An algorithm addressing geometrical plus material non linear analysis of 2D structural elements is developed. It employs corototaional formulation to address geometrical non linearity. Material non linearity is incorporated through numerical integration across the volume of the element. Thereafter unintentional material uncertainties are addressed in probabilistic manner through Monte Carlo simulations. The accuracy of the proposed algorithm at various is validated through examples from previous literature. The probabilistic statistics for the ultimate load capacity are presented. Addressing structural nonlinearities making an allowance for the unavoidable uncertainties in a corototional probabilistic fashion used herein is the most innovative approach.

STRUCTURAL NONLINEARITIES IN COROTATIONAL PROBABILISTIC APPROACH / Siddique, Iffat. - ELETTRONICO. - Civil-Comp Proceedings:102:(2013). (Intervento presentato al convegno The Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing tenutosi a Cagliari-Sardinia-Italy nel 3-6 September).

STRUCTURAL NONLINEARITIES IN COROTATIONAL PROBABILISTIC APPROACH

SIDDIQUE, IFFAT
2013

Abstract

An algorithm addressing geometrical plus material non linear analysis of 2D structural elements is developed. It employs corototaional formulation to address geometrical non linearity. Material non linearity is incorporated through numerical integration across the volume of the element. Thereafter unintentional material uncertainties are addressed in probabilistic manner through Monte Carlo simulations. The accuracy of the proposed algorithm at various is validated through examples from previous literature. The probabilistic statistics for the ultimate load capacity are presented. Addressing structural nonlinearities making an allowance for the unavoidable uncertainties in a corototional probabilistic fashion used herein is the most innovative approach.
2013
9781905088577
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2519015
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