Block-Krylov component synthesis method for structural model reduction
نویسندگان
چکیده
منابع مشابه
A Rational Krylov Method for Model Order Reduction
An algorithm to compute a reduced-order model of a linear dynamic system is described. It is based on the rational Krylov method, which is an extension of the shift-and-invert Arnoldi method where several shifts (interpolation points) are used to compute an orthonormal basis for a sub-space. It is discussed how to generate a reduced-order model of a linear dynamic system, in such a way that the...
متن کاملKrylov projection framework for Fourier model reduction
This paper analyzes the Fourier model reduction (FMR) method from a rational Krylov projection framework and shows how the FMR reduced model, which has guaranteed stability and a global error bound, can be computed in a numerically efficient and robust manner. By monitoring the rank of the Krylov subspace that underlies the FMR model, the projection framework also provides an improved criterion...
متن کاملEfficient Component Mode Synthesis with a New Interface Reduction Method
When the finite element model of a complex structure is partitioned into substructures in order to enable component mode synthesis (CMS), there may be a large number of degrees of freedom (DOF) on the interface between components. In such a case, the constraint-mode-related coordinate transformation at the substructure analysis stage becomes computationally expensive, and the CMS model may be c...
متن کاملRobust and efficient Krylov subspace methods for Model Order Reduction
• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version ...
متن کاملKrylov-based minimization for optimal H2 model reduction
We present an approach to model reduction for linear dynamical systems that is numerically stable, computationally tractable even for very large order systems, produces a sequence of monotone decreasing H2 error norms, and (under modest hypotheses) is globally convergent to a reduced order model that is guaranteed to satisfy first-order optimality conditions with respect to H2 error.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Guidance, Control, and Dynamics
سال: 1988
ISSN: 0731-5090,1533-3884
DOI: 10.2514/3.20353