When designing and optimizing the hull of vehicles,their sound quality needs to be considered,which greatly depends on the psychoacoustic parameters.However,the traditional psychoacoustic calculation method does not c...When designing and optimizing the hull of vehicles,their sound quality needs to be considered,which greatly depends on the psychoacoustic parameters.However,the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure,even the loudness which is most related to the auditory periphery.In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality,this paper first carried out the vehicle internal noise test to obtain the experimental samples.Then,the physiological loudness was predicted based on an established human ear physiological model,and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters.Finally,the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network.The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.展开更多
The presence of water films on a runway surface presents a risk to the landing of aircraft.The tire of the aircraft is separated from the runway due to a hydrodynamic force exerted through the water film,a phenomenon ...The presence of water films on a runway surface presents a risk to the landing of aircraft.The tire of the aircraft is separated from the runway due to a hydrodynamic force exerted through the water film,a phenomenon called hydroplaning.Although a lot of numerical investigations into hydroplaning have been conducted,only a few have considered the impact of the runway permeability.Hence,computational problems,such as excessive distortion and computing efficiency decay,may arise with such numerical models when dealing with the thin water film.This paper presents a numerical model comprising of the tire,water film,and the interaction with the runway,applying a mathematical model using the smoothed particle hydrodynamics and finite element(SPH-FE)algorithm.The material properties and geometric features of the tire model were included in the model framework and water film thicknesses from 0.75 mm to 7.5 mm were used in the numerical simulation.Furthermore,this work investigated the impacts of both surface texture and the runway permeability.The interaction between tire rubber and the rough runway was analyzed in terms of frictional force between the two bodies.The SPH-FE model was validated with an empirical equation proposed by the National Aeronautics and Space Administration(NASA).Then the computational efficiency of the model was compared with the traditional coupled Eulerian-Lagrangian(CEL)algorithm.Based on the SPH-FE model,four types of the runway(Flat,SMA-13,AC-13,and OGFC-13)were discussed.The simulation of the asphalt runway shows that the SMA-13,AC-13,and OGFC-13 do not present a hydroplaning risk when the runway permeability coefficient exceeds 6%.展开更多
基金supported by the National Natural Science Foundation of China(Nos.52275296,52172371,and 52274162)the Top-Notch Academic Programs Project of Jiangsu Higher Education Institutions,the Priority Academic Program Development of Jiangsu Higher Education Institutions,and Jiangsu Provincial Postgraduate Practice Innovation Plan(No.SJCX23_1283).
文摘When designing and optimizing the hull of vehicles,their sound quality needs to be considered,which greatly depends on the psychoacoustic parameters.However,the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure,even the loudness which is most related to the auditory periphery.In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality,this paper first carried out the vehicle internal noise test to obtain the experimental samples.Then,the physiological loudness was predicted based on an established human ear physiological model,and the noise evaluation vector was constructed by combining the remaining four psychoacoustic parameters.Finally,the evaluation vector was fitted into the subjective evaluation results of vehicle interior noise by a deep neural network.The results show that our proposed method can estimate the human subjective perception of vehicle interior noise well.
基金The work described in this paper is supported by the National Natural Science Foundation of China(Grant Nos.52278455 and 52311530685)the Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission(21SG24)+1 种基金the International Cooperation Project of Science and Technology Commission of Shanghai Municipality(No.22210710700)the Fundamental Research Funds for the Central Universities.
文摘The presence of water films on a runway surface presents a risk to the landing of aircraft.The tire of the aircraft is separated from the runway due to a hydrodynamic force exerted through the water film,a phenomenon called hydroplaning.Although a lot of numerical investigations into hydroplaning have been conducted,only a few have considered the impact of the runway permeability.Hence,computational problems,such as excessive distortion and computing efficiency decay,may arise with such numerical models when dealing with the thin water film.This paper presents a numerical model comprising of the tire,water film,and the interaction with the runway,applying a mathematical model using the smoothed particle hydrodynamics and finite element(SPH-FE)algorithm.The material properties and geometric features of the tire model were included in the model framework and water film thicknesses from 0.75 mm to 7.5 mm were used in the numerical simulation.Furthermore,this work investigated the impacts of both surface texture and the runway permeability.The interaction between tire rubber and the rough runway was analyzed in terms of frictional force between the two bodies.The SPH-FE model was validated with an empirical equation proposed by the National Aeronautics and Space Administration(NASA).Then the computational efficiency of the model was compared with the traditional coupled Eulerian-Lagrangian(CEL)algorithm.Based on the SPH-FE model,four types of the runway(Flat,SMA-13,AC-13,and OGFC-13)were discussed.The simulation of the asphalt runway shows that the SMA-13,AC-13,and OGFC-13 do not present a hydroplaning risk when the runway permeability coefficient exceeds 6%.
