Seismic demand model class uncertainty in seismic loss analysis for a code-designed URM infilled RC frame building

2020 ◽  
Vol 19 (1) ◽  
pp. 429-462
Author(s):  
Fabio Romano ◽  
Mohammad S. Alam ◽  
Maria Zucconi ◽  
Marco Faggella ◽  
Andre R. Barbosa ◽  
...  
Keyword(s):  
Seismic Demand ◽  
Rc Frame ◽  
Demand Model ◽  
Loss Analysis ◽  
Frame Building ◽  
Seismic Loss ◽  
Seismic Demand Model ◽  
Model Class ◽  
Rc Frame Building ◽  
Class Uncertainty

Safety Levels of RC Frame Building in Wenchuan County Town

2012 ◽  
Vol 479-481 ◽  
pp. 525-530
Author(s):  
Di Wu ◽  
Yan Xiong
Keyword(s):  
Wenchuan Earthquake ◽  
Seismic Demand ◽  
Rc Frame ◽  
Demand Model ◽  
2008 Wenchuan Earthquake ◽  
Rc Frames ◽  
Frame Building ◽  
Probabilistic Seismic Demand ◽  
Seismic Demand Model ◽  
Rc Frame Building

A local and formal RC frame building in Wenchuan dicstrict, named Shuang-he market building which is damaged in 2008 Wenchuan earthquake, is studied by nonlinear finite element method. By using probabilistic seismic demand model (PSDM), the seismic fragility assessment of the RC frame is demonstrated on RC frames. Probabilistic seismic demand model (PSDM) for RC frame structures was built to assess the safety levels of the actual RC frames representative of design and construction practices in the Wenchuan county town. The fragility curves for immediate occupancy, significant damage, and collapse prevention damage levels of the RC frame building are analyzed. The result reveals the safety levels of RC frame building in Wenchuan district before the 2008 Wenchuan earthquake.

scholarly journals SEISMIC LOSS ANALYSIS OF A CODE‑DESIGNED INFILLED RC BUILDING ACCOUNTING FOR INFILL MODEL CLASS UNCERTAINTY

2021 ◽  
Author(s):  
Fabio Romano ◽  
Mohammad S. Alam ◽  
Maria Zucconi ◽  
Marco Faggella ◽  
Andre R. Barbosa ◽  
...  
Keyword(s):  
Loss Analysis ◽  
Seismic Loss ◽  
Rc Building ◽  
Model Class ◽  
Class Uncertainty

scholarly journals Seismic Performance of Multistorey RC Frame Building With The Soft Storey and Masonry Infill

2021 ◽  
pp. 650-656
Author(s):  
Kugan K ◽  
Mr. Nandha Kumar P ◽  
Premalath J
Keyword(s):  
Time History ◽  
Seismic Loading ◽  
Rc Frame ◽  
Base Shear ◽  
Maximum Displacement ◽  
Soft Storey ◽  
Masonry Infills ◽  
Frame Building ◽  
History Analysis ◽  
Rc Frame Building

In this study, four geometrically similar frames having different configurations of masonry infills, has been investigated. In this article attempts are made to explain the factors that impact the soft storey failure in a building are compared with different type of infill. That is Four models like RC bare frame, RC frame with brick mansonry infill, RC frame with brick infill in all the storeys exept the firstsoft storey, RC frame with inverted V bracing in the soft storey. Time history analysis has been carried out for a G+8 multistoried building to study the soft storey effect at different floor levels using E tabs software. The behavior of RC framed building with soft storey under seismic loading has been observed in terms of maximum displacement ,maximum storey drift, base shear and storey stiffness as considered structure.

scholarly journals Effect of uniform temperature load on design of long reinforced concrete structures without expansion joints

2021 ◽  
Vol 15 (3) ◽  
pp. 68-80
Author(s):  
Pham Thai Hoan ◽  
Nguyen Minh Tuan
Keyword(s):  
Rc Frame ◽  
Uniform Temperature ◽  
Expansion Joints ◽  
Rc Structures ◽  
Frame Building ◽  
Medium Length ◽  
Building Models ◽  
Temperature Load ◽  
Internal Forces ◽  
Rc Frame Building

This study presents an investigation on the design of long reinforced concrete (RC) structures subjected to uniform temperature load by considering three RC frame building models with different lengths of 45 m, 135 m, and 270 m using Etabs. The uniform temperature load is considered being the change from the annual average highest to lowest air temperature at the construction site in the case of unavailable temperature data of concrete. The analysis results indicate that the uniform temperature load mainly influences on the internal forces of RC members at storey 1 and slightly effects on the internal forces of RC members at storey 2. For short-length RC structures, the effect of temperature load can be ignored in the design of RC elements, whereas it must be taken into account in design of slab, beams and some column positions at storey 1 of medium-length and long RC structures without expansion joints. For the present RC frame building models, the required slab reinforcement in long direction increases about 33.4% for medium-length RC structures (135 m) and about 48.2% for long RC structures (270 m) without expansion joints. The required reinforcement for positive moment at mid-span increases from 33.7 to 39.4%, whereas the total required reinforcement for negative moment at the supports of beams increases from 19.4 to 34.9% in long direction of 270 m long RC structures without expansion joints due to uniform temperature load. Column design of long RC structures without expansion joints under uniform temperature load must be concerned, especially for columns in the corners.

scholarly journals Fragility Analyses of Bridge Structures Using the Logarithmic Piecewise Function-Based Probabilistic Seismic Demand Model

