4.7 Article

GPDEM-based stochastic seismic response analysis of high concrete-faced rockfill dam with spatial variability of rockfill properties based on plastic deformation

Journal

COMPUTERS AND GEOTECHNICS
Volume 139, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2021.104416

Keywords

CFRDs; Rockfill; GPDEM; Random field; Stochastic seismic response; Deformation; Probability analysis

Funding

  1. China National Natural Science Foundation [52009017, 51979026]
  2. China National Postdoctoral Program for Innovative Talents [BX20190057]
  3. China National Postdoctoral Science Foundation [2020M680951]
  4. Liaoning Province Science Foundation [2020-BS-06]

Ask authors/readers for more resources

A probabilistic analysis method named the generalized probability density evolution method (GPDEM) combined with random fields generated by K-L decomposition was proposed for evaluating the stochastic seismic responses of concrete-faced rockfill dams (CFRDs). The study found that the control parameter and cross-correlation coefficient significantly influenced the stochastic seismic response, with the nonfaced-slab side being more sensitive to rockfill uncertainties. The research highlights the importance of understanding and accounting for rockfill spatial variability in seismic analysis.
The spatial variability of rockfill properties is the key factor affecting stochastic seismic responses. Herein, an efficient probabilistic analysis method for stochastic seismic analysis named the generalized probability density evolution method (GPDEM) is proposed and combined with the random field generated by K-L decomposition to evaluate the stochastic seismic responses of concrete-faced rockfill dams (CFRDs) during earthquakes. The vertical plastic deformation is selected as a significant index to quantify the effect of rockfill spatial variability. First, a series of 2D random fields and a finite element model of the CFRD profile are established. Each realization of random fields is assigned to each grid depending on the coordinates. Then, four working conditions (different constitutive model parameters, cross-correlation coefficients, concrete-faced slab contact positions and earthquake intensities) are investigated and compared in CFRD dynamic calculations. Finally, the GPDEM-based vertical plastic deformation results are obtained, and probabilistic analyses are carried out to evaluate the influence of rockfill property uncertainty on the stochastic seismic responses. Multiple figures of the probability density function (PDF) and cumulative distribution function (CDF) of dynamic calculations are shown as examples to analyze the marked effect of rockfill spatial variability. The results demonstrate that the control parameter (M-f) is the most influential parameter of stochastic seismic responses in the GPDEM. The cross-correlation coefficient increases the probability of large vertical plastic deformation compared to zero. Moreover, the nonfaced-slab side is more sensitive to the effect of rockfill uncertainties. Increasing the seismic motion intensity causes a larger probability beyond the limit.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available