Estimation of the Lateral Dynamic Displacement of High-Rise Buildings under Wind Load Based on Fusion of a Remote Sensing Vibrometer and an Inclinometer
Open Access
- 31 March 2020
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 12 (7), 1120
- https://doi.org/10.3390/rs12071120
Abstract
This paper proposes a novel method to estimate the lateral displacement of high-rise structures under wind loads. The coefficient β(x) is firstly derived, reflecting the relation between the structural lateral dynamic displacement and the inclination angle at the height x of a structure. If the angle is small, it is the ratio between the structural fundamental mode shape and its first-order derivative without influence of external loads. Several dynamic experiments of structures are performed based on a laser remote sensing vibrometer and an inclinometer, which shows that the fundamental mode is dominated in the structural displacement response under different types of excitations. Once the coefficient β(x) is curve-fitted by measuring both the structural lateral dynamic displacement and the inclination angle synchronously, the real-time structural lateral displacement under operational conditions is estimated by multiplying the coefficient β(x) with the inclination angle. The advantage of the proposed method is that the coefficient β(x) can be identified by lateral dynamic displacement measured in high resolution by the remote sensing vibrometer, which is useful to reconstruct the displacement accurately by the inclination angle under operational conditions.Funding Information
- National Key Research and Development Program of China (2016YFC0701102)
- National Natural Science Foundation of China (51878226)
- Guangdong Provincial Natural Science Foundation (2017A030313292)
- Shenzhen Technology Innovation Program (JCYJ20170811160003571, JCYJ20180508152238111)
This publication has 32 references indexed in Scilit:
- Wireless displacement sensing system for bridges using multi-sensor fusionSmart Materials and Structures, 2014
- Local positioning systems versus structural monitoring: a reviewStructural Control and Health Monitoring, 2014
- Autonomous dynamic displacement estimation from data fusion of acceleration and intermittent displacement measurementsMechanical Systems and Signal Processing, 2013
- Summary Review of GPS Technology for Structural Health MonitoringJournal of Structural Engineering, 2013
- Dynamic characteristics and wind-induced responses of a super-tall building during typhoonsJournal of Wind Engineering and Industrial Aerodynamics, 2013
- Development of a Wireless Displacement Measurement System Using Acceleration ResponsesSensors, 2013
- Recent research and applications of GPS-based monitoring technology for high-rise structuresStructural Control and Health Monitoring, 2012
- Local positioning accuracy of laser sensors for structural health monitoringStructural Control and Health Monitoring, 2012
- Field observations on modal properties of two tall buildings under strong windJournal of Wind Engineering and Industrial Aerodynamics, 2012
- Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoringMechanical Systems and Signal Processing, 2007