A computational framework for regional seismic simulation of buildings with multiple fidelity models

Xu, Zhen; Lu, Xinzheng; Law, Kincho H.

doi:10.1016/j.advengsoft.2016.05.014

Cited by 22 publications

(12 citation statements)

References 36 publications

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“…According to the calculation methods in Equations (8)- (11), the computed reduction factors of the four key parameters of all specimens are displayed in Figure 6. The reduction factors of all four key parameters are fitted using linear regression and the results are shown in Equations (12)- (15). Note that the experimental results are relatively dispersed, the expectation value and standard deviation of regression errors are presented in Equations (12)- (15) to demonstrate the dispersion of experimental data.…”

Section: Statistical Analysis Of Experimental Results Of Corroded Rc mentioning

confidence: 99%

“…The reduction factors of all four key parameters are fitted using linear regression and the results are shown in Equations (12)- (15). Note that the experimental results are relatively dispersed, the expectation value and standard deviation of regression errors are presented in Equations (12)- (15) to demonstrate the dispersion of experimental data. According to the results, all four reduction factors decrease with an increase in degree of corrosion.…”

Section: Statistical Analysis Of Experimental Results Of Corroded Rc mentioning

confidence: 99%

“…The THA-based method uses the multi-degree-of-freedom (MDOF) model or a refined finite element model, which can better simulate the dynamic responses of buildings and fully consider the time/spectral domain characteristics of ground motions. Powered by high-performance computing [14,15], the THA-based regional seismic damage simulation method has had wide applications in previous studies [4,6,[16][17][18][19]. The THA-based regional seismic damage simulation method has also been adopted into the Natural Hazards Engineering Research Infrastructure SimCenter framework [20].…”

Section: Introductionmentioning

confidence: 99%

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Regional Seismic Damage Simulation of Corroded RC Frame Structures: A Case Study of Shenzhen City

et al. 2020

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Buildings in coastal cities are susceptible to chloride ion attack and the seismic performance of these buildings can be impaired due to corrosion of reinforcements. In this study, a regional seismic damage simulation method that considers the influence of corrosion-induced seismic performance degradation is proposed. Firstly, the framework of the method is introduced, and the simulation process is presented. Secondly, experimental data of corroded reinforced concrete (RC) components are collected to obtain the reduction rules of component level backbone curve parameters (i.e., initial stiffness, peak carrying capacity, peak displacement, and ultimate carrying capacity). Afterwards, pushover analyses of typical RC frames in different corrosion conditions (i.e., degree of corrosion of components and proportion of corroded components) are conducted to acquire the reduction rules of interstory backbone curve parameters of corroded RC frame structures. Finally, RC frame structures, in Shenzhen city, are simulated using different corrosion scenarios. Simulated results indicate that some buildings along the coastline are affected by airborne chloride-induced corrosion and severe seismic damage can be observed. Moreover, some buildings that are far from the coastline can also experience severe seismic damage due to irregular use of sea sand as constructional material. The proposed method can be used to simulate the seismic performance of corroded RC structures and the outcomes of this study are expected to provide a useful reference for the seismic risk management of coastal cities.

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Section: Statistical Analysis Of Experimental Results Of Corroded Rc mentioning

confidence: 99%

Section: Statistical Analysis Of Experimental Results Of Corroded Rc mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Regional Seismic Damage Simulation of Corroded RC Frame Structures: A Case Study of Shenzhen City

et al. 2020

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“…One effective solution is to scale the compute‐intensive model updating program to clusters or clouds. With the rapid development of computer science, there have been many successful applications of using distributed computing cluster/cloud to accelerate the intensive and routine simulations . However, very limited studies on the cluster computing‐aided FE model updating can be found in the literature.…”

Section: Cluster Computing‐aided Fe Model Updatingmentioning

confidence: 99%

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Lin

et al. 2020

Earthq Engng Struct Dyn

Self Cite

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Accurate and high-fidelity finite element (FE) models are in great demand in the design, performance assessment, and life-cycle maintenance of long-span cable-stayed bridges. The structural system of a long-span cable-stayed bridge is often huge in size and complex with many components connected and various materials constituted. Therefore, the FE model of a long-span cable-stayed bridge involves a large number of elements and nodes with many uncertainties. The model updating of the FE model to best represent a real bridge is necessary but very challenging. One of the challenging issues is that the numerical computation needed for searching the global optimum of a large set of structural parameters is so extensive that the existing FE (not surrogate) model-based updating methods cannot fulfill this task. In this study, a cluster computing-aided FE model updating framework is proposed for the highperformance FE model updating of large and complex structures. In the framework, several computer software packages, including MSC.Marc, Python, and MATLAB, are interconnected for making use of their respective functions of strength. The shake table test of a scaled physical structure of the Sutong cable-stayed bridge in China is used to validate the accuracy and efficiency of the proposed framework. The simulated bridge responses based on the updated FE model are in good agreement with the measured ones from the shake table test. The successful application of the proposed framework provides a reference for the model updating of other types of large and complex structures. K E Y W O R D S cluster computing, finite element model updating, large and complex structures, long-span cable-stayed bridge, shake table test

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“…Such a visualization provides an intuitive decision analysis platform for disaster-related personnel, which is of great significance for mitigating the potential adverse effects caused by disasters. Much work has been conducted in this field, such as personal computer (PC)-based 3D visualizations of flood disaster scenes [3][4][5][6][7][8][9][10][11], earthquake disaster scenes [12][13][14][15][16], and geological disaster scenes [17][18][19]; immersive experiences of disasters, based on PC virtual reality (VR) systems [20][21][22][23][24][25]; and 3D disaster simulation and visualization analyses, based on diverse computing systems (such as desktops, laptops, tablets, and smartphones) [26].…”

Section: Introductionmentioning

confidence: 99%

Construction and Optimization of Three-Dimensional Disaster Scenes within Mobile Virtual Reality

Zhu

et al. 2018

IJGI

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Because mobile virtual reality (VR) is both mobile and immersive, three-dimensional (3D) visualizations of disaster scenes based in mobile VR enable users to perceive and recognize disaster environments faster and better than is possible with other methods. To achieve immersion and prevent users from feeling dizzy, such visualizations require a high scene-rendering frame rate. However, the existing related visualization work cannot provide a sufficient solution for this purpose. This study focuses on the construction and optimization of a 3D disaster scene in order to satisfy the high frame-rate requirements for the rendering of 3D disaster scenes in mobile VR. First, the design of a plugin-free browser/server (B/S) architecture for 3D disaster scene construction and visualization based in mobile VR is presented. Second, certain key technologies for scene optimization are discussed, including diverse modes of scene data representation, representation optimization of mobile scenes, and adaptive scheduling of mobile scenes. By means of these technologies, smartphones with various performance levels can achieve higher scene-rendering frame rates and improved visual quality. Finally, using a flood disaster as an example, a plugin-free prototype system was developed, and experiments were conducted. The experimental results demonstrate that a 3D disaster scene constructed via the methods addressed in this study has a sufficiently high scene-rendering frame rate to satisfy the requirements for rendering a 3D disaster scene in mobile VR.

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A computational framework for regional seismic simulation of buildings with multiple fidelity models

Cited by 22 publications

References 36 publications

Regional Seismic Damage Simulation of Corroded RC Frame Structures: A Case Study of Shenzhen City

Regional Seismic Damage Simulation of Corroded RC Frame Structures: A Case Study of Shenzhen City

Cluster computing‐aided model updating for a high‐fidelity finite element model of a long‐span cable‐stayed bridge

Construction and Optimization of Three-Dimensional Disaster Scenes within Mobile Virtual Reality

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