Seismic performance assessment of composite frames including shear panel effects

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2004

Autores

José Miguel Castro (Autor) FEUP; A. Y. Elghazouli (Autor) Outra; B. A. Izzuddin (Autor) Outra

Ata de Conferência Internacional

Título: 13th World Conference on Earthquake Engineering

13th World Conference on Earthquake Engineering

Vancouver, Canada, 1 a 6 de Agosto de 2004

Indexação

ISI Proceedings

Classificação Científica

CORDIS: Ciências Físicas

Outras Informações

Abstract (EN): Shear panel deformations are known to have a significant influence on the response of steel structures under seismic loading conditions. The behaviour of the shear panel has a direct influence on both lateral stiffness and capacity of a moment-resisting steel frame. These effects are of even more significance in the case of composite steel-concrete moment-resisting frames. However, whereas well-established analytical models are available for representing the shear panel behaviour in steel frames, it can be shown that these models cannot be reliably used in the case of composite systems due to considerable differences in fundamental behavioural aspects. This paper assesses the seismic response of composite steel-concrete moment-resisting frames with particular emphasis on the influence of shear panel effects. Firstly, analytical models available in the literature for representing shear panel behaviour in steel frames are reviewed, and their limitations in terms of application to composite frames are demonstrated. This is followed by the presentation of a new modelling approach specifically developed for panel zones in composite frames. The proposed model, which considers realistic boundary conditions in the panel zone, provides a more accurate and reliable representation of the response. The new approach is implemented within the advanced program ADAPTIC, which accounts for material and geometric nonlinearities. Details of the model are described and comparisons with available experimental data and alternative modelling techniques are presented for validation.

Idioma: Inglês

Tipo (Avaliação Docente): Científica