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Acun B.,European Commission - Joint Research Center Ispra | Sucuoglu H.,Structural and Earthquake Engineering Laboratory
ACI Structural Journal | Year: 2012

The energy dissipation capacity of reinforced concrete (RC) columns is investigated under inelastic cyclic displacements. Experimental data are obtained from 20 column specimens tested under constant-amplitude displacement cycles and from three column specimens tested under variable-amplitude displacement cycles. The effect of failure mode, displacement ductility, material properties, and detailing on the energy dissipation capacity of columns is investigated first under constant-amplitude loading. A simple model is developed for predicting the cyclic energy dissipation capacity under constant-amplitude inelastic displacement cycles. Then, an analytical procedure is introduced for estimating the energy dissipation under variable-amplitude displacement cycles by using the energy dissipation capacity under constant-amplitude displacements. The proposed procedure is verified with the test results. Copyright © 2012, American Concrete Institute. All rights reserved. Source


Kurt T.,Structural and Earthquake Engineering Laboratory | Arici Y.,Structural and Earthquake Engineering Laboratory | Kurc O.,Structural and Earthquake Engineering Laboratory
Civil-Comp Proceedings | Year: 2015

This paper presents a cloud based workflow and a software implementation that has a web-based GUI and a modular backend server which consists of an interface and many worker applications that are distributed over a network of computers or virtual machines. The implemented software is capable of three-dimensional modelling, mesh generation and analysis of large dam models using finite element and analysis. Visualization is performed with a web browser using the JavaScript library three.js which drives the WebGL engine. Mesh generation is handled by the GMSH mesh generation library and analysis is delegated to high performance finite element analysis engine, Panthalassa, and these operations take place at the backend which is implemented in Node.js. The feasibility of the suggested workflow is tested by generating an analysis model for a typical dam structure using a server setup consisting of several personal computers. © Civil-Comp Press, 2015. Source

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