| Partner: Xinhao An |
|
Ostatnie publikacje
| 1. | Zhang Q.♦, Hou J.♦, Chao L.♦, Jankowski Ł., An X.♦, Duan Z.♦, Fast calculation of vehicle-road coupled response based on moving frequency response function, ADVANCES IN STRUCTURAL ENGINEERING, ISSN: 1369-4332, DOI: 10.1177/13694332241298016, pp.1-15, 2024 Streszczenie: Vehicle–road coupled system is inherently time–varying, and its responses are traditionally calculated using time–domain methods which involves significant computational effort. Aiming to improve the efficiency of response calculation for the coupled system, this paper proposes a fast calculation method in frequency domain, based on the newly developed moving frequency response function (FRF). Firstly, considering the vibration characteristics of an infinitely long road, the road response is straightforwardly expressed using the road impulse response function (IRF). Subsequently, the concept of the road moving IRF is proposed and derived with respect to the moving observation points. The moving FRF is then obtained by applying Fourier transform, which allows the responses of the road moving observation points to be established in frequency domain for fast calculation under moving loads. Furthermore, by analyzing the vehicle–road coupled vibrations, based on the vehicle FRF and road moving FRF, a formula for the vehicle–road coupling force is derived in frequency domain, along with an expression for the responses at the vehicle–road contact points. Finally, the approach is illustrated in numerical simulations of vehicle–road coupled systems, and its computational efficiency and accuracy are verified through comparison with currently popular methods. Słowa kluczowe: vehicle-road coupled vibration, frequency domain, frequency response function, impulse response function, numerical simulations Afiliacje autorów:
|  | 70p. | |||||||||||||||||||||
| 2. | Zhang Q.♦, Hou J.♦, Hu X.♦, Yuan L.♦, Jankowski Ł., An X.♦, Duan Z.♦, Vehicle parameter identification and road roughness estimation using vehicle responses measured in field tests, MEASUREMENT, ISSN: 0263-2241, DOI: 10.1016/j.measurement.2022.111348, Vol.199, pp.111348-1-111348-17, 2022 Streszczenie: Accurate information about vehicle parameters and road roughness is of great significance in vehicle dynamic analysis, road driving quality, etc. In this study, a method for estimating vehicle parameters and road roughness was developed using the measured vehicle responses from field tests which is efficient, economical, and accurate. First, the full-vehicle model was introduced. Then, vehicle modal parameters were identified using the consequent free responses of a vehicle passing over bumps. Second, the expression of the vehicle frequency response function (FRF) with respect to the wheel contact point was derived from the vehicle equation of motion, and a road roughness estimation method based on the vehicle FRF was developed. Third, field tests in which the vehicle passes over bumps were performed for vehicle model identification. Finally, field tests for road roughness estimation were carried out using a calibrated vehicle to verify the effectiveness of the proposed methods. Słowa kluczowe: road roughness, vehicle parameters, modal identification, frequency response function (FRF), vehicle response Afiliacje autorów:
| | 200p. | |||||||||||||||||||||
| 3. | Zhang Q.♦, Hou J.♦, An X.♦, Jankowski Ł., Duan Z.♦, Hu X.♦, Vehicle parameter identification based on vehicle frequency response function, JOURNAL OF SOUND AND VIBRATION, ISSN: 0022-460X, DOI: 10.1016/j.jsv.2022.117375, pp.1-22, 2022 Streszczenie: Accurate vehicle parameter information plays an important role in assessing the conditions of roads and bridges, along with the corresponding maintenance. This study considered a vehicle parameter identification method based on a vehicle frequency response function (FRF). First, the vehicle FRF was deduced with respect to the displacements of the vehicle-road contact points, thereby building the relationships among the FRF, vehicle responses, and road profile in the frequency domain. Next, using the responses of vehicles passing over on-road bumps of known size, a direct estimation of the vehicle FRF was described. Then, a combination of Tikhonov regularization and a shape function method was used to update the estimated vehicle FRF by removing the singular data owing to the direct computation of the vehicle FRF. Subsequently, the modifying factors of the vehicle parameters were iteratively identified based on a sensitivity analysis of the estimated FRF to the vehicle parameters. A numerical simulation for vehicle parameter identification was performed to test the effectiveness of the proposed methods, considering a 5% Gaussian noise pollution and the influences of different driving speeds. At last, field tests of a vehicle passing over bumps were performed for the verification of vehicle parameter identification Słowa kluczowe: vehicle parameter identification, frequency response function, Tikhonov regularization, shape function method Afiliacje autorów:
| | 200p. |