| Project/Area Number |
60550065
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
材料力学
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| Research Institution | Yokohama National University |
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Principal Investigator |
ANDO Kotoji Yokohama National University Department of Engineering, 工学部, 助教授 (40017992)
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| Co-Investigator(Kenkyū-buntansha) |
SAKAI Yuzuru Yokohama National University Department of Engineering, 工学部, 助手 (90114975)
OGURA Nobukazu Yokohama National University Department of Engineering, 工学部, 教授 (10017949)
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| Project Period (FY) |
1985 – 1986
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| Project Status |
Completed (Fiscal Year 1986)
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| Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1986: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1985: ¥1,600,000 (Direct Cost: ¥1,600,000)
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| Keywords | Carbon steel pipe / Elast-plasto fracture toughness / J-R curve / Compliance / Tearing modulus / Tearing instability / Cyclic J-R curve / J integral / <J_(max)> |
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| Research Abstract |
Elastic-plastic fracture toughness and tearing instability tests under monotonic and cyclic loading have been made by using lTCT specimens. The material used in these tests is a carbon steel pipe made for a nuclear primary system. lTCT specimens with side groove of 2.5mm in depth is extracted from the pipe in L-C direction. The main conclusions are as follows.
(1) This material shows very high fracture toughness of about <J_(lc)> =0.96Mj/ <m^2> . (2) <J_(lc)> , <delta_(ic)> , J-R curve, <T_J^(mat)> and <T_(delta)^(mat)> decrease with increasing temperature. However, deformation rate has a little effect on them. (3) Critical value at instability <J_(inst)> shows on dependence on the compliance of testing system, however it decreases with increasing temperature. (4) Stress ratio R has a little effect on <J_(inst)> under cyclic load. <J_(inst)> under R=0.1 shows a little higher value than that of R=-0.1. (5) <J_(inst)> under R=0.1 is almost equal to the <J_(inst)> under monotonic load. (6) <J_(inst)> under monotonic load shows a very little scatter, and the scatter can be expressed by the weibull distribution function.
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