A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system

Jun Su Park; Byung Kwan Oh; Se Woon Choi; Tongjun Cho; Yousok Kim; Hyo Seon Park

doi:10.1007/978-3-319-13329-4_19

A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system

Jun Su Park, Byung Kwan Oh, Se Woon Choi, Tongjun Cho, Yousok Kim, Hyo Seon Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Estimating the maximum stress through stress distribution of a structure is an important indicator for structural safety evaluation. Structural health monitoring can be used to do this with a variety of measuring equipment such as strain gage, LVDT, LDS. All the measuring equipment, however, has some weakness in the configuration of complex wire network and some inconvenience of replacing faulty sensors. Therefore, this paper suggests a technique that can estimate stress distribution of steel beam structure under uncertain load and support conditions by using motion capture system (MCS). MCS is a Visionbased Monitoring System, which measures 3D coordinates of multiple markers attached to the surface of steel beam without installing the complex wire network. In this study, the stress distribution is estimated from an analytic model by using displacement values measured by MCS. For the evaluation of the estimated stress distribution, comparing with the measured stress from ESG is performed.

Original language	English
Title of host publication	Ad Hoc Networks - 6th International ICST Conference, ADHOCNETS 2014, Revised Selected Papers
Editors	Natalie Mitton, Antoine Gallais, Symeon Papavassiliou, Melike Erol Kantarci
Publisher	Springer Verlag
Pages	219-227
Number of pages	9
ISBN (Electronic)	9783319133287
DOIs	https://doi.org/10.1007/978-3-319-13329-4_19
Publication status	Published - 2014
Event	6th International ICST Conference on Ad Hoc Networks, ADHOCNETS 2014 - Rhodes, Greece Duration: 2014 Aug 18 → 2014 Aug 19

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	140
ISSN (Print)	1867-8211

Other

Other	6th International ICST Conference on Ad Hoc Networks, ADHOCNETS 2014
Country/Territory	Greece
City	Rhodes
Period	14/8/18 → 14/8/19

Bibliographical note

Publisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1007/978-3-319-13329-4_19

Cite this

Park, J. S., Oh, B. K., Choi, S. W., Cho, T., Kim, Y., & Park, H. S. (2014). A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system. In N. Mitton, A. Gallais, S. Papavassiliou, & M. E. Kantarci (Eds.), Ad Hoc Networks - 6th International ICST Conference, ADHOCNETS 2014, Revised Selected Papers (pp. 219-227). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 140). Springer Verlag. https://doi.org/10.1007/978-3-319-13329-4_19

Park, Jun Su ; Oh, Byung Kwan ; Choi, Se Woon et al. / A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system. Ad Hoc Networks - 6th International ICST Conference, ADHOCNETS 2014, Revised Selected Papers. editor / Natalie Mitton ; Antoine Gallais ; Symeon Papavassiliou ; Melike Erol Kantarci. Springer Verlag, 2014. pp. 219-227 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{fd1b05abac064572b1a311704064febd,

title = "A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system",

abstract = "Estimating the maximum stress through stress distribution of a structure is an important indicator for structural safety evaluation. Structural health monitoring can be used to do this with a variety of measuring equipment such as strain gage, LVDT, LDS. All the measuring equipment, however, has some weakness in the configuration of complex wire network and some inconvenience of replacing faulty sensors. Therefore, this paper suggests a technique that can estimate stress distribution of steel beam structure under uncertain load and support conditions by using motion capture system (MCS). MCS is a Visionbased Monitoring System, which measures 3D coordinates of multiple markers attached to the surface of steel beam without installing the complex wire network. In this study, the stress distribution is estimated from an analytic model by using displacement values measured by MCS. For the evaluation of the estimated stress distribution, comparing with the measured stress from ESG is performed.",

keywords = "Maximum stress, Motion capture, Steel beam, Strain estimation, Structural health monitoring, Structural safety, Vision based monitoring",

author = "Park, {Jun Su} and Oh, {Byung Kwan} and Choi, {Se Woon} and Tongjun Cho and Yousok Kim and Park, {Hyo Seon}",

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Park, JS, Oh, BK, Choi, SW, Cho, T, Kim, Y & Park, HS 2014, A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system. in N Mitton, A Gallais, S Papavassiliou & ME Kantarci (eds), Ad Hoc Networks - 6th International ICST Conference, ADHOCNETS 2014, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 140, Springer Verlag, pp. 219-227, 6th International ICST Conference on Ad Hoc Networks, ADHOCNETS 2014, Rhodes, Greece, 14/8/18. https://doi.org/10.1007/978-3-319-13329-4_19

A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system. / Park, Jun Su; Oh, Byung Kwan; Choi, Se Woon et al.
Ad Hoc Networks - 6th International ICST Conference, ADHOCNETS 2014, Revised Selected Papers. ed. / Natalie Mitton; Antoine Gallais; Symeon Papavassiliou; Melike Erol Kantarci. Springer Verlag, 2014. p. 219-227 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 140).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system

AU - Park, Jun Su

AU - Oh, Byung Kwan

AU - Choi, Se Woon

AU - Cho, Tongjun

AU - Kim, Yousok

AU - Park, Hyo Seon

N1 - Publisher Copyright: © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.

PY - 2014

Y1 - 2014

N2 - Estimating the maximum stress through stress distribution of a structure is an important indicator for structural safety evaluation. Structural health monitoring can be used to do this with a variety of measuring equipment such as strain gage, LVDT, LDS. All the measuring equipment, however, has some weakness in the configuration of complex wire network and some inconvenience of replacing faulty sensors. Therefore, this paper suggests a technique that can estimate stress distribution of steel beam structure under uncertain load and support conditions by using motion capture system (MCS). MCS is a Visionbased Monitoring System, which measures 3D coordinates of multiple markers attached to the surface of steel beam without installing the complex wire network. In this study, the stress distribution is estimated from an analytic model by using displacement values measured by MCS. For the evaluation of the estimated stress distribution, comparing with the measured stress from ESG is performed.

AB - Estimating the maximum stress through stress distribution of a structure is an important indicator for structural safety evaluation. Structural health monitoring can be used to do this with a variety of measuring equipment such as strain gage, LVDT, LDS. All the measuring equipment, however, has some weakness in the configuration of complex wire network and some inconvenience of replacing faulty sensors. Therefore, this paper suggests a technique that can estimate stress distribution of steel beam structure under uncertain load and support conditions by using motion capture system (MCS). MCS is a Visionbased Monitoring System, which measures 3D coordinates of multiple markers attached to the surface of steel beam without installing the complex wire network. In this study, the stress distribution is estimated from an analytic model by using displacement values measured by MCS. For the evaluation of the estimated stress distribution, comparing with the measured stress from ESG is performed.

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PB - Springer Verlag

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Park JS, Oh BK, Choi SW, Cho T, Kim Y, Park HS. A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system. In Mitton N, Gallais A, Papavassiliou S, Kantarci ME, editors, Ad Hoc Networks - 6th International ICST Conference, ADHOCNETS 2014, Revised Selected Papers. Springer Verlag. 2014. p. 219-227. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-13329-4_19

A proposal of the gage-free safety assessment technique for the steel beam structure under uncertain loads and support conditions using motion capture system

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