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Original Articles

Predicting Ductile Crack Initiation of Steel Bridge Structures Due to Extremely Low-Cycle Fatigue Using Local and Non-Local Models

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Pages 323-349 | Received 02 Jul 2012, Accepted 30 Oct 2012, Published online: 13 Mar 2013
 

Abstract

The strain-based prediction model combining the Miner's rule and Manson-Coffin's relationship provides a local parameter for evaluating the ductile crack initiation of steel structures, and some modified models based on it were proposed to evaluate extremely low-cycle fatigue (ELCF) behaviors of steel structures. Previous research has confirmed these local models to be an accurate index for ductile crack initiation in steel bridge piers, however it is found to quite depend on the mesh size of the numerical model used. In this study, a non local damage parameter is presented and successfully applied to ductile crack initiation life assessment of steel bridge piers subjected to earthquake-type cyclic loading. The non local damage parameter is based on averaging the strains over the effective plane using a weight function in the exponential form, and introduces the non local damage parameter to replace the local state variable. Finite element analysis with three different mesh sizes is employed. Comparisons of the local and non local solutions with those of experiments indicate that the non local prediction model can predict the ductile crack initiation of steel bridge piers with good accuracy regardless of the specimen geometries and loading histories, meanwhile the mesh independent nature of the non local model is also demonstrated.

Acknowledgments

The first author is thankful for financial support from the JSPS postdoctoral fellowship program for foreign researchers (Grant No. 12067). This article is supported in part by grants from the JSPS Grants-in-Aid for Scientific Research (C) (No. 24560588), and the Advanced Research Center for Natural Disaster Risk Reduction, Meijo University, which is supported by Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.

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