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- W590822417 abstract "This paper presents a statistical study to use road condition variables and other technical variables from the Road Data Bank to estimate road bearing capacity. This study was motivated by the need to evaluate the bearing capacity distribution without using slow and expensive deflection measurements. Three data sets were analysed, two of which were from roads in the Lappi district of Finland and the third of which was from Shandong Province, China. A stepwise discriminant analysis was used to select the best set of quantitative variables for a discriminant model; the set of exploratory observations classified about 40% to 50% of the observations into the right classes. For further usage of the results, posterior classification probabilities can be calculated from the discriminant function. The results of this study are encouraging, despite the rather high misclassification rate of the observations. In many cases, it seems that the required number of bearing capacity measurements can be reduced and the measuring effort can be concentrated on the most important sections of the road network. Several problems need further research; especially the evaluation of the number of variables needed in the dataset for convenient use of the results. (TRRL)" @default.
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- W590822417 date "1990-01-01" @default.
- W590822417 modified "2023-09-23" @default.
- W590822417 title "ESTIMATION OF ROAD BEARING CAPACITY WITH OTHER AUTOMATICALLY MEASURED CONDITION VARIABLES . THIRD INTERNATIONAL CONFERENCE ON BEARING CAPACITY OF ROADS AND AIRFIELDS. PROCEEDINGS, NORWEGIAN INSTITUTE OF TECHNOLOGY, TRONDHEIM, NORWAY, JULY 3-5 1990. VOLUMES 1-2" @default.
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