Journal of the Japan Society for Composite Materials
Online ISSN : 1884-8559
Print ISSN : 0385-2563
ISSN-L : 0385-2563
Volume 27, Issue 4
Displaying 1-4 of 4 articles from this issue
  • Akira TODOROKI, Masafumi SASAI
    2001 Volume 27 Issue 4 Pages 181-187
    Published: July 15, 2001
    Released on J-STAGE: August 11, 2009
    JOURNAL FREE ACCESS
    For the method to optimize stacking sequences and number of plies of composites, the present paper proposes a new intron method. The intron method is developed from the recessive gene like repair method that is employed for implements of stacking-sequence constraints without causing decrease of the design reliability of GA. The intron method is attempted for the optimizations of laminated cylinders to maximize the buckling load and to minimize the number of plies. As a result, the intron method successfully obtained the real optimal stacking sequences and the number of plies without decrease of design reliabilities.
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  • Masayoshi ITOH, Koji INOUE, Norio HIRAYAMA, Masaki SUGIMOTO, Tadao SEG ...
    2001 Volume 27 Issue 4 Pages 188-193
    Published: July 15, 2001
    Released on J-STAGE: August 11, 2009
    JOURNAL FREE ACCESS
    FRPs, reinforced with carbon fiber, SiC fiber and glass fiber, were prepared by using a new thermosetting polymer containing silicon, poly[(phenylsilylene) ethynylene-1, 3-phenyleneethynylene], as a matrix and the characteristics of the FRPs were investigated. The fobrication process has some advantages, such as no need of solvent, no by-products, and low curing temperature (150-210°C). For the FRPs, high heat-, burn- and radiation-resistant properties were obtained. Bending strengths (110-140 MPa) as well as moduli (30 GPa) at room temperature, 200°C, and 400°C were observed to be almost equal respectively, and no change even at 100 MGy of irradiation. Dynamic viscoelasticity and creep of the FRPs were also measured and compared with those of the FRP with polyimide matrix.
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  • Comparison of Response Surfaces and Artificial Neural Networks
    Atsushi IWASAKI, Akira TODOROKI
    2001 Volume 27 Issue 4 Pages 194-200
    Published: July 15, 2001
    Released on J-STAGE: August 11, 2009
    JOURNAL FREE ACCESS
    The present study employs an electric resistance change method for identifications of delamination cracks. For the method, diagnostic tools for the inverse problems to identify the delamination crack location and size from the electric resistance changes are discussed. FEM analyses are conducted to obtain electric resistance changes due to delamination crack creations with fiveelectrode type specimens. By comparisons of the estimations with the Artificial Neural Networks (ANNs) and with the response surfaces (RS), a better diagnostic tool is discussed in detail. As a result, because of overlearning of neural network, the presumed error of new data with ANNs is large, and the RS using quadratic polynomials is a better tool than ANNs for identifications of delamination crack location and size using electric resistance change.
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  • Hiromasa ADACHI, Teruo HASEGAWA
    2001 Volume 27 Issue 4 Pages 201-206
    Published: July 15, 2001
    Released on J-STAGE: August 11, 2009
    JOURNAL FREE ACCESS
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