Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques

Ray, Rahul; Choudhary, Shiva Shankar; Roy, Lal Bahadur; Kaloop, Mosbeh R.; Samui, Pijush; Kurup, Pradeep; Ahn, Jungkyu; Hu, Jong Wan

doi:10.1016/j.cscm.2023.e01898

Cited by 13 publications

(5 citation statements)

References 40 publications

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“…These parameters include NS, GPI, LMI, U95, RMSE, VAF, R 2 , WI, t-statistic, MAPE, Adj. R 2 , PI, Bias Factor, RSR, NMBE, MBE, MAE, RPD and β [27]. These statistical parameters collectively provide a comprehensive evaluation of the hybrid RF-SVR-MOPSOA model's performance and suitability for reinforced soil slope stability analysis.…”

Section: Model Evaluationmentioning

confidence: 99%

“…The GA-ANFIS model outperformed RFC and GMDH, exhibiting high accuracy metrics such as NS, VAF, RMSE, bias factor, R 2 , PI, GPI, -stat, U95, tand β. This study highlights GA-ANFIS as a reliable soft computing technique for slope stability analysis [27]. Extreme learning machine (ELM) was utilized on worldwide slope cases, demonstrating its advantages over GRNN and genetic algorithm models.…”

Section: Comparative Analysis Of Slope Stability Evaluation Studiesmentioning

confidence: 99%

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A Novel Multi-Objective Particle Swarm Optimized RF-SVR Model for Reinforced Soil Slope Stability Analysis

2024

IJIES

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In geotechnical engineering, the stability analysis of reinforced soil slopes is important to ensure the safety and longevity of infrastructures. In this study, a novel multi-objective particle swarm optimized RF-SVR (random forest and support vector regression) model aimed to evaluate the stability of reinforced soil slopes. The proposed Hybrid RF-SVR-MOPSOA model combines the advantages of both machine learning techniques and optimization algorithms and offers enhanced predictive accuracy and efficiency. Assessing the model's effectiveness involves proposed model was compared with three traditional regression models: Elastic net regression (ENR), ridge regression (RR), and lasso regression (LR). Various performance assessment parameters and ROC curve plots were employed to determine the most suitable model for reinforced soil slope stability analysis. The findings indicate that the proposed hybrid RF-SVR-MOPSOA model demonstrates superior performance compared to other traditional regression models. This innovative approach significantly expands the possibilities for enhancing the assessment of slope stability and ensuring safer and more resilient infrastructural development.

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Section: Model Evaluationmentioning

confidence: 99%

Section: Comparative Analysis Of Slope Stability Evaluation Studiesmentioning

confidence: 99%

A Novel Multi-Objective Particle Swarm Optimized RF-SVR Model for Reinforced Soil Slope Stability Analysis

2024

IJIES

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“…This demonstrates that the GPC specimens fail at temperatures higher than 800°C. [87][88][89][90][91] Figure 9 shows the geopolymer matrix powder after being subjected to exposed elevated temperatures. This illustration demonstrates that the geopolymer matrix becomes darker after being subjected to higher exposure temperatures.…”

Section: Ultrasonic Pulse Velocity Test (Upvt)mentioning

confidence: 99%

Investigation on the impact of elevated temperature on sustainable geopolymer composite

Verma,

Meena,

Singh

et al. 2023

Advances in Mechanical Engineering

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Geopolymer concrete (GPC) is an eco-friendly, sustainable, cementless and green concrete. It could be an alternative to the conventional concrete. In alkaline circumstances, the alumina and silica concentration in geopolymer concrete creates the geopolymer bond, while regular concrete creates C-S-H (calcium silicate hydrate bond). The final result of the geopolymer bond does not include any water. At elevated temperatures, geopolymer concrete would thus be more stable. Due to its greater strength and durability quality, geopolymer concrete may be the ideal replacement for ordinary portland cement (OPC) concrete. This research intends to examine how specimens of geopolymer concrete and regular concrete respond to exposure to increased temperatures between 100°C and 800°C. Mass loss, ultrasonic pulse velocity, compressive strength, X-ray diffraction, thermogravimetric analysis and derivative thermogravimetric analysis were all examined throughout the experimental examination. Both concrete specimens lose mass or weight as the exposure temperature rises; OPC concrete samples spalls at 600°C, while GPC sample fail at 800°C. GPC specimens lose around 12% of their original mass after being exposed to temperatures of 800°C, while OPC specimens lose about 7%. The GPC specimens maintained 60% of their initial compressive strength after being exposed to a temperature of 700°C, but the OPC concrete specimens only kept 52%. With each increase in exposure to extreme temperatures, the peaks of quartz and cristobalite are lowered. Only the form or structure of the mineral oxide would change; the chemical linkages would remain. The GPC samples subjected to temperatures of 100°C exhibit effective thermal stability than all other specimens exposed to extreme temperatures. As the exposure temperature rises, the GPC specimens become more thermally stable. According to the experimental findings, the GPC specimens’ bonding structure makes them more resistant to high temperatures than regular concrete specimens. Micropores are present in the voids of the geopolymer matrix, while mesopores and micropores are present in the voids of the OPC matrix. While OPC bonding is C-S-H formed by the hydration of lime and silica contained in the cement, the geopolymer bonding did not include the water content in the final or end result of geopolymerisation for strengthening.

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“…Among the many current soil improvement methods, geosynthetics are commonly used in sand reinforcement in engineering and are widely used on slopes [2][3][4][5], retaining walls [6][7][8][9], dams, highways, railroad beds, and other projects. However, traditional soil reinforcement methods such as the unidirectional laying of geogrids [10][11][12][13][14][15][16], geotextiles [17][18][19][20][21][22][23], and other reinforcement materials can easily form potentially weak surfaces in the soil and increase its anisotropy.…”

Section: Introductionmentioning

confidence: 99%

Analysis of basalt fiber reinforcement on static shear properties of Beibu Gulf sea sand

Wang,

He,

Tang

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Basalt fibers are a reinforcing material with excellent mechanical properties and durability. In contrast, although Beibu Gulf sea sand is widely in engineering, it exhibits low strength and poor stability, which can be improved by adding basalt fibers. In this study, the effects of fiber content, fiber length, and effective confining pressure on the static shear strength of fiber-reinforced sea sand were investigated using a triaxial shear test. The maximum improvement on the static shear characteristics and deformation resistance of sea sand were achieved for a fiber content and length of 0.8% and 12 mm, respectively. The cohesion and internal friction angle of sea sand were improved and the secant modulus and strain before and after basalt fiber reinforcement showed a nonlinear attenuation tendency. The reinforcement effect coefficient R and the basalt fiber content under different dosages were in accordance with the law of the Gaussian function. The value of R conformed to a linear growth and exponential function law under different fiber lengths and effective confining pressures, respectively. This study provides a solid theoretical basis for the sustainable utilization of sea sand resources and fiber reinforcement for road and coastal protection engineering in the Beibu Gulf region.

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Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques

Cited by 13 publications

References 40 publications

A Novel Multi-Objective Particle Swarm Optimized RF-SVR Model for Reinforced Soil Slope Stability Analysis

A Novel Multi-Objective Particle Swarm Optimized RF-SVR Model for Reinforced Soil Slope Stability Analysis

Investigation on the impact of elevated temperature on sustainable geopolymer composite

Analysis of basalt fiber reinforcement on static shear properties of Beibu Gulf sea sand

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