2021 ◽  
Vol 13 (14) ◽  
pp. 7814
Author(s):  
Yinghao Zhao ◽  
Hesong Hu ◽  
Lunhua Bai ◽  
Mengxiong Tang ◽  
Hang Chen ◽  
...  
Keyword(s):  
Fragility Curves ◽  
Statistical Significance ◽  
Seismic Intensity ◽  
Fragility Analysis ◽  
Seismic Demand ◽  
Demand Model ◽  
Intensity Measure ◽  
System Fragility ◽  
Probabilistic Seismic Demand ◽  
Seismic Demand Model

Seismic fragility analysis is an efficient method to evaluate the structural failure probability during earthquake events. Among the existing fragility analysis methods, the probabilistic seismic demand model (PSDM) and the joint probabilistic seismic demand model (JPSDM) are generally used to compute the component and system fragility, respectively. However, the statistical significance behind the parameters related to the current PSDM and JPSDM are not comparable. Aside from that, when calculating the system fragility, the Monte Carlo sampling (MCS) method is time-consuming. To solve the two flaws, in this paper, the logarithm piecewise functions were used to generate the PSDM and the JPSDM, and the MCS was replaced by the univariate conditioning approximation (UCA) method. The concepts and application procedures of the proposed fragility analysis methods were elaborated first. Then, the UCA method was illustrated in detail. Finally, fragility curves of a steel arch truss case study bridge were generated by the proposed method. The research results indicate the following: (1) the proposed methods unify the data sources and statistical significance of the parameters used in the PSDM and the JPSDM; (2) the logarithmic piecewise function-based PSDM sensitively reflects the changing trend of the component’s demand with the fluctuation of the seismic intensity measure; (3) under transverse seismic waves, major injuries happen on the side bearings of the bridge, while slight damage may occur on each pier, and as the seismic intensity measure increases, the side bearings are more likely to be damaged; (4) for the severe damage and the absolute damage of the studied bridge, the system fragility curves are closer to the upper failure bounds; and (5) compared with the MSC method, the accuracy of the UCA method can be guaranteed with less calculation time.

scholarly journals Compliance-Based Estimation of Seismic Collapse Risk of an Existing Reinforced Concrete Frame Building

2021 ◽  
Author(s):  
Anastasios Tsiavos ◽  
Pascal Amrein ◽  
Nathan Bender ◽  
Bozidar Stojadinovic
Keyword(s):  
Earthquake Ground Motion ◽  
Rc Frame ◽  
Seismic Code ◽  
Existing Structures ◽  
Frame Building ◽  
Seismic Collapse ◽  
Rc Building ◽  
Hazard Level ◽  
Rc Frame Building ◽  
Code Compliance

Abstract The seismic evaluation of existing structures is based on the determination of the damage likely to occur during the lifetime of these structures due to earthquake ground motion excitation. However, there is not a consensus about the acceptable level of seismic damage, the expected lifetime of these structures, and the seismic hazard level(s) to evaluate the structures at. This paper presents a methodology for the parametric determination of the seismic collapse risk of an existing Reinforced Concrete (RC) frame building based on its seismic code compliance, quantified by a dimensionless metric. This metric, defined as compliance factor, compares the seismic capacity of an existing structure with the seismic demand for a new structure at a predetermined hazard level. The inelastic seismic behavior of four models of the RC frame building of varying compliance was analytically investigated in this study to demonstrate the implementation of the novel methodology. The four models of the RC building were chosen to represent existing RC frame structures, designed and constructed before the introduction of the modern seismic code provisions. These four building models were excited by a group of earthquake ground motion excitations using Incremental Dynamic Analysis (IDA). The collapse probability of the four models of the RC building representing varying values of seismic code compliance was determined for two different locations corresponding to regions of moderate and high seismic hazard, thus laying the basis for the compliance-based estimation of the seismic collapse risk of existing structures.

scholarly journals Seismic Response Analysis and Evaluation of Laminated Rubber Bearing Supported Bridge Based on the Artificial Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Bingzhe Zhang ◽  
Kehai Wang ◽  
Guanya Lu ◽  
Weizuo Guo
Keyword(s):  
Seismic Response ◽  
Seismic Damage ◽  
Response Analysis ◽  
Seismic Demand ◽  
Vertical Load ◽  
Demand Model ◽  
Seismic Response Analysis ◽  
Seismic Demands ◽  
Seismic Demand Model ◽  
Rubber Bearings

Laminated rubber bearings are commonly adopted in small-to-medium span highway bridges in earthquake-prone areas. The accurate establishment of the mechanical model of laminated rubber bearings is one of most critical steps for the bridge seismic response analysis. A new constitutive model of bearing based on the artificial neural network (ANN) technique is established through the static cyclic test of laminated rubber bearings, considering the bearing initial stiffness, friction coefficient, and other parameters such as the bearing sectional area, height, loading velocity, vertical load, and aging time. Combined with the ANN method, the ANN-based bridge seismic demand model is built and applied to the rapid evaluation of the bridge seismic damage. The importance of the bearing affecting design factors in the bridge seismic demands are ranked. The results demonstrated that the dimensions of the bearing and vertical load are the main factors affecting the bearings constitutive model. Based on the partial dependency analysis with the ANN-based bridge seismic demand model, it is concluded that the height of bearing is the key design parameter which affects the bridge seismic response the most. The ANN seismic demands model can fit the complex function relationship between various factors and bridge seismic response with high precision, so as to achieve the rapid evaluation of bridge seismic damage.

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