A parallel approach of the enhanced craig–bampton method

Petr Pařík, Jin Gyun Kim, Martin Isoz, Chang Uk Ahn

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The enhanced Craig–Bampton (ECB) method is a novel extension of the original Craig– Bampton (CB) method, which has been widely used for component mode synthesis (CMS). The ECB method, using residual modal compensation that is neglected in the CB method, provides dramatic accuracy improvement of reduced matrices without an increasing number of eigenbasis. However, it also needs additional computational requirements to treat the residual flexibility. In this paper, an efficient parallelization of the ECB method is presented to handle this issue and accelerate the applicability for large-scale structural vibration problems. A new ECB formulation within a sub-structuring strategy is derived to achieve better scalability. The parallel implementation is based on OpenMP parallel architecture. METIS graph partitioning and Linear Algebra Package (LAPACK) are used to automated algebraic partitioning and computational linear algebra, respectively. Numerical examples are presented to evaluate the accuracy, scalability, and capability of the proposed parallel ECB method. Consequently, based on this work, one can expect effective computation of the ECB method as well as accuracy improvement.

Original languageEnglish
Article number3278
Issue number24
Publication statusPublished - 1 Dec 2021


  • Component mode synthesis
  • Model reduction
  • Parallel computation
  • Primal assembly
  • Structural dynamics


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