The effect of cold forming residual stresses in local fatigue approaches: A numerical perspective

Thin-walled structures generally rely on cold-formed mild steel profiles. Due to cold forming, a significant formation of residual stresses impacts their overall fatigue behaviour. In this work, a state-of-the-art framework for fatigue life prediction is proposed and applied to both roll-formed and press-braked full-scale profiles. In summary, the profile’s manufacturing process is numerically simulated to obtain a representative residual stress field. These results are then used as the initial state during a subsequent structural and fatigue analysis. A clear detrimental residual stress effect is verified. Importantly, however, is to note that prediction accuracy increases significantly when these effects are considered. • An advanced framework for fatigue life prediction in full-scale profiles is presented. • Residual stress fields due to cold-forming and pre-forming processes are investigated. • Manufacturing straining history and structural loading unified in a single model. • A clear residual stress effect on numerical fatigue life estimations is verified. • The inclusion of residual stresses increased the predicting accuracy of the model.

Authors

Institutions

Publication Details

Journal
Thin-Walled Structures
Published
2024-09-20
DOI
https://doi.org/10.1016/j.tws.2024.112476
Citations
3
Primary Topic
Structural Load-Bearing Analysis
Type
article
Field-Weighted Citation Impact
0.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effect of cold forming residual stresses in local fatigue approaches: A numerical perspective

José A.F.O. Correia, Abílio M.P. De Jesus, Carlos Souto, Marco Parente
3 citations
Thin-Walled Structures
Structural Load-Bearing Analysis
0.78
article

The effect of cold forming residual stresses in local fatigue approaches: A numerical perspective

José A.F.O. Correia, Abílio M.P. De Jesus, Carlos Souto, Marco Parente
article en
3 citations

Abstract

Thin-walled structures generally rely on cold-formed mild steel profiles. Due to cold forming, a significant formation of residual stresses impacts their overall fatigue behaviour. In this work, a state-of-the-art framework for fatigue life prediction is proposed and applied to both roll-formed and press-braked full-scale profiles. In summary, the profile’s manufacturing process is numerically simulated to obtain a representative residual stress field. These results are then used as the initial state during a subsequent structural and fatigue analysis. A clear detrimental residual stress effect is verified. Importantly, however, is to note that prediction accuracy increases significantly when these effects are considered. • An advanced framework for fatigue life prediction in full-scale profiles is presented. • Residual stress fields due to cold-forming and pre-forming processes are investigated. • Manufacturing straining history and structural loading unified in a single model. • A clear residual stress effect on numerical fatigue life estimations is verified. • The inclusion of residual stresses increased the predicting accuracy of the model.

Thin-Walled StructuresVol. 205
Universidade do Porto (PT)
Fundação para a Ciência e a Tecnologia
Climate action
Openalex Percentile: Top 30%
Structural Load-Bearing Analysis
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The effect of cold forming residual stresses in local fatigue approaches: A numerical perspective — José A.F.O. Correia, Abílio M.P. De Jesus, et al. · Thin-Walled Structures (2024) | TGRS Research Map | TGRS