this paper presents the fatigue life behavior of hub using random vibration based on road roughness. the main objectives of this study are to predict the fatigue life and to identify the critical location for evaluating fatigue damage. asphalt road surface profiles obtained in favorable circumstances by topography cameras and in according road classification iso 2631-1estimate road roughness su...

1 6 Abafact This report presents a study and evaluation of the technology and methodologies available for predicting the response of mobile ground equipment to dynamic input from terrain roughness. The purpose of the report is to develop a technical foundation for the subsequent formulation of military specifications for durability of ground vehicles used at air bases. The report reviews the te...

Preservation of the road assets value in an efficient manner is an important aim for developed road administrations. The task requires accurate road maintenance that is planned in advance. Forecasting road condition in the future is a prerequisite for optimisation of maintenance treatments. In this study two hybrid methods are introduced for forecasting road roughness and rutting. Markovian mod...

Pavement surface unevenness plays a pivotal role on roughness index of road which affects on riding comfort ability. Comfort ability refers to the degree of protection offered to vehicle occupants from uneven elements in the road surface. So, it is preferable to have a lower roughness index value for a better riding quality of road users. Roughness is generally defined as an expression of irreg...

The fractal interpolation theory was used to the research of road surface roughness, and its simulating method was proposed through the piecewise fractal model. The fractal interpolation model was established for the actual road surface roughness, its influential factors and their laws of influencing were also analyzed, and then the model accuracy was confirmed by the fractal parameters and the...

SmartRoadSense is a crowdsensing project aimed at monitoring the conditions of the road surface. Using the sensors of a smartphone, SmartRoadSense monitors the vertical accelerations inside a vehicle traveling the road and extracts a roughness index conveying information about the road conditions. The roughness index and the smartphone GPS data are periodically sent to a central server where th...

The U.S. Anny currently uses the root mean square of elevation and power spectral density to characterize road/terrain (off-road) roughness for durability. This paper describes research aimed toward improving these metrics. One method currently under consideration involves running a relatively simple, yet vehicle class specific, model over a given terrain and using predicted vehicle response(s)...

Detecting road potholes and road roughness levels is key to road condition monitoring, which impacts transport safety and driving comfort. We propose a crowdsourcing-based road surface monitoring system, simply called CRSM. CRSM can effectively detect road potholes and evaluate road roughness levels using hardware modules mounted on distributed vehicles. These modules use low-end accelerometers...