Fatigue Loads Prediction Based on a Hybrid Road Approach

Mei, Yi He; Xie, Qing Sen

doi:10.4028/www.scientific.net/amr.989-994.3363

Cited by 1 publication

(2 citation statements)

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“…A second evaluation approach often considered to estimate frame loads is the use of wheel force transducers (WFTs) that monitor forces and moments transmitted at the wheel hubs [3][4][5]. WFTs are widely used for durability analysis, multibody dynamics (MBD) modeling and handling analysis [6][7][8][9][10][11]. Although these transducers do not directly provide chassis loads, their data can be used in MBD simulations to predict loads transmitted to the frame.…”

Section: Introductionmentioning

confidence: 99%

“…Although these transducers do not directly provide chassis loads, their data can be used in MBD simulations to predict loads transmitted to the frame. Simulations that make use of WFT data are called semi-analytical, or hybrid simulations in different studies [ 1 , 11 – 13 ]. Semi-analytical MBD simulations are valuable since they require neither a tire model nor a road profile, which are essential to perform full analytical simulations.…”

Section: Introductionmentioning

confidence: 99%

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Frame loads accuracy assessment of semianalytical multibody dynamic simulation methods of a recreational vehicle

et al. 2020

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The design of a vehicle frame is largely dependent on the loads applied on the suspension and heavy parts mounting points. These loads can either be estimated through full analytical multibody dynamic simulations, or from semi-analytical simulations in which tire and road sub-models are not included and external vehicle loads, recorded during field testing, are used as inputs to the wheel hubs. Several semi-analytical methods exist, with various modeling architectures, yet, it is unclear how one method over another improves frame loads prediction accuracy. This study shows that a semi-analytical method that constrains the vehicle frame center of gravity movement along a recorded trajectory, using a control algorithm, leads to an accuracy within 1% for predicting frame loads, when compared to reference loads from a full analytical model. The control algorithm computes six degrees of freedom forces and moments applied at the vehicle center of gravity to closely follow the recorded vehicle trajectory. It is also shown that modeling the flexibility of the suspension arms and controlling wheel hub angular velocity both contribute in improving frame loads accuracy, while an acquisition frequency of 200 Hz appears to be sufficient to capture load dynamics for several maneuvers. Knowledge of these loads helps engineers perform appropriate dimensioning of vehicle structural components therefore ensuring their reliability under various driving conditions.

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