Back to Search
Start Over
Predictions of compression capacity of randomly corroded WHSJs based on artificial neural network
- Source :
- Mechanics of Advanced Materials and Structures. 29:2156-2164
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- Welded hollow spherical joints (WHSJs) are commonly used in reticulated shell structures. Corrosion on the surface of WHSJs can remarkably reduce their compression capacity. Pitting corrosion is a ...
- Subjects :
- Materials science
Artificial neural network
Mechanical Engineering
General Mathematics
Shell (structure)
02 engineering and technology
Welding
021001 nanoscience & nanotechnology
Compression (physics)
Corrosion
law.invention
020303 mechanical engineering & transports
0203 mechanical engineering
Mechanics of Materials
law
Pitting corrosion
General Materials Science
Composite material
0210 nano-technology
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 15376532 and 15376494
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Mechanics of Advanced Materials and Structures
- Accession number :
- edsair.doi...........2fb41f3be241229b9b315c1626cf10c3