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탄소성 파괴의 2파라메타법과 파괴평가곡선의 적용성에 관한연구
이종형,곽봉순 金烏工科大學校 産業技術開發硏究院 1998 産業技術開發硏究 Vol.14 No.-
The elastic-plastic fracture toughness. ??IC, and the elastic-plastic fracture resistance curve(J-R curve) were evaluated by using compact specimens for a A533B. Based on those results, the applicability of the two-parameter approach to A533B was examined in this study. The construction of the failure assessment diagram (FAD) was also attempted. The results obtained are summarized as follows; (1) In the application of the two-parameter approach, it is essential to adapt the J-integral as a fracture criterion accouting for the strain-hardening effect. (2) Based on the FAD constructed, it is showen that the whole fracture process, from the fracture initiation to the unstable fracture including the stable crack growth, is predicted precisely for various sizes of specimen. (3) The failure assessment curve(FAC) defined in CEGB Report, R/H/R 6-Rev.3.
이승현,곽봉순,이종형 金烏工科大學校 1998 論文集 Vol.19 No.-
A study on the fatigue divides the whole fatigue domain into six zones and therefore can guide the designer as to which prediction tool to use. being a function of crack length and stress amplitude. The fatigue domain has been divided into six different zones, each governed by a separate fatigue regime. The proposed predictions are to be considered as practical curve fitting relations for special case. but these cases can also be fairly general and useful for design purposes. The fatigue diagram can be used to show that experimental results should only be compared when they were measured in the same fatigue zone. and there by avoiding the possibility of confusion
J적분을 기초로한 파괴평가곡선에 대한 각종 파라미터의 영향에 관한 연구
이종형,곽봉순,이상영 金烏工科大學校 1998 論文集 Vol.19 No.-
The two Parameters method includes Stress Intensity Factor K and True Stress σat the small scale yielding condition, and is also one of the methods which estimate the failure in the arbitrary yielding scale of materials. This study was carried out to investigate each differences of the eight kinds of Failure Assessment Curve(FAC), using J-integral based Failure Assessment Curve. As a result, this paper describes that factor n and αare the strongest factors influencing to J-integral based Failure Assessment Curve.