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Titel
Serviceability Analysis of Non-Prismatic Timber Beams: Derivation and Validation of New and Effective Straightforward Formulas
VerfasserBalduzzi, Giuseppe ; Hochreiner, Georg ; Füssl, Josef ; Auricchio, Ferdinando
Erschienen in
Open Journal of Civil Engineering, 2017, Jg. 7, S. 32-62
ErschienenScientific Research Publishing (SCIRP), 2017
Ausgabe
Published version
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)Serviceability Analysis / Non-Prismatic Timber Beams / Tapered Beams / Pitched Beams / Maximal Displacements
Projekt-/ReportnummerAustrian Science Fund (FWF) M 2009-N32
ISSN2164-3172
URNurn:nbn:at:at-ubtuw:3-2916 Persistent Identifier (URN)
DOI10.4236/ojce.2017.71003 
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 Das Werk ist frei verfügbar
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Serviceability Analysis of Non-Prismatic Timber Beams: Derivation and Validation of New and Effective Straightforward Formulas [2.65 mb]
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Zusammenfassung (Englisch)

This paper provides innovative and effective instruments for the simplified analysis of serviceability limit states for pitched, kinked, and tapered GLT beams. Specifically, formulas for the evaluation of maximal horizontal and vertical displacements are derived from a recently-proposed Timoshenko-like nonprismatic beam model. Thereafter, the paper compares the proposed serviceability analysis formulas with other ones available in literature and with highly refined 2D FE simulations in order to demonstrate the effectiveness of the proposed instruments. The proposed formulas lead to estimations that lie mainly on the conservative side and the errors are smaller than 10% (exceptionally up to 15%) in almost all of the cases of interest for practitioners. Conversely, the accuracy of the proposed formulas decreases for thick and highly-tapered beams since the beam model behind the proposed formulas cannot tackle local effects (like stress concentrations occurring at bearing and beam apex) that significantly influence the beam behavior for such geometries. Finally, the proposed formulas are more accurate than the ones available in literature since the latter ones often provide non-conservative estimations and errors greater than 20% (up to 120%).

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CC-BY-Lizenz (4.0)Creative Commons Namensnennung 4.0 International Lizenz