Computational modelling and prediction of elasto-plastic constitutive behaviour of damaged polymeric structure under high-strain loadings

Kumar, Vikash; Gangwar, Ankit; Pattanayak, Pritam; Panda, Subrata Kumar; Pandey, Harsh Kumar

doi:10.1007/s00339-023-07129-4

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Various experimental systems, including the Torsional split-Hopkinson bar (TSHB) [34], Charpy pendulum, drop weight, hydraulic servo machine, and plane impact testing, have been employed by researchers to characterize materials across different loading rates [35,36]. To explore the impact of powder compaction speed on final density of Mg samples, the compaction process was conducted at three different compaction speeds, i.e., 15.5 m s −1 (using a Hopkinson bar), 8 m s −1 (using a drop weight), and 1 mm min −1 (using an Instron machine).…”

Section: Influence Of Compaction Speed (Strain Rate) On Properties Of...mentioning

confidence: 99%

Determining the Drucker-Prager Cap model constants using experimental, numerical and optimization for compacted Mg powders at different strain rates

Rahmani,

Bakhtiari,

Malekmohammadi

et al. 2024

Phys. Scr.

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This article investigates an inverse approach to determine the coefficients of the Drucker-Prager model for magnesium powder. The approach involves conducting finite element simulations of the powder compression process within LS-DYNA software, employing the Drucker-Prager material model. The goal is to minimize the disparity between force-displacement outcomes derived from simulations and experimental data using a surrogate optimization method. Experimental data were obtained through a uniaxial compression test and served as a basis for adjusting the Cap model coefficients. A random selection of coefficients was made using the Latin cube method and simulations were performed based on the initial coefficients. The optimization was then performed using the particle swarm algorithm over 20 iterations. The optimized coefficients were validated against experimental data, demonstrating close agreement. By utilizing the extracted coefficients, the relative density of the samples was calculated at three different compaction speeds, i.e., 15.5 m/s (using a Hopkinson bar), 8 m/s (using a drop weight), and 1 mm/min (using an Instron machine). The analysis revealed the highest relative density and stress in the densified sample via the Hopkinson bar method, reaching 99.83% and 1.1 GPa, respectively.

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Section: Influence Of Compaction Speed (Strain Rate) On Properties Of...mentioning

confidence: 99%

Determining the Drucker-Prager Cap model constants using experimental, numerical and optimization for compacted Mg powders at different strain rates

Rahmani,

Bakhtiari,

Malekmohammadi

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

Computational modelling and prediction of nonlinear deflection responses of bonded joint component with multiple damage (crack and delamination) – An experimental validation

Akkasali,

Biswas,

Panda

2024

Structures

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Computational modelling and prediction of elasto-plastic constitutive behaviour of damaged polymeric structure under high-strain loadings

Cited by 2 publications

References 43 publications

Determining the Drucker-Prager Cap model constants using experimental, numerical and optimization for compacted Mg powders at different strain rates

Determining the Drucker-Prager Cap model constants using experimental, numerical and optimization for compacted Mg powders at different strain rates

Computational modelling and prediction of nonlinear deflection responses of bonded joint component with multiple damage (crack and delamination) – An experimental validation

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