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Meeting 2027 TMS Annual Meeting & Exhibition
Symposium Verification, Calibration, and Validation Approaches for Mechanical Modeling of Metals
Presentation Title Comparative Validation of FLAG Hydrocode Modeling Decisions for Copper-Target Gas-Gun Impact Tests
Author(s) Alexander Knecht, Chelsey Hargather
On-Site Speaker (Planned) Alexander Knecht
Abstract Scope This presentation discusses the modeling choices made when simulating gas gun impact experiments using LANL’s Lagrangian FLAG hydrocode. Gas gun experiments are critical to characterizing high velocity, high strain-rate behavior of materials used in extreme engineering applications. Due to the cost and complexity of these experiments, it is important to develop simulations which closely recreate target behavior. In this work, we follow four copper target impact experiments with various flyer materials. Model complexity is varied from a baseline model, to a threshold criterion for materials failure, to a sophisticated microstructural failure model which accounts for material porosity. It is shown that the explicit consideration of microstructural phenomena is necessary to reproduce the near-instantaneous state changes associated with shock physics modeling, particularly as found in the plastic modulus. Several configuration choices are evaluated, and preferred parameter values for the Pmin failure criterion are established for each of the four flyer materials.
Proceedings Inclusion? Planned:
Keywords Modeling and Simulation, Copper / Nickel / Cobalt, Other

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A probabilistic framework for irreversible kinetics: unifying forward evolution, inverse inference, and uncertainty quantification
A Stochastic Approach to Uncertainty in Fracture Toughness in Phase-Field Fracture Modelling
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Atomistic Screening and Experimental Assessment of Minor Alloying Effects in Cu–Al–Mn-Based Shape Memory Alloys
Calibration and Validation of Locally-Informed Microstructure-Based Lifing Models of Additively Manufactured Inconel 718
Characterizing Impact Response of Alloys through Ensemble-Based Data Assimilation
Comparative Validation of FLAG Hydrocode Modeling Decisions for Copper-Target Gas-Gun Impact Tests
Comparison of Crystal Plasticity Predictions with Multimodal X-ray Characterization of Deformed Aluminium in the Necking Regime
Corrected high speed nanoindentation mapping properties using mechanical-crystallograpic latent space
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From Process to Properties in Robotic Open-Die Forging
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Inverse Identification of Johnson-Cook Parameters from Dynamic Simulations and Nelder-Mead Simplex Method
Learning From Calibration: Bayesian Inference and Automated Workflows for Material Models
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Modeling the Deformation Behavior in Additively Manufactured 718 with Explicit Intragranular γ - γ' - γ'' Delineation
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Multiscale Bayesian Calibration of a Crystal Plasticity Model Using HEDM Measurements
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Parameter Exploration and Validation of a Phase Transformation Plasticity Coupled Shape Memory Alloy Material Model
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Qualification and Applicability of Fatigue Models for Aeroengine Components
Quantification of crystal plasticity model uncertainty in the prediction of Ti-7Al mechanical properties
Quantifying the Effects of Missing Grains and Stitching in ff-HEDM Measurements Using Crystal Plasticity and Machine Learning
Quantifying the Relative Roles of Defects and Microstructure in Deformation of Additively Manufactured Metals
Quantitative approaches to incorporating in situ and postmortem stress fields from HR-EBSD into material models
Serial Sectioning for Ground Truth Validation of Tomographic X-ray Characterization of Grain and Pore Microstructures
Substructure-Sensitive Crystal Plasticity Modelling: Bridging FCC and BCC Mesoscale responses
Toward quantification of risk of adoption of metal additive manufacturing
UQ- informed ICME framework for multi-scale modeling to accelerate qualification of AM materials
Use of Full-Field 2D Deformation Maps for Model Parameterization and Associated Uncertainties
Validating Full Field Crystal Plasticity Simulations
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Verification of FFT-Based Solvers for Computational Mechanics
V&V efforts in Damage Tolerance Modeling
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