A real-time recursive dynamic model for vehicle driving simulators

Abstract

This paper presents the Real-Time Recursive Dynamics (RTRD) model that is developed for driving simulators. The model could be implemented in the Driving Simulator. The RTRD can also be used for off-line high-speed dynamics analysis, compared with commercial multibody dynamics codes, to speed up mechanical design process. An overview of RTRD is presented in the paper. Basic models for specific vehicle subsystems such as tire, steering, brake, power train, aerodynamics, etc., are interfaced with multibody dynamics to create a complete vehicle simulation model. Basic theories of each vehicle subsystem model are introduced and the interfaces with the multibody dynamic model are discussed. Required data for setting a vehicle model listed and an Army's High Mobility Multipurpose Wheeled Vehicle (HMMWV) modeling example is illustrated. For operator-in-the-loop simulation, the interface between the RTRD model and the simulator subsystems, i.e., visual, motion, audio, and terrain database, is presented. Finally, the parallel processing algorithm of RTRD model is illustrated. Benchmarks for the baseline RTRD code are analyzed using two vehicle examples, a passenger car and a tractor-semitrailer. D D

Evaluation of 2D concentrically braced frames with cylindrical dampers subjected to near-field earthquake ground motions

“…Moreover, regarding the friction damper behavior, the second line would also be almost horizontal. It is clear that the modeled friction damper showed a promising accuracy as compared with experimental results [20][21][22].…”

“…Table 1 and 2 depict ground motion record of near and farfield earthquakes, respectively, in which, collected data is comprised of information such as earthquake number, Richter scale, year in which earthquake occurred, name of earthquake, name of recording station, and finally its owner. These near fault motions cover a moment magnitude range from 6.2 to 7.5 and a rupture distance (closest distance from site to fault rupture plane) range from 0.0 to 8:9 km [16,17,21]. The spectrum of heptad ground motion records regarding near and far-field earthquakes, as well as collected data about comparison of these earthquakes with the sample are shown in figures 3, 4, 5, and 6.…”

Prediction of Drivers’ Subjective Evaluation of Vehicle Reaction Under Aerodynamic Excitations

“…The vehicle behaviour is mapped to platform movement using a motion cueing algorithm (Kusachov, 2016). Further details of the simulator, the software and the vehicle dynamics model are described in (Bruzelius et al, 2013;Jansson et al, 2014;Obialero, 2013). In the experiment, a twotrack vehicle model was used with the response behaviour comparable to the compact SUV model that was used on the pre-study.…”