L
László Gergely Vigh
Researcher at Budapest University of Technology and Economics
Publications - 43
Citations - 305
László Gergely Vigh is an academic researcher from Budapest University of Technology and Economics. The author has contributed to research in topics: Seismic analysis & Girder. The author has an hindex of 9, co-authored 43 publications receiving 239 citations.
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Seismic performance assessment of steel corrugated shear wall system using non-linear analysis
TL;DR: In this article, a light-framed steel shear wall seismic force resisting system is evaluated using a series of non-linear static and dynamic analyses using numerical models that are calibrated to experimental test data.
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Component model calibration for cyclic behavior of a corrugated shear wall
TL;DR: In this article, a new cold-formed steel corrugated shear wall seismic force resisting system has been recently developed by Tipping Mar and Associates of Berkeley, California, where the cyclic strut element is modeled by cyclic wavelet element to reduce calculation demands.
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Eurocode conforming design of BRBF – Part I: Proposal for codification
TL;DR: In this article, a Eurocode conforming design procedure for BRBF is proposed and the seismic design parameters and capacity design rules by enhancing Eurocode 8 specifications on steel Concentrically Braced Frames.
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Fatigue behaviour of Friction Stir Welded aluminium bridge deck segment
László Gergely Vigh,Ichiro Okura +1 more
TL;DR: In this article, the experimental fatigue assessment of a recently developed aluminium bridge deck system utilizing Friction Stir Welded (FSW) elements is discussed, where the critical region of the butt weld detail is defined and the mechanical properties are determined by tensile test.
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Complex and comprehensive method for reliability calculation of structures under fire exposure
Tamás Balogh,László Gergely Vigh +1 more
TL;DR: In this article, the reliability of a tapered steel frame protected by intumescent coating is calculated by using First Order Reliability Method; the computed failure probabilities are verified by Monte Carlo Simulation.