Next Article in Journal
Advanced Hysteretic Model of a Prototype Seismic Isolation System Made of Polymeric Bearings
Next Article in Special Issue
Microstructure-Based Prediction of the Elastic Behaviour of Hydrating Cement Pastes
Previous Article in Journal
Hesitant Probabilistic Multiplicative Preference Relations in Group Decision Making
Previous Article in Special Issue
Numerical Simulation of Early Age Cracking of Reinforced Concrete Bridge Decks with a Full-3D Multiscale and Multi-Chemo-Physical Integrated Analysis
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle

Optimization of Mass Concrete Construction Using a Twofold Parallel Genetic Algorithm

1
Department of Civil Engineering, The Federal University of Rio de Janeiro (COPPE/UFRJ), Rio de Janeiro 21941-972, RJ, Brazil
2
National Laboratory of Scientific Computing (LNCC), The Federal University of Juiz de Fora (UFJF), Juiz de Fora 25651-075, MG, Brazil
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(3), 399; https://doi.org/10.3390/app8030399
Received: 24 January 2018 / Revised: 26 February 2018 / Accepted: 3 March 2018 / Published: 9 March 2018
  |  
PDF [1085 KB, uploaded 9 March 2018]
  |  

Abstract

This paper presents a solution strategy, based on a parallel Genetic Algorithm (GA), to optimize the construction of massive concrete structures. The optimization process aims at minimizing the construction cost, considering the following design variables: the concrete mixes, the placing temperature, the height of the lifts, and the time intervals between placing the lifts. The cracking tendency is taken into account by a penalty scheme imposed to the fitness function of the GA. A thermo-chemo-mechanical model is used to calculate the transient fields of hydration, temperature, stress, strain, and cracking tendency. This model is implemented in a finite element code that is, in turn, parallelized. To demonstrate the efficiency of the proposed methodology, the simulation of the construction of a structure similar to the real thick foundation of an industrial building is presented. It shows that the optimization procedure here presented is feasible and is ready to be used in real engineering applications. View Full-Text
Keywords: optimization; parallel Genetic Algorithm; numerical modeling; mass concrete; thermo-chemo-mechanical model optimization; parallel Genetic Algorithm; numerical modeling; mass concrete; thermo-chemo-mechanical model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Rita, M.; Fairbairn, E.; Ribeiro, F.; Andrade, H.; Barbosa, H. Optimization of Mass Concrete Construction Using a Twofold Parallel Genetic Algorithm. Appl. Sci. 2018, 8, 399.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top