A neural network model to assess the hysteretic energy demand in steel moment resisting frames

Structural Engineering and Mechanics

Volumn 23, Issue 2, 2006, Pages 177-193

  Akbas, Bulent ^a  

^a GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Back propagation; Hysteretic energy demand; Neural network; Steel moment resisting frames

Indexed keywords

BACKPROPAGATION; DYNAMIC LOADS; EARTHQUAKE EFFECTS; MATHEMATICAL MODELS; SEISMOLOGY; STRUCTURAL FRAMES;

BACK-PROPAGATION; HYSTERETIC ENERGY DEMAND; MOMENT RESISTING FRAMES; STEEL MOMENT RESISTING FRAMES;

NEURAL NETWORKS;

EID: 33645982612     PISSN: 12254568     EISSN: None     Source Type: Journal    
DOI: 10.12989/sem.2006.23.2.177     Document Type: Article

References (41)

1. AISC-LRFD (1999), Load and Resistance Factor Design, American Institute of Steel Construction, Chicago.
2. Akiyama, H. (1985), Earthquake-Resistant Limit-State Design for Buildings, University of Tokyo Press.
3. Amini, F. and Tavassoli, M.R. (2005), "Optimal active structural control force, number and placement of controllers", Eng. Struct., 27, 1306-1316.
4. Ashour, A.F. and Alqedra, M.A. (2005), "Concrete breakout strength of single anchors in tension using neural networks", Advances in Engineering Software, 36, 87-97.
5. Bertero, R.D. and Bertero, V.V. (1999), "Redundancy in earthquake resistant design", J. Struct. Eng., 125(1), 81-88.
6. Bertero, V.V. and Teran-Gilmore, A. (1994), "Use of energy concepts in earthquake-resistant analysis and design: Issues and future directions", Advances in Earthquake Engineering Practice, Short Course in Structural Engineering, Architectural and Economic Issues, University of California, Berkeley.
7. Chen, Y.R., Hsieh, S.C., Chen, J.W. and Shih, C.C. (2005), "Energy-based probabilistic evaluation of soil liquefaction", Soil Dyn. Earthq. Eng., 25, 55-68.
8. Choi, B.J. (2004), "Hysteretic energy response of steel moment resisting frames with vertical mass irregularities", Struct Design Tall Spec Build, 13, 123-144.
9. Choi, B.J. and Shen, J. (2001), "Empirical hysteretic energy with strength, strength and drift, and SCWB using steel moment-resisting frames", Struct Design Tall Spec Build, 10, 93-106.
10. Chopra, A.K. (2000), Dynamics of Structures: Theory and Applications to Earthquake Engineering, Prentice-Hall Inc, New Jersey.
11. Chou, C.C. and Uang, C.M. (2000), "Establishing absorbed energy spectra - An attenuation approach", Earthq. Eng. Struct. Dyn., 29, 1441-1455.
12. Cladera, A. and Mari, A.B. (2004), "Shear design procedure for reinforced normal and high-strength concrete beams using artificial neural networks. Part I: Beams without stirrups", Eng. Struct., 26, 917-926.
13. Cruz, M.F. and Lopez, O.A. (2000), "Plastic energy dissipated during an earthquake as a function of structural properties and ground motion characteristics", Eng. Struct., 22, 784-792.
14. Fajfar, P., Vidic, T. and Fischinger, M. (1992), "On energy demand and supply in SDOF systems", Workshop on Nonlinear Seismic Analysis of Reinforced Concrete Buildings, Bled, Slovenia, Yugoslavia.
15. Fajfar, P. and Vidic, T. (1994), "Consistent inelastic design spectra: hysteretic and input energy", Earthq. Eng. Struct. Dyn., 23, 523-537.
16. FEMA-350 (2000), Recommended Seismic Design Criteria for New Steel Moment-Frame Buildings, Federal Emergency Management Agency.
17. Flood, I. (1989), "A neural network approach to the sequencing of construction tasks", Proc. of the Sixth Int. Symposium on Automation and Robotics in Construction, Construction Industry Institute, Austin, Texas, 204-11.
