Digital Image Correlation (DIC); Full-field measurements; Jointed structures; Modal interactions; Nonlinear system identification; Nonlinear system testing; Correlation data; Digital image correlation; Digital image correlations; Field data; Full-field measurement; Jointed structure; Non-linear system identification; System testing; Control and Systems Engineering; Signal Processing; Civil and Structural Engineering; Aerospace Engineering; Mechanical Engineering; Computer Science Applications
Abstract :
[en] Jointed structures are ubiquitous constituents of engineering systems; however, their dynamic properties (e.g., natural frequencies and damping ratios) are challenging to identify correctly due to the complex, nonlinear nature of interfaces. This research seeks to extend the efficacy of traditional experimental methods for linear system identification (such as impact testing, shaker ringdown testing, random excitation, and force or amplitude-control stepped sine testing) on nonlinear jointed systems, e.g., the half Brake–Reußbeam, by augmenting them with full-field data collected by high-speed videography. The full-field response is acquired using high-speed cameras combined with Digital Image Correlation (DIC), which enables studying the spatial–temporal dynamic characteristics of the system. As this is a video-based experiment, additional constraints are attached to the beam at the node points to remove the rigid body motion, which ensures that the beam is in the view of the camera during the entire test. The use of a video-based method introduces new sources of experimental error, such as noise from the high-speed camera's fan and electrical noise, and so the measurement accuracy of DIC is validated using accelerometer data. After validating the DIC data, the measurements are recorded for several types of excitation, including hammer testing, shaker ringdown testing, fixed sine testing, and stepped sine testing. Using the DIC data to augment standard nonlinear system identification techniques, modal coupling and the mode shapes’ evolution are investigated. The suitability of videography methods for nonlinear system identification of nonlinear beams is explored for the first time in this paper, and recommendations for techniques to facilitate this process are made. This article focuses on developing an accurate data collection methodology as well as recommendations for nonlinear testing with DIC, which paves the way for video-based investigation of nonlinear system identification. In Part-II (Jin et al., 2021) of this work, the same data set is used for a rigorous assessment of nonlinear system identification with full-field DIC data.
Chen, Wei ✱; AECC Shanghai Commercial Aircraft Engine Manufacturing Co. LTD., Shanghai, China ; School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, China
Jana, Debasish ✱; Department of Civil and Environmental Engineering, Rice University, Houston, United States
Singh, Aryan ✱; Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, United States
Jin, Mengshi ✱; AECC Shanghai Commercial Aircraft Engine Manufacturing Co. LTD., Shanghai, China ; School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, China
Cenedese, Mattia ✱; Institute for Mechanical Systems, ETH Zürich, Zürich, Switzerland
Kosova, Giancarlo ✱; Université de Liège - ULiège > Aérospatiale et Mécanique (A&M) ; Siemens Industry Software, Leuven, Belgium
Brake, Matthew R.W. ; Department of Mechanical Engineering, Rice University, Houston, United States
Schwingshackl, Christoph W. ; Imperial College London, Mechanical Engineering, London, United Kingdom
Nagarajaiah, Satish ; Department of Civil and Environmental Engineering, Rice University, Houston, United States ; Department of Mechanical Engineering, Rice University, Houston, United States
Moore, Keegan J. ; Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, United States
Noël, Jean-Philippe ; Université de Liège - ULiège > Département d'aérospatiale et mécanique ; Control Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Netherlands
✱ These authors have contributed equally to this work.
Language :
English
Title :
Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics
This work presents the results of the Tribomechadynamics Research Camp (2019) at Rice University, Houston, Texas, USA ( http://tmd.rice.edu ). The authors appreciate the chance to work together. The authors are also grateful to the SIEMENS and South Central Imaging for their sponsorship. Wei Chen and Mengshi Jin thank China Scholarship Council (CSC) for their financial support at Rice University, USA . Giancarlo Kosova has been supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 764547 . Debasish Jana and Satish Nagarajaiah acknowledge the grant from the Science and Engineering Research Board of India (SERB) .This work presents the results of the Tribomechadynamics Research Camp (2019) at Rice University, Houston, Texas, USA (http://tmd.rice.edu). The authors appreciate the chance to work together. The authors are also grateful to the SIEMENS and South Central Imaging for their sponsorship. Wei Chen and Mengshi Jin thank China Scholarship Council (CSC) for their financial support at Rice University, USA. Giancarlo Kosova has been supported by the European Union's Horizon 2020 research and innovation program under the Marie Sk?odowska-Curie grant agreement No 764547. Debasish Jana and Satish Nagarajaiah acknowledge the grant from the Science and Engineering Research Board of India (SERB).
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