Numerical prediction of low-cycle fatigue crack propagation in cruciform welded joints

Abstract Low-cycle fatigue is a major cause of damage in steel structures due to the accumulation of large plastic deformations. In particular, welded joints are prone to low-cycle fatigue failure due to large strain concentration under cyclic loads, such as those caused by earthquakes. Therefore, assessing and predicting low-cycle fatigue cracking in welded joints is crucial for preventing significant damage. This study aimed to predict low-cycle fatigue crack propagation in cruciform welded joints using a cyclic J-integral (Δ J ), which is a criterion for fatigue crack growth based on elasto-plastic fracture mechanics. Calculation of Δ J was carried out by 3D finite-element (FE) analysis with a sub-modeling technique. Low-cycle fatigue tests were performed on fully and partially penetrated welded specimens, and low-cycle fatigue cracks were experimentally observed at the weld toe. To simulate the experimental conditions, 3D FE models that consider each weld profile were created, and Δ J was calculated using the contour integration method. The crack growth rate was evaluated using the modified Paris law, expressed as Δ J , and the predicted fatigue crack propagation behavior was compared with that in the experiments. The predicted crack propagation was highly consistent with the experimental results in all cases. These results demonstrate that the Δ J -based approach can effectively predict low-cycle fatigue crack growth in welded joints.

Authors

Institutions

Publication Details

Journal
Welding in the World
Published
2026-06-18
DOI
https://doi.org/10.1007/s40194-026-02528-6
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical prediction of low-cycle fatigue crack propagation in cruciform welded joints

Takeshi Hanji, Kazuo Tateishi, Kyungmo LIM, Masaru Shimizu
Welding in the World
Fatigue and fracture mechanics
article

Numerical prediction of low-cycle fatigue crack propagation in cruciform welded joints

Takeshi Hanji, Kazuo Tateishi, Kyungmo LIM, Masaru Shimizu
article en

Abstract

Abstract Low-cycle fatigue is a major cause of damage in steel structures due to the accumulation of large plastic deformations. In particular, welded joints are prone to low-cycle fatigue failure due to large strain concentration under cyclic loads, such as those caused by earthquakes. Therefore, assessing and predicting low-cycle fatigue cracking in welded joints is crucial for preventing significant damage. This study aimed to predict low-cycle fatigue crack propagation in cruciform welded joints using a cyclic J-integral (Δ J ), which is a criterion for fatigue crack growth based on elasto-plastic fracture mechanics. Calculation of Δ J was carried out by 3D finite-element (FE) analysis with a sub-modeling technique. Low-cycle fatigue tests were performed on fully and partially penetrated welded specimens, and low-cycle fatigue cracks were experimentally observed at the weld toe. To simulate the experimental conditions, 3D FE models that consider each weld profile were created, and Δ J was calculated using the contour integration method. The crack growth rate was evaluated using the modified Paris law, expressed as Δ J , and the predicted fatigue crack propagation behavior was compared with that in the experiments. The predicted crack propagation was highly consistent with the experimental results in all cases. These results demonstrate that the Δ J -based approach can effectively predict low-cycle fatigue crack growth in welded joints.

Welding in the World
Nagoya University (JP)
Sustainable cities and communities
Openalex Percentile: Top 10%
Fatigue and fracture mechanics
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.