Stochastic Mainshock–Aftershock Simulation and Its Applications in Dynamic Reliability of Structural Systems via DPIM

Pang, Rui; Zhou, Yang; Chen, Guohai; Jing, Mingyuan; Yang, Dan

doi:10.1061/(asce)em.1943-7889.0002176

Cited by 45 publications

(6 citation statements)

References 46 publications

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“…GPDEM is a research system proposed for probability analysis and reliability calculation of engineering structures by Li and Chen [10], which is widely used in high-rise frames [10][11][12], aqueducts [13], and slopes [14]. At present, the reliability and effectiveness of this method in the seismic field of enormous and complicated geotechnical engineering has been preliminarily proved [15,16].…”

Section: Gpdemmentioning

confidence: 99%

Seismic Deformation Evaluation of High Concrete Face Rockfill Dam Based on Stochastic Dynamic Analysis Method

2023

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Most of the existing studies on high dams under seismic action use stable ground motions, which cannot simulate the non-stationary process of practical ground motions well. Although many scholars have studied the special characteristics of ground motion frequency and intensity lately, relatively few systematic studies have been carried out for the residual deformation of practical high dam projects. In this paper, considering the special characteristics of ground motions, 144 non-stationary stochastic seismic acceleration time histories are generated by the spectral expression-random function method, and stochastic dynamic calculations are carried out for four three-dimensional models of Gushui, Lava, Dashixia, and Ciha Gorge, respectively. We analyze the acceleration and residual deformation laws of four concrete face rockfill dams (CFRDs) based on the generalized probability density evolution method (GPDEM) and extreme value distribution theory. According to the results, the reference value of the dam body deformation of the 250 m panel under different seismic intensities is given, and the settlement at the dam crest is proposed. When the safety control standard is 1.0~1.1%, the ultimate seismic capacity of the 250 m face rockfill dam is 0.7~0.8 g.

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Section: Gpdemmentioning

confidence: 99%

Seismic Deformation Evaluation of High Concrete Face Rockfill Dam Based on Stochastic Dynamic Analysis Method

2023

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“…Cai et al [22] investigated the impact of three-dimensional rotation stress on deep rock tunneling, showing that strengthening the core rock can significantly enhance tunnel stability. Pang et al [23,24] studied the effects of earthquakes and multi-parameter uncertainty on slope stability, and a stochastic ground motion model was proposed to examine the dynamic reliability of different structures. Meng et al [25] provided a novel method to evaluate ground settlement during tunnels' post-construction phase.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the Ground Settlement in an Urban Area Resulting from a Small Curvature Tunneling Construction

et al. 2022

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The transportation system is one of the major infrastructures in urban areas, and it serves 56% of the world’s population. Nowadays, metro lines are developing fast in urban areas. Due to the restrictions of urban fields, metro lines are usually not planned straight, and a curved line is required to connect stations in different locations in a city. As a result, small curvature tunnels are commonly constructed in urban areas. The tunneling construction in a city area may cause ground settlement, which is sensitive to surrounding buildings and underground utilities. The aim of this study is to explore the impact of curvature alignment on the ground settlement. In this paper, ground settlements induced by small curvature shield tunneling were evaluated by using a numerical analysis. A total of six cases were selected for the analysis. The results obtained from the numerical simulations were compared with Peck’s equation. It is observed that Peck’s equation can be used for the estimation of the maximum settlement. However, the ground settlements on both sides of the central axis of the curved tunnel are asymmetrical, and Peck’s equation, which provides a symmetrical settlement, may not be applicable in the case of small curvature tunnels.

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“…So, the realistic design and analysis of these physical systems must consider uncertainties contributed by various sources such as manufacturing variability, insufficient data, unknown physics, and aging [4][5][6][7] . The uncertainties may also significantly influence the predictive capabilities of computer simulations [8][9][10][11][12] . The latest advancements in high-performance computing and sensing technology have stimulated computational simulations with extremely high resolution, providing great possibilities for integrating effective uncertainty quantification methods to achieve realistic and reliable numerical predictions [13][14][15][16][17][18] .…”

Section: Introductionmentioning

confidence: 99%

A domain decomposition solver for spectral stochastic finite element: an approximate sparse expansion approach

Luo,

Cao,

Zhou

et al. 2024

Disaster Prevention and Resilience

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Spectral stochastic finite element (SSFE) has been widely used in the uncertainty quantification of real-life problems. However, the prohibitive computational burden prevents the application of the method in practical engineering systems because an enormous augmented system has to be solved. Although the domain decomposition method has been introduced to SSFE to improve the efficiency for the solution of the augmented system, there still exist significant challenges in solving the extended Schur complement (e-SC) system from domain decomposition method. In this paper, we develop an approximate sparse expansion-based domain decomposition solver to generalize the application of SSFE. An approximate sparse expansion is first presented for the subdomain-level augmented matrix so that the computational cost in each iteration of the preconditioned conjugate gradient is greatly alleviated. Based on the developed sparse expansion, we further establish an approximate sparse preconditioner to accelerate the convergence of the preconditioned conjugate gradient. The developed approximate sparse expansion-based domain decomposition solver is then incorporated in the context of SSFE. Since the difficulties of solving the e-SC system have been overcome, the developed approximate sparse expansion-based solver greatly improves the computational efficiency of the solution of the e-SC system, and thereby, the SSFE is capable of dealing with large-scale engineering systems. Two numerical examples demonstrate that the developed method can significantly enhance the efficiency for the stochastic response analysis of practical engineering systems.

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Stochastic Mainshock–Aftershock Simulation and Its Applications in Dynamic Reliability of Structural Systems via DPIM

Cited by 45 publications

References 46 publications

Seismic Deformation Evaluation of High Concrete Face Rockfill Dam Based on Stochastic Dynamic Analysis Method

Seismic Deformation Evaluation of High Concrete Face Rockfill Dam Based on Stochastic Dynamic Analysis Method

Evaluation of the Ground Settlement in an Urban Area Resulting from a Small Curvature Tunneling Construction

A domain decomposition solver for spectral stochastic finite element: an approximate sparse expansion approach

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