Author, Institution: Tomas Vaitkūnas, Kaunas University of Technology
Science area, field of science: Technological Sciences, Mechanical Engineering, T009
Scientific Supervisor: Prof. Dr. Paulius Griškevičius (Kaunas University of Technology, Technological Sciences, Mechanical Engineering, T009)
Dissertation Defense Board of Mechanical Engineering Science Field:
Prof. Dr. Regita Bendikienė (Kaunas University of Technology, Technological Sciences, Mechanical Engineering, T009) – chairperson
Prof. Dr. Valdas Eidukynas (Kaunas University of Technology, Technological Sciences, Mechanical Engineering, T009)
Chief Researcher Dr. Remigijus Janulionis (Lithuanian Energy Institute, Technological Sciences, Mechanical Engineering, T009)
Prof. Dr. Hab. Dariusz Mariusz Perkowski (Bialystok University of Technology, Poland, Technological Sciences, Mechanical Engineering, T009)
Senior Researcher Dr. Andrius Vilkauskas (Kaunas University of Technology, Technological Sciences, Mechanical Engineering, T009)
Dissertation defense meeting will be at Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: T. Vaitkūnas el. dissertation (PDF)
Annotation: Lightweight high strength and durability, corrosion resistance material properties of Carbon and Glass Fiber Reinforced Polymer Composites (CFRP and GFRP) make them attractive to use and even replace metallic parts in many industries, such as aviation, wind energy, civil engineering. Fatigue life prediction of CFRP and GFRP structures is complex due to material structure (different material properties at different directions), difficulties to detect already existing damage or defect and lack of effective numerical modelling approaches. The dissertation combines Digital Image Correlation (DIC) technique as experimental method to identify defect or damage in composite structures and peridynamics with kinetic theory of fracture as numerical methods to predict defect/damage growth and fatigue life of composite structures. Due to DIC non-contact features material defects/damages are detected from unevenness in strain field measured directly on operating structure surface. Peridynamics is capable of simulating any defect/damage growth without additional techniques, unlike conventional finite element methods. The kinetic theory of fracture model, once calibrated for symmetric cyclic loading, can be applied to any different cyclic loading conditions without additional experimental tests to find the model coefficients. All of the above mentioned methods significantly improve existing fatigue life prediction approaches, resulting in a novel fatigue life prediction methodology for composites, which due to minimal experimental testing and effective modelling capabilities becomes attractive to use in various industries related to composites.
September 4 d. 10:00
Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
Įtraukti į iCal
