Vision-based system identification technique for building structures using a motion capture system

Byung Kwan Oh, Jin Woo Hwang, Yousok Kim, Tongjun Cho, Hyo Seon Park

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

Abstract This paper presents a new vision-based system identification (SI) technique for building structures by using a motion capture system (MCS). The MCS with outstanding capabilities for dynamic response measurements can provide gage-free measurements of vibrations through the convenient installation of multiple markers. In this technique, from the dynamic displacement responses measured by MCS, the dynamic characteristics (natural frequency, mode shape, and damping ratio) of building structures are extracted after the processes of converting the displacement from MCS to acceleration and conducting SI by frequency domain decomposition. A free vibration experiment on a three-story shear frame was conducted to validate the proposed technique. The SI results from the conventional accelerometer-based method were compared with those from the proposed technique and showed good agreement, which confirms the validity and applicability of the proposed vision-based SI technique for building structures. Furthermore, SI directly employing MCS measured displacements to FDD was performed and showed identical results to those of conventional SI method.

Original languageEnglish
Article number12567
Pages (from-to)72-85
Number of pages14
JournalJournal of Sound and Vibration
Volume356
DOIs
Publication statusPublished - 2015 Nov 10

Fingerprint

system identification
Identification (control systems)
modal response
free vibration
accelerometers
dynamic response
Accelerometers
markers
dynamic characteristics
Gages
installing
Dynamic response
resonant frequencies
Natural frequencies
Damping
damping
shear
Decomposition
decomposition
conduction

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Acoustics and Ultrasonics
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Oh, Byung Kwan ; Hwang, Jin Woo ; Kim, Yousok ; Cho, Tongjun ; Park, Hyo Seon. / Vision-based system identification technique for building structures using a motion capture system. In: Journal of Sound and Vibration. 2015 ; Vol. 356. pp. 72-85.
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Vision-based system identification technique for building structures using a motion capture system. / Oh, Byung Kwan; Hwang, Jin Woo; Kim, Yousok; Cho, Tongjun; Park, Hyo Seon.

In: Journal of Sound and Vibration, Vol. 356, 12567, 10.11.2015, p. 72-85.

Research output: Contribution to journalArticle

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N2 - Abstract This paper presents a new vision-based system identification (SI) technique for building structures by using a motion capture system (MCS). The MCS with outstanding capabilities for dynamic response measurements can provide gage-free measurements of vibrations through the convenient installation of multiple markers. In this technique, from the dynamic displacement responses measured by MCS, the dynamic characteristics (natural frequency, mode shape, and damping ratio) of building structures are extracted after the processes of converting the displacement from MCS to acceleration and conducting SI by frequency domain decomposition. A free vibration experiment on a three-story shear frame was conducted to validate the proposed technique. The SI results from the conventional accelerometer-based method were compared with those from the proposed technique and showed good agreement, which confirms the validity and applicability of the proposed vision-based SI technique for building structures. Furthermore, SI directly employing MCS measured displacements to FDD was performed and showed identical results to those of conventional SI method.

AB - Abstract This paper presents a new vision-based system identification (SI) technique for building structures by using a motion capture system (MCS). The MCS with outstanding capabilities for dynamic response measurements can provide gage-free measurements of vibrations through the convenient installation of multiple markers. In this technique, from the dynamic displacement responses measured by MCS, the dynamic characteristics (natural frequency, mode shape, and damping ratio) of building structures are extracted after the processes of converting the displacement from MCS to acceleration and conducting SI by frequency domain decomposition. A free vibration experiment on a three-story shear frame was conducted to validate the proposed technique. The SI results from the conventional accelerometer-based method were compared with those from the proposed technique and showed good agreement, which confirms the validity and applicability of the proposed vision-based SI technique for building structures. Furthermore, SI directly employing MCS measured displacements to FDD was performed and showed identical results to those of conventional SI method.

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