Binary classification method for efficient and accurate system reliability analyses of layered soil slopes

Volume: 16, Issue: 3, Pages: 435 - 451
Published: Dec 28, 2020
Abstract
To enhance the computational efficiency in slope reliability analyses, a binary classification method (BCM) that takes advantage of a judgement-based strength reduction method (SRM) and an active-learning support vector machine (SVM) was developed to conduct system reliability analyses of layered soil slopes. The SVM was naturally employed to establish a binary classifier via the judgment technique to approximate the true limit state function...
Paper Details
Title
Binary classification method for efficient and accurate system reliability analyses of layered soil slopes
Published Date
Dec 28, 2020
Volume
16
Issue
3
Pages
435 - 451
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