2021
DOI: 10.1139/cgj-2019-0596
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Degradation of crumb rubber modified railway ballast under impact loading considering aggregate gradation and rubber size

Abstract: Impact loads generated from the dynamic effect of passing trains can exacerbate the degradation level of ballast aggregate of railway track. To diminish the induced impact loads, the use of crumb rubber (CR) in the ballast course is characterized as a well-established procedure related to the modification of utilized material. Nonetheless, more in-depth assessments of size and percentage of CR particles combined with ballast aggregate are still required. The present study evaluates the influence of size and co… Show more

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Cited by 17 publications
(1 citation statement)
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“…RF is an ensemble method that uses a random subset of features (from a training set) to train multiple independent decision trees (bootstrap) and predict instance by majority voting of each tree outcome or the average. The model is easy to interpret, runs efficiently on large database, is fast to train and scalable, performs well in complex datasets, and is robust to irrelevant features [53][54][55]. However, it is sensitive to overfitting, which can then be regulated using the numbers of trees.…”
Section: Random Forestmentioning
confidence: 99%
“…RF is an ensemble method that uses a random subset of features (from a training set) to train multiple independent decision trees (bootstrap) and predict instance by majority voting of each tree outcome or the average. The model is easy to interpret, runs efficiently on large database, is fast to train and scalable, performs well in complex datasets, and is robust to irrelevant features [53][54][55]. However, it is sensitive to overfitting, which can then be regulated using the numbers of trees.…”
Section: Random Forestmentioning
confidence: 99%