

1. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
2. Beijing Aircraft Strength Institute, Beijing 100083, China

Received:2011-06-20 Online:2012-05-01

摘要/Abstract

摘要： 针对飞机载荷谱数以万亿计的实测数据,为了提高统计处理运行效率,提出了飞机载荷谱实测数据处理的并行算法。本文对载荷谱实测数据处理模型进行了多级并行化分析,在此基础上论述了粗粒度、中粒度、细粒度级并行处理方式,建立了两种并行处理算法——基于机型数据流的粗粒度与中粒度并行数据处理算法和基于某起落数据流的中粒度与细粒度并行数据处理算法。在小规模对称多处理器(Symmetrical multi-processors,SMP)集群运算平台下进行比较测试表明,可大幅地提高载荷谱数据处理运行效率,在8核运算环境下,最高能获得5.82的加速比,为飞机载荷谱实测数据处理研究领域进行大规模科学计算和提高数据处理效率提供了新的技术途径。

关键词: 塑性力学, 并行算法, 飞机载荷谱数据统计处理, 对称多处理器

Abstract: The parallel algorithm was presented for enhancing the statistics processing efficiency of thousands of billions aircraft load spectrum testing data. The data processing was multi-level parallel analyzed, and the coarse-grained, medium-grained, fine-grained level parallel processing modes were formulated. Two parallel algorithms were proposed ultimately, one is coarse-grained and medium-grained parallel algorithm based on aircraft type data flow, and the other is medium grain and fine-grain parallel algorithm based on flight data flow. Comparison test based on the small-scale SMP (Symmetrical Multi-processors) cluster shows that the algorithms can improve statistical processing efficiency greatly. A highest speedup of 5.82 in 8 cores can be achieved. The algorithms present a creative method for the complex scientific computation and enhance the computing efficiency in real testing data processing of load spectrum.

Key words: plasticity mechanics, parallel algorithm, aircraft load spectrum data statistics processing, symmetrical multi-processors(SMP)

中图分类号:

O347

闫光, 刘力宏, 左春柽. 飞机载荷谱实测数据并行统计处理算法 [J]. , 2012, (03): 683-688.

YAN Guang, LIU Li-hong, ZUO Chun-cheng. Parallel statistics processing algorithm of aircraft load spectrum testing data[J]. , 2012, (03): 683-688.

参考文献

[1] 闫楚良,张书明,叶舸,等.中值随机载荷谱数据处理专家系统［J］.北京航空航天大学学报,2000, 26(4):428-431. Yan Chu-liang, Zhang Shu-ming, Ye Ke, et al. Data treatment expert system for median stochastic load-spectrum［J］. Journal of Beijing University of Aeronautics and Astronautics,2000, 26(4):428-431.
[2] 闫楚良,高镇同. 飞机高置信度中值随机疲劳载荷谱的编制原理［J］. 航空学报,2000,21(2):118-123. Yan Chu-liang, Gao Zhen-tong. Compilation theory of median stochastic fatigue load-spectrum with high confidence level for airplane［J］. Acta Aeronautica Et Astronautica Sinica,2000,21(2):118-123.
[3] Dupros F, De Martin F, Foerster E, et al. High-performance finite-element simulations of seismic wave propagation in three-dimensional nonlinear inelastic geological media［J］. Parallel Computing,2010, 36(5/6):308-325.
[4] 李海江.基于集群的并行有限元分析研究［J］. 计算力学学报,2007,24(1):117-123. Li Hai-jiang. Research on cluster-based parallel finite element analysis［J］. Chinese Journal of Computational Mechanics,2007,24(1):117-123.
[5] Xiong J J, Shenoi.R A A load history generation approach for full-scale accelerated fatigue tests［J］. Engineering Fracture Mechanics,2008,75(10): 3226-3233.
[6] 闫楚良,刘克格.飞机结构经济寿命与可靠性评定［M］.北京:航空工业出版社,2010:67-72.
[7] 闫楚良.飞机载荷谱实测技术与编制原理［M］. 北京:航空工业出版社, 2010:182-190.
[8] 周俊,童小燕. 雨流计数的快速实现方法［J］.科学技术与工程,2008,8(13):3544-3547. Zhou Jun, Tong Xiao-yan. Rapid realization method of rain-flow counting［J］.Science Technology and Engineering,2008, 8(13):3544-3547.
[9] Flynn M J. Some computer organizations and their effectiveness［J］. IEEE Trans-actions on computer C-21(9):948-960.
[10] Foster Ian. Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering［M］. MA: Addison-Wesley,1995:45-88.
[11] 李静滨,杨柳,华蓓.基于多核平台并行K-Medoids算法研究［J］. 计算机应用研究, 2011, 28(2):498-500. Li Jing-bin, Yang Liu, Hua Bei. Research on parallel K-Medoids algorithm based on multi-core platform［J］. Application Research of Computers 2011, 28(2):498-500.
[12] 吴建平,王正华,李晓梅. 利用混合编程改善SMP机群上并行矩阵乘法的性能［J］. 国防科技大学学报, 2006,28(4): 68-72. Wu Jian-ping,Wang Zheng-hua,Li Xiao-mei. Improve the performance of parallel matrix multiplication on clustered SMP Systems through hybrid programming［J］.Journal of National University of Defense Technology,2006, 28(4):68-72.

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