@ARTICLE{Karthiga_Shenbagam_N._Porównanie_2017,
 author={Karthiga Shenbagam, N. and Arunachalam, N.},
 number={No 1},
 journal={Archives of Civil Engineering},
 pages={99-113},
 howpublished={online},
 year={2017},
 publisher={WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES},
 abstract={The aim of this study is to find the cost design of RC tension with varying conditions using the Artificial Neural Network. Design constraints were used to cover all reliable design parameters, such as limiting cross sectional dimensions and; their reinforcement ratio and even the beahviour of optimally designed sections. The design of the RC tension members were made using Indian and European standard specifications which were discussed. The designed tension members according to both codes satisfy the strength and serviceability criteria. While no literature is available on the optimal design of RC tension members, the cross-sectional dimensions of the tension membersfor different grades of concrete and steel, and area of formwork are considered as the variables in the present optimum design model. A design example is explained and the results are presented. It is concluded that the proposed optimum design model yields rational, reliable, and practical designs.},
 type={Artykuły / Articles},
 title={Porównanie optymalnych kosztów osiowo obciążonych zbrojonych cięgien z wykorzystaniem standardów europejskich i indyjskich},
 title={Comparison of optimal costs of axially loaded RC tension members using Indian and Euro standards},
 URL={http://www.czasopisma.pan.pl/Content/103333/PDF/ace-2017-0007.pdf},
 keywords={zbrojone cięgna, optymalna konstrukcja, optymalizacja, obciążenia, sieci neuronowe, model projektowy, standardy indyjskie, standardy europejskie, RC tension members, optimal design, optimization, loadings, neural networks, design model, Indian standards, Euro standards},
}