2002 Fiscal Year Final Research Report Summary
Development of Experimental Identification Techniques in Time Domain for Boundary Conditions and Joint Conditions of structures
Project/Area Number |
13650248
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Dynamics/Control
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Research Institution | Nagoya University |
Principal Investigator |
YASUDA Kimihiko Nagoya University, Graduate School of Engineering, Professor, 工学研究科, 教授 (70023166)
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Co-Investigator(Kenkyū-buntansha) |
KAMIYA Keisuke Nagoya University, Graduate School of Engineering, Assistant Professor, 工学研究科, 講師 (50242821)
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Project Period (FY) |
2001 – 2002
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Keywords | Experimental identification / Boundary conditions / Joint conditions / Dynamical response / Nonlinear vibration / Time series data |
Research Abstract |
One of the most difficult problems in the field of experimental indentification is to determine the boundary conditions and joint conditions of machines and structures. To predict their behavior, numerical methods such as the finite element method are widely used. To get accurate results, accurate description of the boundary conditions and joint conditions is essential. Thus development of identification techniques of boundary conditions and joint conditions is of great importance. In this study, we aimed to develop general-purpose identification techniques. As a first step, we developed in 2001, a technique for nonlinear boundary conditions of a beam. This technique is based on the harmonic balance, and hence uses steady-state response to a periodic excitation. We confirmed the applicability of the proposed technique by numerical simulation and experiment. Then we generalized the technique so that it can be applied to two-dimensional problems. We developed, as a typical example, a technique applicable to a non-axisymmetric circular plate, and confirmed the applicability by numerical simulation. Then, as our final purpose, we developed in 2002, a technique that uses time series data. Use of time series data reduces limitations on the type of excitations as well as the responses data, as compared with the above technique. As a typical example, we proposed a technique that is applicable to a beam. We confirmed the applicability by numerical simulation.
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Research Products
(10 results)