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Published on: January 16, 2019
Extremely-Low-Cycle Fatigue Damage for Beam-to-Column Welded Joints Using Structural Details
Lizhen Huang1, Weilian Qu2, Ernian Zhao3
1School of Civil Engineering, Hubei Engineering University, Xiaogan 432000, China.
This study assesses extremely-low-cycle fatigue (ELCF) damage in steel beam-to-column welded joints using critical plane methods. The modified Fatemi-Socie (FS) model, utilizing cruciform load-carrying groove weld (CLG) properties, accurately predicts crack initiation and damage.
Area of Science:
- Structural Engineering
- Materials Science
- Mechanical Engineering
Background:
- Steel structures are vulnerable to seismic activity, leading to fatigue damage in welded joints.
- Accurate evaluation of extremely-low-cycle fatigue (ELCF) is crucial for seismic resilience.
- Existing fatigue models require refinement for complex structural details.
Purpose of the Study:
- To evaluate ELCF damage in beam-to-column welded joints under seismic loading.
- To investigate fatigue damage models based on structural detail parameters.
- To assess the applicability of modified fatigue models using experimental data.
Main Methods:
- Experimental fatigue testing of plate butt weld (PB) and cruciform load-carrying groove weld (CLG) specimens.
- Testing of full-scale steel welded beam-to-column joints to determine stress/strain contributions.
- Modification and comparison of the Fatemi-Socie (FS) and Shang-Wang (SW) fatigue damage models.
Main Results:
- The modified FS model, incorporating CLG fatigue properties, effectively predicts crack initiation life.
- Experimental data validates the use of structural detail parameters in ELCF assessment.
- The study demonstrates the superior performance of the modified FS model with CLG properties.
Conclusions:
- The modified FS model with CLG fatigue properties is suitable for evaluating ELCF damage in seismic-loaded steel joints.
- This approach enables accurate prediction of crack initiation and damage evolution.
- Further research can build upon these findings for advanced damage analysis.
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