Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
JNC TN9400 99-009, 39 Pages, 1998/12
In this paper, an approach to the reconstruction of an idealized natural crack of non-vanishing conductivity is proposed with use of signals of eddy current testing. Two numerical models are introduced at first for modeling a Stress Corrosion Crack (SCC) in order it possibly to be represented by a set of crack parameters. A method for rapid prediction of the eddy current testing signals arisen from these idealized cracks is given then by extending a knowledge based fast forward solver developed by authors to the case of a non-vanishing conductivity. On the other hand, the inverse algorithm of conjugate gradient method is improved to reconstruct the crack parameters and is implemented with the pick-up signals and gradients calculated by using the rapid forward solver. Several examples are presented finally for validating the proposed strategy. The results verified that both of the models can give reasonable reconstruction results in case of a low noise level. The model concerning the touch of crack surfaces with a conducting band region surrounded by the crack edge, however, is proved more efficient than the model using a conductivity distribution from the point of view of both reconstruction speed and accuracy.
Tachimori, Shoichi
JAERI 1337, 250 Pages, 1996/05
no abstracts in English
*; Okamoto, Koji*; *; Fumizawa, Motoo
Kashika Joho Gakkai-Shi, 14(SUPPL.1), p.39 - 42, 1994/07
no abstracts in English
*; Okamoto, Koji*; *; Fumizawa, Motoo
The 4th Triennial Int. Symp. on Fluid Control,Fluid Measurement,and Visualization; FLUCOME 94, 0, p.971 - 976, 1994/00
no abstracts in English
; ; ;
JAERI-M 9154, 79 Pages, 1980/11
no abstracts in English
Ito, Mari*; Suzuki, Masaaki*; Hashidate, Ryuta; Takahashi, Keita; Yada, Hiroki; Takaya, Shigeru
no journal, ,
To realize the reasonable and effective maintenance of nuclear power plants, it is essential to optimize the aging management from the viewpoints of both safety and efficiency. However, maintenance scheduling is currently manually handled, which is a time-consuming process because of the large number of components and constraints that must be taken into account when creating a schedule. Besides, there is plenty of room for improvement in the schedules because most of the maintenance requirements are manually checked. This study is to develop an automatic optimization scheduling system using the mathematical technique for addressing the inspection-process-scheduling problem in a sodium-cooled fast reactor plant.