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In this paper, a three Degrees Of Freedom (DOF) model of a quarter vehicle suspension system is proposed including the seat driver mass. The modal parameters of this system, which indicate the comfort and the safety of the suspension, are identified using Wavelet analysis. Two applications of wavelet analysis are presented: signal denoising based o...
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Citations
... Models of two or three masses connected by nonlinear springs and absorbers are often used to describe various mechanisms: vibration isolation systems such as a suspension of a vehicle, an industrial robot cutting arm, a punching press, an impact tool, a gyroscope, a generator. The vehicle suspension is modelled in [1][2][3][4][5] by a system of three masses with springs and absorbers. The system parameters that ensure the driver's comfort and safety are determined using a wavelet analysis. ...
The paper considers the reaction of a mechanical system of three masses connected by springs and absorbers moving in the longitudinal direction to the action of a harmonic force applied to the largest mass. This mass is attached to the base by a spring with cubic nonlinearity, while smaller masses are connected to the main mass by linear springs. A method is proposed for obtaining the amplitude-frequency characteristic (AFC) of a nonlinear system from the AFC sequence of linearized systems. The results of modelling an equivalent electrical circuit, which is an analogue of a mechanical system, are presented. The influence of the value of the nonlinearity coefficient on the dynamic response of systems has been studied. It is noted that for some combinations of values of the system parameters with cubic nonlinearity with mass ratios m 1 : m 2 : m 3 = 4:2:1, the AFC contains outer and inner isolated areas – islands.
... Figure 15 presents the vehicle models that have been used to develop the smoothness indices. Figure 15: Vehicle models used to develop the respective smoothness index (a) 2 DoF Quarter Car Model (b) 3 DoF Quarter Car Model [57] (c) 3 DoF Passenger Car Model [58] (d) 5 DoF Semi Trailer Model [58] (e) 12 DoF Passenger Car Model [59] (f) 8 DoF Truck Model [59] (g) Full Car Model [60] Based on frequency weighted seat acceleration, the tire force and acceleration of the sprung mass [62] Truck ride index (TRI) 3 DoF Quarter Car Model [57] (Figure 15 Based on ride comfort, ride safety, and the dynamic load of the road and sprung mass [63] [58] [64] The Corrected Unevenness Index (Cw) Rates the smoothness on a scale of 0-10. Rating of 5 or 6 would indicate a need for repaving and a rating of 10 indicates a smooth road. ...
... Figure 15 presents the vehicle models that have been used to develop the smoothness indices. Figure 15: Vehicle models used to develop the respective smoothness index (a) 2 DoF Quarter Car Model (b) 3 DoF Quarter Car Model [57] (c) 3 DoF Passenger Car Model [58] (d) 5 DoF Semi Trailer Model [58] (e) 12 DoF Passenger Car Model [59] (f) 8 DoF Truck Model [59] (g) Full Car Model [60] Based on frequency weighted seat acceleration, the tire force and acceleration of the sprung mass [62] Truck ride index (TRI) 3 DoF Quarter Car Model [57] (Figure 15 Based on ride comfort, ride safety, and the dynamic load of the road and sprung mass [63] [58] [64] The Corrected Unevenness Index (Cw) Rates the smoothness on a scale of 0-10. Rating of 5 or 6 would indicate a need for repaving and a rating of 10 indicates a smooth road. ...
Smoother pavement provides a comfortable, safe and economical riding experience to the public and prolongs the life of the pavement with low maintenance costs. Hence, obtaining a smooth pavement is considered a necessity by many transportation agencies around the world. In order to achieve a smooth pavement, smoothness specifications are developed. Smoothness specifications mainly consist of four parts: smoothness measuring equipment, smoothness indices and analysis method, acceptance limits, and incentive/disincentive payment schemes. This paper summarizes smoothness specifications in the United States and various countries around the world and provide an overview on the comparison of smoothness measurement. The smoothness measuring devices, indices, limits and payment schemes vary from country-to-country International Roughness Index is the most used smoothness index in the US and around the world. Inertial profilers are used to measure the pavement profile for smoothness.
As a vital and integral component of transportation infrastructure, pavement has a direct and tangible impact on socio-economic sustainability. In recent years, an influx of groundbreaking and state-of-the-art materials, structures, equipment, and detection technologies related to road engineering have continually and progressively emerged, reshaping the landscape of pavement systems. There is a pressing and growing need for a timely summarization of the current research status and a clear identification of future research directions in these advanced and evolving technologies. Therefore, Journal of Road Engineering has undertaken the significant initiative of introducing a comprehensive review paper with the overarching theme of “advanced road materials, structures, equipment, and detection technologies”. This extensive and insightful review meticulously gathers and synthesizes research findings from 39 distinguished scholars, all of whom are affiliated with 19 renowned universities or research institutions specializing in the diverse and multidimensional field of highway engineering. It covers the current state and anticipates future development directions in the four major and interconnected domains of road engineering: advanced road materials, advanced road structures and performance evaluation, advanced road construction equipment and technology, and advanced road detection and assessment technologies.
This paper deals with dynamical modelling and modal identification of a special class of electromechanical systems: the multi-mass electrical drives. The aim of the work is to investigate the usefulness and the performance of the continuous wavelet transform (CWT) for the estimation of modal parameters, such as damping ratios and natural frequencies of these electromechanical systems. For this investigation, two models of elastic drive systems are considered: the two-mass and the three-mass models. The modal analysis identification using CWT is compared to the Hilbert–Huang transform technique and evaluated in terms of accuracy and ability to estimate modal parameters with different inputs, aptitude to distinguish several modes especially in the case of closely spaced modes and resistance to noisy conditions. In view of the results of the study, the advantages and shortcomings of each technique are presented and discussed.
