Damage detection for framed RCC buildings using ANN modeling

International Journal of Damage Mechanics

Volumn 16, Issue 4, 2007, Pages 457-472

  Kanwar, Varinder ^a   Kwatra, Naveen ^b   Aggarwal, Pankaj ^c  

^a I K GUJRAL PUNJAB TECHNICAL UNIVERSITY   (India)

^b THAPAR UNIVERSITY   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Artificial neural network; Damage index; Dynamic characteristics; Stiffness

Indexed keywords

CONCRETE BUILDINGS; DAMPING; NEURAL NETWORKS; REINFORCED CONCRETE; STIFFNESS; STRUCTURAL ANALYSIS; STRUCTURAL DYNAMICS; STRUCTURAL FRAMES;

DAMAGE INDEX; DYNAMIC CHARACTERISTICS; MODE SHAPE; NATURAL TIME PERIOD;

DAMAGE DETECTION;

EID: 34848844075     PISSN: 10567895     EISSN: 15307921     Source Type: Journal    
DOI: 10.1177/1056789506065939     Document Type: Article

References (6)

1. Biddah, A., Heidebrecht, A.C. and Naumoski, N. (1995). Use of Push-over Test to Evaluate Damage of Reinforced Concrete Frame Structures Subjected to Strong Seismic Ground Motions, In: 7th Canadian Conference on Earthquake Engineering, Montreal.
2. Gunturi, V.R. (1996). Identification and Modeling of Seismic Response of Landfill. PhD Thesis, Dept. of Civil Engineering, RPI, Troy, NY.
3. Housner, G.W. and Masri, S.F. (1997). Structural Control - Past, Present and Future, Journal of Engineering Mechanics, ASCE, 123(9): 897-971.
4. Kwatra, N., Godbole, P.N. and Krishna, P. (2002). Application of Artificial Neural Network for Determination of Wind Induced Pressures on Gable Roof, Wind & Structures, 5(1): 34-42.
5. Rodriguez, M. and Aristizabal, J.C. (1999). Evaluation of Seismic Damage of Buildings using a Damage Analysis Approach, Earthquake Engineering and Structural Dynamics, 28:463-477.
6. Rumelhart, D.E. and McCelland, J.E. (eds). (1986). Parallel Distributed Processing, 1, MIT Press, Cambridge, MA.