TY  - CHAP
AU  - Francisco Casanova-del-Angel
AU  - Daniel Hernández-Galicia
AU  - Xochicale-Rojas Hugo Alberto
ED  - Hayri Baytan Ozmen
ED  - H. Ersen Balcioglu
Y1  - 2019-08-08
PY  - 2019
T1  - Construction of an Artificial Neural Network-Based Method to Detect Structural Damage
N2  - Fracture mechanics deals with the cracking behavior of materials, and cracking defines the limit state for many components of engineering systems. Fracture mechanics principles can help us design more robust components to ensure safer airplanes, space shuttles, ships, cranes, buildings, bridges, and mechanical systems. Written by researchers and experts of the field, this book examines recent progress in fracture mechanics applications. Chapters cover such topics as rupture theory, the J-integral, knitted fabric-reinforced polymer composites, and artificial neural networks to detect structural damage, among others. This volume is designed for graduate students, researchers, and practicing engineers.
BT  - Fracture Mechanics Applications
SP  - Ch. 5
UR  - https://doi.org/10.5772/intechopen.87193
DO  - 10.5772/intechopen.87193
SN  - 978-1-83880-449-7
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -