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Form-Optimizing Processes in Biological Structures 291 Fig. 16. Closest packing chart, Spheres as Morphological Units [4 Pearce pp57] 5Structural Optimization in Engineering Genetic algorithms In engineering fields, accomplishing an objective with a minimum of effort, either in terms of material, time or other expense, is a basic activity (Figs. 18, 19 and 20). For this reason it is easy to understand the interest designers have in different optimization techniques. Mathematical, as well as, model based tools have traditionally been
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TEXTILE COMPOSITES AND INFLATABLE S
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Textile Composites and Inflatable S
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Table of Contents Preface .........
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PREFACE The objective of this book
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2 Rosemarie Wagner can be evaluated
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4 Rosemarie Wagner The tension forc
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6 Rosemarie Wagner The tension stre
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8 Rosemarie Wagner Fig. 10. Model d
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10 Rosemarie Wagner Fig. 12. Influe
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12 Rosemarie Wagner Length Lx x = L
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14 Rosemarie Wagner net with triang
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16 Rosemarie Wagner 7. Bletzinger K
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18 Erik Moncrieff Structural Engine
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20 Erik Moncrieff are, by definitio
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22 Erik Moncrieff 3 Modelling Texti
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24 Erik Moncrieff which seek to mod
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26 Erik Moncrieff high level optimi
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28 Erik Moncrieff Developments in c
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30 Lothar Grundig, ¨ Dieter Str¨
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Finite Element Analysis of Membrane
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x 1 Finite Element Analysis of Memb
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and Finite Element Analysis of Memb
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6 Numerical Examples Finite Element
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6.4 Inflation of a Balloon Finite E
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7Closure Finite Element Analysis of
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Applications of a Rotation-Free Tri
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2 3 Applications of a Rotation-Free
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in Applications of a Rotation-Free
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(a) DIAPHRAGM α =40 300 SYMMETRY Z
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FE Analysis of Membrane Systems Inc
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Wrinkles in Square Membranes Y.W. W
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Wrinkles in Square Membranes 111 ra
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1 R T 2=T 1 T 1 =T 2 L T1 =T2 L (a)
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R wrin -r 1 R r 1 w θ r Wrinkles i
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Wrinkles in Square Membranes 117 fo
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C (b) B Wrinkles in Square Membrane
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Wrinkles in Square Membranes 121 by
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F.E.M. for Prestressed Saint Venant
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with: F.E.M. for Prestressed Saint
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OY axis (in) F.E.M. for Prestressed
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Equilibrium Consistent Anisotropic
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5 Equilibrium Consistent Anisotropi
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154 T. Rumpel, K. Schweizerhof and
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174 M. Majowiecki - the necessity t
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176 M. Majowiecki 1.1 Some Wide Spa
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178 M. Majowiecki Fig. 4. Sliding a
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180 M. Majowiecki 10 0 10 -1 10 -2
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182 M. Majowiecki 40 30 20 10 0 -10
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184 M. Majowiecki where For a finit
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186 M. Majowiecki Fig. 19. Aeroelas
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188 M. Majowiecki µ =Vector of mea
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190 M. Majowiecki ∆ε of all cabl
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192 M. Majowiecki Fig. 25. Stabiliz
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194 M. Majowiecki Acceleration m/se
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196 Bernard Maurin and René ´ Mot
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214 Bernd Kroplin ¨ Fig. 1.Olympic
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216 Bernd Kroplin ¨ Fig. 5. Inflat
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218 Bernd Kroplin ¨ manner as the
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220 Bernd Kroplin ¨ The Flying Roo
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222 Romuald Tarczewski However in a
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224 Romuald Tarczewski Post-tension
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226 Romuald Tarczewski Fig. 5. Sche
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228 Romuald Tarczewski scarped). Fi
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230 Romuald Tarczewski Fig. 12. Int
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232 Romuald Tarczewski 5.3 Air Supp
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234 Romuald Tarczewski Fig. 18. Cyl
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236 Romuald Tarczewski Self-erectin
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238 Romuald Tarczewski Inflated bri
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Experiences in the Design Analysis
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Oscillate sections Experiences in t
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260 B. Defoort,V.Peypoudat, M.C. Be
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262 B. Defoort,V.Peypoudat, M.C. Be
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Page 574: Form-Optimizing Processes in Biolog
Page 578: Fig. 3. Rendered computer model: Te
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Page 588: 292 Edgar Stach Fig. 17. Various ge
Page 592: 294 Edgar Stach Fig. 20. SKO method
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Page 600: 298 Edgar Stach Fullerene 5 The sma
Page 604: 300 Edgar Stach To take Fuller’s
Page 608: 302 Edgar Stach Figs. 47-49. The me
Page 612: Making Blobs with a Textile Mould A
Page 616: Making Blobs with aTextile Mould 30
Page 624: Fig. 11. Bending for power, a pole
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Fig. 30. To create a declining faca
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Making Blobs with aTextile Mould 31
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7Conclusion Making Blobs with aText
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