Variations in dynamic vehicle load on road pavement

Lin, Jeng-Hsiang

doi:10.1080/10298436.2013.770512

Cited by 19 publications

(8 citation statements)

References 13 publications

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“…In this study, the vehicle is modeled as a single degree of freedom (SDOF) with mass m1, constant spring k, and damping coefficient c0 with constant speed V along a rough bridge pavement (see Figure 1 (a)). A possible profile of the irregularities of pavement surface on a bridge, as shown in Figure 1 (b), the height, yr of the surface is plotted as a function of distance x along the bridge [3,5]. The pavement-surface elevation 𝑦 ̃ (𝑑, 𝑡) represent the sum of the pavement roughness and displacement of the bridge.…”

Section: Equation Of Motion Of Vehiclementioning

confidence: 99%

“…The dynamic load that is caused by the interaction between the vehicle and the bridge is a difficult problem that is impacted by a wide variety of parameters including, the level of roughness of the road surface, the speed of the vehicle, and the dynamic properties of both the vehicle and the bridge. Therefore, there has been an increasing interest in and concern about bridge design forces [3].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Pavement Roughness and Dynamic Tank Load on the Bridge Response

Rasol¹,

Al-Zaidee²

2022

MMEP

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This study aims to investigate the dynamic Load allowance variation (DLA) of dynamic tank Loads and compare it with Iraq's standard specifications for road bridges. DLA is considered a simple measurement of the dynamic variation magnitude of the tank load for a specific combination of road roughness and speed. In addition to determining the stochastic dynamic response of the bridge. Al-Awsej bridge in Iraq, with a span of 33.2 m and a principal road with four pavement roughness classes (very good, good, average, and poor), was proposed as a case study in this analysis. A spectral closed-form solution was used for evaluating the dynamic tank load due to the passage of a tank type-72A at a constant speed of 40,50,60 and 70 km/hr along a bridge with different types of rough pavement surface. The results show the less value of DLA for very good pavement at 40 km/hr is about 0.032, and the largest value is about 0.293 at 70 km/hr for poor pavement. Also, road surface roughness greatly influences vehicle-bridge interactions and bridge responses. Where at 40 km/hr, the Root mean square of bridge deflection range from 0.31 to 2.75 mm and 0.39 to 3.14 mm at 70 km/hr.

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Section: Equation Of Motion Of Vehiclementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Pavement Roughness and Dynamic Tank Load on the Bridge Response

Rasol¹,

Al-Zaidee²

2022

MMEP

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“…Because the traffic load is a cyclic load with a long period, low frequency, and large influence range, which has been generally accepted 42 , our study uses a sinusoidal wave cyclic load to simulate the traffic loads, as shown in Fig. 3 43 . The cyclic triaxial tests were carried out on the HCA-100 dynamic hollow cylinder-TSH testing system (HCA-100) manufactured by GCTS Instruments (GCTS, USA).…”

Section: Test Apparatus and Test Schemementioning

confidence: 99%

Influence of root distribution patterns on soil dynamic characteristics

Liu

et al. 2022

Sci Rep

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Slopes along the highway and railway routes are subjected to not only static loads but also dynamic loads generated by vehicles and trains. The induced excessive deformation potentially poses a threat to slope stability. In terms of the extensive application of ecological slope protection, plants play a critical role in slope stability, as the roots can enhance the shear strength of the soil. This study aims to investigate the influence of different root distribution patterns on the dynamic characteristics induced by cyclic loading. By conducting a group of dynamic triaxial tests, the results indicate that the root system can significantly enhance the liquefaction resistance of the soil when the soil is subjected to lower dynamic loads, and the cross arrangement has a better-reinforced effect than the mixed arrangement. The reinforced effect was not obvious when the soil was subjected to a dynamic load with a larger stress amplitude. In addition, based on the validation of the seed model, a new pore water pressure development model was proposed according to the test results. Overall, the research provides a new model and some innovative observations to better understand the dynamic behavior of root-reinforced soil.

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“…In accordance with the theory of random vibration, by considering uncertainty, Lin’s closed-form solution was extended for the dynamic vehicle load spectrum SFFtrue(ωtrue) as follows 34 where ξj is the j th modal damping ratio of the system and ωj is the undamped natural frequency of the j th modal. Etrue(ωtrue) is an empirical modification term.…”

Section: Vehicle Dynamical Load Analysismentioning

confidence: 99%

Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring

Meng

Xiao

Zhang

et al. 2018

Journal of Low Frequency Noise, Vibration and Active Control

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In this paper, we investigate vehicle–bridge interactions and propose a new method for assessing bridge conditions based on nonlinear vibration analysis. A vehicle model is presented, and the dynamic load on the bridge is quantified based on bridge road roughness. The vibration of a river bridge under a moving vehicle is recorded and analyzed. The Fourier spectrum of the bridge response due to vehicle loading exhibits complicated cluster bands in addition to multiple peaks, some of which are correlated with the bridge natural modes characterized by finite element method analysis and free decay testing, and some of which are correlated with the vehicle dynamic load spectrum. To characterize the unidentified narrow band in the bridge response spectrum, the Lyapunov exponent of the response is estimated, which is found to be a positive value indicating the nonlinear properties of the bridge’s large response under vehicle loading. This finding correlates with the bridge inspection, which shows that some supporting roller bearings do not properly contact the superstructure of the bridge. To elaborate this phenomenon, a model of beam with nonideal supporting condition is analyzed, and a narrow band spectrum is characterized using He’s variational-iteration method. This research offers insight to using the vehicle–bridge interaction to monitor the health status of a bridge by using nonlinear properties, as well as linear properties.

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Variations in dynamic vehicle load on road pavement

Cited by 19 publications

References 13 publications

Effects of Pavement Roughness and Dynamic Tank Load on the Bridge Response

Effects of Pavement Roughness and Dynamic Tank Load on the Bridge Response

Influence of root distribution patterns on soil dynamic characteristics

Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring

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