Assessment of Modeling Sensitivity for Nonlinear Seismic Analysis of Highway Bridges in Illinois PDF Download
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Author: Carlos Andres Paez Vargas
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Carlos Andres Paez Vargas
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Kenneth A. Hayes
Publisher:
ISBN:
Category : Bridges
Languages : en
Pages : 330
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Author: Shrirang Tande
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659149757
Category :
Languages : en
Pages : 72
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Bridge structures had been predominantly analyzed and designed elastically, beginning at the year of 1971 (Since San Fernando earthquake), researchers started to study the nonlinear seismic response of bridges. There are no detailed guidelines addressing the performance of skewed highway bridges. This book presents the performance of bridges for various skew patterns and skew angles and combination of both by performing non linear seismic analysis. The three dimensional finite element analyses of straight and skew bridges with skew angles varying from 0 degrees to 60 degrees are investigated. Response spectrum analysis is considered for analyzing various bridge models. The efforts are made to investigate the effects of parameters such as skew angles, aspect ratios, and unsupported lengths on the bridge behavior. Also the effect of parameters like S/L and B/L ratios (aspect ratio) for the single span bridges are evaluated.
Author: Dong Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 116
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Recent earthquake disasters have demonstrated the seismic vulnerability of highway bridge systems. Rapid seismic assessment of regional highway bridges is critical to help reduce severe loss of life and property. However, measurement of the regional scale system performance faces the challenge of dealing with the large uncertainty in structural properties and spatial characteristics. Traditionally, the numerical modeling approaches are established to simulate nonlinear response for each highway bridge across a regional portfolio. This process is largely limited by accuracy of model and computational effort. Especially some key structural component parameters are almost impossible to be retrieved for some ancient bridges. An alternative data-driven framework is developed to predict seismic responses or damage level of bridges using machine learning techniques. The proposed hierarchically structured framework enables a customized application in different scenarios. Firstly, the typical modeling technique for reinforcement concrete highway bridges is introduced using specific elements for different components. However, the modeling procedures are material-level parameter dependent and time consuming. The nonlinear analysis convergence is also a frustrating problem for numerical simulations. Due to these realistic limitations, a simple, fast and robust numerical model which can be developed with only component-level information needs to be adopted. It's shown that the bridge bent representation can be simplified as a single degree of freedom system. The force-displacement relationship of the bridge can be roughly approximated by a bilinear curve. So a simplified 2D bilinear model is adopted for highway bridges throughout the study. Secondly, the statistical distributions for selected bridge input parameters can be derived based on the regional bridge inventory. Then an iterative process by sampling and filtering input parameters can be used to generate as many bridges as possible candidates for a specific region. The proposed bridge models and selected historical ground motions will be utilized to develop a seismic response prediction model using machine learning for instrumented highway bridges. This study investigates the optimal features to represent the highway bridge and ground motion. Different regression models are applied for near-fault motions and far-field motions and similar performance can be achieved, which significantly outperformed the traditional methods. Finally, to predict the seismic response of the non-instrumented highway bridges whose ground motion information is missing, the kriging interpolation model is implemented first. Then graph network is exploited to improve the performance. Different rules are evaluated for constructing an undirected graph for the highway bridges in an active seismic region. Subsequently, the Node2vec model is conducted to extract the embedding for each node and a graph neural network is implemented to predict the seismic response. Furthermore, vast amounts of text description data from online social platforms can be used to help detect the potential severely damaged bridges rapidly once an earthquake happens. A Convolution Neural Network classification model is implemented to evaluate the overall damage level distribution based on the collected text data. GloVe model is used to generate the word vector as its distributed representation.
Author: Vyacheslav Oleksiyovich Prakhov
Publisher:
ISBN:
Category :
Languages : en
Pages : 548
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A recent increase in the number of earthquakes across the state of Texas has raised concerns about seismic performance of highway bridges in the state inventory, the vast majority of which were not explicitly designed to withstand earthquake loading. Potential causes of seismic damage include column shear failure due to low transverse reinforcement rations and non-seismic detailing, girder unseating due to excessive bearing deformation or instability, deck pounding, and others. The objective of the study is to develop bridge numerical models for nonlinear response-history analysis taking into consideration Texas-specific design and detailing practices. Using the models developed, the fragility of Texas bridges can be analyzed and systematically quantified, allowing state highway officials to efficiently identify the bridges most likely to be damaged after an earthquake. Component models for all major bridge parts were developed for this study, including the superstructure, deck joint, bearing, bent, foundation, and abutment. The models were developed based on past experimental, analytical, and numerical work from the literature, accounting for the mass, stiffness, and damping properties of each bridge component. Damage was accounted for using nonlinear hinge models capable of simulating stiffness-degradation and hysteretic behavior based on specific properties and expected limit states of each bridge component. Finally, a MATLAB script was developed to assemble bridge component models into full bridge models depending on user input of geometric and material properties of an individual bridge sample.
Author: Yuling Gao
Publisher:
ISBN:
Category :
Languages : en
Pages : 131
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Earthquakes are one of the main natural hazards that have caused devastations to bridges around the world. Given the observations from past earthquakes, substantial analytical and experimental research work related to bridges has been undertaken in Canada and other countries. The analytical research is focussed primarily on the prediction of the seismic performance of existing bridges. It includes bridge-specific investigations which are mainly conducted using deterministic approach, and investigations of bridge portfolios which are based on probabilistic approach. In both cases, nonlinear time-history analyses are extensively used. To conduct analysis on a given bridge, analytical (i.e., computational) model of the bridge is required. It is known that the seismic response predictions depend greatly on the accuracy of the input of the modeling parameters (or components) considered in the bridge model. The objective of this study is to investigate the effects of the uncertainties of a number of modeling parameters on the seismic response of typical highway bridges. The parameters considered include the superstructure mass, concrete compressive strength, yield strength of the reinforcing steel, yield displacement of the bearing, post-yield stiffness of the bearing, plastic hinge length, and damping. For the purpose of examination, two typical reinforced concrete highway bridges located in Montreal were selected. Three-dimensional (3-D) nonlinear model the bridge was developed using SAP2000. The effects of the uncertainty of each parameter mentioned above were investigated by conducting time-history analyses on the bridge model. In total, 15 records from the earthquakes around the world were used in the time-history analysis. The response of the deck displacement, bearing displacement, column displacement, column curvature ductility, and moment at the base of the column was considered to assess the effect of the uncertainty of the modeling parameter on the seismic response of the bridge. Recommendations were made for the use of these modeling parameters on the evaluation of the seismic performance of bridges.
Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 400
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Author:
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 1006
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Author: University of Illinois at Urbana-Champaign. Office of Engineering Publications
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 380
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 1252
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