Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Transport engineering

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Materials sciences --- Transport engineering --- materiaalkennis --- motorrijtuigen --- ingenieurswetenschappen

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

David Degenhardt develops an elasto-viscoplastic material model in order to predict the temperature and strain rate-dependent deformation and fracture behavior of thermoplastic polymers. The model bases on three supporting ambient temperatures, where a thermoplastic polymer has been characterized profoundly at the stress states 1) uni-axial tension and compression, 2) bi-axial tension and 3) shear. The core of the material model builds a pressure-dependent yield function with a non-associated flow rule. Further, it contains an analytical hardening law and a strain rate-dependent fracture criterion. The model is validated with components subjected to impact loading at different ambient temperatures. The comparison of the simulation and the experiments shows that stiffness, hardening, fractures strain as well as thicknesses can be well captured. Contents Material Modeling; Yield Functions and Flow Rules Static and Dynamic Material Testing Temperature-dependent Material Model Model Validation with Component Tests Target Groups Scientists and students in the field of material sciences and simulation Practitioners in industry in the field of material characterization About the Author David Degenhardt is a calculation engineer in the chassis development department of a German automobile manufacturer and earned his doctorate while working at the Technische Universität Carolo-Wilhelmina zu Braunschweig, Germany.

Materials sciences --- Transport engineering --- materiaalkennis --- motorrijtuigen --- ingenieurswetenschappen

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Transport engineering --- Programming --- Computer. Automation --- motorrijtuigen --- ingenieurswetenschappen --- informatietheorie --- interfaces

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Elisabeth Schmidt investigates the effect of thermal stimulation during passive driver fatigue in a series of driving simulator experiments. Thermal stimulation of the upper body resulted in significantly decreased subjective fatigue ratings as well as an increase in pupil diameter and skin conductance. The effects of different stimulus temperatures, durations, lower leg cooling and repetitive cooling were also examined. The studies show that thermal stimulation of the upper body causes physiological and subjective effects, which can be associated with a short-term sympathetic activation, whereas lower leg cooling does not cause physiological activation. Contents Fatigue Induction in Simulated Driving Effect of Thermal Stimuli on Passive Fatigue Detection of Fatigue based on Physiological Measurements Driver Vitalization through Fatigue-Based Climate Control Target Groups Researchers in the fields of human factors, ergonomics, user interaction Automotive human-machine-interaction specialists The Author Elisabeth Schmidt completed her doctoral dissertation under the supervision of Prof. Dr. Angelika C. Bullinger-Hoffmann at Chemnitz University of Technology, Germany. .

Transport engineering --- Transport. Traffic --- Programming --- verkeer --- transport --- motorrijtuigen --- ingenieurswetenschappen --- interfaces