Multi-device and multisensory experimental modal analysis using smartphones
In this paper,a two-degree-of-freedom,small-scale laboratory models modal parameters are determined using collocated displacement and acceleration data from smartphone sensors.Vision-based sensing is adopted for displacement measurement and smartphone accelerometers are used for acceleration measurement.Displacement data is produced from accelerometer signals with the help of a double integration procedure and accelerometer data is downsampled to match the camera frames per second.In other words,invasive and noncontact methods are combined for modal analysis of the structure.Eventually,vibration data from three smartphones is combined together to compose a multi-output modal analysis platform.The results show identified modal frequencies with errors below 0.5%and mode shape values above 0.94 MAC values.The hybrid measurement system proposed in this paper is novel because of the data heterogeneity in multiple variables such as sampling rate,sensor quality,physical parameter,and measurement methods.Further advancements in clock synchronization and particularly tailored sensor applications are expected to increase the accuracy of the modal analysis results.
Experimental modal analysis Smartphone sensors Accelerometers Vision-based sensing
E.Ozer D.Feng M.Q.Feng
Civil Engineering Program,Middle East Technical University Northern Cyprus Campus,Mersin 10,Turkey Thornton Tomasetti Inc.,New York,USA Department of Civil Engineering,Columbia University,New York,USA
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
1717-1724
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）