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| موضوع: بحث بعنوان Model Updating in Structural Dynamics - a Survey السبت 20 أغسطس 2022, 8:53 am | |
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أخواني في الله أحضرت لكم بحث بعنوان Model Updating in Structural Dynamics - a Survey J. E. Mottershead Department of Mechanical Engineering, University College of Swansea, Singleton Park, Swansea SA 2 8PP, Wales AND M. I. Friswell Department of Mechanical and Electrical Engineering, Aston University, Birmingham B4 7ET, England (Received 8 September 1992, and in final form 21 May 1993)
و المحتوى كما يلي :
It is well known that finite element predictions are often called into question when they are in conflict with test results. The area known as model updating is concerned with the correction of finite element models by processing records of dynamic response from test structures. Model updating is a rapidly developing technology, and it is intended that this paper will provide an accurate review of the state of the art at the time of going to press. It is the authors’ hope that this work will prove to be of value, especially to those who are getting acquainted with the research base and aim to participate in the application of model updating in industry, where a pressing need exists. CLOSURE In this paper, a thorough description of the state of the art in finite element model updating has been provided. It is the authors’ opinion that the most promising techniques now need to be tested in an industrial environment. In the aerospace industry the need for test-verified finite element models has long been recognized. However, the approach used in practice is still based on fitting model parameters to test data by trial and error methods. In the motor industry the speed with which new models can be brought to the market has proved to be increasingly critical. A particular design obstacle is the interaction of structural vibration modes with acoustic modes in the passenger compartment. The application of model updating methods can lead to the rapid development of improved vibration and acoustic models. While successful results have been reported for many of the approaches described previously in this paper, it is vital that such approaches are capable of handling problems of industrial dimensions. The reported results are often obtained by using data from laboratory test structures to update models with no more than a few hundred degrees of freedom. Finite element models with tens, or hundreds, of thousands of degrees of freedom are commonplace in industry, and the updating of such large models now poses a major intellectual challenge to the researchers. The authors hesitate to recommend “preferred” updating approaches. However, certain directions appear to be sensible in view of the strongly under-determined nature of the updating task. The preliminary elimination, through localization, of certain members of the set of candidate updating parameters is clearly helpful. So too is the use of test data from multiple test configurations (static as well as dynamic), and regularization techniques can be used to improve the conditioning of the problem, and may result in a solution closely neighbouring a solution with physical meaning. The research conducted in these areas has, in the main, been closely coupled to the use of sensitivity based approaches. Those methods in which eigendata sensitivities are used (rather than FRF sensitivities) are particularly robust, and appear to be well suited to industrial model updating problems. It is considered that a need exists for the use of confidence levels which might be assigned to quantified mesh, or test data, uncertainties. Such confidence levels should be used together with the sensitivities at both the localization and the updating stages. At a more basic level, guidance needs to be provided in the preparation of finite element meshes for updating. In present updating procedures one assumes that the initial model is fixed with respect to the mesh configuration, boundary conditions and type of element. Methods need to be put in place which will allow the selection of a “most suitable” initial model from a set of candidates. Further work needs to be conducted on the elimination of systematic errors from both the measurements and the finite element model.
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