A modified OPTICS clustering algorithm for analyzing flow characteristics

WANG Rui; XIN Dabo; OU Jinping

doi:10.7638/kqdlxxb-2021.0002

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A modified OPTICS clustering algorithm for analyzing flow characteristics

更新时间：2026-05-28

- A modified OPTICS clustering algorithm for analyzing flow characteristics
- Vol. 39, Issue 5, Pages: 27-43(2021)
- 作者机构：
  
  1. 哈尔滨工业大学土木工程学院,哈尔滨,150090
  2. 东北林业大学土木工程学院,哈尔滨,150040
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2021.0002
  CLC： O302
- Published：2021
- 稿件说明：
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王锐, 辛大波, 欧进萍. 基于OPTICS聚类算法的流场结构特征分析方法[J]. 空气动力学学报, 2021, 39(5): 27−43.

WANG Rui, XIN Dabo, OU Jinping. A modified OPTICS clustering algorithm for analyzing flow characteristics[J]. 2021, 39(5): 27-43.
王锐, 辛大波, 欧进萍. 基于OPTICS聚类算法的流场结构特征分析方法[J]. 空气动力学学报, 2021, 39(5): 27−43. DOI： 10.7638/kqdlxxb-2021.0002

WANG Rui, XIN Dabo, OU Jinping. A modified OPTICS clustering algorithm for analyzing flow characteristics[J]. 2021, 39(5): 27-43. DOI： 10.7638/kqdlxxb-2021.0002.

摘要

为了改进现有的基于聚类分析的流场结构特征分析方法，使之更加适用于结构风工程领域的风场特征识别与分析，依托聚类分析的思想，结合一种基于密度的OPTICS聚类算法，并引入相关距离的概念替换了原算法中的欧氏距离，提出了采用一种基于相关距离的OPTICS聚类算法进行流场结构特征分析。实例分析利用基于大涡模拟的计算流体动力学数值模拟，对低雷诺数下经典圆柱绕流问题进行了瞬态求解，获取了2000个圆柱尾流中顺流向涡的瞬态涡量场样本。然后，以识别圆柱尾流中的顺流向涡旋涡脱落状态和顺流向涡A模式展向分布为目标，对比了

-means、原始的OPTICS算法和基于相关距离的OPTICS聚类算法等流场结构特征分析方法。分析实例的结果表明，基于相关距离的OPTICS算法能够在合适的初始参数设置下有效识别顺流向涡脱落状态和其A模式展向分布间距，相对

-means算法降低了对初始参数的敏感度，聚类结果稳定且唯一。

Abstract

Current clustering-based methods still need improvement for the flow features identifying and analysis in the field of wind engineering. Therefore

this paper proposed a modified OPTICS (Ordering Points to Identify the Clustering Structure) algorithm to extract flow features. It is a density-based clustering method with the Euclidean distance replaced by the correlation distance. It is employed to study the streamwise vortex shedding and the spanwise distribution of the A-mode in a low-Reynolds-number circular cylinder wake flow obtained by Large Eddy Simulation. Its performance is further compared with the

-means

and the original OPTICS method. The results indicated that the OPTICS algorithm based on the correlation distance can identify the streamwise vortex shedding and the spanwise distribution of the A-mode effectively with reasonable initial parameters. Compared with the

-means

this method is insensitive to the initialization parameters and its results are consequently more stable and well-determined.

关键词

Keywords

references

CHEN Z Q. Wind engineering of bridge[[M]. Beijing: China Communications Press, 2005 (in Chinese).

MOMOMURA Y, MARUKAWA H, OKAMURA T, et al. Full-scale measurements of wind-induced vibration of a transmission line system in a mountainous area[J]. Journal of Wind Engineering and Industrial Aerodynamics, 1997, 72: 241-252. DOI: 10.1016/S0167-6105(97)00240-7.

HOLMES J D, SCHAFER B L, BANKS R W. Wind-induced vibration of a large broadcasting tower[J]. Journal of Wind Engineering and Industrial Aerodynamics, 1992, 43(1-3): 2101-2109. DOI: 10.1016/0167-6105(92)90640-V.

