[HTML][HTML] Prediction of pull-out behavior of timber glued-in glass fiber reinforced polymer and steel rods under various environmental conditions based on ANN and …
This study employs soft computing techniques, including artificial neural network (ANN)
models and gene expression programming (GEP), to enhance the prediction of ultimate load …
models and gene expression programming (GEP), to enhance the prediction of ultimate load …
Prediction model for bearing surface friction coefficient in bolted joints based on GA-BP neural network and experimental data
W Chen, Y Li, Z Liu, C Zhang, Y Zhao, X Yan - Tribology International, 2025 - Elsevier
A method has been developed to quantify the bearing surface friction coefficient in bolted
joints based on the mechanics of the tightening process. By measuring the surface …
joints based on the mechanics of the tightening process. By measuring the surface …
Experimental study of novel wrapped CFRP-strengthened CFS-to-sheathing screw connections
L Jiang, X Zhang, Y Hu, R Liu, L Jiang - Thin-Walled Structures, 2023 - Elsevier
Cracking damage of the sheathing wallboards in screw connections is the typical failure
mode of cold formed steel (CFS) structures under seismic effects, which limits the shear …
mode of cold formed steel (CFS) structures under seismic effects, which limits the shear …
[PDF][PDF] Modern Methods for Modelling Bolted Joints at the Assembly Stage–A Systematic Review
R Grzejda - Engineering World, 2023 - researchgate.net
The main aim of the paper is to catalog ways of modeling bolted joints and introducing bolt
preload using the finite element method. The paper presents models of bolted joints …
preload using the finite element method. The paper presents models of bolted joints …