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- W2043012017 abstract "The prediction of collapse of structures has gained growing attention recently, as it is important to be able to predict and model structural collapse due to extreme loads. A lack of accurate and validated structural collapse models significantly limits the structural engineering community to predict possible extreme loads that precipitate collapse. This paper proposes an integrated platform for validated prediction of collapse of steel structures that accounts for material softening followed by elimination of finite elements to enable simulation of fracture. The proposed approach employs a void growth model (VGM) to simulate the initiation of softening and the Hillerborg model for modeling the softening itself, followed by an element deletion strategy that is developed in this framework. The parameters of these models were calibrated to a comprehensive set of experimental test results of circumferentially notched tensile (CNT) coupon specimens. These calibrated models were then validated through comparison with a broad array of experimental test results of steel structures, ranging in complexity from tensile coupons to moment-resisting beam-to-column connections. The proposed approach is shown to be accurate. Through element deletion, the formulation can account for complete structural component separation, thus precipitating modeling of the collapse of structures. This approach thus enables high-fidelity parametric simulation capabilities of interest to researchers, practitioners, and code developers who address collapse of structures." @default.
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- W2043012017 date "2014-04-02" @default.
- W2043012017 modified "2023-10-18" @default.
- W2043012017 title "Validation of a Finite Element Approach to Modeling of Structural Collapse of Steel Structures" @default.
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- W2043012017 doi "https://doi.org/10.1061/9780784413357.190" @default.
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