Read e-book online Adaptive Hierarchical Isogeometric Finite Element Methods PDF

By Anh-Vu Vuong

ISBN-10: 3834824445

ISBN-13: 9783834824448

ISBN-10: 3834824453

ISBN-13: 9783834824455

​Isogeometric finite components mix the numerical answer of partial differential equations and the outline of the computational area given by means of rational splines from machine aided geometric layout. This paintings supplies a well-founded advent to this subject after which extends isogeometric finite parts by way of an area refinement method, that is crucial for an effective adaptive simulation. Thereby a hierarchical process is tailored to the numerical standards and the correct theoretical homes of the root are ensured. The computational effects recommend the elevated potency and the potential for this neighborhood refinement method.

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Moreover, the assumptions on the function spaces may be too strict and especially the solution may not be smooth enough to belong to H k+1 (Ω). All in all the exact solution is not known and the estimate is not computable. A Posteriori Error Analysis To avoid these drawbacks it is necessary to switch to a posteriori error analysis. The idea is to take into account more information and in particular the numerical approximation itself. 80) which is unfortunately not available, in a specified norm, with the given numerical approximation uh and the load and the boundary data.

3) at the corners of the parametric domain. Later on, we will make use of this for the implementation in Sec. 6. The influence of the basis functions is not limited to these points and will be discussed further in the next sections. At this point we make a remark about the indices of the basis functions. We will use to different ways to enumerate tensor product B-splines or NURBS for sake of readability. g. Nij , i = 0, . . , nu , j = 0, . . 5) Nk , k = 1, . . 6) • a single index if we want to emphasize that there is only one set of basis functions.

Be found in [5]. 2 Assembly of System Matrices The computation of the stiffness matrix and the load vector in Eq. 55) — also known as assembly — is an essential algorithmic aspect of FEM. In general it is also the most time consuming part of the simulation program besides the solution of the system of linear equations. 94) Tk and the load vector as f ϕj dx = bj = Ω f ϕj dx. 95) Ti In the following we will omit the load vector, because its assembly is straightforward compared to the assembly of the stiffness matrix and can be done analogously.

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Adaptive Hierarchical Isogeometric Finite Element Methods by Anh-Vu Vuong

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