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Showing 3 results for Safety Factor

, Mohamad Ghafoori, Javad Ahmadzadeh, Salameh Afshar,
Volume 10, Issue 1 (8-2016)
Abstract

In tunnelling in soil mass, in groundwater existing mode, liquefaction, elastic displacements and settlement in soils upon the tunnel, are the risks may attack the excavated underground space stability. In this case study that were performed on second line of Mashhad city subway route, information catched from Standard Penetration Test, in situ and laboratorial tests, were used to optimum numerical values search for soil engineering parameters that could optimize the TBM stationing level. In order to this goal attaining, intelligent, numerical and probabilistic methods were used and the reliability of intelligent and numerical methods with the Safety Factors of tunnel stability, investigated simultaneously. The results were denoting the accordance of intelligent models such as Genetic Algorithm (GA) and Multi objective Genetic Algorithm with Finite Element model's output. So these models could be complement of each others in planning and designing of tunnels and using of them advised in tunneling and excavations.


Mis Tahereh Daniyalnezad, Dr Aliakbar Momeni,
Volume 19, Issue 3 (12-2025)
Abstract

Following an unusual period of rainfall period at the end of the previous winter, several landslides occurred in Tolubin village in early spring 2019. These landslides resulted in the destruction of 12 houses as well as causingdamage to roads and gas transmission lines. This this research was therefore conducted to investigate the mechanism of these landslides. The study was comprised four main phases: a literature review, field investigations, laboratory studies, and a slope stability assessment using Slide 6.20 software. During the field surveys, landslide-prone profiles were identified, and both disturbed and undisturbed samples were collected. The disturbed samples were used for laboratory tests, including determining the grain size distribution, calculating the Atterberg limits, performing calcimetry, conducting X-ray diffraction (XRD) analysis, and carrying out scanning electron microscopy (SEM) analysis. Additionally, 27 undisturbed samples were prepared for direct shear tests under varying moisture conditions. Finally, stability analyses of the studied profiles were performed in Slide software under different moisture conditions, considering both static and quasi-static states, based on the geometric characteristics of the slopes and shear strength parameters (internal friction angle and cohesion).. The obtained safety factors indicated that all slopes were on the threshold of failure under saturated static conditions and would certainly fail under saturated quasi-static conditions. In conclusion, the high sensitivity of the slope’s marly materials to moisture variations and the unusual rainfall in February and March 2019 were identified as the primary factors contributing to these landslides.

Dr Seyed Ali Asghari Pari,
Volume 20, Issue 1 (6-2026)
Abstract

This study systematically compares probabilistic slope stability analyses performed using three widely used geotechnical engineering software packages: PLAXIS LE V21, GeoStudio 2024 (SLOPE/W module) and Slide2. Probabilistic analysis has emerged as an essential approach for quantifying uncertainties and calculating key metrics such as probability of failure and reliability index, given the critical importance of risk assessment and the inherent uncertainty in soil parameters. This research evaluates the capabilities, accuracy and efficiency of each software package, as well as their respective limitations, by performing identical analyses on three distinct scenarios (homogeneous soil, three-layered soil and pseudo-static conditions) while employing ten common limit equilibrium methods. The results show that, as the complexity of the problem increases, the factor of safety decreases while the probability of failure and discrepancies between the software packages increase. In the homogeneous scenario, the mean factor of safety ranges from 1.35 to 1.55, depending on the method selected, with a failure probability of 8–12%, and inter-software differences of less than 5%. In the layered scenario, the mean factor of safety decreases to 1.30–1.40, with inter-software discrepancies reaching approximately 15%. Under pseudo-static conditions, the mean factor of safety reduces by around 21% (to 1.15), the probability of failure rises to an average of 27%, and the inter-software discrepancies reach 25%. Advanced methods (Morgenstern-Price and Spencer) yield higher safety factors than simple methods (Ordinary/Fellenius). In terms of software performance, Plaxis LE offers the greatest accuracy in complex conditions, GeoStudio provides the most conservative estimates and, thanks to its advanced graphical tools, Slide2 is a suitable option for probabilistic risk assessment.



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