Drift displacement data based estimation of cumulative plastic deformation ratios for buildings

Akira Nishitani, Chisa Matsui, Yushiro Hara, Ping Xiang, Yoshihiro Nitta, Tomohiko Hatada, Ryota Katamura, Iwao Matsuya, Takashi Tanii

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    The authors' research group has developed a noncontact type of sensors which directly measure the inter-story drift displacements of a building during a seismic event. Soon after that event, such seismically-induced drift displacement data would provide structural engineers with useful information to judge how the stories have been damaged. This paper presents a scheme of estimating the story cumulative plastic deformation ratios based on such measured drift displacement information toward the building safety monitoring. The presented scheme requires the data of story drift displacements and the ground motion acceleration. The involved calculations are rather simple without any detailed information on structural elements required: the story hysteresis loops are first estimated and then the cumulative plastic deformation ratio of each story is evaluated from the estimated hysteresis. The effectiveness of the scheme is demonstrated by utilizing the data of full-scale building model experiment performed at E-defense and conducting numerical simulations.

    Original languageEnglish
    Pages (from-to)881-896
    Number of pages16
    JournalSmart Structures and Systems
    Volume15
    Issue number3
    DOIs
    Publication statusPublished - 2015 Mar 1

    Keywords

    • Cumulative plastic deformation ratio
    • E-defense
    • Hysteresis
    • Inter-story drift displacement

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Computer Science Applications

    Fingerprint Dive into the research topics of 'Drift displacement data based estimation of cumulative plastic deformation ratios for buildings'. Together they form a unique fingerprint.

  • Cite this