http://repositorio.unb.br/handle/10482/45108
Arquivo | Descrição | Tamanho | Formato | |
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LIVRO_UncertaintyModelingFundamental.pdf | 59,07 MB | Adobe PDF | Visualizar/Abrir |
Título: | Uncertainty modeling : fundamental concepts and models |
Autor(es): | Jorge, Ariosto Bretanha (ed.) Anflor, Carla Tatiana Mota (ed.) Gomes, Guilherme Ferreira (ed.) Carneiro, Sergio Henrique da Silva (ed.) |
ORCID: | https://orcid.org/0000-0002-8631-1381 https://orcid.org/0000-0003-3941-8335 https://orcid.org/0000-0003-0811-6334 https://orcid.org/0000-0001-6669-2255 |
Assunto: | Mecânica computacional Integridade de materiais Modelos do problema direto |
Data de publicação: | 2022 |
Editora: | Universidade de Brasília |
Referência: | JORGE, Ariosto Bretanha (ed.) et al. Uncertainty modeling: fundamental concepts and models. Brasília: Cubo, 2022. x, 743 f., il. DOI 10.4322/978-65-86503-88-3. (Book series indiscrete models, inverse methods, & uncertainty modeling in structural integrity, 3). Disponível em: https://doi.editoracubo.com.br/10.4322/978-65-86503-88-3.pdf. Acesso em: 04 nov. 2022. |
Resumo: | This book series represents a commendable effort in compiling the latest developments on three important Engineering subjects: discrete modeling, inverse methods, and uncertainty structural integrity. Although academic publications on these subjects are plenty, this book series may be the first time that these modern topics are compiled together, grouped in volumes, and made available for the community. The application of numerical or analytical techniques to model complex Engineering problems, fed by experimental data, usually translated in the form of stochastic information collected from the problem in hand, is much closer to real-world situations than the conventional solution of PDEs. Moreover, inverse problems are becoming almost as common as direct problems, given the need in the industry to maintain current processes working efficiently, as well as to create new solutions based on the immense amount of information available digitally these days. On top of all this, deterministic analysis is slowly giving space to statistically driven structural analysis, delivering upper and lower bound solutions which help immensely the analyst in the decisionmaking process. All these trends have been topics of investigation for decades, and in recent years the application of these methods in the industry proves that they have achieved the necessary maturity to be definitely incorporated into the roster of modern Engineering tools. The present book series fulfills its role by collecting and organizing these topics, found otherwise scattered in the literature and not always accessible to industry. Moreover, many of the chapters compiled in these books present ongoing research topics conducted by capable fellows from academia and research institutes. They contain novel contributions to several investigation fields and constitute therefore a useful source of bibliographical reference and results repository. The Latin American Journal of Solids and Structures (LAJSS) is honored in supporting the publication of this book series, for it contributes academically and carries technologically significant content in the field of structural mechanics. |
Unidade Acadêmica: | Faculdade UnB Gama (FGA) |
Licença: | (CC BY NC ND) Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
DOI: | https://doi.org/10.4322/978-65-86503-88-3 |
Publicação associada: | https://repositorio.unb.br/handle/10482/44535 |
Aparece nas coleções: | Livros e afins |
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