Fracture Mechanics and Fatigue Design in Metallic Materials

Edited by
December 2021
180 pages
  • ISBN978-3-0365-2730-7 (Hardback)
  • ISBN978-3-0365-2731-4 (PDF)

This book is a reprint of the Special Issue Fracture Mechanics and Fatigue Design in Metallic Materials that was published in

Chemistry & Materials Science

The accumulation of damage and the development of fatigue cracks under the influence of loads is a common phenomenon that occurs in metals. To slow down crack growth and ensure an adequate level of safety and the optimal durability of structural elements, experimental tests and simulations are required to determine the influence of various factors. Such factors include, among others, the impact of microstructures, voids, notches, the environment, etc. Research carried out in this field and the results obtained are necessary to guide development toward the receipt of new and advanced materials that meet the requirements of the designers. This Special Issue aims to provide the data, models and tools necessary to provide structural integrity and perform lifetime prediction based on the stress (strain) state and, finally, the increase in fatigue cracks in the material.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
fatigue; fracture; very-high cycle; high-entropy alloy; powder metallurgy; fish eye; crack branching behavior; micromechanical analysis; crack propagation path; welded joints; stress concentration; vibration-based fatigue; ultra-high frequency; very high cycle fatigue; fatigue test; titanium alloy; hydrogen re-embrittlement; environmentally assisted cracking; galvanic protection; high strength steel; crack front shape; structural plates; through-the-thickness crack; steady-state loading conditions; small-scale yielding; pearlitic steel; CFRP patches; crack retardation; fatigue crack growth; failure analysis; fatigue variability; alloy 625; thin tube; fractography; microstructure; aluminum hand-hole; nonreinforced hand-hole; fatigue test; design S-N curve; high cycle fatigue; CP Ti; stress amplitude; fatigue crack propagation; crack growth rate; roughness-induced crack closure; fracture toughness; machine learning; artificial neural network; predictor; yield stress; tensile strength; specimen size; 2524-T3 aluminum alloy; fatigue; corrosion; crack propagation; fracture; n/a