Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Gandomi:2014:SC,
  author =       "A. H. Gandomi and D. A. Roke",
  title =        "Seismic Response Prediction of Self-Centering
                 Concentrically Braced Frames Using Genetic
                 Programming",
  booktitle =    "Structures Congress 2014",
  year =         "2014",
  editor =       "Glenn Bell and Matt A. Card",
  pages =        "1221--1232",
  address =      "Boston, USA",
  month =        "3-5 " # apr,
  organisation = "ASCE SCI",
  publisher =    "American Society of Civil Engineers",
  keywords =     "genetic algorithms, genetic programming, Seismic
                 effects, Predictions, Frames, Bracing, Earthquake
                 resistant structures",
  isbn13 =       "978-0-7844-1335-7",
  DOI =          "doi:10.1061/9780784413357.110",
  size =         "12 pages",
  abstract =     "Conventional concentrically braced frame (CBF) systems
                 are commonly used in earthquake-resistant structural
                 systems. However, they have limited drift capacity
                 before brace buckling occurs. Self-centring,
                 concentrically-braced frame (SC-CBF) systems have
                 recently been developed to increase drift capacity
                 prior to initiation of damage and to minimise residual
                 drift. SC-CBFs have more complex behaviour than
                 conventional CBFs. The seismic response of SC-CBFs
                 depends on many new parameters such as rocking
                 behavior, post-tensioning bars, and energy dissipation
                 elements. Additionally, uncertainty of mechanical
                 properties (e.g., coefficient of friction in the
                 friction-bearings) can affect the system response.

                 To design SC-CBF systems, an accurate prediction of the
                 statistical parameters of roof drift demand is
                 essential. In this study, genetic programming is used
                 to predict the mean and standard deviation of SC-CBF
                 peak roof drift response under the design basis
                 earthquake using the most effective mechanical and
                 geometric parameters. The results of this study can
                 then be used in the future to design more efficient
                 SC-CBF systems with a more accurate roof drift
                 prediction.",
  notes =        "http://content.asce.org/conferences/structures2014/",
}

Genetic Programming entries for A H Gandomi David Roke

Citations