Proceedings of the 8th International Conference on Fracture, Fatigue and Wear FFW 2020, August 26–27 2020 / [electronic resource] : edited by Magd Abdel Wahab. - 1st ed. 2021. - XIV, 769 p. 568 illus., 416 illus. in color. online resource. - Lecture Notes in Mechanical Engineering, 2195-4364 . - Lecture Notes in Mechanical Engineering, .

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.

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.

9789811598937

10.1007/978-981-15-9893-7 doi


Mechanics, Applied.
Solids.
Building materials.
Mathematics—Data processing.
Solid Mechanics.
Structural Materials.
Computational Science and Engineering.

TA349-359

620.105