Prediction of the dynamic oscillation threshold in a clarinet model with a linearly increasing blowing pressure: influence of noise

被引:6
|
作者
Bergeot, B. [1 ]
Almeida, A. [1 ]
Vergez, C. [2 ]
Gazengel, B. [1 ]
机构
[1] LUNAM Univ, Univ Maine, CNRS, UMR 6613,Lab Acoust, F-72085 Le Mans 9, France
[2] Aix Marseille Univ, CNRS, UPR 7051, LMA,Cent Marseille, F-13402 Marseille 20, France
关键词
Musical acoustics; Clarinet-like instruments; Iterated maps; Dynamic Bifurcation; Bifurcation delay; Transient processes; Noise; Finite precision; BIFURCATIONS;
D O I
10.1007/s11071-013-0991-8
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents an analysis of the effects of noise and precision on a simplified model of the clarinet driven by a variable control parameter. When the control parameter is varied, the clarinet model undergoes a dynamic bifurcation. A consequence of this is the phenomenon of bifurcation delay: the bifurcation point is shifted from the static oscillation threshold to a higher value, called dynamic oscillation threshold. In a previous work Bergeot et al. in Nonlinear Dyn. doi:10.1007/s11071-013-0806-y, (2013), the dynamic oscillation threshold is obtained analytically. In the present article, the sensitivity of the dynamic threshold on precision is analyzed as a stochastic variable introduced in the model. A new theoretical expression is given for the dynamic thresholds in presence of the stochastic variable, providing a fair prediction of the thresholds found in finite-precision simulations. These dynamic thresholds are found to depend on the increase rate and are independent on the initial value of the parameter, both in simulations and in theory.
引用
收藏
页码:591 / 605
页数:15
相关论文
共 50 条
  • [31] A prediction model of dynamic pore water pressure for MICP-treated calcareous sand
    Liu H.
    Zhang Y.
    Guo W.
    Xiao P.
    Huang M.
    Chu J.
    Xiao Y.
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2021, 40 (04): : 790 - 801
  • [32] A comprehensive model for dynamic prediction of formation pressure during alternate injection of gas storage
    Liu, Zechang
    Zhang, Yuan
    Ma, Zhanguo
    Hu, Jinghong
    PHYSICS OF FLUIDS, 2025, 37 (04)
  • [33] Study on correlation prediction model for static explosion and dynamic explosion shock wave pressure
    Wang, Liangquan
    Kong, Deren
    MEASUREMENT & CONTROL, 2024, 57 (07): : 879 - 892
  • [34] Threshold prediction for noise-modulated electrical stimuli using a stochastic auditory nerve model: Implications for cochlear implants
    Xu, YF
    Collins, LM
    2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 1929 - 1932
  • [35] Influence of neuromuscular noise and walking speed on fall risk and dynamic stability in a 3D dynamic walking model
    Roos, Paulien E.
    Dingwell, Jonathan B.
    JOURNAL OF BIOMECHANICS, 2013, 46 (10) : 1722 - 1728
  • [36] Dynamic Threshold Based Throughput Enhancement in Cognitive Radio Network Using Hidden Markov Model with State Prediction
    Ashim Jyoti Gogoi
    Krishna Lal Baishnab
    Wireless Personal Communications, 2020, 115 : 1973 - 1991
  • [37] A Dynamic Spatiotemporal Analysis Model for Traffic Incident Influence Prediction on Urban Road Networks
    Liu, Chun
    Zhang, Shuhang
    Wu, Hangbin
    Fu, Qiang
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6 (11)
  • [38] Dynamic Threshold Based Throughput Enhancement in Cognitive Radio Network Using Hidden Markov Model with State Prediction
    Gogoi, Ashim Jyoti
    Baishnab, Krishna Lal
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 115 (03) : 1973 - 1991
  • [39] The Influence of Weighing Factor and Prediction Horizon on the Dynamic Performance of the Model Predictive Current Control
    Du, Sixun
    Chen, Liwei
    Wang, Yuanlin
    Dou, Manfeng
    6TH IEEE INTERNATIONAL CONFERENCE ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2021), 2021, : 341 - 346
  • [40] Dynamic Influence Prediction of Social Network Based on Partial Autoregression Single Index Model
    Jia, Ya-hui
    Song, Taotao
    Wu, Shun-yao
    Zhang, Qi
    Su, Yu-xia
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2019, 2019