Study on Road Simulation Test of Motorcycle

2010 ◽  
Vol 29-32 ◽  
pp. 1556-1561
Author(s):  
Xiao Hui Shi ◽  
Xi Hong Zou ◽  
Ping Yang

The principle of remote parameter control(RPC) and test method of road simulator test are analyzed, and the road simulation test of motorcycle is implemented with road simulator produced by MTS company. Firstly, by disposing strain gauge and accelerometer, the load spectrum of motorcycle is sampled when the motorcycle runs on gravel road and concrete road with constant speed. Then using the front and rear axle acceleration as desired response signals, the simulation iteration and road simulation test are conducted. At last, the key problems of motorcycle road simulation test are solved. The result shows that the desired response signals and the monitor signals are well matched, and the road load spectrum of motorcyle is accurately reproduced.

2013 ◽  
Vol 718-720 ◽  
pp. 1468-1471
Author(s):  
Jin Jun Zheng ◽  
Yan Hong Peng

According to the road load spectrum and the given engines parameters of a car, a comprehensive test method which can analyze and optimize the reliability life of gear and bearing assembly for FF mechanical transmission has put forward. This test method can diagnose the fatigue damaged components of the transmission and provide experimental support for optimizing the structure of the transmission as well as improving the transmission performance and the overall fatigue life.


2014 ◽  
Vol 505-506 ◽  
pp. 343-348
Author(s):  
San Xia Wang ◽  
Lu Zhang ◽  
Chong Bo Zhang ◽  
Wen Liang Li ◽  
Wei Zhou

In order to study the fatigue reliability of taxis, a test method that correlated typical user road with proving ground reliability road is proposed. According to the result of investigation, after taking the road test on the user road, the load spectrum of taxis on the condition of typical user road is obtained. Then the rain flow counting method is used to obtain the load distribution matrixes through analyzing the two groups of data that are tested above , and with pseudo damage as a quantitative basis for the calculation of taxis fatigue damage that generated from load spectrum, an equivalent relationship is established between the two. The calculation results indicate that the ratio of damage of the typical user road to proving ground reliability road is 1 to 148.8, if regarding 600,000 km as total scrapped mileage of a taxi, 4,000 km reliability test on proving ground can achieve the same damage.


2012 ◽  
Vol 605-607 ◽  
pp. 895-898
Author(s):  
Xi Hong Zou ◽  
Kai Qiao ◽  
Xiao Hui Shi

Road load spectrum is not only the prerequisites of fatigue reliability analysis and test of AMT(Automated Manual Transmission) actuating mechanism, but also the input and boundary conditions of CAE(Computer Aided Engineering). Based on analysis of AMT motion and force, the measuring points of road load spectrum are determined, and the accelerometers and strain gauges are installed. Then the road load spectrum of AMT actuating mechanism is collected on Xiangfan Automobile Proving Ground according to related standards. At the same time the acquired road load spectrum is analyzed, such as pretreatment, repeatability checking and statistical analysis. The results indicate that the acquired road load spectrum is well reliable and repeatable, which provides effective basic data for design, analysis and verification of AMT actuating mechanism.


Author(s):  
Shuanglong Geng ◽  
Xintian Liu ◽  
Xiaobing Yang ◽  
Zhengyun Meng ◽  
Xiaolan Wang ◽  
...  

In actual engineering, the actual road test or indoor bench test is usually used to collect the data of the road load of the parts to acquire the fatigue life estimation of the auto parts. This paper proposes a method for load spectrum construction based on the mixed distribution probability model using the data of the road load spectrum collected in the test site. Pau Ta criteria outlier elimination and wavelet signal denoising are applied to analyze the original road load spectrum data. Then the maximum likelihood estimation method is used to estimate the generalized Pareto distribution parameters of all excesses. The Pareto distribution is also employed to extrapolate the load spectrum. Through the characteristic analysis of the load spectrum, the one-dimensional and two-dimensional program load spectrum of the hub is established based on the mixed probability distribution model, which provides a theoretical basis for the life prediction of the hub. In addition, the research results of this paper provide inspirations for the fatigue life prediction and fatigue durability bench test of automotive parts subjected to the complexity and variability of random loads.


2014 ◽  
Vol 42 (1) ◽  
pp. 2-15
Author(s):  
Johannes Gültlinger ◽  
Frank Gauterin ◽  
Christian Brandau ◽  
Jan Schlittenhard ◽  
Burkhard Wies

ABSTRACT The use of studded tires has been a subject of controversy from the time they came into market. While studded tires contribute to traffic safety under severe winter conditions by increasing tire friction on icy roads, they also cause damage to the road surface when running on bare roads. Consequently, one of the main challenges in studded tire development is to reduce road wear while still ensuring a good grip on ice. Therefore, a research project was initiated to gain understanding about the mechanisms and influencing parameters involved in road wear by studded tires. A test method using the institute's internal drum test bench was developed. Furthermore, mechanisms causing road wear by studded tires were derived from basic analytical models. These mechanisms were used to identify the main parameters influencing road wear by studded tires. Using experimental results obtained with the test method developed, the expected influences were verified. Vehicle driving speed and stud mass were found to be major factors influencing road wear. This can be explained by the stud impact as a dominant mechanism. By means of the test method presented, quantified and comparable data for road wear caused by studded tires under controllable conditions can be obtained. The mechanisms allow predicting the influence of tire construction and variable operating conditions on road wear.


2020 ◽  
Vol 9 (1) ◽  
pp. 922-933
Author(s):  
Qing’e Wang ◽  
Kai Zheng ◽  
Huanan Yu ◽  
Luwei Zhao ◽  
Xuan Zhu ◽  
...  

