Abstract
The complexity, enlargement and irregularity of structures and multi-directional dynamic loads acting on the structures can lead to unexpected structural behavior,such as torsion. Continuous torsion of the structure causes unexpected changes in the structure's stress distribution, reduces the performance ofthestructural members, and shortens the structure's lifespan. Therefore, a method of monitoring the torsional behavior is required to ensure structural safety. Structural torsion typically occurs accompanied by displacement, but no model has yet been developed to measure this typeof structural response. This research proposes a model for measuring dynamic torsional response of structure accompanied by displacement and foridentifyingthetorsional modal parameter using vision-based displacement measurement equipment, a motion capture system (MCS). In the present model, dynamic torsional responses including pure rotation and translation displacements are measured and used to calculate the torsional angle anddisplacements. To apply the proposed model, vibration tests for a shear-type structure were performed. The torsional responses were obtained from measured dynamic displacements. The torsional angle and displacements obtained by the proposed model using MCS were compared with the torsional response measured using laser displacement sensors (LDSs), which have been widely used fordisplacement measurement. In addition, torsional modal parameters were obtained using the dynamic torsional angle and displacements obtained from the tests.
Original language | English |
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Pages (from-to) | 679-694 |
Number of pages | 16 |
Journal | Smart Structures and Systems |
Volume | 19 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2017 Jun |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grand funded by the Korea government (Ministry of Science, ICT & Future Planning, MSIP) (No. 2016R1A6A3A11932881).
Publisher Copyright:
Copyright © 2017 Techno-Press, Ltd.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering