2017
DOI: 10.1016/j.engstruct.2017.03.075
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Seismic collapse prediction of frame structures by means of genetic algorithms

Abstract: This paper presents an automatic approach for the evaluation of the plastic load and failure modes of planar frames. The method is based on the generation of elementary collapse mechanisms and on their linear combination aimed at minimizing the collapse load factor. The minimization procedure is efficiently performed by means of genetic algorithms which allow to compute an approximate collapse load factor, and the correspondent failure mode, with sufficient accuracy in a very short computing time. A user-frien… Show more

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Cited by 28 publications
(17 citation statements)
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“…The methodology here proposed adopts the SOC earthquake engine of the OFC model in the context of agent-based simulations. Agent-based (or multi-agent) simulations are a powerful computational tool that has been extensively applied in several fields to model complex phenomena [27][28][29][30][31][32][33][34][35][36]. This approach has been here implemented by means of a new software, called ABES (Agent-Based Earthquake Simulator) and realized within the programmable multi-agent environment NetLogo [37], with the purpose of assessing the seismic vulnerability of urban areas in the critical state.…”
Section: Introductionmentioning
confidence: 99%
“…The methodology here proposed adopts the SOC earthquake engine of the OFC model in the context of agent-based simulations. Agent-based (or multi-agent) simulations are a powerful computational tool that has been extensively applied in several fields to model complex phenomena [27][28][29][30][31][32][33][34][35][36]. This approach has been here implemented by means of a new software, called ABES (Agent-Based Earthquake Simulator) and realized within the programmable multi-agent environment NetLogo [37], with the purpose of assessing the seismic vulnerability of urban areas in the critical state.…”
Section: Introductionmentioning
confidence: 99%
“…Kaveh et al carried out plastic analyzes of planar frames with the use of colliding bodies optimization (COD) algorithms and its developed version (Kaveh and Ghafari, 2015; Kaveh and Ilchi Ghazaan, 2014). The latest studies also include Greco et al in 2017, which investigated the prediction of seismic failure of frame structures with genetic optimization algorithm. In this study, in order to simulate the seismic state of structures, a constant uniform gravity load and an incremental lateral load are applied to the floors.…”
Section: Introductionmentioning
confidence: 99%
“…In this study, in order to simulate the seismic state of structures, a constant uniform gravity load and an incremental lateral load are applied to the floors. A push-over analysis in Sap2000 is applied in order to verify the results of investigated frames, and little error is observed in load factor determination and also the location of hinge formations (Greco et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the effects of various base restraints have been investigated on the nonlinear inelastic static and seismic responses of steel frames [19]. Greco et al used a genetic algorithm to predict the seismic collapse of frame structures [20]. Moreover, a robust predictive model was presented by Aminian et al based on the shear of steel frame structures using hybrid genetic programming [21].…”
Section: Introductionmentioning
confidence: 99%