Mastinu / Gobbi / Miano Optimal Design of Complex Mechanical Systems

With Applications to Vehicle Engineering
1. Auflage 2007
ISBN: 978-3-540-34355-4
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 359 Seiten

This book presents foundations and practical application of multi-objective optimization methods to Vehicle Design Problems, bolstered with an extensive collection of examples. Opening with a broad theoretical introduction to the optimization of complex mechanical systems and multi-objective optimization methods, the book presents several applications which are extensively exposed here for the first time. The book includes examples of proposed methods to the solution of real vehicle design problems.

Autoren/Hrsg.

Mastinu, Giampiero

Gobbi, Massimiliano

Miano, Carlo

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgements;8
3;Contents;9
4;List of Figures;16
5;List of Tables;23
6;Acronyms;26
7;List of Symbols;28
7.1;Notations;29
7.2;Operators;30
7.3;Chapter 1;30
7.4;Chapter 3;30
7.5;Chapter 5;31
7.6;Chapter 6;31
7.7;Chapter 7;32
7.8;Chapter 8;33
7.9;Chapter 10;35
7.10;Chapter 11;36
7.11;Chapter 12;36
7.12;Subscripts;38
7.13;Chapter 13;39
8;Part I Theory;40
8.1;1 Introduction to the Optimal Design of Complex Mechanical Systems;41
8.1.1;1.1 On the Optimal Design of Complex Systems;41
8.1.2;1.2 Finding the Pareto-optimal Sets;50
8.1.3;1.3 Understanding Pareto-optimal Solutions;59
8.2;2 Engineering Design and Optimal Design of Complex Mechanical Systems: Definitions;63
8.2.1;2.1 Engineering Design;63
8.2.2;2.2 Optimal Design of Complex Mechanical Systems;66
8.2.3;2.3 Complex Systems;68
8.2.4;2.4 System Models;69
8.2.5;2.5 System Performances, Criteria, Objective Functions;70
8.2.6;2.6 System Parameters, Design Variables;71
8.2.7;2.7 Constraints;71
8.2.8;2.8 Space of Design Variables, Space of Objective Functions;72
8.2.9;2.9 Feasible Design Variables Domain, Design Solution;72
8.2.10;2.10 Multi-objective Programming (MOP);72
8.2.11;2.11 Decomposition of Design Problems;82
8.3;3 Multi-objective Optimisation;84
8.3.1;3.1 Methods to Solve Multi-objective Programming ( MOP) Problems;84
8.3.2;3.2 Pareto-optimal Set Generation Methods;85
8.3.3;3.3 Global Sensitivity Analysis;87
8.3.4;3.4 Pareto-optimal Set Computation;93
8.3.5;3.5 Design Synthesis – Choosing a Final Design Solution;120
8.3.6;3.6 Interactive Methods;126
8.3.7;3.7 Symbolical Derivation of PO Sets;132
8.3.8;3.8 Illustrating the Pareto-optimal Set;134
8.4;4 Global Approximation;136
8.4.1;4.1 Global Approximation Techniques;137
8.4.2;4.2 Training Data Generation;138
8.4.3;4.3 Selection of the Global Approximation Model and Fitting of the Model to the Generated Data;139
8.4.4;4.4 Least Squares Regression Polynomial Approximation;141
8.4.5;4.5 Kriging Interpolating Models;143
8.4.6;4.6 Artificial Neural Networks;143
9;Part II Applications;156
9.1;5 Optimal Ride Comfort and Active Safety of Road Vehicles;157
9.1.1;5.1 System Model of a Passively Suspended Vehicle;158
9.1.2;5.2 Passively Suspended Vehicle System Optimisation;168
9.1.3;5.3 System Model of an Actively Suspended Road Vehicle;178
9.1.4;5.4 Actively Suspended Vehicle System Optimisation;183
9.1.5;5.5 Conclusion;193
9.1.6;5.6 Appendix: Tabulated Values of the Integral Form;194
9.2;6 Optimal Handling and Active Safety of Road Vehicles;195
9.2.1;6.1 System Model;196
9.2.2;6.2 Results of the Optimisation;209
9.2.3;6.3 Validation;218
9.2.4;6.4 Conclusion;223
9.3;7 Optimal Design of the Tyre-Suspension System of a Racing Car;226
9.3.1;7.1 System Model;227
9.3.2;7.2 Design Variables;229
9.3.3;7.3 Running Situations and Objective Functions;234
9.3.4;7.4 Search Method;238
9.3.5;7.5 Results;240
9.3.6;7.6 Conclusion;247
9.4;8 Integrated Controls for the Improvement of Ride, Comfort, Handling and Active Safety of Road Vehicles;250
9.4.1;8.1 System Models and Reference Driving Situations;251
9.4.2;8.2 Numerical Application;258
9.4.3;8.3 Conclusions;278
9.5;9 Optimal Design of a Double-Cone Synchroniser;279
9.5.1;9.1 Synchroniser System Model;280
9.5.2;9.2 Formulation of the Design Problem for the Optimisation of a Synchroniser;283
9.5.3;9.3 Method for the Optimal Design of a Synchroniser;287
9.5.4;9.4 Optimal Design of a Synchroniser;292
9.5.5;9.5 Conclusion;294
9.6;10 Optimal Design of the Suspension System of Railway Vehicles;297
9.6.1;10.1 System Model;297
9.6.2;10.2 Validation;308
9.6.3;10.3 Parameter Sensitivity Analysis;310
9.6.4;10.4 Conclusion;317
9.7;11 Optimal Design of the Layout of Railway Passenger Vehicles;318
9.7.1;11.1 Design Aims and Related Objective Functions;319
9.7.2;11.2 Design Variables to Be Tuned;321
9.7.3;11.3 Constraints;321
9.7.4;11.4 Objective Functions;323
9.7.5;11.5 Analysis and Choice of Preferred Optimal Solutions;329
9.7.6;11.6 Conclusion;334
9.8;12 Optimal Design of Helical Spring;336
9.8.1;12.1 Fundamentals of Optimal Design of Helical Springs and Tubular Helical Springs;337
9.8.2;12.2 Composite Tubular Spring Models;341
9.8.3;12.3 Model Validation;351
9.8.4;12.4 Numerical Application;354
9.8.5;12.5 Conclusions;361
9.8.6;12.6 Appendix: Analytical Expression of Critical Load;362
9.9;13 Interactive Optimisation of a Flywheel;364
9.9.1;13.1 System Model;365
9.9.2;13.2 Objective Functions;367
9.9.3;13.3 Design Variables;368
9.9.4;13.4 Results;369
10;References;376
11;Index;388