The effect of random errors on a large statistical energy analysis model

R. J M Craik

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)


    The framework of analysis known as Statistical Energy Analysis has many important applications particularly in systems where detailed information is not available. As a result of the approximations made, to simplify the calculations, random error can be introduced into the SEA model. For large systems this gives rise to uncertainty in the energy levels. It is shown that the effect of these errors on the model depends on the "shape" of the model. A compact model dominated by short paths is less affected than a model controlled by long paths. In either case the ratio of the average error in the resultant energy level to the average error in the coupling loss factor decreases as the errors increase. This means that large models may be used with confidence even when based on data that is known to be approximate. © 1983.

    Original languageEnglish
    Pages (from-to)57-64
    Number of pages8
    JournalJournal of Sound and Vibration
    Issue number1
    Publication statusPublished - 8 Nov 1983


    Dive into the research topics of 'The effect of random errors on a large statistical energy analysis model'. Together they form a unique fingerprint.

    Cite this