scholarly journals Seismic Fragility for a Masonry-Infilled RC (MIRC) Building Subjected to Liquefaction

2021 ◽  
Vol 11 (13) ◽  
pp. 6117
Author(s):  
Davide Forcellini
Keyword(s):  
Fragility Curves ◽  
Historical Earthquakes ◽  
Soil Liquefaction ◽  
Lateral Spread ◽  
Cyclic Behavior ◽  
Structural Performance ◽  
Seismic Fragility ◽  
Fundamental Issue ◽  
Cyclic Shear ◽  
Seismic Engineering

Historical earthquakes have documented that lateral spread and settlements are the most significant damages induced by soil liquefaction. Therefore, assessing its effects on structural performance has become a fundamental issue in seismic engineering. In this regard, the paper proposes to develop analytical fragility curves of a Masonry-Infilled RC (MIRC) structure subjected to liquefaction-induced damages. In order to reproduce the nonlinear cyclic behavior (dilation tendency and the increase in cyclic shear strength) due to liquefaction, nonlinear hysteretic materials and advanced plasticity models were applied. The findings herein obtained in terms of seismic fragility of the MIRC building subjected to liquefaction may be implemented as guidelines or code provisions.

scholarly journals Probabilistic-Based Assessment of Liquefaction-Induced Damage with Analytical Fragility Curves

Geosciences ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 315
Author(s):  
Davide Forcellini
Keyword(s):  
Case Studies ◽  
Numerical Models ◽  
Fragility Curves ◽  
Free Field ◽  
Historical Earthquakes ◽  
Soil Liquefaction ◽  
Lateral Spread ◽  
Shear Behaviour ◽  
Cyclic Shear ◽  
Lp Estimation

Soil liquefaction may cause severe damages to structures mainly in terms of lateral spread and settlements, as documented during historical earthquakes. Liquefaction-potential (LP) estimation has become an important issue in seismic assessment, and this paper aims to propose a new methodology based on fragility curves. LP curves were developed and applied to two case studies performed with 3D numerical models applying Opensees. Nonlinear hysteretic materials and advanced plasticity models were used to reproduce the high nonlinear mechanisms of liquefaction, such as strong dilation tendency and cyclic shear behaviour. LP curves were applied to compare the results of the performed free field (FF) and soil–structure interaction (SSI) case studies.

Comparative seismic fragility estimates of steel moment frame buildings with or without superelastic viscous dampers

2018 ◽  
Vol 29 (18) ◽  
pp. 3598-3613 ◽  
Author(s):  
Baikuntha Silwal ◽  
Qindan Huang ◽  
Osman E Ozbulut ◽  
Mojtaba Dyanati
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Fragility Curves ◽  
Steel Frame ◽  
Structural Performance ◽  
Seismic Fragility ◽  
Viscoelastic Damper ◽  
Viscous Dampers ◽  
Earthquake Losses ◽  
Demand Models

Superelastic viscous damper is a passive hybrid control device that combines shape memory alloy cables and a viscoelastic damper to mitigate dynamic response of structures subjected to multi-level seismic hazards. In the hybrid device, shape memory alloy cables that exhibit a nonlinear but elastic response are used mainly as re-centering unit, while the viscoelastic damper composed of high-damped butyl rubber compounds is employed to augment the equivalent viscous damping provided by the device. This study evaluates the effectiveness of superelastic viscous dampers in mitigating seismic response of steel frame structures through a probabilistic framework. First, a nine-story steel frame building is designed and modeled with and without superelastic viscous dampers, and extensive nonlinear response-history analyses are conducted. Then, probabilistic demand models are developed for selected engineering demand parameters. To quantitatively compare the performance of the designed buildings, seismic fragility curves and mean annual frequency of exceeding different performance levels are developed. In particular, the structural performance is evaluated using both peak inter-story drift and residual drift responses. Results indicate that superelastic viscous dampers can significantly improve structural performance; thus, it has the potential to lower the post-earthquake losses, as the better structural performance leads to less loss in relocation, rental, and economic loss.

scholarly journals An approach to derive seismic fragility curves

2021 ◽  
Vol 1026 (1) ◽  
pp. 012007
Author(s):  
V J Vedhanayaghi ◽  
M Manoharan ◽  
J Jasper Daniel ◽  
S Premkumar ◽  
S ArunBharathi
Keyword(s):  
Fragility Curves ◽  
Seismic Fragility

scholarly journals Seismic Fragility Analysis of Mid-Story Isolation Buildings

2021 ◽  
Keyword(s):  
Fragility Curves ◽  
Ground Motions ◽  
Near Field ◽  
Fragility Analysis ◽  
Seismic Fragility ◽  
Plastic State ◽  
Far Field ◽  
Analysis Method ◽  
Isolation System ◽  
Isolation Layer

Abstract. Seismic fragility analysis is essential for seismic risk assessment of structures. This study focuses on the damage probability assessment of the mid-story isolation buildings with different locations of the isolation system. To this end, the performance-based fragility analysis method of the mid-story isolation system is proposed, adopting the maximum story drifts of structures above and below the isolation layer and displacement of the isolation layer as performance indicators. Then, the entire process of the mid-story isolation system, from the initial elastic state to the elastic-plastic state, then to the limit state, is simulated on the basis of the incremental dynamic analysis method. Seismic fragility curves are obtained for mid-story isolation buildings with different locations of the isolation layer, each with fragility curves for near-field and far-field ground motions, respectively. The results indicate that the seismic fragility probability subjected to the near-field ground motions is much greater than those subjected to the far-field ground motions. In addition, with the increase of the location of the isolation layer, the dominant components for the failure of mid-story isolated structures change from superstructure and isolation system to substructure and isolation system.

scholarly journals Seismic fragility of bridges: An approach coupling multiple-stripe analysis and Gaussian mixture for multicomponent structures

2021 ◽  
pp. 875529302110361
Author(s):  
Pedro Alexandre Conde Bandini ◽  
Jamie Ellen Padgett ◽  
Patrick Paultre ◽  
Gustavo Henrique Siqueira
Keyword(s):  
Statistical Tests ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Seismic Fragility ◽  
Correlated Response ◽  
Eastern Canada ◽  
Seismic Engineering ◽  
Response Data ◽  
Demand Models ◽  
Mean Annual Frequency

An approach is developed to build multivariate probabilistic seismic demand models (PSDMs) of multicomponent structures based on the coupling of multiple-stripe analysis and Gaussian mixture models. The proposed methodology is eminently flexible in terms of adopted assumptions, and a classic highway bridge in Eastern Canada is used to present an application of the new approach and to investigate its impact on seismic fragility analysis. Traditional PSDM methods employ lognormal distribution and linear correlation between pairs of components to fit the seismic response data, which may lead to poor statistical modeling. Using ground motion records rigorously selected for the investigated site, data are generated via response history analysis, and appropriate statistical tests are then performed to show that these hypotheses are not always valid on the response data of the case-study bridge. The clustering feature of the proposed methodology allows the construction of a multivariate PSDM with refined fitting to the correlated response data, introducing low bias into the fragility functions and mean annual frequency of violating damage states, which are crucial features for decision making in the context of performance-based seismic engineering.

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