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This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more “hands-on” manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.
Produkteigenschaften
- Artikelnummer: 9789811972126
- Medium: Buch
- ISBN: 978-981-19-7212-6
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 09.11.2023
- Sprache(n): Englisch
- Auflage: 1. Auflage 2023
- Serie: Engineering Applications of Computational Methods
- Produktform: Kartoniert
- Gewicht: 782 g
- Seiten: 456
- Format (B x H x T): 155 x 235 x 24 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Technische Wissenschaften
- Maschinenbau | Werkstoffkunde
- Maschinenbau
- Konstruktionslehre, Bauelemente, CAD
- Mathematik | Informatik
- Mathematik
- Numerik und Wissenschaftliches Rechnen
- Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften
- Maschinenbau | Werkstoffkunde
- Maschinenbau
- Konstruktionslehre, Bauelemente, CAD