Identification of yield drift deformations and evaluation of the degree of damage through the direct sensing of drift displacements

Ping Xiang, Akira Nishitani, Shohei Marutani, Kenzo Kodera, Tomohiko Hatada, Ryuta Katamura, Kiyoshi Kanekawa, Takashi Tanii

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    Inter-story drift displacement data can provide useful information for story damage assessment. The authors' research group has developed photonic-based sensors for the direct measurement of inter-story drift displacements. This paper proposes a scheme for evaluating the degree of damage in a building structure based on drift displacement sensing. The scheme requires only measured inter-story drift displacements without any additional finite element analysis. A method for estimating yield drift deformation is proposed, and then, the degree of beam end damage is evaluated based on the plastic deformation ratios derived with the yield drift deformation values estimated by the proposed method. The validity and effectiveness of the presented scheme are demonstrated via experimental data from a large-scale shaking table test of a one-third-scale model of an 18-story steel building structure conducted at E-Defense.

    Original languageEnglish
    Pages (from-to)2085-2102
    Number of pages18
    JournalEarthquake Engineering and Structural Dynamics
    Volume45
    Issue number13
    DOIs
    Publication statusPublished - 2016 Oct 25

    Keywords

    • degree of damage
    • E-Defense shaking table test
    • plastic deformation ratio
    • relative displacement sensor
    • residual inter-story drift
    • yield drift deformation

    ASJC Scopus subject areas

    • Geotechnical Engineering and Engineering Geology
    • Earth and Planetary Sciences (miscellaneous)

    Fingerprint Dive into the research topics of 'Identification of yield drift deformations and evaluation of the degree of damage through the direct sensing of drift displacements'. Together they form a unique fingerprint.

  • Cite this