A material/element-defined time integration procedure for dynamic analysis
Engineering with Computers, ISSN: 1435-5663, Vol: 40, Issue: 3, Page: 1575-1601
2024
- 2Citations
- 2Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In this paper, an effective and highly versatile locally-defined time-marching procedure is proposed for dynamic analysis. In this novel technique, the time integration parameters of the method are specified at an element level, adapting themselves to the features of the adopted discretization and to the local proprieties of the model. In this sense, the errors of the co-applied spatial discretization method may be properly counterbalanced by the calculations of the proposed time integration procedure, providing considerably more accurate results. Controllable numerical dissipation is also enabled by the novel approach, allowing the user to determine the regions of the model in which algorithmic damping is to be applied, as well as to define its intensity. Consequently, in the proposed formulation, an additional “material” parameter may be inputted for the analysis (similarly to those defining the physical properties of the model), delineating the numerical features of the considered solution procedure to be locally applied. The proposed formulation is highly accurate, efficient, and simple to implement. It also provides guaranteed stability and improved dissipative analyses, standing as a very effective time-marching technique. At the end of the paper, numerical results are presented and compared to those of standard formulations, illustrating the enhanced performance of the proposed novel procedure.
Bibliographic Details
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know