The Great Rhombicosidodecahedron (V=120) from Biscribed Pentakis Dodecahedron for the case of trisection of its 7th-order segments

[size=85]A polyhedron is constructed whose V=120 vertices are the points of the trisection of the segments the same length 7th-order(g=7) of the [url=https://www.geogebra.org/m/hczvuvhg]Biscribed Pentakis Dodecahedron[/url]. [br] Geometric Constructions are in [url=https://www.geogebra.org/m/p4a5zccm]Applet[/url]: Series of polyhedra obtained by trisection (truncation) different segments of the original polyhedron, and the resulting polyhedra in [url=https://www.geogebra.org/m/uej4qnte]Applet[/url]: Serie of polyhedra obtained by trisection (truncation) segments of the Biscribed Pentakis Dodecahedron.[br][img]data:image/png;base64,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[/img][/size]
1. Generating Elements of mesh modeling the surfaces of convex polyhedron and its dual image
2. Coloring edges and faces of polyhedra
3. Properties of polyhedra
T
[size=85] [url=http://dmccooey.com/polyhedra/TruncatedIcosidodecahedron.html]The great rhombicosidodecahedron[/url] :[/size][br][size=85][table][tr][td]Vertices:  [/td][td]120  (120[3])[/td][/tr][tr][td]Faces:[/td][td]62  (30 squares + 20 regular hexagons + 12 regular decagons)[/td][/tr][tr][td]Edges:[/td][td]180[/td][/tr][/table][br] [url=http://dmccooey.com/polyhedra/BiscribedDisdyakisTriacontahedron.html] Disdyakis Triacontahedron[/url]:[br] Vertices: 62 (30[4] + 20[6] + 12[10])[br]Faces: 120 (acute triangles)[br]Edges: 180 (60 short + 60 medium + 60 long)[/size]

Information: The Great Rhombicosidodecahedron (V=120) from Biscribed Pentakis Dodecahedron for the case of trisection of its 7th-order segments