AbstractOil leak from vehicles is one of the most common pollution types of the road. The spilled oil could be retained on the surface and spread in the air voids of the road, which results in a decrease in the friction coefficient of the road, affects driving safety, and causes damage to pavement materials over time. Photocatalytic degradation through nano-TiO2 is a safe, long-lasting, and sustainable technology among the many methods for treating oil contamination on road surfaces. In this study, the nano-TiO2 photocatalytic degradation effect of road surface oil pollution was evaluated through the lab experiment. First, a glass dish was used as a substrate to determine the basic working condition of the test; then, a test method considering the impact of different oil erosion degrees was proposed to eliminate the effect of oil erosion on asphalt pavement and leakage on cement pavement, which led to the development of a lab test method for the nano-TiO2 photocatalytic degradation effect of oil pollution on different road surfaces.


2021 ◽  
Vol 15 (5) ◽  
pp. 2451-2471
Author(s):  
Thomas Schneider von Deimling ◽  
Hanna Lee ◽  
Thomas Ingeman-Nielsen ◽  
Sebastian Westermann ◽  
Vladimir Romanovsky ◽  
...  

Abstract. Infrastructure built on perennially frozen ice-rich ground relies heavily on thermally stable subsurface conditions. Climate-warming-induced deepening of ground thaw puts such infrastructure at risk of failure. For better assessing the risk of large-scale future damage to Arctic infrastructure, improved strategies for model-based approaches are urgently needed. We used the laterally coupled 1D heat conduction model CryoGrid3 to simulate permafrost degradation affected by linear infrastructure. We present a case study of a gravel road built on continuous permafrost (Dalton highway, Alaska) and forced our model under historical and strong future warming conditions (following the RCP8.5 scenario). As expected, the presence of a gravel road in the model leads to higher net heat flux entering the ground compared to a reference run without infrastructure and thus a higher rate of thaw. Further, our results suggest that road failure is likely a consequence of lateral destabilisation due to talik formation in the ground beside the road rather than a direct consequence of a top-down thawing and deepening of the active layer below the road centre. In line with previous studies, we identify enhanced snow accumulation and ponding (both a consequence of infrastructure presence) as key factors for increased soil temperatures and road degradation. Using differing horizontal model resolutions we show that it is possible to capture these key factors and their impact on thawing dynamics with a low number of lateral model units, underlining the potential of our model approach for use in pan-Arctic risk assessments. Our results suggest a general two-phase behaviour of permafrost degradation: an initial phase of slow and gradual thaw, followed by a strong increase in thawing rates after the exceedance of a critical ground warming. The timing of this transition and the magnitude of thaw rate acceleration differ strongly between undisturbed tundra and infrastructure-affected permafrost ground. Our model results suggest that current model-based approaches which do not explicitly take into account infrastructure in their designs are likely to strongly underestimate the timing of future Arctic infrastructure failure. By using a laterally coupled 1D model to simulate linear infrastructure, we infer results in line with outcomes from more complex 2D and 3D models, but our model's computational efficiency allows us to account for long-term climate change impacts on infrastructure from permafrost degradation. Our model simulations underline that it is crucial to consider climate warming when planning and constructing infrastructure on permafrost as a transition from a stable to a highly unstable state can well occur within the service lifetime (about 30 years) of such a construction. Such a transition can even be triggered in the coming decade by climate change for infrastructure built on high northern latitude continuous permafrost that displays cold and relatively stable conditions today.


Author(s):  
Peter Vasquez ◽  
Edwin Quiros ◽  
Gerald Jo Denoga ◽  
Robert Michael Corpus ◽  
Robert James Lomotan

Abstract Efforts to mitigate climate change include lowering of greenhouse gas emissions by reducing fuel consumption in the transport sector. Various vehicle technologies and interventions for better fuel economy eventually require chassis dynamometer testing using drive cycles for validation. As such, the methodology to generate these drive cycles from on-road data should produce drive cycles that closely represent actual on-road driving from the fuel economy standpoint. This study presents a comparison of the fuel economy measured from a drive cycle developed using road load energy as a major assessment criterion and the actual on-road fuel economy of a 2013 Isuzu Crosswind utility vehicle used in the UV Express transport fleet in Metro Manila, Philippines. In this approach to drive cycle construction from on-road data, the ratio of the total road load energy of the generated drive cycle to that of the on-road trip is made the same ratio as their respective durations. On-road velocity and fuel consumption were recorded as the test vehicle traversed the 42.5 km. Sucat to Lawton route and vice versa in Metro Manila. Gathered data were processed to generate drive cycles using the modified Markov Chain approach. Three drive cycles of decreasing duration, based on the practicality of testing on a chassis dynamometer, were generated using three arbitrary data compression ratios. These drive cycles were tested using the same vehicle on the chassis dynamometer and compared with the on-road data using road load energy, fuel economy, average speed, and maximum acceleration. For the 893-seconds drive cycle generated, the road load energy error was 3.93% and fuel economy difference of 1.14%. For the 774-seconds cycle generated, the road load energy error was 4.34% and fuel economy difference was 0.91%. For the 664-seconds drive cycle, the road load energy error was 3.68% and fuel economy difference was 0.91%. On-road fuel economy for the 42.5-km. route averaged over nine round trips was 8.785 km/L. Based on the results, the road load energy criterion approach of drive cycle construction methodology can generate drive cycles which can very closely estimate on-road fuel economy.


Sign in / Sign up

Export Citation Format

Share Document