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Tensor-Decomposition-Based Inverse Characterization of Flow Stress for Very-high Strain-rate Impact
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DOI:10.1016/j.ijimpeng.2026.105863.png)
Abstract
En 中文
• A hybrid experimental-numerical framework proposed to calibrate dynamic flow-stress model in very-high strain-rate regime. • SHPB data and nonnegative-constrained rank-2 canonical polyadic decomposition are used to identify strain, strain-rate and temperature modes, which can be applied to higher strain-rates. • Taylor-Hopkinson testing data and FE numerical simulations are used to inversely calibrate dynamic flow-stress model parameters at higher strain-rates.
Keywords:
Strain-rate effect
Taylor-Hopkinson test
Non-negative CP tensor decomposition
Inverse characterization of flow stress
Journal
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4.9K
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