This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Experimental-Numerical Correlation of a Multi-Body Model for Comfort Analysis of a Heavy Truck
Technical Paper
2020-01-0768
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
In automotive market, today more than in the past, it is very important to reduce time to market and, mostly, developing costs before the final production start. Ideally, bench and on-road tests can be replaced by multi-body studies because virtual approach guarantees test conditions very close to reality and it is able to exactly replicate the standard procedures. Therefore, today, it is essential to create very reliable models, able to forecast the vehicle behavior on every road condition (including uneven surfaces).
The aim of this study is to build an accurate multi-body model of a heavy-duty truck, check its handling performance, and correlate experimental and numerical data related to comfort tests for model tuning and validation purposes. Experimental results are recorded during tests carried out at different speeds and loading conditions on a Belgian blocks track. Simulation data are obtained reproducing the on-road test conditions in multi-body environment. The virtual vehicle is characterized by rigid and flexible bodies, the tire model used is FTire (Flexible Structure Tire Model) while the 3D scan of the road surface is imported using OpenCRG format. Signals coming from accelerometers, positioned on suspension axles, the truck chassis and cabin, are investigated both in time and frequency domain, using three different methods typical of random signals: the power spectral density (PSD) analysis, the root mean square (RMS) and the level crossing peak counting (LC). The good match between simulation and experimental data validates the adopted simulation methodology, therefore this work has provided a valuable tool for studies concerning comfort, NVH, durability and fatigue in order to improve safety and reliability of future heavy-duty vehicles.
Authors
Topic
Citation
Galvagno, E., Galfrè, M., Velardocchia, M., Morello, A. et al., "Experimental-Numerical Correlation of a Multi-Body Model for Comfort Analysis of a Heavy Truck," SAE Technical Paper 2020-01-0768, 2020, https://doi.org/10.4271/2020-01-0768.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 | ||
| Unnamed Dataset 4 |
Also In
References
- Anderson , D. , Schade , G. , Hamill , S. , and O’Heron , P. Development of a Multi-Body Dynamic Model of a Tractor-Semitrailer for Ride Quality Prediction SAE Technical Paper 2001-01-2764 2001 https://doi.org/10.4271/2001-01-2764
- Shaik Mohamad , A. , Vijayakumar , R. , and Rao , P.N. Vibroacoustic Optimization of Tractor Cabin and Correlation with Experimental Data SAE Technical Paper 2017-01-1847 2017 https://doi.org/10.4271/2017-01-1847
- Jain , A.K. , Madaswamy , S. , Sudarsanam , S. , and Srinivas , V. Assessment of Ride in a Heavy Commercial Truck Using Numerical Simulation Methods and Correlation with Test SAE Technical Paper 2013-26-0151 2013 https://doi.org/10.4271/2013-26-0151
- International Organization for Standardization 2016
- International Organization for Standardization 1997
- Fichera , G. , Scionti , M. , and Garescì , F. Experimental Correlation between the Road Roughness and the Comfort Perceived In Bus Cabins SAE Technical Paper 2007-01-0352 2007 https://doi.org/10.4271/2007-01-0352
- Dorfi , H.R. Tire Cleat Impact and Force Transmission: Modeling Based on FTIRE and Correlation to Experimental Data SAE Technical Paper 2004-01-1575 2004 https://doi.org/10.4271/2004-01-1575
- Gipser, and Hofmann
- Gipser , M. FTIRE, a New Fast Tire Model for Ride Comfort Simulations International ADAMS User Conference Berlin 1999
- Borse , R.H. Analysis, Creation and Extraction of Three-Dimensional Road Profiles Using Open CRG Tool International Engineering Research Journal (IERJ)
- Potó , V. , Csepinszky , A. , and Barsi , Á. Representing Road Related Laserscanned Data in Curved Regular Grid: A Support to Autonomous Vehicles The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 2018
- International Organization for Standardization 2004
- International Organization for Standardization 2003
- Londhe , A. , Kangde , S. , and Moorthy , N. Evaluation of Vehicle Systems Structural Durability Using PSD Based Fatigue Life Approach SAE Technical Paper 2012-01-0953 2012 https://doi.org/10.4271/2012-01-0953
- Wang , D. , Hao , H. , Zhang , B. , and Chen , S.
- Yang , Y. , Ren , W. , Chen , L. , Jang , M. et al. Study on Ride Comfort of Tractor with Tandem Suspension Based on Multy-Body System Dynamics Science Direct, Applied Mathematical Modelling 33 11 33 2009
- Lu , Y. , Yang , S. , Li , S. , and Chen , L. Numerical and Experimental Investigation on Stochastic Dynamic Load of a Heavy Duty Vehicle Science Direct, Applied Mathematical Modelling 34 2698 2710 2010
- Greco , P.C. , de Barcellos , C.S. , and da Rosa Neto , A. A Numerical Model for Passenger Car Ride Comfort Studies SAE Technical Paper 2001-01-0039 2001 https://doi.org/10.4271/2001-01-0039