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Field
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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of both mechanical systems and components. The emphasis is on designing for the complete product life-cycle. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer
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and timeframe Different methods will be used to address the Objectives given above. Objective 1: GIS analysis of historic maps and aerial imagery Potentially capture of new UAV imagery Objective 2
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without expensive die tryouts and new model development costs. In addition, CP-FEM (crystal plasticity-finite element method) modeling allows development of constitutive laws for new materials based
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. Experience related to fluid, cryogen, pressure, flow rate, and gas sensors and instrumentation. Computer-aided design (CAD) experience and demonstrated proficiency (SolidWorks™ preferred). Finite-element
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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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thermomechanical finite element modeling, CALPHAD-based thermodynamics, and crystal plasticity and to both powder-scale and atomic-scale simulations. Emphasis will be on integration of model predictions with
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strain rates and temperatures. Identifying material properties and constitutive model parameters from the integrated data sets currently focuses on the finite element model updating (FEMU) method, but
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., J. Chem. Engr. Data., 2020, 65 (7) Multiphysics simulations; computational fluid dynamics; finite volume, finite and discrete element methods; computational fluid and particle dynamics; multiscale
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, and is complicated further by the nature of anisotropic materials. The goal of this research is to use finite element methods to develop computational models which can accurately replicate behaviour