Abstract Predictions of railway-induced vibration levels should be accompanied by the caveat that uncertainties exist regardless of the prediction technique used—whether it be empirical methods based on in situ measurements, or numerical models with measured or estimated parameter inputs. This paper investigates sources of uncertainty present in field measurements. Using data from an extensive in situ measurement campaign, variability due to changes in receiver position, the averaging of multiple hammer impacts and time lapse between measurements are quantified. Results are used to conservatively estimate the following uncertainty levels: 1–2 dB for installation of measuring equipment; 5 dB for temporal changes of 14 months; 5 dB at below 10 Hz when using an average of 20 hammer impacts to determine transfer functions; and at least 2–5 dB variation for 10 m longitudinal offset in measurement location.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Quantifying Uncertainties in Measurements of Railway Vibration


    Beteiligte:
    Kuo, K. A. (Autor:in) / Lombaert, G. (Autor:in) / Degrande, G. (Autor:in)


    Erscheinungsdatum :

    2018-01-01


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Quantifying Uncertainties in Measurements of Railway Vibration

    Kuo, K. A. / Lombaert, G. / Degrande, G. | British Library Conference Proceedings | 2018


    Quantifying uncertainties in a national forecasting model

    Hugosson, Muriel Beser | Online Contents | 2005


    Quantifying uncertainties in a national forecasting model

    Hugosson, Muriel Beser | Elsevier | 2005


    Further Studies Quantifying Human Thermal Modeling Uncertainties

    Iyoho, Anthony / Thornton, Samuel / Nair, Satish | SAE Technical Papers | 2001


    Quantifying Impacts of Uncertainties on Certification-Driven Design

    Xie, Jiacheng / Harrison, Evan / Mavris, Dimitri N. | TIBKAT | 2023