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STATISTICAL ENERGY ANALYSIS AND DIFFUSE FIELD

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  • معلومة اضافية
    • Contributors:
      Laboratoire de Tribologie et Dynamique des Systèmes (LTDS); École Centrale de Lyon (ECL); Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne (ENISE)-Centre National de la Recherche Scientifique (CNRS); Centre de Robotique (CAOR); Mines Paris - PSL (École nationale supérieure des mines de Paris); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL); Laboratoire Vibrations Acoustique (LVA); Institut National des Sciences Appliquées de Lyon (INSA Lyon); Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2019
    • Collection:
      MINES ParisTech: Archive ouverte / Open Archive (HAL)
    • الموضوع:
    • الموضوع:
      Montréal, Canada
    • نبذة مختصرة :
      International audience ; Statistical energy analysis (SEA) is a statistical theory of sound and vibration based on an analogy with thermodynamics. The main relationship of statistical energy analysis, the so-called coupling power proportionality, is intimately linked with the establishment of a diffuse vibration field in subsystems. In this study, we explore the conditions under which a diffuse field is enforced. We show that when the subsystem is excited by a point force, a low damping, a high frequency but also a ergodic billiard geometry are required conditions. Then, the energy exchange between two weakly coupled subsystems is proportional to the difference of vibrational energies. But when the field is not diffuse, the exchange of energy does not generally follow this proportionality. Numerical simulations are provided to support the discussion.
    • Relation:
      hal-02404658; https://hal.science/hal-02404658; https://hal.science/hal-02404658/document; https://hal.science/hal-02404658/file/LeBot_ICSV26.pdf
    • الدخول الالكتروني :
      https://hal.science/hal-02404658
      https://hal.science/hal-02404658/document
      https://hal.science/hal-02404658/file/LeBot_ICSV26.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.112D9828