(Mechanics of Solids and Structures)
Symposium Organizers:
John M. Emery, Sandia National Laboratories
jmemery@sandia.gov
Joseph E. Bishop, Sandia National Laboratories
jebisho@sandia.gov
Jacob D. Hochhalter, NASA Langley Research Center
Jacob.D.Hochhalter@nasa.gov
Symposium Technical Description
A fundamental challenge in solid mechanics is predicting structural failure and reliability given the nonlinear, heterogeneous, and random microstructure of most engineering materials. Multiscale numerical methods (MNM) are an active and rich topic of investigation. Their primary goal is to bridge length scales in order to adequately represent the physics and uncertainty introduced by a heterogeneous and random microstructure. One of the challenges is seeking a proper balance of physical realism at the microscale so that calculations are tractable while at the same time including adequate representation of the variability and emergent phenomena, e.g., localization. Another challenge is the development of a posteriori errorestimation techniques to bound material model-form errors arising from the use of macroscale constitutive models. Still another challenge, is the development of experimental methods for validation. Finally, the stochastic nature of the problem – arguably the primary motivation behind multiscale modeling – is often difficult to address because the models are 1 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary computationally expensive, precluding the application of standard forward uncertainty propagation methods.
This symposium follows a similarly organized session at the 13th USNCCM and strives to bring together researchers from material science, the field of uncertainty quantification, and computational science and engineering to share accomplishments and lesson’s learned and to discuss new research in the following topics:
• strategies for tractable multiscale simulation;
• improved physical realism at the microscale within multiscale simulations;
• crack/damage propagation on the finescale;
• multiphysics in multiscale simulations;
• efficient forward propagation of uncertainty through multiscale numerical methodologies;
• material model-form error estimation for UQ;
• multiscale experimental methods; and
• multiscale techniques that do not filter out emergent phenomena at the macroscale.
Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary.
Technical Program
Tuesday | T3 3:00pm-4:40pm
| D10-1: Uncertainty Propagation and Quantification in Multiscale Simulation of Materials Response, Structural Performance, and Failure | ||
| Room 2102 | Session Chair: John M. Emery, Joseph E. Bishop, Jacob D. Hochhalter | Track D: Mechanics of Solids and Structures |
| 3:00 pm | Parametric homogenization framework for continuum elasto-plastic and fatigue damage models for titanium alloys (Invited)
Somnath Ghosh, Shravan Kotha, Deniz Ozturk |
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| 3:20 pm | Establishing a coarse-graining length-scale for stochastic multi-scale modeling of localized plastic deformation in metallic glasses
Dihui Ruan, Chris H. Rycroft, Michael D. Shields, Michael L. Falk |
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| 3:40 pm | Stochastic behavior of nanoscale dielectric wall buckling
Lawrence H. Friedman, Igor Levin, Robert F. Cook |
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| 4:00 pm | Concurrent multiscale modeling of microstructural effects on localization behavior in finite deformation solid mechanics
James Wesley Foulk III, Coleman Alleman, Alejandro Mota |
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| 4:20 pm | Efficient structural reliability including the effects of crystallographic texture on engineering-scale performance
John M. Emery, Brian A. Robbins, Jay Carroll, Joseph E. Bishop, Richard V. Field Jr. |
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Wednesday | W1 10:00am-11:40am
| D10-2: Uncertainty Propagation and Quantification in Multiscale Simulation of Materials Response, Structural Performance, and Failure | ||
| Room 2102 | Session Chair: John M. Emery, Joseph E. Bishop, Jacob D. Hochhalter | Track D: Mechanics of Solids and Structures |
| 10:00 am | Stochastic methods for upscaling material properties and behavior with application to composites
Roger G. Ghanem, Loujaine Mehrez, Charanraj Thimmisetty, Venkat Aitharaju, William Rodgers, Jacob Fish |
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| 10:20 am | Uncertainty quantification for computational models in fiber-reinforced composite materials using an adaptive sparse grid collocation method
Anindya Bhaduri, Lori Graham-Brady, Michael Shields, Yanyan He, Robert M. Kirby |
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| 10:40 am | A stochastic framework for upscaling elastic and damage behavior of concrete at mesoscale
Vasav Dubey, Arash Noshadravan |
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| 11:00 am | Bayesian approach to constitutive model selection, calibration, and uncertainty propagation: application to traumatic brain injury
Kumar Vemaganti, Sandeep Madireddy |
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| 11:20 am | Parallel asynchronous space-time algorithm for localized uncertainty quantification
Waad Subber, Karel Matous |
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