LEADER 01131nas 2200397 a 450 001 996205243203316 005 20221206232808.0 011 $a1090-2716 035 $a(OCoLC)36943370 035 $a(CKB)954922645031 035 $a(CONSER)sn 97004520 035 $a(DE-599)ZDB1469164-4 035 $a(EXLCZ)99954922645031 100 $a19970521a19uu9999 sy a 101 0 $aeng 135 $aurcnu||||| 200 10$aJournal of computational physics$b[e-journal] 210 $aOrlando, Fla. $cAcademic Press 300 $aRefereed/Peer-reviewed 311 $a0021-9991 517 $aJournal of Computational Physics 531 $aJ COMPUT PHYS 531 $aJ COMPUT PH 531 0 $aJ. comput. phys. 531 0 $aJ. comput. phys. 531 $aJ. COMPUT. PHYS 606 $aMathematical physics$vPeriodicals 606 $aPhysics$xData processing$vPeriodicals 608 $aPeriodicals. 615 0$aMathematical physics 615 0$aPhysics$xData processing 676 $a530 906 $aJOURNAL 912 $a996205243203316 996 $aJournal of computational physics$9104539 997 $aUNISA LEADER 05544nam 2200757Ia 450 001 9910828499203321 005 20200520144314.0 010 $a9786612548734 010 $a9781282548732 010 $a1282548735 010 $a9780470689486 010 $a047068948X 010 $a9780470689479 010 $a0470689471 035 $a(CKB)2670000000013704 035 $a(EBL)496068 035 $a(OCoLC)609858735 035 $a(SSID)ssj0000359808 035 $a(PQKBManifestationID)11278972 035 $a(PQKBTitleCode)TC0000359808 035 $a(PQKBWorkID)10316847 035 $a(PQKB)10209759 035 $a(MiAaPQ)EBC496068 035 $a(Au-PeEL)EBL496068 035 $a(CaPaEBR)ebr10375595 035 $a(CaONFJC)MIL254873 035 $a(PPN)219486808 035 $a(OCoLC)473453379 035 $a(FINmELB)ELB179067 035 $a(Perlego)2767757 035 $a(EXLCZ)992670000000013704 100 $a20091215d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary topology optimization of continuum structures $emethods and applications /$fX. Huang, Y.M. Xie 205 $a2nd ed. 210 $aChichester, West Sussex, U.K. ;$aHoboken, NJ $cWiley$d2010 215 $a1 online resource (237 p.) 300 $aDescription based upon print version of record. 311 08$a9780470746530 311 08$a047074653X 320 $aIncludes bibliographical references and index. 327 $aEVOLUTIONARYTOPOLOGYOPTIMIZATION OFCONTINUUMSTRUCTURES; Contents; Preface; 1 Introduction; 1.1 Structural Optimization; 1.2 Topology Optimization of Continuum Structures; 1.3 ESO/BESO and the Layout of the Book; References; 2 Evolutionary Structural Optimization Method; 2.1 Introduction; 2.2 ESO Based on Stress Level; 2.2.1 Evolutionary Procedure; 2.2.2 Example of Two-bar Frame; 2.2.3 Examples of Michell Type Structures; 2.3 ESO for Stiffness or Displacement Optimization; 2.3.1 Sensitivity Number and Evolutionary Procedure; 2.3.2 Example of a Short Cantilever 327 $a2.3.3 Example of a Beam Structure2.4 Conclusion; References; 3 Bi-directional Evolutionary Structural Optimization Method; 3.1 Introduction; 3.2 Problem Statement and Sensitivity Number; 3.2.1 Problem Statement; 3.2.2 Sensitivity Number; 3.3 Filter Scheme and Improved Sensitivity Number; 3.3.1 Checkerboard and Mesh-dependency Problems; 3.3.2 Filter Scheme for BESO Method; 3.3.3 Stabilizing the Evolutionary Process; 3.4 Element Removal/Addition and Convergence Criterion; 3.5 Basic BESO Procedure; 3.6 Examples of BESO Starting from Initial Full Design 327 $a3.6.1 Topology Optimization of a Short Cantilever3.6.2 Topology Optimization of a Beam; 3.7 Examples of BESO Starting from Initial Guess Design; 3.8 Example of a 3D Structure; 3.9 Mesh-independence Studies; 3.10 Conclusion; References; 4 BESO Utilizing Material Interpolation Scheme with Penalization; 4.1 Introduction; 4.2 Problem Statement and Material Interpolation Scheme; 4.2.1 Problem Statement; 4.2.2 Material Interpolation Scheme; 4.3 Sensitivity Analysis and Sensitivity Number; 4.3.1 Sensitivity Analysis; 4.3.2 Sensitivity Number; 4.4 Examples 327 $a4.4.1 Topology Optimization of a Short Cantilever4.4.2 Topology Optimization of a Beam; 4.4.3 Topology Optimization of a 3D Cantilever; 4.5 Conclusion; Appendix 4.1; References; 5 Comparing BESO with Other Topology Optimization Methods; 5.1 Introduction; 5.2 The SIMP Method; 5.3 Comparing BESO with SIMP; 5.3.1 Comparison of Topology Optimization Algorithms without a Mesh-independency Filter; 5.3.2 Comparison of Topology Optimization Algorithms with a Mesh-independency Filter; 5.3.3 Advantages of the BESO Method and Questions yet to be Resolved 327 $a5.4 Discussion on Zhou and Rozvany (2001) Example5.4.1 Introduction of Zhou and Rozvany (2001) Example; 5.4.2 Is it a Nonoptimal or a Local Optimal Solution?; 5.4.3 Avoidance of Highly Inefficient Local Optimum; 5.5 Conclusion; References; 6 BESO for Extended Topology Optimization Problems; 6.1 Introduction; 6.2 Minimizing Structural Volume with a Displacement or Compliance Constraint; 6.2.1 Sensitivity Analysis and Sensitivity Number; 6.2.2 Determination of Structural Volume; 6.2.3 Examples; 6.3 Stiffness Optimization with an Additional Displacement Constraint; 6.3.1 Sensitivity Number 327 $a6.3.2 Determination of Lagrangian Multiplier 330 $aEvolutionary Topology Optimization of Continuum Structures treads new ground with a comprehensive study on the techniques and applications of evolutionary structural optimization (ESO) and its later version bi-directional ESO (BESO) methods. Since the ESO method was first introduced by Xie and Steven in 1992 and the publication of their well-known book Evolutionary Structural Optimization in 1997, there have been significant improvements in the techniques as well as important practical applications. The authors present these developments, illustrated by numerous interesting and d 606 $aStructural optimization 606 $aTopology 615 0$aStructural optimization. 615 0$aTopology. 676 $a624.1/7713 700 $aHuang$b X$g(Xiaodong),$f1972-$01714963 701 $aXie$b Y. M$01714964 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828499203321 996 $aEvolutionary topology optimization of continuum structures$94109180 997 $aUNINA