Inverse Identification of Residual Stress Distribution in Aluminium Alloy Components Based on Deep Learning
Residual stress within a structural component can significantly affect the mechanical performance and stability of a structure. Therefore, it is crucial to find a way to determine the residual stress distribution to maintain the normal working of structures. Conventional methods for residual stress...
Main Authors: | Tulin Xiong, Lu Wang, Xianzhi Gao, Guangyan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/3/1195 |
Similar Items
-
An Inverse Identification Procedure for the Evaluation of Equivalent Loading Conditions for Simplified Numerical Models in Abaqus
by: Olivier Pantalé, et al.
Published: (2022-06-01) -
Evaluating Residual Stress in Carbon Fiber-Reinforced Polymer (CFRP) at Microscale Using Fiber Push-Out Experiment and Finite Element Modeling
by: Quy Tung Linh Vu, et al.
Published: (2023-06-01) -
Structural Damage Identification Based on Transmissibility in Time Domain
by: Yunfeng Zou, et al.
Published: (2022-01-01) -
RESIDUAL FORCE MINIMUM RANK UPDATE METHOD FOR DAMAGE IDENTIFICATION OF SPACE TRUSS STRUCTURES
by: JIANG Ge, et al.
Published: (2019-01-01) -
A real-time unmeasured dynamic response prediction for nuclear facility pressure pipeline system
by: Seungin Oh, et al.
Published: (2023-07-01)