Time domain stochastic finite element simulation towards probabilistic seismic soil-structure interaction analysis

Wang, Fangbo; Sett, Kallol

doi:10.1016/j.soildyn.2018.10.021

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Material model parameters were calibrated to represent realistic soil and structural materials. An Ormsby wavelet motion was applied to the model using wave potential function and DRM [48,22,9,52]. Full elastic-plastic response of soil, interfaces, and structural elements was modeled in order to account for displacement proportional, plastic energy dissipation.…”

Section: Discussionmentioning

confidence: 99%

An energy-based analysis framework for soil structure interaction systems

Yang

Wang

Jeremić

2022

Computers & Structures

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Section: Discussionmentioning

confidence: 99%

An energy-based analysis framework for soil structure interaction systems

Yang

Wang

Jeremić

2022

Computers & Structures

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“…Engineering structures have random material properties and geometric parameters due to their construction, materials, and other factors. These parameters have spatial characteristics, for example, the randomness of material properties in mass concrete structures, the randomness of geometric irregularities in track structures [1][2][3], and the randomness of soil layer properties in geotechnical and slope engineering [4]. Random fields are the common name for these random features.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Finite Element Analysis of Plate Structures Considering Spatial Parameter Random Fields

Yang

Liu

2023

Mathematics

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For plate structures, their random parameters can be regarded as a two-dimensional random field in the plane. To solve the plate theory considering a two-dimensional random field, an efficient strategy for the stochastic finite element method was adopted. Firstly, the stochastic finite element method was used to establish the plate structural model, in which the random field characteristics of the parameter were considered, and the mathematical expression of its random field was obtained through the Karhunen–Loève expansion; secondly, the point estimate method was applied to calculate the statistics of random structures. The computational efficiency can be significantly improved through the reference point selection strategy. The accuracy and efficiency of the calculation strategy were verified, and the influences of correlation length and coefficient of variation of the parameter on the random response of plate structures under different plate types (including Kirchhoff plate and Mindlin plate) and boundary conditions (including simply supported and clamped supported) were discussed. The proposed method can provide some help in solving static problems of plate structures.

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“…Recently, a time-domain intrusive stochastic elastic-plastic finite element method was developed by Sett et al (2011), Wang and Sett (2016) using stochastic Galerkin method. Developed methodology can incorporate non-Gaussian random field for uncertain material parameters and non-stationary random process for uncertain seismic loads, and perform stochastic seismic wave propagation analysis (Wang and Sett 2019). Due to its computational efficiency, this paper extends the conventional deterministic domain reduction method (Bielak et al 2003) which allows reduction of computational domain to improve simulation efficiency.…”

Section: Introductionmentioning

confidence: 99%