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손정현(Jeonghyun Sohn),이승구(Seungkyu Lee) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper, a blackbox approach is carried out to model the nonlinear dynamic bushing model. A MTS 3-axes rubber test machine is used to obtain the mechanical behavior of typical vehicle elastomeric components. The radial and axial input are imposed on the bushing simultaneously to investigate the coupled effects. The results are used to develop the 2-axes neural network bushing model. A numerical example is carried out to verify the developed bushing model.
손정현(Jeonghyun Sohn),장진석(Jinseok Jang),유완석(Wansuk Yoo) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
In this paper, the feasibility and stability of offshore wind power system are investigated. Dynamic responses of offshore 2MW wind power system subjected to wind and wave load are studied. The relative Morison equation is employed to generate the wave load for the time domain simulation. ADAMS program is employed to carry out the dynamic analysis of the floating structure system subjected to the environment load. Dynamic simulation of the floating wind power system according to number of platform legs are carried out and analyzed.
손정현(Jeonghyun Sohn),박동운(Dongwoon Park),김민석(Minsuk Kim),유완석(Wansuk Yoo) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper, a blackbox approach is carried out to model the nonlinear dynamic bushing model. One-axis durability test is performed to precisely describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop an empirical bushing model with an artificial neural network. The back propagation algorithm is used to obtain the weighting factor of the neural network. Since the output for a dynamic system at any time depends on values of present and past inputs plus past outputs, Narendra algorithm of 'NARMAX' form is employed to consider these effects. A numerical example is carried out to verify the developed bushing model.