Downloads provided by UsageCounts
The computational efficiency of an enhanced version of a pseudo-arclength pathfollowing scheme tailored for general multi-degree-of-freedom (multi-dof) nonlinear dynamical systems is discussed. The pathfollowing approach is based on the numerical computation of the Poincaré map and its Jacobian in order to tackle nonautonomous systems with discontinuous vector fields. The scheme is applied to obtain frequency response curves of multi-dof hysteretic systems with a state vector size up to 120, as well as various reduced-order models of single and multiple cantilever beams on a shuttle mass. The proposed approach is shown to drastically increase the speed of convergence in the modified Newton-Raphson scheme thanks to a Krylov sub-space iteration which makes use of the LU decomposition of a frozen Jacobian matrix, which, upon convergence, becomes the monodromy matrix. If you use this software, please cite this work as: G. Formica, F. Milicchio, W. Lacarbonara, "A Krylov accelerated Newton–Raphson scheme for efficient pseudo-arclength pathfollowing", International Journal of Non-Linear Mechanics, Vol. 145.
This research was partially supported by the Italian Ministry of Education, University and Scientific Research under PRIN Grant No. 2017L7X3CS, and by the European Office of Aerospace Research and Development/Air Force Office of Scientific Research under Grant N. FA8655-20-1-7025.
iOS, Mechanical hysteresis, Krylov acceleration scheme, Pseudo-arclength pathfollowing, Smartphone, Geometric/material nonlinearities, Tablet, C++, Modified Newton-Raphson
iOS, Mechanical hysteresis, Krylov acceleration scheme, Pseudo-arclength pathfollowing, Smartphone, Geometric/material nonlinearities, Tablet, C++, Modified Newton-Raphson
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 47 | |
| downloads | 13 |

Views provided by UsageCounts
Downloads provided by UsageCounts