Estimating maximum shear modulus (G0) using adaptive neuro-fuzzy inference system (ANFIS)

被引：7

作者：

Vatanshenas, Ali ^{[1
]}

Lansivaara, Tim Tapani ^{[1
]}

机构：

[1] Tampere Univ, Fac Built Environm, Korkeakoulunkatu 5, Tampere 33720, Finland

来源：

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING | 2022年 / 153卷

关键词：

Anfis; Fuzzy sets; Shear modulus; Soil dynamics; Very small strain; LOGIC; STIFFNESS;

D O I：

10.1016/j.soildyn.2021.107105

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

Realistic estimation of soil behavior is dependent on considering very small and small strain domains. Lengthy formulas proposed in the literature have limited predictive power for estimation of maximum shear modulus, G0. The aim of this study is to overcome this drawback. Theoretical aspects of fuzzy sets and adaptive neuro-fuzzy inference system (Anfis) are presented. Then, Anfis is implemented within a logical platform that adapts itself with available data to estimate and describe G0.

引用

页数：5

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