Predictive Material Modeling: Combining Fundamental Physics Understanding, Computational Methods and Empirically Observed Behavior (ASTM Special Technical Publication, 1429)

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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.

Author(s): Mark T. Kirk and M. Erickson Natishan, editors
Edition: illustrated edition
Year: 2003

Language: English
Pages: 168

Foreword......Page 4
Contents......Page 5
Overview......Page 6
Transition Toughness Modeling of Steels Since RKR......Page 9
Transferability Properties of Local Approach Modeling in the Ductile to Brittle Transition Region......Page 28
Constraint Correction of Fracture Toughness CTOD for Fracture Performance Evaluation of Structural Components......Page 54
A Physics-Based Predictive Model for Fracture Toughness Behavior......Page 73
Sensitivity in Creep Crack Growth Predictions of Components due to Variability in Deriving the Fracture Mechanics Parameter C*......Page 87
On the Identification of Critical Damage Mechanisms Parameters to Predict the Behavior of Charpy Specimens on the Upper Shelf......Page 109
Interface Strength Evaluation of LSI Devices Using the Weibull Stress......Page 128
Computational Estimation of Multiaxial Yield Surface Using Microyield Percolation Analysis......Page 139
Image-Based Characterization and Finite Element Analysis of Porous SMA Behavior......Page 155