Application of neural networks for the structural health monitoring in curtain-wall systems

Engineering Structures

Volumn 29, Issue 12, 2007, Pages 3475-3484

  Efstathiades, Ch ^a   Baniotopoulos, C C ^a   Nazarko, P ^b   Ziemianski, L ^b   Stavroulakis, G E ^c,d  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b RZESZOW UNIVERSITY OF TECHNOLOGY   (Poland)

^c TECHNICAL UNIVERSITY OF CRETE   (Greece)

^d TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

Author keywords

Artificial neural networks; Curtain wall system; Damage detection; Finite elements method; Regularization techniques; Structural health monitoring

Indexed keywords

BEARINGS (STRUCTURAL); DAMAGE DETECTION; DEFLECTION (STRUCTURES); FAILURE ANALYSIS; FINITE ELEMENT METHOD; NEURAL NETWORKS;

CURTAIN-WALL SYSTEM; REGULARIZATION TECHNIQUE;

STRUCTURAL HEALTH MONITORING;

BEARINGS (STRUCTURAL); DAMAGE DETECTION; DEFLECTION (STRUCTURES); FAILURE ANALYSIS; FINITE ELEMENT METHOD; NEURAL NETWORKS; STRUCTURAL HEALTH MONITORING;

ARTIFICIAL NEURAL NETWORK; COLUMN; DATA SET; FINITE ELEMENT METHOD; HEALTH MONITORING; RIGIDITY; WALL;

EID: 36148987679     PISSN: 01410296     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engstruct.2007.08.017     Document Type: Article

References (12)

1. Efstathiades Ch, Zygomalas M, Baniotopoulos CC. Glass-aluminium curtain-wall system: Optimization with respect to serviceability criteria. In: Proceedings of the Xth international conference for metal structures. 2003
2. Mufti A.A. Structural health monitoring of innovative Canadian civil engineering structures. Struct Health Monit 1 1 (2002) 89-103
3. Keller E., and Ray A. Real-time health monitoring of mechanical structure. Struct Health Monit 2 3 (2003) 257-267
4. Chang P.C., Flatau A., and Liu S.C. Review paper: Health monitoring of civil infrastructure. Struct Health Monit 2 3 (2003) 191-203
5. Baniotopoulos C.C. Analysis of above-ground pipelines on unilateral supports: a neural network approach. Int J Press Vessels Pip 75 (1998) 43-48
6. Engelhardt M., Stavroulakis G.E., and Antes H. Crack identification as an optimization task. PAMM-Proc. Appl. Math. Mech. 3 (2003) 511-512
7. Stavroulakis G.E., and Antes H. Nondestructive elastostatic identification of unilateral cracks through BEM and neural networks. Comput Mech 20 (1997) 439-451
8. Stavroulakis G.E. Inverse and crack identification problems in engineering (2000), Kluwer Academic Publishers - Springer, Dordrecht
9. Waszczyszyn Z., and Ziemianski L. Neural networks in the identification analysis of structural mechanics systems. In: Mroz Z., and Stavroulakis G.E. (Eds). Parameter identification of materials and structures. CISM courses and lectures no. 469 (2005), SpringerWien, New York 265-340
10. Ziemianski L, Harpula G. The use of neural networks for damage detection in eight storey frames. In: Engineering applications of neural networks-Proceedings of the 5th international conference. Warsaw (Poland): Wyd. A. Marszalek; 1999. p. 292-97
11. Su Z., and Ye L. Quantitative damage prediction for composite laminates based on wave propagation and artificial neural networks. Struct Health Monit 4 1 (2005) 57-66
12. Baniotopoulos CC, Koltsakis E, Preftitsi F, Panagiotopoulos PD. Aluminium mullion-transom curtain-wall systems: 3D F.E. Modeling of their structural behavior. In: Proc. ISCAS 4th intern. conf. on steel and aluminium str. 1998