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Abaqus Inc abaqus fea simulation
Abaqus Fea Simulation, supplied by Abaqus Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: FEA-Based Stress-Strain Barometers as Forecasters for Corneal Refractive Power Change in Orthokeratology.
Article Snippet: Modelling Results Exportation Methodology The results from the Abaqus FEA simulations were exported up to 20 decimals via custom-built Python general-purpose programming language scripts triggered by MATLAB.

Article Title: Mechanical strain-sensing implicated in cell shape recovery in Escherichia coli
Article Snippet: Supplementary Figures b a bending force clamped ends fixed mandrel cross-section at which stresses are extracted σ yy σ xx high low –0.5 0.5 1.5 θ π 2π 1 –1 0 p = 0.001 v = 0.2 p = 0.001 v = 0.33 p = 0.005 v = 0.2 p = 0.005 v = 0.33 theory –1.5 θ π 2π –0.01 0.01 0.03 0.02 –0.02 0 –0.03 (δ σ ) / (Y B) xx δσ yy p = 0.001 v = 0.2 p = 0.001 v = 0.33 p = 0.005 v = 0.2 p = 0.005 v = 0.33 theory Supplementary Figure 1: Stress profiles of pressurized cylindrical shells subject to bending moments. a, Abaqus FEA simulations of a pressurized cylindrical shell subjected to a bending force against a fixed mandrel. b, Plots of the stress resultants for typical cross-sections indicated in a for varying values of p and ν.

Article Title: Mechanical strain-sensing implicated in cell shape recovery in Escherichia coli
Article Snippet: We interpret the small variations in the simulated σyy profiles to arise from a small eccentricity induced by bending, which is quantitatively consistent with equation (S8) (not shown). a b c 0.98 1.00 1.02 θ π 2π σ yy σ xx (σ ) / < σ > yy yy (σ ) / < σ > xx xx c = 0.1 c = 0.01 1.01 0.97 0.99 p = 0.001 v = 0.2 p = 0.001 v = 0.5 p = 0.001 v = 0.33 p = 0.005 v = 0.2 p = 0.005 v = 0.5 p = 0.005 v = 0.33 p = 0.0066 v = 0.5 p = 0.0066 v = 0.33 linear theory 0.94 1.06 θ π 2π 1.03 0.91 0.97 p = 0.001 v = 0.2 p = 0.001 v = 0.5 p = 0.001 v = 0.33 p = 0.005 v = 0.2 p = 0.005 v = 0.5 p = 0.005 v = 0.33 p = 0.0066 v = 0.5 p = 0.0066 v = 0.33 linear theory 1.09 0.96 θ π 2π (σ ) / < σ > yy yy (σ ) / < σ > xx xx p = 0.001 v = 0.2 p = 0.001 v = 0.5 p = 0.001 v = 0.33 p = 0.005 v = 0.2 p = 0.005 v = 0.5 p = 0.005 v = 0.33 p = 0.0066 v = 0.5 p = 0.0066 v = 0.33 linear theory 0.994 1.000 1.006 θ π 2π 1.003 0.991 0.997 p = 0.001 v = 0.2 p = 0.001 v = 0.5 p = 0.001 v = 0.33 p = 0.005 v = 0.2 p = 0.005 v = 0.5 p = 0.005 v = 0.33 p = 0.0066 v = 0.5 p = 0.0066 v = 0.33 linear theory 1.009 1.000 1.003 0.997 1.001 1.002 0.998 0.999 1.00 high low A p Supplementary Figure 2: Stress profiles of closed toroidal shells subject to internal pressure. a, A toroidal section with a circular cross-section at equilibrium cannot have a nonvanishing torque due to pressure. b, Abaqus FEA simulations for the equilibrium of an initially circular toroidal segment subject to internal pressure, where the axial and circumferential stress resultants σxx and σyy are displayed.

Article Title: Experimental characterization and constitutive modeling of an aluminum 7085-T711 alloy under large deformations at varying strain rates, stress states, and temperatures
Article Snippet: The strain rate, stress state, and temperature dependent mechanical behavior of a hot rolled aluminum 7085-T711 alloy is experimentally observed and subsequently modeled using a continuum Internal State Variable (ISV) plasticity-damage constitutive model. Structure-property relationships for the alloy are quantified using a series of microstructural analyses and mechanical property experiments.. The calibrated ISV model for the Al 7085T711 alloy is implemented in an implicit finite element code (Abaqus) to simulate the deformation of notch Bridgman tension specimens at a variety of stress states and temperatures.. The ISV model accurately captures the material’s elastoplastic behavior by predicting the stress state difference between tension, compression, and torsion and temperature dependent microstructure evolution under large deformations.

