Applications of the Topological Derivative Method

The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse problems. It also introduces the theory in singularly perturbed geometrical domains using selected examples. Recognized as a robust numerical technique in engineer...

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Bibliographic Details
Main Authors: Novotny, Antonio André (Author, http://id.loc.gov/vocabulary/relators/aut), Sokołowski, Jan (http://id.loc.gov/vocabulary/relators/aut), Żochowski, Antoni (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Systems, Decision and Control, 188
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse problems. It also introduces the theory in singularly perturbed geometrical domains using selected examples. Recognized as a robust numerical technique in engineering applications, such as topology optimization, inverse problems, imaging processing, multi-scale material design and mechanical modeling including damage and fracture evolution phenomena, the topological derivative method is based on the asymptotic approximations of solutions to elliptic boundary value problems combined with mathematical programming tools. The book presents the first order topology design algorithm and its applications in topology optimization, and introduces the second order Newton-type reconstruction algorithm based on higher order topological derivatives for solving inverse reconstruction problems. It is intended for researchers and students in applied mathematics and computational mechanics interested in the mathematical aspects of the topological derivative method as well as its applications in computational mechanics.
Physical Description:XIV, 212 p. 62 illus., 9 illus. in color. online resource.
ISBN:9783030054328
ISSN:2198-4182 ;
DOI:10.1007/978-3-030-05432-8