생체의 모델링과 Simulation

https://cronfa.swan.ac.uk/Record/cronfa24898/Download/0024898-19022016141050.pdf

The mechanics of composite corrugated structures: A review with applications in morphing aircraft

We present an information-theoretic approach to stochastic optimal control problems that can be used to derive general sampling-based optimization schemes. This new mathematical method is used to develop a sampling-based model predictive control algorithm. We apply this information-theoretic model predictive control scheme to the task of aggressive autonomous driving around a dirt test track, and compare its performance with a model predictive control version of the cross-entropy method.

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

Modal response of all-composite corrugated sandwich cylindrical shells

The technical challenge of creating a self-driving vehicle remains an open problem despite significant advancements from universities, car manufacturers, and technology companies. Full autonomy, known as level 5 (see "Society of Automotive Engineers Levels of Driving Automation"), is defined as full-time performance by an automated driving system of all aspects of the dynamic driving task under all roadway and environmental conditions that can be managed by a human driver. It is estimated that level 5 autonomous vehicles on public roads will help eliminate more than 90% [1] of the 35,000 annual traffic fatalities caused by human error in the United States [2]; reduce commute time, road congestion, and pollution; and increase driving resource utilization [3].

AutoRally: An Open Platform for Aggressive Autonomous Driving

This paper presents the stress analysis of heavy duty truck chassis. The stress analysis is important in fatigue study and life prediction of components to determine the critical point which has the highest stress. The analysis was done for a truck model by utilizing a commercial finite element packaged ABAQUS. The model has a length of 12.35 m and width of 2.45 m. The material of chassis is ASTM Low Alloy Steel A 710 C (Class 3) with 552 MPa of yield strength and 620 MPa of tensile strength. The result shows that the critical point of stress occurred at the opening of chassis which is in contact with the bolt. The stress magnitude of critical point is 386.9 MPa. This critical point is an initial to probable failure since fatigue failure started from the highest stress point. Keyword: Stress analysis, fatigue life prediction, truck chassis

/pdf/stress-analysis-of-heavy-duty-truck-chassis-as-a-preliminary-gczogmzc2n.pdf

Stress analysis of heavy duty truck chassis as a preliminary data for its fatigue life prediction using fem

Semi-active dampers change their damping force in real time by simply changing the damping coefficient according to a control policy. In this study, a number of semi-active control algorithms namely modified skyhook, modified groundhook and modified hybrid skyhook-groundhook controllers are evaluated to be used with a magnetorheological damper. The effectiveness of these control algorithms in disturbance rejection are investigated along with their ability to consistently provide the target force in the same direction with the damper velocity to overcome the damper constraint. From the simulation and experimental results, the modified hybrid skyhook-groundhook controller shows significant improvement in body acceleration, body displacement, suspension displacement without allowing excessive wheel acceleration magnitude. The modified hybrid skyhook-groundhook controller is also superior to the counterparts in overcoming the damper constraint by producing the target forces consistently in the same sign with the damper velocity.

Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper

Truck chassis forms the structural backbone of a commercial vehicle. The main function of the truck chassis is to support the components and payload placed upon it. When the truck travels along the road, the chassis is subjected to vibration induced by road roughness and excitation by vibrating components mounted on it. This paper presents the study of the vibration characteristics of the truck chassis that include the natural frequencies and mode shapes. The responses of the truck chassis which include the stress distribution and displacement under various loading condition are also observed. The method used in the numerical analysis is finite element technique. The results show that the road excitation is the main disturbance to the truck chassis as the chassis natural frequencies lie within the road excitation frequency range. The mode shape results determine the suitable mounting locations of components like engine and suspension system. Some modifications are also suggested to reduce the vibration and to improve the strength of the truck chassis. Keyword: Truck chassis, vibration, torsion stiffness, stress distribution.

https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/download/162/161

Statics and dynamics structural analysis of a 4.5 ton truck chassis

Whole body vibration produces some serious problems for human health in the long term. Low-frequency vibration, generated during vehicle operation, and transmitted to the vehicle operator, plays a major role in the development of low-back pain. Back pain is one of epidemic injuries in heavy duty vehicle drivers. Generally seat suspensions are designed and optimised to remove this unwanted movement. Human body biodynamic model is essential in passive seat suspension optimisation and active control seat suspension design. Lumped parameter models have been used by researchers for this purpose, but they have some limitations such as fixed body weight. With reference to this limitation, in first part of this paper a new artificial neural network (ANN) model is introduced which can predict spine acceleration from excitation signal and human body mass and height. The accuracy of model is 96% and makes it useful in real-time and off-line analysis. In second part of the paper, an off-road seat suspension will be o...

https://journals.sagepub.com/doi/pdf/10.1260/0263-0923.33.4.429

Off-Road Vehicle Seat Suspension Optimisation, Part I: Derivation of an Artificial Neural Network Model to Predict Seated Human Spine Acceleration in Vertical Vibration:

Roslan Abd. Rahman

Papers

Stress analysis of heavy duty truck chassis as a preliminary data for its fatigue life prediction using fem

Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper

Statics and dynamics structural analysis of a 4.5 ton truck chassis

Off-Road Vehicle Seat Suspension Optimisation, Part I: Derivation of an Artificial Neural Network Model to Predict Seated Human Spine Acceleration in Vertical Vibration:

Experimental study on loss factor for corrugated plates by bandwidth method