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Bulletin of Engineering Geology and the Environment

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23.06.2018 | Original Paper

Predicting the Young’s Modulus of granites using the Bayesian model selection approach

verfasst von: Lingqiang Yang, Xianda Feng, Yang Sun

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 5/2019

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Abstract

The value of Young’s modulus (E) is critical to the design of geotechnical engineering projects. Although E can be directly measured by laboratory tests, high-quality core samples and expensive sophisticated instruments are required. Therefore, a method for the indirect estimation of E is an appealing possibility. This study develops a model for predicting the E of intact granite based on the Bayesian model class selection approach. An experimental database of granite rock properties that includes the value E, point load strength index (I_s50), L-type Schmidt hammer rebound number (R_L), P-wave velocity (V_p), porosity (η), and uniaxial compressive strength, is applied to develop the most suitable model. The proposed model is then compared to existing approaches. The results indicate that the proposed models provide satisfactory predictions and good practicality in application.

Vorheriger Artikel Effect of joint type on the shear behavior of synthetic rock

Nächster Artikel Analysis of Schmidt hammer rebound test results with repetitive impacts for determining the mechanical characteristics of weathered pyroclastic rock surfaces: a case study along the Isotake coast, Japan

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Titel: Predicting the Young’s Modulus of granites using the Bayesian model selection approach
verfasst von: Lingqiang Yang
Xianda Feng
Yang Sun
Publikationsdatum: 23.06.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Bulletin of Engineering Geology and the Environment / Ausgabe 5/2019
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI: https://doi.org/10.1007/s10064-018-1326-2

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