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Comparison of optimal costs of axially loaded RC tension members using Indian and Euro standards

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PL
Porównanie optymalnych kosztów osiowo obciążonych zbrojonych cięgien z wykorzystaniem standardów europejskich i indyjskich
Języki publikacji
EN
Abstrakty
EN
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.
PL
Niniejsza praca została poświęcona optymalnemu projektowi zbrojonych cięgien. Zaprojektowano blisko pięćset zbrojonych cięgien zgodnie ze standardem indyjskim IS 456:2000 i standardem europejskim EN1992, ręcznie przy użyciu arkuszy kalkulacyjnych Microsoft Excel. Uwzględnione zmienne stanowią charakterystyczną wytrzymałość betonu, wahającą się od 25 do 50N/mm2 dla obu specyfikacji kodału? (codal?). Wytrzymałość plastyczna stali waha się pomiędzy 250, 415, 500 i 550 N/mm2 w przypadku IS 456:2000 i pomiędzy 235, 275, 355, 420 i 460 N/mm2 w przypadku standardu europejskiego. Obciążenie osiowe wahało się od 500kN do 3000 kN. Teoretyczne wyniki uzyskane na podstawie ręcznego projektu zostały wyjaśnione poniżej.
Rocznik
Strony
99--113
Opis fizyczny
Bibliogr. 38 poz., il., tab.
Twórcy
  • Bannari Amman Institute of Technology, Faculty of Civil Engineering, Sathyamangalam, Erode District, India
  • Bannari Amman Institute of Technology, Faculty of Civil Engineering, Sathyamangalam, Erode District, India
Bibliografia
  • 1. AbobakA.A.Aga, FathelrahmanM.Adam,“Design optimization of Reinforced concrete Frames” Open Journal of Civil Engineering, Volumn 5,ppNo:74-83, doi:10.4236/ojce.2015.51008,ISSN No:Online: 2164-3172, 2015.
  • 2. S.K. Anand Prakash, K.K. Agarwala Singh, “Optimum design of reinforced concrete sections”, Computers and Structures, Volume30,Issue 4, pp.No 1009-1011, http://dx.doi.org/10.1016/0045-7949(88)90142-3, ISSN: 0045-7949, 1988.
  • 3. ArunlfoLuevanos-Rojas, “Numerical experimentation for the optimal design of reinforced rectangular concrete beams for singly reinforced sections “, DYNA 83(196),pp.No.134-142, 2016.
  • 4. P.K. Balachandra, S.Adsul., “Cost Optimization Of Doubly Reinforced Rectangular” International journal of Modern Engineering Research (IJMER)- Vol 2 Issue 5,pp.3939-3942, 2012.
  • 5. Beams by Neural Networks, ASCE Journal of Structural Engineering, Vol. 127, No. 7, 2001,pp. 818-828.
  • 6. Chakarnatty “Model for Optimal Design of Reinforced Concrete Beam” Journal of Structural Engineering Vol 118 (3) pp.No:447-451, 1992.
  • 7. G. Preethi, Prince G. Arulraj “Optimal Design of Axially Loaded RC Column”, Bonfring International journal of Industrial Engineering and Management Science, Vol 6 No.3 pp.No.78-81, 2016.
  • 8. N.S. Hadi, Neural Networks Applications in Concrete structures, Computers and Structures, Vol. 81, pp.373-381, 2002.
  • 9. H. Sudarsana Rao, B. Ramesh Babu, “Optimized column design using genetic algorithm based neural networks” Indian Journal of Engineering & Materials Sciences, Vol 13, pp.No 503-511, 2006.
  • 10. ImaRahmanian, YvesLucet, Solomon Tesfamariam “Optimal Design of reinforced concrete beams:Areview”, Computers and Concrete”Vol.13,No.4, ppNo.457-482, 2014.
  • 11. Luisa Mari a Gil-Martin Mark Aschheim Enrique Hernandez-Montes Mark Aschheim, “Optimal reinforcement of RC columns for biaxial bending” Matrials and Structures, pp.no 1245-1256, 2010.
  • 12. S. Mehta, “Cost Optimization of Concrete Beam Element - By Direct Exhaustive Search Method”, Indian Journal of Engineering & Materials Sciences Vol. 13, pp. 503-511, 2006.