Article Title: Synthetic control of actin polymerization and symmetry breaking in active protocells
Article Snippet: Fig. 4d of the main text shows the result of Abaqus FEA simulations for strains of the order of∼0.1 and actin caps with different polymerized subtended angles, φ0.

Article Title: Mechanical strain-sensing implicated in cell shape recovery in Escherichia coli
Article Snippet: Because a formal, shell-theoretic solution of the equilibrium state is difficult, we determined the equilibrium stress profile numerically with Abaqus FEA simulations (Supplementary Fig. 3).

Article Title: Mechanical strain-sensing implicated in cell shape recovery in Escherichia coli
Article Snippet: Nevertheless, the stress resultants remain well-approximated by the linear theory result for a pressurized torus of circular cross-section. a b σ yy σ xx Y+ Y– deformed θ π 2π (σ ) / < σ > yy yy θ π 2π (σ ) / < σ > xx xx undeformed Y+ Y– Y+ Y– high low in-plane stresses p = 0.001 d = 0.1 v = 0.2 p = 0.001 d = 0.1 v = 0.33 p = 0.0033 d = 0.1 v = 0.2 p = 0.0033 d = 0.1 v = 0.33 p = 0.001 d = 0.5 v = 0.2 p = 0.001 d = 0.5 v = 0.33 p = 0.0033 d = 0.5 v = 0.2 p = 0.0033 d = 0.5 v = 0.33 p = 0.001 d = 0.6 v = 0.2 p = 0.001 d = 0.6 v = 0.33 p = 0.0033 d = 0.6 v = 0.2 p = 0.0033 d = 0.6 v = 0.33 1.0 1.2 1.1 1.3 1.4 0.9 0.8 0.8 1.0 0.9 1.1 1.2 0.7 0.6 p = 0.001 d = 0.1 v = 0.2 p = 0.001 d = 0.1 v = 0.33 p = 0.0033 d = 0.1 v = 0.2 p = 0.0033 d = 0.1 v = 0.33 p = 0.001 d = 0.5 v = 0.2 p = 0.001 d = 0.5 v = 0.33 p = 0.0033 d = 0.5 v = 0.2 p = 0.0033 d = 0.5 v = 0.33 p = 0.001 d = 0.6 v = 0.2 p = 0.001 d = 0.6 v = 0.33 p = 0.0033 d = 0.6 v = 0.2 p = 0.0033 d = 0.6 v = 0.33 Supplementary Figure 3: Finite-element simulations of shells with varying elastic moduli. a, Abaqus FEA simulations of a capped, pressurized cylindrical shell with a sinusoidally varying elastic modulus of the form Y (θ) = Y (1 + d sin θ).



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( A and B ) <t>FEA</t> <t>simulation</t> of self-spinning behavior around the central pivot (A) and self-turning behavior during rolling [(B), i to iii] in the twisted LCE ribbon on a frictional surface due to temperature increase–induced untwisting. When untwisting stops, the rolling ribbon follows a linear motion [iii and iv in (B)]. ( C and D ) Theoretical analysis on the effect of helical to twisted segment length ratio c in the hybrid ribbon on steady-state self-turning behavior in the hybrid ribbon. The comparison between analytical modeling and experiments on turning angle change dϕ/d X as a function of ratio c (C). (D) The predicted steady-state trajectories of the hybrid ribbons with different ratio c .
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( A and B ) FEA simulation of self-spinning behavior around the central pivot (A) and self-turning behavior during rolling [(B), i to iii] in the twisted LCE ribbon on a frictional surface due to temperature increase–induced untwisting. When untwisting stops, the rolling ribbon follows a linear motion [iii and iv in (B)]. ( C and D ) Theoretical analysis on the effect of helical to twisted segment length ratio c in the hybrid ribbon on steady-state self-turning behavior in the hybrid ribbon. The comparison between analytical modeling and experiments on turning angle change dϕ/d X as a function of ratio c (C). (D) The predicted steady-state trajectories of the hybrid ribbons with different ratio c .

Journal: Science Advances

Article Title: Physically intelligent autonomous soft robotic maze escaper

doi: 10.1126/sciadv.adi3254

Figure Lengend Snippet: ( A and B ) FEA simulation of self-spinning behavior around the central pivot (A) and self-turning behavior during rolling [(B), i to iii] in the twisted LCE ribbon on a frictional surface due to temperature increase–induced untwisting. When untwisting stops, the rolling ribbon follows a linear motion [iii and iv in (B)]. ( C and D ) Theoretical analysis on the effect of helical to twisted segment length ratio c in the hybrid ribbon on steady-state self-turning behavior in the hybrid ribbon. The comparison between analytical modeling and experiments on turning angle change dϕ/d X as a function of ratio c (C). (D) The predicted steady-state trajectories of the hybrid ribbons with different ratio c .

Article Snippet: FEA simulation was performed with commercial software Abaqus/Explicit.

Techniques: Comparison