Direct Methods for Limit State of Materials and Structures: Advanced Computational Algorithms and Material Modelling: 101 - Brossura

 
9783031291241: Direct Methods for Limit State of Materials and Structures: Advanced Computational Algorithms and Material Modelling: 101

Sinossi

This book provides an overview of direct methods, such as limit and shakedown analysis, which are intended for avoiding cumbersome step-by-step calculations to determine the limit states of mechanical structures under monotone, cyclic or variable actions with unknown loading history. The book comprises several contributions that demonstrate how tremendous advances in numerical methods, especially in optimization, have contributed to the success of direct methods and their applicability to practical engineering problems in structural mechanics and mechanics of materials. The contents reflect the outcomes of the workshop “Direct Methods for Limit State of Materials and Structures,” held in Cosenza, Italy in June 2022.

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Dalla quarta di copertina

This book provides an overview of direct methods, such as limit and shakedown analysis, which are intended for avoiding cumbersome step-by-step calculations to determine the limit states of mechanical structures under monotone, cyclic or variable actions with unknown loading history. The book comprises several contributions that demonstrate how tremendous advances in numerical methods, especially in optimization, have contributed to the success of direct methods and their applicability to practical engineering problems in structural mechanics and mechanics of materials. The contents reflect the outcomes of the workshop “Direct Methods for Limit State of Materials and Structures,” held in Cosenza, Italy in June 2022.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783031291210: Direct Methods for Limit State of Materials and Structures: Advanced Computational Algorithms and Material Modelling: 101

Edizione in evidenza

ISBN 10:  3031291212 ISBN 13:  9783031291210
Casa editrice: Springer Nature, 2023
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