The Feature-Driven Method for Structural Optimization
Autor Weihong Zhang, Ying Zhouen Limba Engleză Paperback – 5 noi 2020
This volume presents a high-performance optimization method adapted to engineering structures—a novel perspective that will help engineers in the computation, modeling and design of advanced structures.
- Integrates two independent methods - structural optimization and feature-based design—into one framework
- Adapts the high performance optimization method to the practice of designing engineering structures
- Provides numerical evidence for the effectiveness and potential of the methods described
- Works within a computer-aided design framework to develop a novel structural optimization methodology
- Presents engineering features as the basic design primitives in structural optimization
Preț: 795.96 lei
Preț vechi: 1020.79 lei
-22% Nou
Puncte Express: 1194
Preț estimativ în valută:
152.32€ • 158.06$ • 127.32£
152.32€ • 158.06$ • 127.32£
Carte tipărită la comandă
Livrare economică 08-22 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780128213308
ISBN-10: 0128213302
Pagini: 350
Ilustrații: 300 illustrations (50 in full color)
Dimensiuni: 152 x 229 x 24 mm
Greutate: 0.47 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128213302
Pagini: 350
Ilustrații: 300 illustrations (50 in full color)
Dimensiuni: 152 x 229 x 24 mm
Greutate: 0.47 kg
Editura: ELSEVIER SCIENCE
Public țintă
Engineers involved in structural design and optimization; Researchers and professional engineers in mathematics for engineering, optimization, computational intelligence and computational methods in civil and structural engineering.Cuprins
1. Introduction2. Level-set functions and parametric functions3. Basis operations of level-set functions4. Structural analysis by B-spline finite cell method5. Feature-based modelling and sensitivity analysis for topology optimization6. Feature-driven optimization method and applications7. Advanced applications of feature-driven optimization in problems including design-dependent loads8. Advanced applications of feature-driven optimization for additive manufacturing