Abstract: A physical property map image generation apparatus performs: acquiring, for each pattern of a material, physical property information indicating a physical property quantity for each physical property of a product; and generating a self-organizing map and a physical property map image. A position in a map space and a physical property vector indicating a value related to a physical property quantity for each type of physical properties of the product are assigned to each node on the self-organizing map. On the physical property map image 40, each of the nodes arranged in the map space is represented by a color assigned to that node. For each node, each of two or three base color components of a color assigned to the node is determined based on a value that a physical property vector assigned to that node indicates for a physical property corresponding to that base color.

Abstract: A singular material detection apparatus (2000) acquires, for each of a plurality of materials (60), material specification information (10) representing material specifications of the material (60) and physical property information (20) indicating physical properties of a product (70) that can be generated by using the material (60). The singular material detection apparatus (2000) generates a self-organizing map (30) by using the physical property information (20). The singular material detection apparatus (2000) assigns each of pieces of material specification information (10) to one of nodes based on the physical property information (20) corresponding to that piece of the material specification information (10). Then, the singular material detection apparatus (2000) detects, from among the nodes to which the pieces of material specification information (10) are assigned, a singular node located at a singular position in a map space.

Abstract: A map image generation apparatus acquires material specification information representing a material specification of a material and physical property information representing a physical property of a product. The map image generation apparatus generates a self-organizing map by using the physical property information. A position in a map space, and a physical property vector indicating, for each of a plurality of types of physical properties of the product, a value related to a physical property quantity of the physical property are assigned to each of nodes on the self-organizing map. The map image generation apparatus assigns, by using the material specification information, a specification vector indicating a value related to the material specification to each of the nodes. The map image generation apparatus generates a map image in which the nodes are clustered or colored based on the specification vectors.

Abstract: An element splitting method to be applied to a finite element analysis. The method includes: splitting the object region by a Delaunay triangulation by using the coordinate of the point on the boundary line, as a nodal point; disposing circles not to intersect with one another, in the object region, by a Monte Carlo method, the Lawson's search algorithm and a predetermined function; provisionally moving the center coordinate of the one circle by specifying six circles having minimum intervals from one circle by the Monte Carlo method, to adopt the center coordinate after movement when the value of the degree of dispersion ? after the movement falls below that before the movement; and splitting the object region by a Delaunay triangulation by using the coordinate of the point on the boundary line and the center coordinate, as nodal points.

Abstract: A bonded part peeling shape identification device includes: a processor for obtaining measurement value information indicating a spectrum from an output light of an optical fiber sensor arranged in a bonded part, the optical fiber sensor outputting a light in which the spectrum is changed according to a strain; for carrying out a first shape identification calculation using a strain calculated based on the measurement value information, and a second shape identification calculation by a spectral shape of the output light based on the measurement value information; and for identifying a peeling shape of the bonded part based on an identification result of the first shape identification calculation and an identification result of the second shape identification calculation.

Abstract: A bonded part peeling shape identification device includes: a processor for obtaining measurement value information indicating a spectrum from an output light of an optical fiber sensor arranged in a bonded part, the optical fiber sensor outputting a light in which the spectrum is changed according to a strain; for carrying out a first shape identification calculation using a strain calculated based on the measurement value information, and a second shape identification calculation by a spectral shape of the output light based on the measurement value information; and for identifying a peeling shape of the bonded part based on an identification result of the first shape identification calculation and an identification result of the second shape identification calculation.

Abstract: An element splitting method to be applied to a finite element analysis. The method includes: splitting the object region by a Delaunay triangulation by using the coordinate of the point on the boundary line, as a nodal point; disposing circles not to intersect with one another, in the object region, by a Monte Carlo method, the Lawson's search algorithm and a predetermined function; provisionally moving the center coordinate of the one circle by specifying six circles having minimum intervals from one circle by the Monte Carlo method, to adopt the center coordinate after movement when the value of the degree of dispersion ? after the movement falls below that before the movement; and splitting the object region by a Delaunay triangulation by using the coordinate of the point on the boundary line and the center coordinate, as nodal points.