随机森林模型估算土工加筋土结构顶部条形基础抗震承载力的潜力

IF 2.4 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Ernesto Ausilio, Maria Giovanna Durante, Paolo Zimmaro
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引用次数: 0

摘要

土工合成加筋土结构通常用于支持各种基础设施系统的浅基础,包括桥梁,铁路和高速公路。当此类基础设施位于地震区时,其性能与基础的抗震承载力有关。可以使用各种方法来计算这个量,例如解析解和高级数值模型。基于一个健壮的上限分析,我们创建了一个包含732个样本的数据库。然后使用该数据库来训练和测试基于随机森林机器学习算法的模型。经过训练的随机森林模型被用来开发一个可供研究人员和从业人员随时使用的公开可用的web应用程序。该模型考虑了以下输入因素:(1)基础到边缘的距离与基础宽度的比值(D/B),(2)斜坡角(β),(3)水平地震烈度系数(kh),(4)土工合成物的无量纲因子,它决定了土工合成物的抗拉强度。利用本研究开发的模型,我们表明,预测位于土工合成加筋土结构顶部的条形基础的抗震承载力最重要的特征是D/B和kh。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Potential of Using Random Forest Models to Estimate the Seismic Bearing Capacity of Strip Footings Positioned on the Crest of Geosynthetic-Reinforced Soil Structures
Geosynthetic-reinforced soil structures are often used to support shallow foundations of various infrastructure systems including bridges, railways, and highways. When such infrastructures are located in seismic areas, their performance is linked to the seismic bearing capacity of the foundation. Various approaches can be used to calculate this quantity such as analytical solutions and advanced numerical models. Building upon a robust upper bound limit analysis, we created a database comprising 732 samples. The database was then used to train and test a model based on a random forest machine learning algorithm. The trained random forest model was used to develop a publicly available web application that can be readily used by researchers and practitioners. The model considers the following input factors: (1) the ratio of the distance of the foundation from the edge and the width of the foundation (D/B), (2) the slope angle (β), (3) the horizontal seismic intensity coefficient (kh), and (4) the dimensionless geosynthetic factor, which accounts for the tensile strength of the geosynthetic. Leveraging the model developed in this study, we show that the most important features to predict the seismic bearing capacity of strip footings positioned on the crest of geosynthetic-reinforced soil structures are D/B and kh.
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来源期刊
Geosciences (Switzerland)
Geosciences (Switzerland) Earth and Planetary Sciences-Earth and Planetary Sciences (all)
CiteScore
5.30
自引率
7.40%
发文量
395
审稿时长
11 weeks
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