Proceedings of the 8th International Conference on Fracture, Fatigue and Wear

FFW 2020, August 26-27 2020
1. Auflage 2021
ISBN: 978-981-15-9892-0
Verlag: Springer Nature Singapore

Buch, Englisch, 769 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1326 g

Reihe: Lecture Notes in Mechanical Engineering

This proceedings gather a selection of peer-reviewed papers presented at the 8th International Conference on Fracture Fatigue and Wear (FFW 2020), held as a virtual conference on 26–27 August 2020. The contributions, prepared by international scientists and engineers, cover the latest advances in and innovative applications of fracture mechanics, fatigue of materials, tribology, and wear of materials. In addition, they discuss industrial applications and cover theoretical and analytical methods, numerical simulations and experimental techniques. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of fracture fatigue and wear.

Zielgruppe

Research

Autoren/Hrsg.

Abdel Wahab, Magd

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik

Inhaltsverzeichnis

The Folded Wiener Process for Non negative Non monotone Degradation Processes.- Crowd Management for Power Generation: A critical analysis on the existing materials and methods.- Damage evaluation of free-free beam based on vibration testing.- A comparative study on indentation and flattening contacts.- Impact of abrasive blasting media on the strength of steel sheets adhesively bonded joints.- Determination of the effective stiffness of half-open cross-section bars and orthotropic steel deck of a truss bridge using model updating.- A study on optimal design of longitudinal shape for improving small-overlap performance.- Investigation of Flow Forming Process and Heat Treatment Effects on 2024 Aluminium Tubes.- Application of improved artificial neural network to stiffness reduction analysis of truss joints in a railway bridge.

Über Autor(innen)

Prof. Magd Abdel Wahab is a Full Professor of applied mechanics in the Faculty of Engineering and Architecture at Ghent University, Belgium, and Adjunct Full Professor in several universities in Vietnam and China. He received his B.Sc. in Civil Engineering and his M.Sc. in Structural Mechanics, both from Cairo University. He completed his Ph.D. in Fracture Mechanics at KU Leuven, Belgium and was awarded the degree of Doctor of Science from the University of Surrey. He has published more than 460 scientific papers in solid mechanics and dynamics of structures and edited more than 25 books and proceedings. His research interests include fracture mechanics, damage mechanics, fatigue of materials, durability, and dynamics and vibration of structures.