Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Robespierre Chavez"'
Autor:
Federico Valenzuela-Beltrán, Mario D. Llanes-Tizoc, Eden Bojorquez, Juan Bojorquez, J. M. Leal-Graciano, Victor Baca, Robespierre Chavez, Alfredo Reyes-Salazar
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5067 (2024)
Structural engineers often use deep columns in high seismic areas to reduce drifts, yet this somehow contradicts what is stated in some tests in the sense that even though deep columns may satisfy current seismic provisions, they can suffer premature
Externí odkaz:
https://doaj.org/article/607de3cebfad40719170ca64537f0903
Autor:
Victor Baca, Juan Bojórquez, Edén Bojórquez, Herian Leyva, Alfredo Reyes-Salazar, Sonia E. Ruiz, Antonio Formisano, Leonardo Palemón, Robespierre Chávez, Manuel Barraza
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
The control of vibrations and damage in traditional reinforced concrete (RC) buildings under earthquakes is a difficult task. It requires the use of innovative devices to enhance the seismic behavior of concrete buildings. In this paper, we design RC
Externí odkaz:
https://doaj.org/article/5a34f42af0784421a4a0b94ec1f6f167
Autor:
Federico Valenzuela-Beltrán, Mario D. Llanes-Tizoc, Edén Bojórquez, Juan Bojórquez, Robespierre Chávez, Jesus Martin Leal-Graciano, Juan A. Serrano, Alfredo Reyes-Salazar
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 433 (2022)
The response of steel moment frames is estimated by first considering that the mass matrix is the concentrated type (ML) and then consistent type (MC). The effect of considering more than one element per beam is also evaluated. Low-, mid- and high-ri
Externí odkaz:
https://doaj.org/article/51df88a1b4844278a3ae9a6843c81f0d
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