Hysteresis models and fragility assessments of reinforced concrete structural components

Earthquakes represent one of the most destructive natural disasters and the extent of casualties and damage in numerous incidences is well documented over the past decades. The devastating consequences of seismic events have emphasized the significance of the structural performance assessment. Fragi...

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Bibliographic Details
Main Author: Piyali Sengupta
Other Authors: Li Bing
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/60616
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Institution: Nanyang Technological University
Language: English
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Summary:Earthquakes represent one of the most destructive natural disasters and the extent of casualties and damage in numerous incidences is well documented over the past decades. The devastating consequences of seismic events have emphasized the significance of the structural performance assessment. Fragility function, an essential component in seismic vulnerability estimation, is defined by the conditional probability of a particular structure exceeding a certain damage state when subjected to seismic excitations. Eventually, for development of fragility functions, characterization of the structural behavior and quantification of the structural damage states during seismic events are pertinent. Hence, the present research delineates the structural hysteretic behavior and different stages of damage experienced by reinforced concrete (RC) structural components for derivation of seismic fragility functions. The basic requirement in modeling RC structural components under seismic loading is to define a constitutive load-deformation relationship capable of producing strength and stiffness degradation along with pinching at all displacement levels. This is a demanding task considering the numerous parameters contributing to the structural hysteretic behavior. The Bouc-Wen-Baber-Noori (BWBN) model, owing to its computational efficiency and mathematical tractability, is adopted as the basis of the current research and amended accordingly to simulate the hysteretic behavior of RC structural components. The Livermore Solver for ordinary Differential Equations (LSODE) is employed to solve the differential equations of the model. A database of RC beam-column joints and walls tested under quasi-static loading is compiled from the literature to determine the model parameters by a Genetic Algorithm (GA), a system identification technique and to successfully calibrate the analytical response with the experimental results. Subsequently, the sensitivity ranking of the model parameters is determined and the relationship between the model parameters and the structural features is derived by regression analysis using the existing database of the structural components. To facilitate structural analysis of RC buildings with beam-column joints and walls using the proposed analytical approach, the hysteresis model is effectively implemented as a user element in ABAQUS. For quantification of different stages of damage experienced by the structural components, the Park-Ang damage model is modified such that the range of the damage index (DI) is between zero and unity. The damage states are classified and quantified in the form of damage indices on the basis of the experimental response of the structural components. Drift ratio is selected as the engineering damage parameter (EDP) for defining the seismic demand in the structural components at any point of the loading history. On the basis of the maximum likelihood test results, a lognormal distribution is found acceptable as the theoretical distribution for fragility assessment of the structural components for all damage states. Thereafter, using incremental dynamic analysis approach, the structural models are subjected to increasing levels of scaled ground motion intensity suitable for Singapore until dynamic instability is reached. The minimum intensity of each ground motion at which the structural models exceed a certain damage state is ascertained to obtain the seismic fragility curves.