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

Ali Vatanshenas; Tim Länsivaara

doi:10.1016/j.soildyn.2021.107105

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

Ali Vatanshenas, Tim Länsivaara

Civil Engineering

Research output: Contribution to journal › Article › Scientific › peer-review

7 Citations (Scopus)

9 Downloads (Pure)

Abstract

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.

Original language	English
Article number	107105
Journal	Soil dynamics and earthquake engineering
Volume	153
Early online date	3 Dec 2021
DOIs	https://doi.org/10.1016/j.soildyn.2021.107105
Publication status	Published - Feb 2022
Publication type	A1 Journal article-refereed

Keywords

Anfis
Fuzzy sets
Shear modulus
Soil dynamics
Very small strain

Publication forum classification

Publication forum level 1

Access to Document

10.1016/j.soildyn.2021.107105Licence: CC BY

1-s2.0-S0267726121005273-mainFinal published version, 2.92 MBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202112078961Licence: CC BY

Cite this

@article{51dd035a5a0a45768baac5f53850a43f,

title = "Estimating maximum shear modulus (G0) using adaptive neuro-fuzzy inference system (ANFIS)",

abstract = "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. ",

keywords = "Anfis, Fuzzy sets, Shear modulus, Soil dynamics, Very small strain",

author = "Ali Vatanshenas and Tim L{\"a}nsivaara",

year = "2022",

month = feb,

doi = "10.1016/j.soildyn.2021.107105",

language = "English",

volume = "153",

journal = "Soil dynamics and earthquake engineering",

issn = "0267-7261",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Estimating maximum shear modulus (G0) using adaptive neuro-fuzzy inference system (ANFIS)

AU - Vatanshenas, Ali

AU - Länsivaara, Tim

PY - 2022/2

Y1 - 2022/2

N2 - 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.

AB - 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.

KW - Anfis

KW - Fuzzy sets

KW - Shear modulus

KW - Soil dynamics

KW - Very small strain

U2 - 10.1016/j.soildyn.2021.107105

DO - 10.1016/j.soildyn.2021.107105

M3 - Article

SN - 0267-7261

VL - 153

JO - Soil dynamics and earthquake engineering

JF - Soil dynamics and earthquake engineering

M1 - 107105

ER -

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

Abstract

Keywords

Publication forum classification

Access to Document

Fingerprint

Cite this