CAJ | 학술논문

建立了汽车噪声预测的统计能量分析(SEA)模型,模型共分成42个子系统.在模型的两侧创建半无限流场.规则结构的结构损耗因子和模态密度可以用解析公式计算.复杂子系统的模态密度采用有限元法计算.结构-结构之间,结构-空腔之间的耦合损耗因子采用解析公式进行计算.通过发动机悬置元件主动被动侧之间的加速度传递关系计算发动机对车身的激励力.通过声压法测量发动机的声功率作为模型中发动机声激励.利用多体动力学仿真手段计算悬架对车身的激励.运用计算流体力学的方法计算风激励.通过实验的手段测量排气噪声和轮胎噪声.运用该SEA模型对车外噪声进行了预测,车外噪声比实际测量值高1.41 dB(A),误差为1.94％.结果表明,利用SEA模型进行车外噪声预测的方法可以应用到汽车产品开发阶段.
건립료기차조성예측적통계능량분석(SEA)모형,모형공분성42개자계통.재모형적량측창건반무한류장.규칙결구적결구손모인자화모태밀도가이용해석공식계산.복잡자계통적모태밀도채용유한원법계산.결구-결구지간,결구-공강지간적우합손모인자채용해석공식진행계산.통과발동궤현치원건주동피동측지간적가속도전체관계계산발동궤대차신적격려력.통과성압법측량발동궤적성공솔작위모형중발동궤성격려.이용다체동역학방진수단계산현가대차신적격려.운용계산류체역학적방법계산풍격려.통과실험적수단측량배기조성화륜태조성.운용해SEA모형대차외조성진행료예측,차외조성비실제측량치고1.41 dB(A),오차위1.94％.결과표명,이용SEA모형진행차외조성예측적방법가이응용도기차산품개발계단.
The basic principle of statistical energy analysis is demonstrated.An automotive model was created by using statistical energy analysis (SEA) method.The SEA model is divided to 42 subsystems.The semiinfinite fluids were created on both sides of the automotive SEA model.The modal density and DLF of regular subsystems were calculated,and the modal density of the complicated subsystem was computed using finite element method.The coupling loss factors (CLF) were also calculated for structure-structure and structure-cavity coupling using analytical formulas.The engine mount excitations were calculated according to transmissibility of engine mount and the active side acceleration of engine mount.The sound excitation to engine cabin was calculated with point source formula and sound power test.Multi-body system dynamics model was created to predict excitations from front and rear suspension upper strut to body.A computational fluid dynamics (CFD)model was also created to predict wind excitation.The exhaust noise and tire noise excitations were obtained throughout experimentations.The SPL of the exterior noise was predicted with the SEA model,and was compared with the SPL measured.The prediction result shows that the prediction SPL is 1.41 dB larger than the measured value,and the error is 1.94％.Meanwhile,the car exterior noise prediction of SEA model can meet the demand of exterior noise prediction at the design stage of product development.