Determination of strength and modulus of elasticity of heterogenous sedimentary rocks: An ANFIS predictive technique

Umrao, Ravi Kumar; Sharma, Laxmi Kant; Singh, Rajesh; Singh, T. N.

doi:10.1016/j.measurement.2018.05.064

Cited by 54 publications

(12 citation statements)

References 32 publications

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“…Sometimes a core sample is not possible, especially in foliated, soft, weathered, and fractured rock, or it is not allowed in historic buildings. In addition, the UCS test is a destructive, expensive, and time-consuming method as reported by many researchers (9)(10)(11)(12)(13)(14). For these reasons, the correlation between UCS and E t with the non-destructive or simple tests that require no sample preparation is more desired (15)(16)(17).…”

Section: Introductionmentioning

confidence: 99%

Assessing the uniaxial compressive strength and tangent Young’s modulus of basalt rock using the Leeb rebound hardness test

2020

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Basalt was used as an ornamental stone in any historic and ancient cities in Jordan. Measuring the uniaxial compressive strength (UCS) and the tangent Young’s modulus (Et) in the laboratory requires premium quality specimens with special core dimensions. This research focuses on correlations both UCS and Et with Leeb Rebound Hardness Test (LRH). In the laboratory, UCS, Et, and LRH were performed on 90 core samples extracted from 30 different rock boulders collected from the neighboring area of Umm al-Jimal, a historic city in northeastern Jordan. A strong power correlation with (R2 = 0.888, RMSE = 5.464) was found between non-destructive LRH value and UCS. On the other hand, a moderately strong linear regression with (R2 = 0.792, RMSE = 4.661) was found between Et and LRH. In conclusion, non-destructive LRHs can be used as indictors for evaluating both UCS and Et during the restoration of the historic city Umm al-Jimal and the rehabilitation of other existing structures.

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Section: Introductionmentioning

confidence: 99%

Assessing the uniaxial compressive strength and tangent Young’s modulus of basalt rock using the Leeb rebound hardness test

2020

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“…Naderloo [11] proposed a model that uses ANFIS to predict crops yields based on various energy inputs. Umrao [12] proposed a model to predict the strength and elastic modulus of heterogeneous sedimentary rocks using ANFIS. Zare [13] proposed a model for predicting groundwater fluctuations using ANFIS and wavelet-ANFIS.…”

Section: Introductionmentioning

confidence: 99%

Incremental Granular Model Improvement Using Particle Swarm Optimization

Yeom

Kwak

2019

Symmetry

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This paper proposes an incremental granular model (IGM) based on particle swarm optimization (PSO) algorithm. An IGM is a combination of linear regression (LR) and granular model (GM) where the global part calculates the error using LR. However, traditional CFCM clustering presents some problems because the number of clusters generated in each context is the same and a fixed value is used for fuzzification coefficient. In order to solve these problems, we optimize the number of clusters and their fuzzy numbers according to the characteristics of the data, and use natural imitative optimization PSO algorithm. We further evaluate the performance of the proposed method and the existing IGM by comparing the predicted performance using the Boston housing dataset. The Boston housing dataset contains housing price information in Boston, USA, and features 13 input variables and 1 output variable. As a result of the prediction, we can confirm that the proposed PSO-IGM shows better performance than the existing IGM.

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“…The estimation of ballast stiffness change during maintenance works be means of non-destructive seismic methods is proposed in (Sysyn, et al 2019b). The relation is used as the basic principle of the strength determination of sedimentary rocks with the measurement of its elastic properties (Umrao, et al, 2018). The data of P-wave velocity together with 45 datasets of other geomechanical properties are used to predict rocks strength with application of artificial neural network and fuzzy logic methods.…”

Section: Introductionmentioning

confidence: 99%

Stiffness and strength of structural layers from cohesionless material

Gerber

Sysyn

Zarour

et al. 2019

AoT

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The deformation modulus and permissible stress are two independent parameters that depict the carrying capacity of foundations, including earthworks and ballast layer. Nevertheless, while designing the track superstructure or controlling its state, they are considered separate to each other, even though they are terms of the same measure. The scientific problem is due to the practical necessity of unified building rules and standards. The carrying capacity of earthworks and foundations is regulated with standards based both on deformation and on stress criteria, which are not related to each other. This plays particularly important role for railway ballast layer, as an intermediate between the solids and soil. The objective of the present research is to estimate the relationship between deformation modulus and the strength of ballast layer. An overview of modern approaches according to the relation between the stiffness, deformation modulus, elasticity and strength of soils and crushed stone is done. The strength of ballast layer is considered depending on the experimental test: the direct shear test, compressive strength in the uniaxial or biaxial stress state. Load transfer model in crushed stone is proposed. The load transfer angle and cone of loading distribution are determined based on the load transfer and compressive strength models. The relation between deformation modulus and strength is derived from two simple laboratory experiments with cohesionless ballast material. The experiment tests have shown that the ballast stiffness as well as its strength are influenced with the support stress. The measurement of elastic and residual settlements for the different support stress values enables to determine the relation. It can be potentially used for the development of methods for the ballast compaction control, unification of construction norms. The research result should be considered as an approach for unification of two different ways to reflect the carrying capacity of ballast layer.

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Determination of strength and modulus of elasticity of heterogenous sedimentary rocks: An ANFIS predictive technique

Cited by 54 publications

References 32 publications

Assessing the uniaxial compressive strength and tangent Young’s modulus of basalt rock using the Leeb rebound hardness test

Assessing the uniaxial compressive strength and tangent Young’s modulus of basalt rock using the Leeb rebound hardness test

Incremental Granular Model Improvement Using Particle Swarm Optimization

Stiffness and strength of structural layers from cohesionless material

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