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.
|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|
|Number of pages||9|
|Publication status||Published - 2014|
|Event||6th International ICST Conference on Ad Hoc Networks, ADHOCNETS 2014 - Rhodes, Greece|
Duration: 2014 Aug 18 → 2014 Aug 19
|Name||Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST|
|Other||6th International ICST Conference on Ad Hoc Networks, ADHOCNETS 2014|
|Period||14/8/18 → 14/8/19|
Bibliographical notePublisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications