Bridges strengthening by conversion to tied-arch using monarch butterfly optimization

Orlando Gardella, Broderick Crawford, Ricardo Soto, José Lemus-Romani, Gino Astorga, Agustín Salas-Fernández

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The problem existing in bridges that collapse due to undermining of the piers that sustain it, as well as collapses due to hydraulic action, generate high costs that can be reduced, making the repair of its structures. It is possible to reinforce them by modification, incorporating cable-stayed arches, and tensioning of hangers to support them. In this paper, a new approach is presented to solve the problem effectively, using a modern metaheuristic based on nature called monarch butterfly optimization it works imitating the way of migration, who uses the monarch butterflies. The results obtained are compared with those provided by black hole algorithm through the use of a known statistical test.

Original languageEnglish
Title of host publication4th International Congress on Information and Communication Technology, ICICT 2019, Volume 1
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer
Pages459-469
Number of pages11
ISBN (Print)9789811506369
DOIs
StatePublished - 2020
Event4th International Congress on Information and Communication Technology, ICICT 2019 - London, United Kingdom
Duration: 27 Feb 201928 Feb 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1041
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Congress on Information and Communication Technology, ICICT 2019
Country/TerritoryUnited Kingdom
CityLondon
Period27/02/1928/02/19

Keywords

  • Combinatorial optimization
  • Metaheuristics
  • Monarch butterfly optimization
  • Optimization
  • Reinforcement of bridges

Fingerprint

Dive into the research topics of 'Bridges strengthening by conversion to tied-arch using monarch butterfly optimization'. Together they form a unique fingerprint.

Cite this