  • 13. M.Z. Cohn “limit state design of reinforced concrete structures for maximum yield safety:, Indian Concrete Journal, Vol. 36, No.6, 1962.
  • 14. M. Papadrakakis, N.D. Lagaros, “Soft Computing Methodologies for Structural optimization”, Applied soft computing Vol (3), pp.283-300,2003
  • 15. Salim T Yousif, Ikhlas S ALsaffar, Saddam M.Ahmed, “Optimum Design of Singly and Doubly Reinforced Concrete rectangular beam sections: Artificial Neural Network”, Iraqi journal of Civil Engineering, Volume 6 No.3, 2010.
  • 16. A. SaraBabiker, M. Fathelrahman. E. Abdelrahman, “ Design Optimization Of Reinforced Concrete Beams Using Artificial Neural Network” International Journal of Engineering Inventions, Volume 1, Issue 8,PP: 07-13, 2012.
  • 17. Sinan Melih Nigdeli, Gebrail Bekdaş,”Optimum design of RC continuous beams considering unfavorable liveload distributions” KSCE Journal of Civil Engineering, Vol 20, Issue112, pp No. 1-7, 2016.
  • 18. V.PETCU:” Optimal plastic moments reinforced concrete continuous beams” Indian Concrete Journal, V.36, No.3, March 1962, pp.110-113.
  • 19. T. Yousif., M. Ahmed, “Optimum Design of Singly and Doubly Reinforced Concrete Rectangular Beam Sections: Artificial Neural Networks Application “,Iraqi Journal of Civil Engineering Vol. 6, No. 3, pp. 1-19, 2006.
  • 20. N. KarthigaShenbagam, Dr.N. Arunachalam “Least Cost Design of Axially Loaded Tension Members using Optimization Techniques” International Journal of Printing Packing and Allied Sciences, Volume 4 Issue 2, page No.1250-1259, 2016.
  • 21. Ashok K Jain, Reinforced concrete Limit state design, Nem Chand & Bros, Roorkee, 2010.
  • 22. B.C.Punmia, Ashok K Jain,Arun Kr Jain, Limit State Design of Reinforced concrete,Firewall Media,2007
  • 23. Davis, L. Hand book of genetic algorithms. Van NostrandReinholt, New York. 1991.
  • 24. Design Expert Systems, Computers and Structures, Vol. 54, No. 3,1995,pp. 367-375.
  • 25. N. Krishnaraju, Advanced Reinforced concrete design, CBS Publishers and Distibutors, New Delhi, Bangalore, 2009.
  • 26. N. Krishnaraju, Reinforced concrete design, CBS Publishers and Distibutors, New Delhi, Bangalore, 2009.
  • 27. A. Mukharjee, Deshpande., Application of Artificial Neural Networks in Structural
  • 28. Mishra, A.K., &AkhilUpadhyay., Compression Design using ANN, ICI Journal, 2004, pp. 17-19.
  • 29. Nilson,Darwin and Dolan, “Design of Concrete Structures:, McGraw-Hill, 13th Edition,2004.
  • 30. N.Subramanian,Design of Reinforced concrete Structures,Oxford University Press,2013
  • 31. P.C.Varghese, Limit State Design of Reinforced concrete Structures,Prentice Hall of India Private Limited, 2008
  • 32. Rao S.S, Engineering Optimization Theory and Practice, New Age International publisher, 2009
  • 33. S.Unnikrishnan Pillai, DevadosMenon, “Reinforced concrete Design Third edition Tata McGraw Hill,2009
  • 34. The math works, MATLAB V6.5,24 prime way, Natick, MA 01760-1500,USA,2002.
  • 35. ACI Committee 318, Building Code Requirements for Reinforced Concrete, American Concrete Institute, Detroit 2005.
  • 36. EN1992 I-I and EN1992-I-2, EUROCODE 2: Design of Concrete Structures Design of Concrete Structures General Rules and rules for Buildings and Structural Fire Design.
  • 37. IS456:2000, Code of Practice foe Plain and Reinforced Concrete, Bureau of Indian Standards , New Delhi
  • 38. SP16:1980:Design Aids for IS456:2000
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f1434b9e-320b-45c1-b2d4-c0c5cd9e6b74
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