Abstract
This article investigates an energy-based multiscale damage criterion for a biaxial loading case. The criterion incorporates crystal plasticity at the microscale that produces a damage tensor, representing the local damage state derived from a least squares method. The damage tensor, driven by modification of strain energy density on each potential slip system, is averaged from local to grain level to obtain a damage vector for each grain. The Kreisselmeier-Steinhauser function, which produces an envelope function for multiobjective optimization is adopted to predict the failure of a meso-representative volume element, and to calculate the damage index for meso-representative volume element. A weighted averaging method is also used to simultaneously provide the most potential cracking directions for meso-representative volume element. In order to verify that the developed method is capable of producing an acceptable prediction of fatigue damage initiation and growth under multiaxial loading conditions, a cruciform specimen is used for biaxial loading. A biaxial torsion MTS machine is used to conduct fatigue tests on the cruciform specimen. Numerical fatigue analysis is also performed based on the multiscale fatigue damage criterion. Comparing the simulation results with the experimental data shows that the multiscale fatigue damage model can provide acceptable prediction of failure of meso-representative volume element and crack direction.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2084-2096 |
| Number of pages | 13 |
| Journal | Journal of Intelligent Material Systems and Structures |
| Volume | 24 |
| Issue number | 17 |
| DOIs | |
| State | Published - Nov 2013 |
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Keywords
- Al alloys
- multiscale modeling
- structural health monitoring
ASJC Scopus subject areas
- Materials Science(all)
- Mechanical Engineering
Cite this
Fatigue damage prediction of cruciform specimen under biaxial loading. / Luo, Chuntao; Mohanty, Subhasish; Chattopadhyay, Aditi.
In: Journal of Intelligent Material Systems and Structures, Vol. 24, No. 17, 11.2013, p. 2084-2096.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Fatigue damage prediction of cruciform specimen under biaxial loading
AU - Luo, Chuntao
AU - Mohanty, Subhasish
AU - Chattopadhyay, Aditi
PY - 2013/11
Y1 - 2013/11
N2 - This article investigates an energy-based multiscale damage criterion for a biaxial loading case. The criterion incorporates crystal plasticity at the microscale that produces a damage tensor, representing the local damage state derived from a least squares method. The damage tensor, driven by modification of strain energy density on each potential slip system, is averaged from local to grain level to obtain a damage vector for each grain. The Kreisselmeier-Steinhauser function, which produces an envelope function for multiobjective optimization is adopted to predict the failure of a meso-representative volume element, and to calculate the damage index for meso-representative volume element. A weighted averaging method is also used to simultaneously provide the most potential cracking directions for meso-representative volume element. In order to verify that the developed method is capable of producing an acceptable prediction of fatigue damage initiation and growth under multiaxial loading conditions, a cruciform specimen is used for biaxial loading. A biaxial torsion MTS machine is used to conduct fatigue tests on the cruciform specimen. Numerical fatigue analysis is also performed based on the multiscale fatigue damage criterion. Comparing the simulation results with the experimental data shows that the multiscale fatigue damage model can provide acceptable prediction of failure of meso-representative volume element and crack direction.
AB - This article investigates an energy-based multiscale damage criterion for a biaxial loading case. The criterion incorporates crystal plasticity at the microscale that produces a damage tensor, representing the local damage state derived from a least squares method. The damage tensor, driven by modification of strain energy density on each potential slip system, is averaged from local to grain level to obtain a damage vector for each grain. The Kreisselmeier-Steinhauser function, which produces an envelope function for multiobjective optimization is adopted to predict the failure of a meso-representative volume element, and to calculate the damage index for meso-representative volume element. A weighted averaging method is also used to simultaneously provide the most potential cracking directions for meso-representative volume element. In order to verify that the developed method is capable of producing an acceptable prediction of fatigue damage initiation and growth under multiaxial loading conditions, a cruciform specimen is used for biaxial loading. A biaxial torsion MTS machine is used to conduct fatigue tests on the cruciform specimen. Numerical fatigue analysis is also performed based on the multiscale fatigue damage criterion. Comparing the simulation results with the experimental data shows that the multiscale fatigue damage model can provide acceptable prediction of failure of meso-representative volume element and crack direction.
KW - Al alloys
KW - multiscale modeling
KW - structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=84886909943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886909943&partnerID=8YFLogxK
U2 - 10.1177/1045389X12455726
DO - 10.1177/1045389X12455726
M3 - Article
AN - SCOPUS:84886909943
VL - 24
SP - 2084
EP - 2096
JO - Journal of Intelligent Material Systems and Structures
JF - Journal of Intelligent Material Systems and Structures
SN - 1045-389X
IS - 17
ER -