Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2009
Genre:	Naturwissensch., Medizin, Technik
	B / Calculus of variations / Calculus of Variations and Optimal Control; Optimization / Calculus of Variations and Optimization / Computational Intelligence / Computer-Aided Design (CAD) / Computer-aided engineering / Computer-Aided Engineering (CAD, CAE) and Design / engineering / Engineering Design / Konstruktion, Entwurf / Maschinenbau# Festkörpermechanik / Mechanics / Mechanics of solids / Mechanics, Applied / Optimization / Solid Mechanics / Technical design mehr...
ISBN:	9789048125173
EAN-Code:	9789048125173
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#162 - Solid Mechanics and Its Applications
Dimensionen:	H 235 mm / B 155 mm / D 25 mm
Gewicht:	1160 gr
Seiten:	233
Illustration:	XII, 233 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This monograph is devoted to the exposition of new ways of formulating problems of structural optimization with incomplete information and techniques of solution. Research results concerning the optimum shape and structural properties of the bodies subjected to external loadings are recapitulated. Problems of optimal design with incomplete information, accounting for the interaction between the structure and its environment, properties of materials, existence of initial damages and damage accumulation are studied. This volume treats overcoming the corresponding mathematical difficulties caused by raising local functionals. Most of the book is devoted to the minimax approach using worst case scenarios, i.e. the so-called guaranteed approach. However, the probabilistic approach, that does not guarantee the result, is also described in the monograph, because it gives more "optimistic" results. Also, the mixed probabilistic guaranteed approach is discussed and applied for the solution of structural optimization problems with uncertainties.