Ground Vibrations Level Characterization Through the Geological Strength Index (Gsi)

Mesec, Josip; Strelec, Stjepan; Težak, Denis

doi:10.17794/rgn.2017.1.1

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Although the GSI system was developed for its exclusive application with the Hoek-Brown failure criterion, it has been found in engineering practice that it can be used successfully in other areas of rock mechanics. The specific application approach includes the development of GSI charts for the study of any particular problem; for example, qualitative charts have been developed to design support systems for tunnels in Peruvian mines (Mejía and Chacón, 2009), the study of rock mass excavability (Tsiambaos and Saraglou, 2009), the study of rock mass permeability (Kayabasi, 2017) or the evaluation of vibrations in the rock mass (Mesec et al, 2016).…”

Section: Specific Application Approachmentioning

confidence: 99%

Comparative Analysis of Different Calculation Methods of the Geological Strength Index (Gsi) Based on Qualitative and Quantitative Approaches

Pozo

2022

MGPB

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In this research, the dispersion of the Geological Strength Index (GSI) values obtained with quantitative and qualitative approaches has been evaluated in four rock outcrops of different quality. The subjective component associated with qualitative or visual methods has been studied by conducting a virtual survey in a group of forty participants constituted by civil engineers, geological engineers, and mining engineers from Peru, Spain, and Chile, who were given a data sheet with a photograph and a basic description of each rock mass. The results showed that the GSI values fit a normal distribution characterized by a mean value and a standard deviation, which in some cases could present moderate to high coefficients of variation (COVs). This paper also includes the study of the dispersion of the GSI values obtained with quantitative formulations that have been evaluated and incorporated into regional databases to assess trends, mainly in the GSI-RMR’ relationships. The results indicate that the average GSI values reported with both approaches are similar; however, with the quantitative methodologies, COV values were classified as low to moderate, which is better adjusted to the suggested COV values for the GSI. Despite this, quantitative methodologies must be used with caution, taking into account the characteristics of the rock masses on which the relationships have been defined.

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Section: Specific Application Approachmentioning

confidence: 99%

Comparative Analysis of Different Calculation Methods of the Geological Strength Index (Gsi) Based on Qualitative and Quantitative Approaches

Pozo

2022

MGPB

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“…Angular rock pieces with clean, rough surfaces will result in a much stronger rock mass than one that contains rounded particles surrounded by weathered and altered material (Wyllie et al, 2009). GSI improves geological logic and reduces engineering uncertainty throughout the quantification of the many characteristics of a rock mass (Mesec et al, 2017). Kumar at al.…”

Section: Vibration Attenuation Prediction Using Geomechanical Parametersmentioning

confidence: 99%

Comparing blast-induced ground vibration models using ANN and empirical geomechanical relationships

et al. 2018

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Blasting remains as an economical and reliable excavation technique, but there are some environmental shortcomings such as the control of blast-induced vibration. The impacts of vibration over surrounding communities in a blast area have been investigated for decades and researchers have been using a myriad of empirical predictive attenuation equations. These models, however, may not have satisfactory accuracy, since parameters associated to geomechanical properties and geology affect the propagation of seismic waves, making vibration modeling a complex process. This study aims for application of an Artificial Neural Network (ANN) method and Geomechanical parameter relationships to simulate the blast-induced vibration for a Brazilian mining site and then compare them to the traditional approach. ANN had the best performance for this mine despite having demanded large datasets (as much as for the traditional approach), while geomechanical parameters like RQD and GSI may be used to deliver a fair approach even without seismic data. Also, ANN methods may be useful in dealing with a large amount of information to facilitate the simulation process when combined with other methods. Therefore, alternative prediction methods may be helpful for small budget mining operations in planning and controlling blast-induced vibration and helping mining in urban areas becoming a more sustainable activity.

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“…The vibration effects vary from annoying human disturbances to structural damage. Scientists and experts in this area agree that the level of excited ground and structure vibrations depends on blasting technology, explosive type and mass, delay-timing variations, site geology, scaled distance, parameters of waves propagating at a location, susceptibility ratings of adjacent and remote structures, and other factors (Mesec et al, 2010;Mesec et al, 2016). However, the prediction of particle velocity has great importance in the minimisation of the environmental complaints.…”

Section: Introductionmentioning

confidence: 99%

Reducing the Adverse Effects of Blasting on the Cave Ecosystem Near the Future Exploitation Field Gradusa

Mesec

Težak

Jug

2018

MGPB

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The future exploitation fi eld of crushed stone Gradusa is located in the area of the Sunja municipality in the Sisak-Moslavina County. Near Gradusa, there is a cave that is part of the ecological network as a conservation area important for several species and habitat types of bats. The signifi cance of the cave is also its location in the continental part of Croatia where it is among a small number of objects that bats can use in all periods of their annual cycle. Due to the location and importance of habitats, there was a need to defi ne the primary environmental impact assessment for the ecological network. This assessment is the most important document for the possible acquiring of a location permit for exploitation of the future quarry of Gradusa. This paper presents the results of trial blasting and guidelines for reducing the adverse blasting eff ects on the cave ecosystem near the future exploitation fi eld Gradusa. These are vibrations and noises, which may have an adverse impact on the habitats of bats. Cavers and experts on bats have also been included in the process of selecting the micro-location.

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Ground Vibrations Level Characterization Through the Geological Strength Index (Gsi)

Cited by 6 publications

References 1 publication

Comparative Analysis of Different Calculation Methods of the Geological Strength Index (Gsi) Based on Qualitative and Quantitative Approaches

Comparative Analysis of Different Calculation Methods of the Geological Strength Index (Gsi) Based on Qualitative and Quantitative Approaches

Comparing blast-induced ground vibration models using ANN and empirical geomechanical relationships

Reducing the Adverse Effects of Blasting on the Cave Ecosystem Near the Future Exploitation Field Gradusa

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