18. Garret, J.H., Gunaratham, D.J. and Ivezic, N. (1997), In: Kartam, N., Flood, I., editors, Artificial Neural Networks for Civil Engineers: Fundamentals and Applications, ASCE, 1-17.
19. Gunaydin, H.M. and Dogan, S.Z. (2004), "A neural network approach for early cost estimation of structural systems of buildings", Int. J. of Project Management, 22, 595-602.
20. Hamburger, R.O. (1997), "A framework for performance-based earthquake resistant design", EERC-CUREs Symposium in Honor of V.V. Bertero, Berkeley, California. January 31 - February 1.
21. Haykin, S. (1994), Neural Networks: A Comprehensive Foundation, Macmillan College Publishing Company, Inc. NJ.
22. Hegazy, T. and Ayed, A. (1998), "Neural network model for parametric cost estimation of highway projects", J. Construction and Eng. and Management, 124(3), 210-218.
23. Housner, G.W. (1956), "Limit design of structures to resist earthquakes", Proc. of the First World Conf. on Earthq. Eng., Berkeley, California, 5-1-5-13.
24. Kerh, T. and Ting, S.B. (2005), "Neural network estimation of ground peak acceleration at stations along Taiwan high-speed rail system", Engineering Applications of Artificial Intelligence, Article in Press.
25. Kuvamura, H. and Galambos, T.V. (1989), "Earthquake load for structural reliability", J. Struct. Eng., 115(6), 1446-1463.
26. Lee, J.J., Lee, W.L., Yi, J.H., Yun, C.B. and Jung, H.Y. (2005), "Neural networks-based damage detection for bridges considering errors in baseline finite element models", J. Sound Vib., 280, 555-578.
27. Manfredi, G. (2001), "Evaluation of seismic energy demand", Earthq. Eng. Struct. Dyn., 30, 485-499.
28. Neuro Solutions (2003), Neurodimension, Inc., Version 4.24.
29. Ohtori, Y., Christenson, R.E., Spencer, Jr. and Dyke, S.J. (2000), "Benchmark control problems for seismically excited nonlinear buildings", http://www.nd.edu/~quake/, Notre Dame University, Indiana.
30. Papadrakakis, M., Lagaros, N.D. and Plevris, V. (2005), "Design optimization of steel structures considering uncertainties", Eng. Struct., 27, 1408-1418.
31. Prakash, V., Powell, G.H. and Campbell, S. (1993), "DRAIN-2DX: Base program description and user guide, version 1.10", Rep. No. UCB/SEMM-93/17, University of California, Berkeley.
32. Rafiq, M.Y., Bugmann, G. and Easterbrook, D.J. (2001), "Neural network design for engineering applications", Comput. Struct., 79, 1541-1552.
33. Riddell, R. and Garcia, J.E. (2001), "Hysteretic energy spectrum and damage control", Earthq. Eng. Struct. Dyn., 30, 1791-1816.
34. Saadata, S., Nooria, M.N., Bucknera, G.D., Furukawab, T. and Suzukic, Y. (2004), "Structural health monitoring and damage detection using an intelligent parameter varying (IPV) technique", Int. J. of Non-Linear Mech., 39, 1687-1697.
35. Sari, A. (2003), "Energy consideration in ground motion attenuation and probabilistic seismic hazard studies", Ph.D. Thesis, Department of Civil Engineering, University of Texas at Austin.
36. Shen, J. and Akbas, B. (1999), "Seismic energy demand in steel moment frames", J. Earthq. Eng., 3(4), 519-559.
37. Tehranizadeh, M. and Safi, M. (2004), "Application of artificial intelligence for construction of design spectra", Eng. Struct., 26, 707-720.
38. Vision 2000 Committee. (2000), Structural Engineering Association of California (SEAOC).
39. Williams, M.E. and Hoit, M.I. (2004), "Bridge pier live load analysis using neural networks", Advances in Engineering Software, 35, 645-652.
40. Yeung, W.T. and Smith, J.W. (2005), "Damage detection in bridges using neural networks for pattern recognition of vibration signatures", Eng. Struct., 27, 685-698.
41. Zhao, Z. (2005), "Steel columns under fire - a neural network based strength model", Advances in Engineering Software, Article in Press 1-9.