TY - JOUR
T1 - Infill sampling design for tunnel rock classification
AU - You, K.
AU - Barnes, R. J.
PY - 1997
Y1 - 1997
N2 - Tunneling companies reduce their uncertainty in predicting the geologic conditions through further investigation, usually with a fixed predefined budget. In gathering information through further exploration, there are several alternatives for spending exploration dollars. Each alternative requires a different cost and yields a different type of information, each with a different degree of certainty. In tunneling projects, situations lacking direct measurements are often encountered due to economic constraints. Instead, an appreciable amount of qualitative data generally exist. A statistical method for classification of a rock mass and infill sampling design was developed based on the indicator kriging formalism, which is a non-parametric approach, and the cost of errors criterion developed for the binary classification by Aspie and Barnes. Math. Geol. 22, 915-932 (1990). For the multiple classification of a rock mass, the cost of error criterion was generalized and reformulated. As a case study, the application of this method is given with real tunnel data.
AB - Tunneling companies reduce their uncertainty in predicting the geologic conditions through further investigation, usually with a fixed predefined budget. In gathering information through further exploration, there are several alternatives for spending exploration dollars. Each alternative requires a different cost and yields a different type of information, each with a different degree of certainty. In tunneling projects, situations lacking direct measurements are often encountered due to economic constraints. Instead, an appreciable amount of qualitative data generally exist. A statistical method for classification of a rock mass and infill sampling design was developed based on the indicator kriging formalism, which is a non-parametric approach, and the cost of errors criterion developed for the binary classification by Aspie and Barnes. Math. Geol. 22, 915-932 (1990). For the multiple classification of a rock mass, the cost of error criterion was generalized and reformulated. As a case study, the application of this method is given with real tunnel data.
UR - http://www.scopus.com/inward/record.url?scp=0031080238&partnerID=8YFLogxK
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U2 - 10.1016/S0148-9062(96)00054-X
DO - 10.1016/S0148-9062(96)00054-X
M3 - Article
AN - SCOPUS:0031080238
SN - 0148-9062
VL - 34
SP - 207
EP - 215
JO - International journal of rock mechanics and mining sciences & geomechanics abstracts
JF - International journal of rock mechanics and mining sciences & geomechanics abstracts
IS - 2
ER -