Search for Author, Title, Keyword
Method of reconstructing dynamic load characteristics for durability test Indexed by: of heavy semitrailer under different road conditions
More details
Hide details
Łódź University of Technology, ul. Stefanowskiego 1/15, 90-537 Lodz, Poland
Wielton S.A., ul. Rymarkiewicz 6, 98-300 Wielun, Poland
Wroclaw University of Technology, ul. Lukasiewicza 5, 50-371 Wroclaw, Poland
Publication date: 2021-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(3):548–558
  • Road data was recorded using real semitrailer with a set of sensors.
  • Drive data was created and verified using the road simulator.
  • Dynamic load characteristics of different road conditions was made.
  • The reconstruction of the road load data conditions was as high as 97%.
  • This methodology is valid for accelerated durability test for different road conditions.
The aim of the article is to present and validate a methodology for collecting road load data on a vehicle, driving on roads and analysis of a drive data signal under the wheel in the time domain, using FRF (Frequency Response Function) and the MTS 320 eight-poster inertia reacted road simulator. The elaborated drive data, was used to control the actuators forcing the movements of the wheels and the coupling part of the semi-trailer during durability tests. The road tests were carried out by registering physical variables in the time domain, by a set of sensors mounted on a vehicle. The data was collected from roads categorized as motorways, national and local roads. Differences between the variability of the parameters, collected on the roads and the variability of the drive data under the wheel, were determined for the particular types of roads, for loaded and unloaded vehicle. The obtained accuracy of reconstruction of the road load data conditions was as high as 97%. Therefore, the proposed method is suitable for reliable durability tests with use of the road simulator.
Abulizi N, Kawamura A, Tomiyama K, Fujita S. Measuring and evaluating of road roughness conditions with a compact road profiler and ArcGIS. Journal of Traffic and Transportation Engineering 2016; 3(5): 398-411,
Allouch A, Koubaa A, Abbes T, Ammar A. Smartphone Application to Estimate Road Conditions Using Accelerometer and Gyroscope. IEEE Sensors Journal 2017; 17(13): 4231-4238,
Burger M. Calculating road input data for vehicle simulation. Multibody Syst. Dyn. 2014; 31: 93-110,
Chindamo D, Gadola M, Marchesin F. Reproduction of real-world road profiles on a four-poster rig for indoor vehicle chassis and suspension durability testing. Advances in Mechanical Engineering 2017; 9(8) 1-10,
Gorges C, Öztürk K, Liebich R. Impact detection using a machine learning approach and experimental road roughness classification. Mechanical Systems and Signal Processing 2019; 117: 738-756,
Imine H, Fridman L. Road profile estimation in heavy vehicle dynamics simulation. International Journal of Vehicle Design 2013; 47: 234-249,
International Standard ISO 8608:2016. Mechanical vibration - Road surface profiles - Reporting of measured data 2016.
Johannesson P, Speckert M. Guide to load analysis for durability in vehicle engineering. John Wiley & Sons. Ltd. 2014,
Kepka M, Miloslav K, Václavík J, Chvojan J. Fatigue life of a bus structure in normal operation and in accelerated testing on special tracks. Procedia Structural Integrity 2019; 17: 44-50,
Kong YS, Abdullah S, Omar MZ, Haris SM. Failure assessment of a leaf spring eye design under various load cases. Engineering Failure Analysis 2016; 63: 146-159,
Kong YS, Abdullah S, Schramm D, Omar MZ, Haris SM, Bruckmann T. Mission profiling of road data measurement for coil spring fatigue life. Measurement 2017; 107: 99-110,
Kosobudzki M, Stańko M. Problems in assessing the durability of the selected vehicle component based on the accelerated proving ground test. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21 (4): 592-598,
Levulyte L, Zuraulis V, Sokolovskij E. The research of dynamic characteristics of a vehicle driving over road roughness. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2014; 16 (4): 518-525.
Loprencipe G, Zoccali P. Use of generated artificial road profiles in road roughness evaluation. Journal of Modern Transportation 2017; 25(1): 24-33,
Paraforos DS, Griepentrog HW, Vougioukas SG. Country road and field surface profiles acquisition, modelling and synthetic realisation for evaluating fatigue life of agricultural machinery. Journal of Terramechanics 2016; 63: 1-12,
Pawar PR, Mathew AT, Saraf MR. IRI (International Roughness Index): An Indicator Of Vehicle Response. Materials Today: Proceedings 2018; 5: 11738-11750,
Puchalski A, Ślęzak M, Komarska I, Wiśniowski P. Multifractal analysis vehicle's in-use speed profile for applicattion in driving cycles. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20 (2): 177-181,
Qin Y, Langari R, Gu L. The use of vehicle dynamic response to estimate road profile input in time domain. ASME Dynamic Systems and Control Conference 2014,
Sharma BR. Feasibility of Use of Four-post Road Simulators for Automotive Modal Applications. University of Cincinnati 2010.
Stembalski M, Czarnuch A, Batory D. Collection of reference data for durability tests using a road simulator. International Business Information Management Association 2020; 11352-11365.
Świderski A. Borucka A, Jacyna-Gołda I, Szczepański E. Wear of brake systems components in various operating conditions of vehicle in the transport company. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21 (1): 1-9,
Steven R. Haeg. Dynamic FRF Response Comparison for Rolling and Non-rolling Tires. MTS Systems Corporation 2014.
Telloa L, Castejona L, Malona H, Valladaresa D, Luqueb P, Mantarasb A. Development of a fatigue life prediction methodology for welded steel semi-trailer components based on a new criterion. Engineering Failure Analysis 2020; 104268: 1-26, engfailanal.2019.104268.
Tianshuang Q. Signal Processing and Data Analysis. De Gruyter 2018.
Zhang Q, Hou J, Duan Z, Jankowski Ł, Hu X. Road Roughness Estimation Based on the Vehicle Frequency Response Function. Actuators 2021; 10(5): 89,
Zhao B, Nagayama T, Xue K. Road profile estimation, and its numerical and experimental validation, by smartphone measurement of the dynamic responses of an ordinary vehicle. Journal of Sound and Vibration 2019; 457: 92-117,
Using Detailing Concept to Assess Railway Functional Safety
Iryna Bondarenko, Tiziana Campisi, Giovanni Tesoriere, Larysa Neduzha
TRANSBALTICA XIII: Transportation Science and Technology
Marek Stembalski, Arkadiusz Czarnuch, Tomasz Szydłowski, Damian Batory