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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 82
PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: B.H.V. Topping
Paper 42
Displacement Based Assessment of Existing Structures using Intelligent Systems M. Safi+ and M. Tehranizadeh*
+Department of Civil and Environmental Engineering, Power and Water University of Technology, Tehran, Iran
M. Safi, M. Tehranizadeh, "Displacement Based Assessment of Existing Structures using Intelligent Systems", in B.H.V. Topping, (Editor), "Proceedings of the Eighth International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 42, 2005. doi:10.4203/ccp.82.42
Keywords: performance assessment, artificial intelligence, back propagation neural network, nonlinear analysis.
Summary
Earthquake induced forces are a direct function of energy absorption, damping and ultimate
damage capacity of structural members, which all depend on deformation. The purpose of
performance based design is to design the structure with sufficient and proportioned
stiffness and strength in the structural members so as to develop inelastic action in the
ductile designed members and to have an appropriate over strength in the brittle members.
The structure must be checked so that the demands do not exceed the existing
capacities. This is best performed using a set of nonlinear dynamic analyses under
earthquake loading with appropriate characteristics. In the last four decades the concept of
displacement based design (DBD) has been
introduced and developed by different researchers, started by introducing the concept of
substitute structures [1]. This idea has been adopted for a direct displacement design of
SDOF and MDOF reinforced concrete bridges [2]. In all of this research, seismic
demand is specified as either a displacement spectrum or an acceleration-displacement
response spectrum.
Performance based seismic design usually requires nonlinear dynamic or static analyses to assess the performance level of the structure under seismic action. To trace the exact performance of a structure these analyses should some time be repeated several times. Analysis iterations mainly depend on the initial design and performance of the structure. So a method that can present an appropriate initial selection with minimum time and effort would be important. Such a method would also be very effective for seismic structural assessment [3]. In this paper an intelligent system has been created for estimation of plastic hinge distribution and lateral ductility distribution and also for the assessment of existing steel structures based on a direct displacement based design procedure. The method has been applied to steel braced frames with concentric and eccentric bracing systems in low, medium and high rise buildings. The designer can use this knowledge based system to obtain the performance level of existing steel structures according to the proposed seismic code levels. Finally the intelligent system has been verified using nonlinear dynamic analysis. References
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