Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- ISBN-10
- ISSN
- EISSN
- Issue
- Journal Volume Number
- References
- Conference Volume Title
- Paper No
NARROW
Date
Availability
1-20 of 17480
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Article Type: Research-Article
J. Comput. Nonlinear Dynam. May 2023, 18(5): 051001.
Paper No: CND-22-1240
Published Online: March 20, 2023
Journal Articles
Article Type: Research-Article
J. Comput. Nonlinear Dynam. May 2023, 18(5): 051002.
Paper No: CND-22-1256
Published Online: March 20, 2023
Journal Articles
Article Type: Research-Article
J. Comput. Nonlinear Dynam. May 2023, 18(5): 051003.
Paper No: CND-22-1325
Published Online: March 20, 2023
Image
in Define the Lyapunov Exponents for ψ -Fractional Differential System
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 1 Largest Lyapunov exponent and phase portraits of system (31) , for α = 0.98 , ρ = 1 2 , t ∈ [ 1 , 60 ] , p = 10, q = 123, r = 8 3 , ( x 1 ( 1 ) , x 2 ( 1 ) , x 3 ( 1 ) ) T = ( 5 , ... More
Image
in Define the Lyapunov Exponents for ψ -Fractional Differential System
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 2 Largest Lyapunov exponent and phase portraits of system (31) , for α = 0.98 , ρ = 4, t ∈ [ 1 , 2 ] , p = 10, q = 123, r = 8 3 , ( x 1 ( 1 ) , x 2 ( 1 ) , x 3 ( 1 ) ) T = ( 5 , 3 , 9 ) T... More
Image
in Define the Lyapunov Exponents for ψ -Fractional Differential System
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 3 Largest Lyapunov exponent and phase portraits of system (33) , for α = 0.98 , ρ = 2, t ∈ [ 1 , 3 ] , p = 10, q = 125, r = 8 3 , ( x 1 ( 1 ) , x 2 ( 1 ) , x 3 ( 1 ) ) T = ( 5 , 3 , 9 ) T... More
Image
in Define the Lyapunov Exponents for ψ -Fractional Differential System
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 4 Largest Lyapunov exponent and phase portraits of system (33) , for α = 0.98 , ρ = 10, t ∈ [ 1 , 1.5 ] , p = 10, q = 125, r = 8 3 , ( x 1 ( 1 ) , x 2 ( 1 ) , x 3 ( 1 ) ) T = ( 5 , 3 , 9 ) ... More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 1 A cantilever beam More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 2 Zero-crossing of χ ˙ at any particular Gauss point within a time-step. For details on associated quantities shown, see the main text. More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 3 Tip displacement for γ h = 3000 and n h = 0.5 shows an approximate equivalent damping of about 1.6%, as per Eq. (19) . Here 10 beam elements were used, with three hysteresis Gauss points per element. Time integration was done using matlab 's ode15 s with error ... More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 4 The long term oscillation in the beam tip response shows very slow power law decay when n h = 1 2 . A small portion of the solution is shown zoomed within the left subplot. The aim of this simulation is to show that the model and numerical integration method together reta... More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 5 ( a ) Variation of T min with n e and ( b ) Frequency content of the transient tip displacement response when the first three modes are disturbed in a uniform FE model with 100 elements with n h = 0.5 More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 6 Tip displacement response calculated using different time steps (compared to ode15 s ) with n h = 0.5 More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 7 Time step versus RMS error (128 equispaced points in time) for n e = 10 and 30 with n h = 0.5 More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 8 Hysteresis loop for the z 1 driven by χ 1 (at Gauss point “1” near the fixed end) More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 9 Error at t = 1, for FE models with 10 and 30 elements with n h = 0.5 More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 10 Tip displacement for γ h = 0.3 and n h = 1.5 shows an approximate equivalent damping of about 1.5%, as per Eq. (19) . Here 10 beam elements were used, with 3 hysteresis Gauss points per element. Time integration was done using Matlab's ode15 s with error tolera... More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 11 Time step versus RMS error (128 equispaced points in time) for n e = 10 and 30 with n h = 1.5 . The linear fit for 10 elements has slope 2.0. The linear fit for 30 elements has slope 1.9; another line with slope 2 is shown for comparison. More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 12 Comparison between ROM and full model, for two cases (see text for details). Tip displacements (left) and hysteresis curve (right). In subplots (b) and (d), the retained hysteresis Gauss point closest to the fixed end of the beam has been selected for display. More
Image
in Semi-Implicit Integration and Data-Driven Model Order Reduction in Structural Dynamics With Hysteresis
> Journal of Computational and Nonlinear Dynamics
Published Online: March 20, 2023
Fig. 13 Error convergence of ROM with increasing number of Gauss points retained. For comparison, if y tip ( ROM ) ( m ) ( t ) is set identically to zero, the error measure obtained is 0.006 for both models. Thus, for reasonable accuracy, m ≥ 50 may be needed. More