Investigating Efficiency of Time Domain Curve fitters Versus Filtering for Rectification of Displacement Histories Reconstructed from Acceleration Measurements

Mahdi Teimouri Sichani, Rune Brincker

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    1 Citation (Scopus)
    6 Downloads (Pure)

    Abstract

    Computing displacements of a structure from its measured accelerations has been major concern of some fields of engineering such as earthquake engineering. In vibration engineering also displacements are preferred to acceleration histories occasionally i.e. in the determination of forces applied on a structure. In brief the major problem that accompanies reconstruction of true displacement from acceleration record is the unreal drift observed in the double integrated acceleration. Purpose of the present work is to address source of the problem, introduce its treatments, show how they work and compare results of different techniques together. Finally some suggestions are made on the implementation of these techniques to remove disturbing part of the calculated displacements.
    Original languageEnglish
    Title of host publicationProceedings of ISMA2008 : International Conference on Noise and Vibration Engineering
    EditorsP. Sas, B. Bergen
    Number of pages16
    PublisherKatholieke Universiteit, Leuven
    Publication date2008
    Pages3035-3050
    ISBN (Electronic)9789073802865
    Publication statusPublished - 2008
    EventInternational Conference on Noise and Vibration Engineering - Leuven, Belgium
    Duration: 15 Sept 200817 Sept 2008
    Conference number: 23

    Conference

    ConferenceInternational Conference on Noise and Vibration Engineering
    Number23
    Country/TerritoryBelgium
    CityLeuven
    Period15/09/200817/09/2008

    Fingerprint

    Dive into the research topics of 'Investigating Efficiency of Time Domain Curve fitters Versus Filtering for Rectification of Displacement Histories Reconstructed from Acceleration Measurements'. Together they form a unique fingerprint.

    Cite this