Skip to main content

Adaptivity with B-spline Elements

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10521))

Abstract

This paper takes a stage further the work of Kraft [1] and of Grinspun et al. [2] who used subdivision formulations to show that finite element formulation can be expressed better in terms of the basis functions used to span the space, rather than in terms of the partitioning of the domain into elements. Adaptivity is achieved not by subpartitioning the domain, but by nesting of solution spaces. This paper shows how, with B-spline elements, their approach can be further simplified: a B-spline element of any degree and in any number of dimensions can be refined independently of every other within the basis. This completely avoids the linear dependence problem, and can also give slightly more focussed adaptivity, adding extra freedom only, and exactly, where it is needed, thus reducing the solution times.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Kraft, R.: Adaptive and linearly independent multilevel B-splines. In: Le Méhauté, A., Rabut, C., Schumaker, L. (eds.) Surface Fitting and Multiresolution Methods, pp. 209–218. Vanderbilt University Press (1997)

    Google Scholar 

  2. Grinspun, E., Krysl, P., Schröder, P.: A simple framework for adaptive simulation. In: Proceedings of SIGGRAPH 2002 (ACM Transactions on Graphics), pp. 281–290 (2002)

    Google Scholar 

  3. Giannelli, C., Jüttler, B., Speleers, H.: THB-splines: the truncated basis for hierarchical splines. CAGD 29(7), 485–496 (2012)

    MathSciNet  MATH  Google Scholar 

  4. Dokken, T., Lyche, T., Pettersen, K.F.: Polynomial splines over locally refined box-partitions. CAGD 30(3), 331–356 (2013)

    MathSciNet  MATH  Google Scholar 

  5. Kosinka, J., Sabin, M.A., Dodgson, N.A.: Control vectors for splines. CAD 58, 173–178 (2015)

    Google Scholar 

  6. Johannessen, K.A., Remonato, F., Kvamsdal, T.: On the similarities and differences between classical hierarchical, truncated hierarchical and LR B-splines. CMAME 291, 64–101 (2015)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Malcolm Sabin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Sabin, M. (2017). Adaptivity with B-spline Elements. In: Floater, M., Lyche, T., Mazure, ML., Mørken, K., Schumaker, L. (eds) Mathematical Methods for Curves and Surfaces. MMCS 2016. Lecture Notes in Computer Science(), vol 10521. Springer, Cham. https://doi.org/10.1007/978-3-319-67885-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67885-6_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67884-9

  • Online ISBN: 978-3-319-67885-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics