Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Omar Payán-Serrano"'
Autor:
Omar Payán-Serrano, Edén Bojórquez, Julián Carrillo, Juan Bojórquez, Herian Leyva, Ali Rodríguez-Castellanos, Joel Carvajal, José Torres
Publikováno v:
AI, Vol 5, Iss 3, Pp 1496-1516 (2024)
The motivation for using artificial neural networks in this study stems from their computational efficiency and ability to model complex, high-level abstractions. Deep learning models were utilized to predict the structural responses of reinforced co
Externí odkaz:
https://doaj.org/article/a740617a7d8147a9acc0bea8e182cb4c
Autor:
Omar Payán-Serrano, Edén Bojórquez, Juan Bojórquez, Robespierre Chávez, Alfredo Reyes-Salazar, Manuel Barraza, Arturo López-Barraza, Héctor Rodríguez-Lozoya, Edgar Corona
Publikováno v:
Applied Sciences, Vol 7, Iss 6, p 563 (2017)
The aim of this paper is to investigate the prediction of maximum story drift of Multi-Degree of Freedom (MDOF) structures subjected to dynamics wind load using Artificial Neural Networks (ANNs) through the combination of several structural and turbu
Externí odkaz:
https://doaj.org/article/e7adaa4e6ae64639a781fd9da134b33c
Publikováno v:
Earthquake Spectra. 36:62-82
This article discusses the principal features of Rayleigh surface waves generated by basin-edge effects in Mexico City during the Mw7.1 19 September 2017 Puebla–Morelos, Mexico earthquake. Rayleigh waves were extracted from ground motions recorded
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be72db9111c2a360905012f8b982377b
https://doi.org/10.1177/8755293020942547
https://doi.org/10.1177/8755293020942547
Publikováno v:
KSCE Journal of Civil Engineering. 21:1299-1306
Due to the lack of real wind records to perform dynamic analysis of structural systems, civil and structural engineers commonly use simplified and conservative approaches to consider the dynamic effects of wind. With the aim to provide wind records,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa1bf1da253a87ee090595256789ae1a
https://doi.org/10.1007/s12205-016-1460-y
https://doi.org/10.1007/s12205-016-1460-y
Autor:
Alfredo Reyes-Salazar, Edgar Corona, Manuel Barraza, Arturo Lopez-Barraza, Robespierre Chávez, Edén Bojórquez, Omar Payán-Serrano, Juan Bojórquez, Héctor E. Rodríguez-Lozoya
Publikováno v:
Applied Sciences; Volume 7; Issue 6; Pages: 563
Applied Sciences, Vol 7, Iss 6, p 563 (2017)
Applied Sciences, Vol 7, Iss 6, p 563 (2017)
The aim of this paper is to investigate the prediction of maximum story drift of Multi-Degree of Freedom (MDOF) structures subjected to dynamics wind load using Artificial Neural Networks (ANNs) through the combination of several structural and turbu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c98812ab64ebff37a74b9d02aa0915