Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Fernando Pujaico Rivera"'
Autor:
Bianca Batista Barreto, Elisângela Ribeiro, Fernando Pujaico Rivera, Roberto Alves Braga Junior, Bernardo Cândido, Blair McKenzie
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100062- (2023)
Knowledge of surface roughness with the consequent presence of crust in the soil is important information for the rational management of environmental resources. Soil surface roughness can be determined by contact and noncontact methods. Contact meth
Externí odkaz:
https://doaj.org/article/2b33fca8b51a4becbf496539eca06397
Autor:
Eduardo Hélio de Novais Miranda, Rayner Pathele Ferreira, Rodrigo Allan Pereira, Taiane Oliveira Guedes, Fernando Pujaico Rivera, Diogo Antonio Correa Gomes
Publikováno v:
Maderas: Ciencia y Tecnología, Vol 24 (2021)
Non-destructive techniques for characterizing materials in-service have been increasing in importance. Thus, it is relevant to assess the potential of non-destructive techniques for solid materials. This work aimed to determine the modulus of elastic
Externí odkaz:
https://doaj.org/article/1fb80d4956fa48588398319dc43fb443
Publikováno v:
Scientia Agricola, Vol 79, Iss 6 (2021)
ABSTRACT: Several non-destructive testing techniques have been improved and tested in recent years. The non-destructive testing techniques using particle image velocimetry (PIV) and digital image correlation (DIC) differ from conventional testing tec
Externí odkaz:
https://doaj.org/article/c313e38ad5f44bb390d9eee3d048197a
Autor:
Eduardo Hélio de Novais Miranda, Rayner Pathele Ferreira, Rodrigo Allan Pereira, Taiane Oliveira Guedes, Fernando Pujaico Rivera
Publikováno v:
Maderas: Ciencia y Tecnología, Vol 23 (2021)
The aim of this work was to verify the ability to use the Particle Image Velocimetry technique for measurements of dimensional variations resulting from wood retractability of Pinus elliottii wood, initially saturated and with the surface marked with
Externí odkaz:
https://doaj.org/article/2ef6884f3c644138bef46d6c89b91021
Autor:
Taiane Oliveira Guedes, Eduardo Hélio de Novais Miranda, Rayner Pathele Ferreira, Rodrigo Allan Pereira, Fernando Pujaico Rivera, Diogo Antonio Correa Gomes
Publikováno v:
Maderas: Ciencia y Tecnología, Vol 24, Pp 1-8 (2021)
Non-destructive techniques for characterizing materials in-service have been increasing in importance. Thus, it is relevant to assess the potential of non-destructive techniques for solid materials. This work aimed to determine the modulus of elastic
Autor:
Eduardo Hélio de Novais Miranda, Rodrigo Allan Pereira, Taiane Oliveira Guedes, Fernando Pujaico Rivera, Francisco Carlos Gomes, Roberto Alves Braga Júnior, Lucas Henrique Pedrozo Abreu, Larissa Carvalho Vilela Pereira
Publikováno v:
Brazilian Journal of Development. 6:24782-24789
Autor:
Eduardo Hélio de Novais Miranda, Lucas H. P. Abreu, Fernando Pujaico Rivera, Francisco Carlos Gomes, Larissa Carvalho Vilela Pereira, Taiane Oliveira Guedes, Roberto Alves Braga Júnior, Rodrigo Allan Pereira
Publikováno v:
Brazilian Journal of Development. 6:24730-24738
Autor:
Francisco Carlos Gomes, Larissa Carvalho Vilela Pereira, Rodrigo Allan Pereira, Roberto Alves Braga Júnior, Taiane Oliveira Guedes, Eduardo Hélio de Novais Miranda, Fernando Pujaico Rivera, Lucas H. P. Abreu
Publikováno v:
Brazilian Journal of Development. 6:24766-24772
Autor:
Bianca Batista Barreto, Elisângela Ribeiro, Fernando Pujaico Rivera, Roberto Alves Braga Junior, Bernardo Cândido, Blair McKenzie
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Scientia Agricola, Volume: 79, Issue: 6, Article number: e20200247, Published: 01 NOV 2021
Scientia Agricola v.79 n.6 2022
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Vol 79, Iss 6 (2021)
Scientia Agricola v.79 n.6 2022
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Vol 79, Iss 6 (2021)
Several non-destructive testing techniques have been improved and tested in recent years. The non-destructive testing techniques using particle image velocimetry (PIV) and digital image correlation (DIC) differ from conventional testing techniques, a