Error-estimate-based adaptive integration for immersed isogeometric analysis

Sai Chandana Divi (Corresponding author), Clemens V. Verhoosel, F Auricchio, A Reali, E.H. (Harald) van Brummelen

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)


The Finite Cell Method (FCM) together with Isogeometric analysis (IGA) has been applied successfully in various problems in solid mechanics, in image-based analysis, fluid–structure interaction and in many other applications. A challenging aspect of the isogeometric finite cell method is the integration of cut cells. In particular in three-dimensional simulations the computational effort associated with integration can be the critical component of a simulation. A myriad of integration strategies has been proposed over the past years to ameliorate the difficulties associated with integration, but a general optimal integration framework that suits a broad class of engineering problems is not yet available. In this contribution we provide a thorough investigation of the accuracy and computational effort of the octree integration scheme. We quantify the contribution of the integration error using the theoretical basis provided by Strang's first lemma. Based on this study we propose an error-estimate-based adaptive integration procedure for immersed isogeometric analysis. Additionally, we present a detailed numerical investigation of the proposed optimal integration algorithm and its application to immersed isogeometric analysis using two- and three-dimensional linear elasticity problems.

Original languageEnglish
Pages (from-to)2481-2516
Number of pages36
JournalComputers and Mathematics with Applications
Issue number11
Early online date15 May 2020
Publication statusPublished - 1 Dec 2020


  • Finite cell method (FCM)
  • Immersogeometric analysis
  • Isogeometric analysis (IGA)
  • Numerical integration


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