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Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network

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Publication:647971
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DOI10.1016/J.JFRANKLIN.2010.04.005zbMath1316.74069OpenAlexW2062408104MaRDI QIDQ647971

Jamal A. Abdalla, Rami Hawileh

Publication date: 22 November 2011

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2010.04.005



Mathematics Subject Classification ID

Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Plastic materials, materials of stress-rate and internal-variable type (74C99)


Related Items (2)

Machine learning for material characterization with an application for predicting mechanical properties ⋮ Modeling of pH neutralization process using fuzzy recurrent neural network and DNA based NSGA-II




Cites Work

  • Modeling and simulation of shear resistance of R/C beams using artificial neural network
  • Unnamed Item
  • Unnamed Item




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