Dimensionamiento y armado óptimo de secciones de hormigón solicitadas a flexocompresión

  1. Antonio Tomás Espín 1
  2. Gregorio Sánchez-Olivares 1
  1. 1 Universidad Politécnica de Cartagena
    info
    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

    Geographic location of the organization Universidad Politécnica de Cartagena
Journal:
Revista DYNA

ISSN: 0012-7361 0012-7361

Year of publication: 2018

Volume: 93

Issue: 5

Pages: 512-520

Type: Article

DOI: 10.6036/8676 SCOPUS: 2-s2.0-85054839112 DIALNET GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/10317/13059

More publications in: Revista DYNA

Repositorio Digital de la Universidad Politécnica de Cartagena (UPCT): lock_openOpen access Handle

Abstract

Although the cross-section optimization problem has been sufficiently studied in the past, a disadvantage persists regarding the programming complexity, with the need to use methods which are not straightforward for the structural engineer in his/her routine work and require excessive computing time. This contribution aims not so much as to obtain the dimensions of the section and the required reinforcement, which have already been solved, but to provide an automated design procedure for calculating the optimum dimensions and reinforcement. A simple optimization method has been programmed in a MATLAB® routine that is attached in the Appendix of this paper. Conventional-strength or highstrength concrete may be chosen, the minimum reinforcement area may be considered selecting the ACI 318 or Eurocode 2 standards, and the neutral axis depth may be constrained in order to guarantee a certain cross-sectional ductility. Therefore, the interest of the proposal is focused on providing an automated procedure for optimizing the dimensions and reinforcement of a concrete cross-section, together with the corresponding calculation routine, in which the structural engineer may include certain design conditions. Three examples are presented and comparisons between the results from different methods and standards are drawn.

Funding information

La evolución de la función objetivo coste dependiendo de b y h se muestra en la Figura 7. Los ahorros logrados en la solución óptima son del 57.75 y 43.90 % para ACI 318 y EC2, respectivamente.