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Название: Predictive Material Modeling: Combining Fundamental Physics Understanding, Computational Methods and Empirically Observed Behavior (ASTM Special Technical Publication, 1429)
Автор: Mark T. Kirk
Get the latest information on how to extend the design life of structures and accurately predict both the fundamental material behavior and structural response under a wide range of load conditions. Nine peer-reviewed papers cover: Ferritic Steels—addresses fracture in the transition regime, on the upper shelf, and in the creep range. This section also examines the Gurson and Weibull models to predict fracture performance and account for constraint loss. Electronic Materials—discusses the application of the Weibull models used extensively for steel fracture to assess the interfacial fracture of electronic components. These models predict well conditions similar to the calibration dataset. Computational Techniques—covers advanced computational and experimental techniques to develop constitutive models for composite and shape memory materials.