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A New Correlation to Predict Rock Mass Deformability Modulus Considering Loading Level of Dilatometer Tests
https://orcid.org/0000-0003-2471-9178
Abstract All numerical and analytical methods dealing with the calculating deformation of rock mass require deformation modulus ($ D_{f} $) which is measured by direct or estimated by indirect approaches. Direct methods such as plate loading, flat jack, and dilatometer test have been developed, but they are generally expensive, time-consuming, and sometimes questionable. Furthermore, $ D_{f} $ data is often limited and insufficient to estimate its statistics or not being available at all in many rock engineering projects. The empirical approach, as a practical tool, seems attractive and an alternative approach for $ D_{f} $ determination. This experimental study presents a new empirical correlation set for the $ D_{f} $ estimation based on 73 dilatometer tests, 27 laboratory tests, and related rock quality designation (RQD) which belonged to several dam/hydro-power projects. The statistical method and regression approach were used to analyze the data to develop a new correlation set in which about 70% of the database gathered for $ D_{f} $ equations development and the remaining data (30%) for its validation process. Data were used to developing of the new empirical equation set; generally belong to the fair to good quality rock masses. The input data for the $ D_{f} $ estimation consist of laboratory elasticity modulus ($ E_{l} $), RQD, and loading level factor ($${\text{B}}_{{\text{n}}}$$). The statistical analysis revealed that $ D_{f} $ has a significant dependence on the loading level factor. Also, $ E_{l} $ and in-situ elasticity modulus ($${\text{E}}_{{\text{f}}}$$) would have the best correlation if the laboratory specimen was achieved from the dilatometer test zone. The R-square ($$R^{2}$$ = 0.91) and the mean absolute relative prediction error (MARPE about 20%) verified the new correlation set. Finally, the estimated total deformation modulus from this paper’s relation set compared with the deformation modulus achieved from two existing empirical equations, and the main cause of differences was discussed.
A New Correlation to Predict Rock Mass Deformability Modulus Considering Loading Level of Dilatometer Tests
https://orcid.org/0000-0003-2471-9178
Abstract All numerical and analytical methods dealing with the calculating deformation of rock mass require deformation modulus ($ D_{f} $) which is measured by direct or estimated by indirect approaches. Direct methods such as plate loading, flat jack, and dilatometer test have been developed, but they are generally expensive, time-consuming, and sometimes questionable. Furthermore, $ D_{f} $ data is often limited and insufficient to estimate its statistics or not being available at all in many rock engineering projects. The empirical approach, as a practical tool, seems attractive and an alternative approach for $ D_{f} $ determination. This experimental study presents a new empirical correlation set for the $ D_{f} $ estimation based on 73 dilatometer tests, 27 laboratory tests, and related rock quality designation (RQD) which belonged to several dam/hydro-power projects. The statistical method and regression approach were used to analyze the data to develop a new correlation set in which about 70% of the database gathered for $ D_{f} $ equations development and the remaining data (30%) for its validation process. Data were used to developing of the new empirical equation set; generally belong to the fair to good quality rock masses. The input data for the $ D_{f} $ estimation consist of laboratory elasticity modulus ($ E_{l} $), RQD, and loading level factor ($${\text{B}}_{{\text{n}}}$$). The statistical analysis revealed that $ D_{f} $ has a significant dependence on the loading level factor. Also, $ E_{l} $ and in-situ elasticity modulus ($${\text{E}}_{{\text{f}}}$$) would have the best correlation if the laboratory specimen was achieved from the dilatometer test zone. The R-square ($$R^{2}$$ = 0.91) and the mean absolute relative prediction error (MARPE about 20%) verified the new correlation set. Finally, the estimated total deformation modulus from this paper’s relation set compared with the deformation modulus achieved from two existing empirical equations, and the main cause of differences was discussed.
A New Correlation to Predict Rock Mass Deformability Modulus Considering Loading Level of Dilatometer Tests
https://orcid.org/0000-0003-2471-9178
Abstract All numerical and analytical methods dealing with the calculating deformation of rock mass require deformation modulus ($ D_{f} $) which is measured by direct or estimated by indirect approaches. Direct methods such as plate loading, flat jack, and dilatometer test have been developed, but they are generally expensive, time-consuming, and sometimes questionable. Furthermore, $ D_{f} $ data is often limited and insufficient to estimate its statistics or not being available at all in many rock engineering projects. The empirical approach, as a practical tool, seems attractive and an alternative approach for $ D_{f} $ determination. This experimental study presents a new empirical correlation set for the $ D_{f} $ estimation based on 73 dilatometer tests, 27 laboratory tests, and related rock quality designation (RQD) which belonged to several dam/hydro-power projects. The statistical method and regression approach were used to analyze the data to develop a new correlation set in which about 70% of the database gathered for $ D_{f} $ equations development and the remaining data (30%) for its validation process. Data were used to developing of the new empirical equation set; generally belong to the fair to good quality rock masses. The input data for the $ D_{f} $ estimation consist of laboratory elasticity modulus ($ E_{l} $), RQD, and loading level factor ($${\text{B}}_{{\text{n}}}$$). The statistical analysis revealed that $ D_{f} $ has a significant dependence on the loading level factor. Also, $ E_{l} $ and in-situ elasticity modulus ($${\text{E}}_{{\text{f}}}$$) would have the best correlation if the laboratory specimen was achieved from the dilatometer test zone. The R-square ($$R^{2}$$ = 0.91) and the mean absolute relative prediction error (MARPE about 20%) verified the new correlation set. Finally, the estimated total deformation modulus from this paper’s relation set compared with the deformation modulus achieved from two existing empirical equations, and the main cause of differences was discussed.
A New Correlation to Predict Rock Mass Deformability Modulus Considering Loading Level of Dilatometer Tests
Shahverdiloo, Mohammad Reza (author) / Zare, Shokrollah (author)
2021
Article (Journal)
Electronic Resource
English
BKL:
57.00$jBergbau: Allgemeines
/
38.58
Geomechanik
/
57.00
Bergbau: Allgemeines
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
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