while significant advances have been made on the blast analysis, applications of nonlinear analysis of structures under explosion have been limited to the frames and structural behavior of bridges subjected to blast is an issue that has attracted attention of researchers in recent years. nonlinear dynamic analysis can be lead to the most accurate responses of the structure under blast but the u...

We present a new kind of parametric Lindenmayer-systems called nonlinear CSG-pL-Systems, which are useful for the modeling of nonlinear fractals and fractal like objects. Nonlinear CSGpL-systems describe cyclic CSG-Graphs, which can include several nonlinear transformations. To render the given objects a ray tracing algorithm is introduced, that is independent of the transformations and the und...

in this paper modeling and forecasting of revenue of taxes in fifth development plan is investigated based on a special structure of nonlinear neural networks. the time series of taxes which are studied in this research are related to total tax, direct tax, indirect tax, companies’ tax, income tax, wealth tax, and import tax. based on the correlation dimension estimation technique, the structur...

Advancements in Sugar include 1) parameterizable netlists, 2) nonlinear frequency response analysis, 3) subnets, 4) improved MNA, 5) reduced order modeling, and 6) a more accurate nonlinear beam model. Examples of these features include the simulation of a two-axis mirror with over 10,000 degrees of freedom, the reduced order modeling applied of an electrostatic gap actuator, the parameterized ...

The identification of a nonlinear continuous output-only system from a time series is considered for the case that the functional form of the model is not known beforehand. To estimate both functions and parameters, a combination of nonparametric modeling based on nonlinear regression and parametric modeling based on a multiple shooting algorithm is proposed. This strategy to determine nonlinea...