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Optimal placement of steel plate shear walls for steel frames by bat algorithm Saeed Gholizadeh1*,† and Amir Masoud Shahrezaei2 1Department of Civil Engineering, Urmia University, Urmia, Iran 2Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Urmia, Iran SUMMARY Layout optimization of steel frames with steel plate walls (SPWs) using a meta-heuristic search algorithm is the main aim of the present study. SPWs are lateral load-resisting systems, especially against earthquake excitation. These systems offer significant advantages in terms of cost, performance and ease of design compared with other systems. In this study, orthotropic membrane model is used to model the behaviour of steel plate shear walls. The newly developed bat algorithm, which is based on the echolocation behaviour of bats, is employed as the present study optimizer. Design variables of the optimization problem consist of the cross sections of beams and columns of the frame, the web plate thicknesses of SPWs and the placement of SPW in the frame. The bat algorithm performs suitable selection of sections from the AISC wide-flange (W) shapes list. Strength constraints of the American Institute of Steel Construction Load and Resistance Factor Design and displacement constraints are checked during the optimization process. The results reveal the effectiveness of the proposed method for optimization of steel frames with SPWs. Copyright © 2014 John Wiley & Sons, Ltd. Received 29 July 2013; Revised 16 October 2013; Accepted 13 December 2013 gholizadeh2014.pdf

Determining the Amount and Location of Leakage in Water Supply Networks Using a Neural Network Improved by the Bat Optimization Algorithm Original Article, D49 Faghafur Maghrebi M., Aghaebrahimi M.R., Taherian H and Attari M. J. Civil Eng. Urban. 4(3): 322-327. 2014 ABSTRACT: At present, water waste has become a global concern. On the other hand, the amount of sweet water on the earth is fixed and limited but the demand for water is increasing. This, more than ever before, makes it necessary to modify the consumption pattern. One of the most important consumption management activities is to decrease the uncounted water. Water leakage not only results in loss of good-quality water resources, but also pollutes the drinking water and in its worst form brings about serious damages to people and building around the point of leakage. In this paper, a model is presented for determining the amount and location of leakage in water supply networks. In this model which uses a neural network improved by the bat optimization algorithm, the amount and location of leakage in the network is determined by the minimum number of pressure-measuring. The proposed model is applied on the Poulakis network when several simultaneous leakages have occurred, and the accuracy of the model is verified by the results. Keywords: Leakage Detection, Barometers Placement, Neural Network, Bat Algorithm. منبع: [Hidden Content] دانلود: [Hidden Content].,%204%20(3)%20322-327,%202014.pdf J. Civil Eng. Urban., 4 (3) 322-327, 2014.pdf