Language: English - ISBN-10: 1849969248 - ISBN-13: 978-1849969246 ...
Despite the continued rapid advance in
computing speed and memory the increase in the complexity of models used
by engineers persists in outpacing them. Even where there is access to
the latest hardware, simulations are often extremely computationally
intensive and time-consuming when full-blown models are under
consideration. The need to reduce the computational cost involved
when dealing with high-order/many-degree-of-freedom models can be
offset by adroit computation. In this light, model-reduction methods
have become a major goal of simulation and modeling research. Model
reduction can also ameliorate problems in the correlation of widely used
finite-element analyses and test analysis models produced by excessive
system complexity.
Model Order Reduction Techniques explains and compares such methods focusing mainly on recent work in dynamic condensation techniques: Compares the effectiveness of static, exact, dynamic, SEREP and iterative-dynamic condensation techniques in producing valid reduced-order models; Shows how frequency shifting and the number of degrees of freedom affect the desirability and accuracy of using dynamic condensation; Answers the challenges involved in dealing with undamped and non-classically damped models; Requires little more than first-engineering-degree mathematics and highlights important points with instructive examples. Academics working in research on structural dynamics, MEMS, vibration, finite elements and other computational methods in mechanical, aerospace and structural engineering will find Model Order Reduction Techniques of great interest while it is also an excellent resource for researchers working on commercial finite-element-related software such as ANSYS and Nastran.
Model Order Reduction Techniques explains and compares such methods focusing mainly on recent work in dynamic condensation techniques: Compares the effectiveness of static, exact, dynamic, SEREP and iterative-dynamic condensation techniques in producing valid reduced-order models; Shows how frequency shifting and the number of degrees of freedom affect the desirability and accuracy of using dynamic condensation; Answers the challenges involved in dealing with undamped and non-classically damped models; Requires little more than first-engineering-degree mathematics and highlights important points with instructive examples. Academics working in research on structural dynamics, MEMS, vibration, finite elements and other computational methods in mechanical, aerospace and structural engineering will find Model Order Reduction Techniques of great interest while it is also an excellent resource for researchers working on commercial finite-element-related software such as ANSYS and Nastran.