Zobrazeno 1 - 10
of 96
pro vyhledávání: '"António Andrade‐Campos"'
Autor:
Carla Ferreira, Bárbara Gabriel, Robertt Valente, António Andrade-Campos, João Dias-de-Oliveira, Victor Neto, Sandra Soares, Teresa Carvalho, Cláudia Figueiredo
Publikováno v:
Trends in Higher Education, Vol 3, Iss 1, Pp 142-154 (2024)
The purpose of this paper is to raise important issues in engineering education in the face of contemporary challenges and demands through the voices of different stakeholders in engineering curricula and in the practice of professional engineering.
Externí odkaz:
https://doaj.org/article/d0d8652bf1cc482cab477f8fee72cd58
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 1, Pp 214-236 (2024)
Power generation from fossil fuels has long had a negative impact on the environment. Nowadays, a paradigm shift in power generation is being witnessed, with increasing investment in renewable energy sources. Despite this progress, efficient energy s
Externí odkaz:
https://doaj.org/article/3f610a1e87984857b0828d32cfe84335
Autor:
Leonardo Rumor, António Andrade-Campos
Publikováno v:
Advances in Mechanical Engineering, Vol 14 (2022)
The majority of FEA simulation software offers a library of material properties. However, the included materials are generic or the most common and do not represent the entire materials market. The problem is fairly solved by the material suppliers t
Externí odkaz:
https://doaj.org/article/6800bc1f0683448e90bf5f612bd68c1a
Publikováno v:
Metals, Vol 12, Iss 3, p 427 (2022)
Accurate numerical simulations require constitutive models capable of providing precise material data. Several calibration methodologies have been developed to improve the accuracy of constitutive models. Nevertheless, a model’s performance is alwa
Externí odkaz:
https://doaj.org/article/248a51912182465f9ae32086b567ec19
Publikováno v:
Metals, Vol 9, Iss 3, p 371 (2019)
The development of full-field measurement methods has enabled a new trend of heterogeneous mechanical tests. The inhomogeneous strain fields retrieved from these tests are being widely used in the calibration of constitutive models for sheet metals.
Externí odkaz:
https://doaj.org/article/2a46d0219452435f9f4f644f1234d4b5
Publikováno v:
International Journal of Structural Integrity. 14:74-90
PurposeThis work aims to identify the linear elastic orthotropic material paramters of Pinus pinaster Ait. wood, using full-field measurements and an inverse identification strategy based on the finite element (FE) method updating technique.Design/me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394ceb9ac7298df3b77bb794d8049272
https://doi.org/10.1108/ijsi-04-2022-0063
https://doi.org/10.1108/ijsi-04-2022-0063
Publikováno v:
Key Engineering Materials. 926:2060-2068
Artificial Neural Networks (ANNs) have the potential to provide a different approach to constitutive modelling, with the main advantage that these do not require to postulate a mathematical formulation or identify empirical parameters. Currently, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b53eca5cb05704d22d33f10f9440ee9
https://doi.org/10.4028/p-gy2di7
https://doi.org/10.4028/p-gy2di7
Publikováno v:
Key Engineering Materials. 926:2238-2246
The reliability and predictive accuracy of forming simulation depend on both the material constitutive model and its inherent parameters. As opposed to conventional sheet metal material testing, heterogeneous mechanical tests provide more complex str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6194e51095a3abee64c51e380a1e2240
https://doi.org/10.4028/p-1n7iop
https://doi.org/10.4028/p-1n7iop
Publikováno v:
Key Engineering Materials. 926:2211-2221
Computer-aided engineering systems rely on constitutive models and their parameters to describe the material behaviour. The calibration of more elaborated material models with a larger number of parameters becomes very time and cost consuming. The de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5f482550ad70b70b020b06727c9b17
https://doi.org/10.4028/p-33un7m
https://doi.org/10.4028/p-33un7m
