Pattern-Search-Based Algorithm for Ground-Motion Selection with Targeted Mean and Standard Deviation

Gifari Zulkarnaen, Young K. Ju

Research output: Contribution to journalArticlepeer-review


Ground-motion selection is essential as an input for dynamic structural analyses. Although recent studies have highlighted the importance of target variance as auxiliary criteria and introduced selection methods, they typically require a trade-off between computational expense and accuracy. This paper presents an efficient and accurate method for ground-motion selection and scaling that matches both the target mean and standard deviation, while using either a single-objective- or multi-objective-based pattern-search optimization technique. The selection algorithm was tested using the code-based and conditional-spectrum-based target spectrum for various design scenarios. The results indicated that the pattern-search-based selection algorithm is an optimal method as it provides the best-matching records suite with a more precise and quicker selection than other notable optimization techniques.

Original languageEnglish
Pages (from-to)1383-1397
Number of pages15
JournalInternational Journal of Steel Structures
Issue number4
Publication statusPublished - 2021 Aug

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) [Grant Numbers NRF-2020R1A2C3005687, NRF-2018R1A4A1026027]; and the Korea Agency for Infrastructure Technology Advancement (KAIA) [Grant Number 20AUDP-B100343-06].

Publisher Copyright:
© 2021, Korean Society of Steel Construction.


  • Conditional spectrum
  • Ground-motion selection
  • Multi-objective optimization
  • Pattern search
  • Response spectrum
  • Spectral matching

ASJC Scopus subject areas

  • Civil and Structural Engineering


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