Structural engineering from an inverse problems perspective.

Gallet, A; Rigby, S; Tallman, T N; Kong, X; Hajirasouliha, I; Liew, A; Liu, D; Chen, L; Hauptmann, A; Smyl, D

Gallet, A; Rigby, S; Tallman, T N; Kong, X; Hajirasouliha, I; Liew, A; Liu, D; Chen, L; Hauptmann, A; Smyl, D.

Afiliação

Gallet A; Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
Rigby S; Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
Tallman TN; School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA.
Kong X; Department of Physics and Engineering Science, Coastal Carolina University, Conway, SC, USA.
Hajirasouliha I; Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
Liew A; Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
Liu D; School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.
Chen L; Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
Hauptmann A; Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.
Smyl D; Department of Computer Science, University College London, London, UK.

Proc Math Phys Eng Sci ; 478(2257): 20210526, 2022 Jan.

Article em En | MEDLINE | ID: mdl-35153609

Palavras-chave

inverse problems; machine learning; non-destructive testing and evaluation; smart materials and structures; structural design; structural engineering

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Math Phys Eng Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google