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3791-3792 of 4327 Papers

HORIZONTAL SHEAR STRENGTH OF FIBER-REINFORCED COMPOSITE DECK SLABS TESTED IN THE WEAK DIRECTION

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): HISSEINE OUSMANE , SALAH AL TOUBAT , SAMER BARAKAT

Abstract: In this research, six large-scale composited metal deck (CMD) slabs were constructed and tested in a cantilever diaphragm configuration to assess the viability of using discreet macro fibers as an alternative secondary reinforcement. Two common commercial steel deck types, Holorib and Ribdeck AL, with a reentrant and trapezoidal profile; respectively, were used in this study. Three types of secondary reinforcements were considered: (1) Conventional welded wire mesh of sizes A142 and A98; (2) synthetic macro-fibers at the dosages of 3 kg/m3 and 5.3 kg/m3; and (3) hooked-end steel fibers with a dosage of 15 kg/m3. All the slabs were tested in the weak configuration, a condition that practically exists between steel decks and primary steel beams. Test results showed that although fibers and WWM are theoretically used in CMDs to control cracks associated with shrinkage and temperature changes, they actually have a considerable effect on enhancing the horizontal shear capacity. Results indi

  • Publication Date: 26-Oct-2014
  • DOI: 10.15224/978-1-63248-030-9-61
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PREDICTING THE HYSTERETIC CYCLES OF 3D-REINFORCED CONCRETE FRAMES BY ANN

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): FATIH BAHADIR , FATIH SULEYMAN BALIK

Abstract: In this study, artificial neural network (ANN) method is used to predict displacement data of 3D-reinforced concrete frames and compared with the experimental results of a testing series. Three reinforced concrete frames were produced two storey and 3D in 1/6 geometric scales which contained the deficiencies commonly observed problems in residential buildings in Turkey were tested under reverse-cyclic lateral loading as well as constant vertical loading until failure. These experimental studies are 3-D and having different window opening in brick wall. This study is concerned with the problem of estimation of displacement data when the LVDT of 103 numbers are corrupted and some data of hysteretic cycles are missed. As a result, the values are very closer to the experimental results obtained from training and testing for artificial neural networks model. RMSE, R2 and MAE statistical values that calculated for comparing experimental results with artificial neural networks model results h

  • Publication Date: 26-Oct-2014
  • DOI: 10.15224/978-1-63248-030-9-160
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