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Estimation of the stability of tailings dams based on genetic algorithm-supported calibration results and monitoring data Cover

Estimation of the stability of tailings dams based on genetic algorithm-supported calibration results and monitoring data

By:   
Open Access
|Apr 2026

Figures & Tables

Figure 1

Solution coding into a sequence of real numbers.

Source: Author’s contribution.

Figure 2

Uniform crossover.

Source: Author’s contribution.

Table 1

Interpretation of Pearson correlation coefficient based on [36].

Correlation coefficient (|R|)Strength of correlation
0.00–0.19Very weak
0.20–0.39Weak
0.40–0.59Moderate
0.60–0.79Strong
0.80–1.00Very strong

Source: Author’s contribution.

Figure 3

Numerical model and location of nodes selected as monitoring gauges.

Source: Author’s contribution.

Table 2

Material parameters used to generate synthetic monitoring data.

MaterialCase E (MPa) ν (−) k x (m/s) k y (m/s) P c0 (kPa) λ (−) R (−) c (kPa) φ (°) ME (−) γ (kN/m3) n (−) S r (−) α (1/m)OCR (−)
1A1.3856.40.366.31 × 10−10 3.71 × 10−9 654.780.071.4612.3916.466.717.30.3200.11.4
1.4855.10.271.82 × 10−9 1.44 × 10−9 476.470.061.2811.0517.9111.8
1.6457.760.348.51 × 10−9 6.92 × 10−9 459.170.101.711319.5712
2B1.3872.520.231.99 × 10−8 5.37 × 10−9 640.80.131.8115.420.6817.70.3300.51.34
1.4875.570.345.75 × 10−8 2.34 × 10−8 399.580.111.2118.322.84
1.6490.390.272.69 × 10−7 1.99 × 10−9 565.640.091.2318.4520.47
3C1.38175.780.213.63 × 10−6 3.63 × 10−6 9.8132.9516.90.3605
1.48109.230.282.24 × 10−6 2.24 × 10−6 6.8135.5
1.64173.060.24.27 × 10−6 4.27 × 10−6 8.134.68
Dykes1.38117.80.236.61 × 10−5 2.09 × 10−4 2034190.15010
1.48107.740.289.12 × 10−5 2.88 × 10−4
1.64114.120.32.23 × 10−5 7.08 × 10−5
Beaches1.3857.320.316.61 × 10−6 2.09 × 10−5 1020170.1501.9
1.4841.390.339.12 × 10−6 2.88 × 10−5
1.6445.840.242.23 × 10−6 7.08 × 10−6
Sediments1.3820.860.321.44 × 10−9 1.44 × 10−9 1020170.1500.75
1.4821.490.41.95 × 10−8 1.95 × 10−8
1.6428.620.281.35 × 10−8 1.35 × 10−8

Note: E – Young’s Modulus; ν – Poisson’s ratio; k x , k y – horizontal and vertical hydraulic conductivity; ME – Young’s Modulus (E) multiplier at depth Y = −50 m; γ – dry unit weight; n – porosity; S r , α – van Genuchten parameters; OCR – initial state parameter for cap model [41]; c – cohesion; φ – angle of internal friction.

Source: Author’s contribution.

Figure 4

Cap model yield surface.

Source: Author’s contribution.

Figure 5

Unfitness and its mean (dashed) change during genetic algorithm calibration.

Source: Author’s contribution.

Figure 6

Match to horizontal (left) and vertical (right) displacement data of U2 gauge.

Source: Author’s contribution.

Table 3

Permissible ranges of parameters being calibrated.

MaterialParameterMinMax
1A E (MPa)15.060.0
ν (−)0.200.40
k x (m/s)1 × 10−11 1 × 10−8
k y (m/s)1 × 10−11 1 × 10−8
P c0 (kPa)300700
λ (−)0.050.15
R (−)1.22.0
c (kPa)1015
φ (°)1520
ME (−)513
2B E (MPa)60100
ν (−)0.200.40
k x (m/s)1 × 10−9 1 × 10−6
k y (m/s)1 × 10−9 1 × 10−6
P c0 (kPa)300700
λ (−)0.050.15
R (−)1.22.0
c (kPa)1520
φ (°)2025
3C E (MPa)100200
ν (−)0.200.35
k x = k y (m/s)1 × 10−6 1 × 10−4
c (kPa)310
φ (°)2636
Dykes E (MPa)70120
ν (−)0.200.35
Beaches E (MPa)3070
ν (−)0.20.4
k x (m/s)1 × 10−7 1 × 10−5
k y (m/s)1 × 10−7 1 × 10−5
Sediments E (MPa)1030
ν (−)0.20.4
k x = k y (m/s)1 × 10−9 1 × 10−6

Source: Author’s contribution.

Figure 7

Match to piezometric data of P2 (left) and P3 (right) gauges.

Source: Author’s contribution.

Figure 8

Relationships between FOS and parameters or unfitness; red dot indicates true values of FOS and parameters, and R is Pearson coefficient.

Source: Author’s contribution.

Figure 9

Hydraulic conductivity ranges assumed to be correct identification.

Source: Author’s contribution.

Figure 10

FOS values for correctly identified hydraulic conductivity and angle of internal friction.

Source: Author’s contribution.

Figure 11

Relationship between piezometer fit (expressed as RMSE) and FOS in case 1.38.

Source: Author’s contribution.

Figure 12

Relationship between piezometer fit (expressed as RMSE) and FOS in case 1.48.

Source: Author’s contribution.

Figure 13

Relationship between piezometer fit (expressed as RMSE) and FOS in case 1.64.

Source: Author’s contribution.

Figure 14

FOS estimated using individuals with value above RMSE calculated on piezometers (above) or unfitness (below).

Source: Author’s contribution.

DOI: https://doi.org/10.2478/sgem-2026-0001 | Journal eISSN: 2083-831X (formerly 0137-124X) | Journal ISSN: 0137-6365
Language: English
Page range: 1 - 16
Submitted on: Mar 20, 2025
Accepted on: Jan 16, 2026
Published on: Apr 21, 2026
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services

© 2026 Szczepan Grosel, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.