LI Y, HUANG G Q, CHENG X, et al. The numerical simulation of moving downbursts and their induced wind load on high-rise buildings[J]. Engineering Mechanics, 2020, 37(3): 176-187. (in Chinese)

ZHANG W F, ZHANG Z T, ZHANG X X, et al. Experimental and numerical investigations on aerodynamic admittances of section models[J]. China Journal of Highway and Transport, 2018, 31(6): 207-216. (in Chinese)

YANG Q, LIU X B, LIU Q K, et al. Numerical simulation of wind load of three steel chimneys in regular triangular arrangement[J]. Engineering Mechanics, 2017, 34(S1): 154-158. (in Chinese)

LI S Y, ZENG Q Y, WEN X G, et al. Numerical simulations and tests for dry galloping mechanism of stay cables[J]. Journal of Vibration and Shock, 2017, 36(11): 100-105. (in Chinese) DOI: 10.13465/j.cnki.jvs.2017.11.015.

DONG X, YE J H. Piv experimental investigation of vortices on large-span roofs[J]. Engineering Mechanics, 2014, 31(11): 161-169. (in Chinese)

ZHANG W, GE Y J. Flow field mechanism of wind induced vibration response of large span bridge influenced by guide vanes[J]. China Journal of Highway and Transport, 2009, 22(3): 52-57. (in Chinese) DOI: 10.19721/j.cnki.1001-7372.2009.03.010.

KAISER E, NOACK B R, CORDIER L, et al. Cluster-based reduced-order modelling of a mixing layer[J]. Journal of Fluid Mechanics, 2014, 754: 365-414. doi: 10.1017/jfm.2014.355.

BERKOOZ G, HOLMES P, LUMLEY J L. The proper orthogonal decomposition in the analysis of turbulent flows[J]. Annual Review of Fluid Mechanics, 1993, 25(1): 539-575. DOI: 10.1146/annurev.fl.25.010193.002543.

HOLMES P, LUMLEY J L, BERKOOZ G, et al. Turbulence, coherent structures, dynamical systems and symmetry[M ] . Cambridge: Cambridge University Press, 2009. doi: 10.1017/cbo9780511919701

SCHMID P J. Dynamic mode decomposition of numerical and experimental data[J]. Journal of Fluid Mechanics, 2010, 656: 5-28. DOI: 10.1017/s0022112010001217.

ROWLEY C W, MEZIĆ I, BAGHERI S, et al. Spectral analysis of nonlinear flows[J]. Journal of Fluid Mechanics, 2009, 641: 115-127. DOI: 10.1017/s0022112009992059.

CAO Y J, KAISER E, BORÉE J, et al. Cluster-based analysis of cycle-to-cycle variations: application to internal combustion engines[J]. Experiments in Fluids, 2014, 55(11): 1-8. DOI: 10.1007/s00348-014-1837-y.

ÖSTH J, KAISER E, KRAJNOVIĆ S, et al. Cluster-based reduced-order modelling of the flow in the wake of a high speed train[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 145: 327-338. doi: 10.1016/j.jweia.2015.06.003.

JAIN A K. Data clustering: 50 years beyond K-means[J]. Pattern Recognition Letters, 2010, 31(8): 651-666. DOI: 10.1016/j.patrec.2009.09.011.

ANKERST M, BREUNIG M M, KRIEGEL H P, et al. OPTICS: ordering points to identify the clustering structure[C ] //Proceedings of the 1999 ACM SIGMOD international conference on Management of data - SIGMOD '99, Philadelphia, Pennsylvania, USA. New York: ACM Press, 1999. doi: 10.1145/304182.304187 .

DASZYKOWSKI M, WALCZAK B, MASSART D L. Looking for natural patterns in analytical data. 2. tracing local density with OPTICS[J]. Journal of Chemical Information and Computer Sciences, 2002, 42(3): 500-507. DOI: 10.1021/ci010384s.

WILLIAMSON C H K. Three-dimensional wake transition[J]. Journal of Fluid Mechanics, 1996, 328: 345-407. DOI: 10.1017/s0022112096008750.

LAWSON T V. Mean forces, pressures and flow field velocities for circular cylindrical structures: single cylinder with two-dimensional flow[M]. ESDU Data Item 80025, London, U. K. 2010.

NORBERG C. Fluctuating lift on a circular cylinder: review and new measurements[J]. Journal of Fluids and Structures, 2003, 17(1): 57-96.

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