Response of an accelerating vehicle to random road undulation

Virchis, Victor J.; Robson, J.D.

doi:10.1016/0022-460x(71)90713-9

Cited by 26 publications

(5 citation statements)

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“…The effect of acceleration on velocity response is more complicated than that found by Yadav and Nigam [4] for acceleration response, but at least it now seems that the lack of effect on displacement response first observed in [3] and confirmed in [t] is an exceptional situation.…”

Section: The Calculation Of E(z 2) Would Thus Involve Such Cross-corrmentioning

confidence: 88%

Response of vehicle accelerating over random profile

Macvean

1980

Ing. arch

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Summary:Certain aspects of the complex dependence on parameters of the non-stationary random response of a simple model of a vehicle to road roughness are investigated numerically. Although the method is applicable to an arbitrarily varying traversal velocity, attention has been restricted to uniformly accelerated motion. The mean square velocity response is found to be strongly dependent on acceleration and relatively independent of road roughness spectral density at low wave-numbers. The fact that the non-stationary displacement response is independent of acceleration would thus seem to be an exceptional case, since the mean square acceleration response is known to depend markedly on acceleration.13bersicht: Gewisse Aspekte der komplizierten Parameterabh/ingigkeiten der durch StraBenunebenheiten erzeugten nichtstationgren Zufallsschwingnngen eines einfachen Modells eines StlaBenfahrzeuges werden numerisch untersucht. Obwohl das L6sungsverfahren keine Annahmen llber die Fahrgeschwindigkeit voraussetzt, wird die Untersuchung auf eine konstante Beschleunigung beschr~tnkt. Die Ergebnisse zeigen, dab bei niedrigen Geschwindigkeiten die mittlere quadratische Ansprechgeschwindigkeit stark yon der Beschleunigung abh~ngt, jedoch relativ unabh~ngig vom Spektrum der Stral3enunebenheiten bei kleinen Wellenzahlen ist. Die relative Unabh~ngigkeit der mittleren quadratischen Ansprechverschiebung stellt einen Ausnahmefall dar, da schon bekannt ist, dab die Transportbeschleunigung einen erheblichen Einflul3 auf den quadratischen Mittelwert der Ansprechbeschleunigung hat.

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Section: The Calculation Of E(z 2) Would Thus Involve Such Cross-corrmentioning

confidence: 88%

Response of vehicle accelerating over random profile

Macvean

1980

Ing. arch

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“…with (•) representing the Fourier transform operator, where ν = ω s /ω s,GC , γ = m u /m s , β = ω u /ω s and ζ = C s /2m s ω s are the quarter-car invariants and κ = νπ + iωζ with i = √ −1. The temporal base excitation process, ξ t (t), in general, is non-stationary and possesses an intime evolutionary spectrum [35][36][37]. However, for the case of constant speedṡ(t) = V, the process becomes stationary with an autocorrelation function that only depends on the time lag τ , that is,…”

Section: Road Vehicle Interaction: a Spectral Stochastic Modelmentioning

confidence: 99%

Smartphone-enabled road condition monitoring: from accelerations to road roughness and excess energy dissipation

et al. 2021

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We develop a framework to address the shortcomings of current smartphone-based approaches for road roughness sensing and monitoring through combining vehicle dynamics, random vibration theory and a two-layer inverse analysis. The proposed approach uses in-cabin recordings of the vehicle’s vertical acceleration measured by a smartphone positioned inside the car for the estimation of road roughness. The mechanistic road roughness–vehicle interaction model at the core of the proposed framework links the frequency spectrum of the vehicle’s vertical acceleration to the road roughness power spectral density and lends itself to the quantitative characterization of roughness-induced energy dissipation. We demonstrate that the measure of roughness provided by the stochastic model of car dynamics interacting with a rough road is fully compatible, in a statistical sense, with the spatial but deterministic definition of road roughness, and validate the identification strategy that originates from it against laser measurements of road roughness. The critical crowdsourcing features of the proposed framework, such as the marginal impact of phone position and transferability, are examined and its utility to meld with big data analytics to identify the class of vehicles travelling on a roadway network is demonstrated.

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“…Under this assumption, if the aircraft velocity is constant, the excitation from the rough surface becomes a stationary random process, whereas for the variable aircraft velocity the surface excitation becomes a nonstationary random process. From among the various statistical models of the aircraft landing strip, the most widely used model can be expressed by the equation (Virchis and Robson, 1978) where…”

Section: Modeling the Landing Gear And Landing Strip Surfacementioning

confidence: 99%

“…During take-off and landing, an aircraft landing gear is subjected to random excitations arising from the surface roughness of a landing strip (Yadav and Nigam, 1978 ;Soong and Mircea, 1993 ;Sobczyk et al, 1977 ;Virchis and Robson, 1978). The level of aircraft vibration due to such random excitations needs to be taken into account during structural design not only to guarantee the structural integrity but also to protect the cargo and on-board instrumentation.…”

Section: Introductionmentioning

confidence: 99%

On the approximate solution of aircraft landing gear under nonstationary random excitations

Hwang

Kim

2000

KSME International Journal

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The motion of an aircraft landing gear over a rough runway can be modeled by a nonclassically damped system subject to nonstationary random excitations. In this paper, the approximate analysis methods based on either the real or complex normal modes for the computation of nonstationary response covariances are proposed. It has been found by simulation involving a realistic example that, for the nonclassically damped random vibrational systems, the approximate solution method based on the complex normal mode is superior to other approaches with respect to the accuracy and computation time.

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Response of an accelerating vehicle to random road undulation

Cited by 26 publications

References 0 publications

Response of vehicle accelerating over random profile

Response of vehicle accelerating over random profile

Smartphone-enabled road condition monitoring: from accelerations to road roughness and excess energy dissipation

On the approximate solution of aircraft landing gear under nonstationary random excitations

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