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
收藏
页数：5
相关论文
共 50 条
  • [21] Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering
    Cabalar, Ali Firat
    Cevik, Abdulkadir
    Gokceoglu, Candan
    COMPUTERS AND GEOTECHNICS, 2012, 40 : 14 - 33
  • [22] PREDICTION OF BIOMASS PELLET DENSITY USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM(ANFIS) METHOD
    Liu, Juan
    Yan, Zhuoyu
    Xu, Mingze
    Liu, Yudi
    Bai, Xuewei
    Xiu, Yonghai
    Wei, Desheng
    INMATEH-AGRICULTURAL ENGINEERING, 2023, 70 (02): : 181 - 190
  • [23] Modeling of dielectric behavior of polymers nanocomposites using adaptive neuro-fuzzy inference system (ANFIS)
    Mohamed, R. A.
    EUROPEAN PHYSICAL JOURNAL PLUS, 2022, 137 (03):
  • [24] Modeling of dielectric behavior of polymers nanocomposites using adaptive neuro-fuzzy inference system (ANFIS)
    R. A. Mohamed
    The European Physical Journal Plus, 137
  • [25] Dynamic characterization of flexible vibrating structures using adaptive neuro-fuzzy inference system (ANFIS)
    Ismail, A. Y.
    Ismail, R.
    Darus, I. Z. Mat
    2006 4TH STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT, 2006, : 155 - +
  • [26] Predicting bending rigidity of woven fabrics using adaptive neuro-fuzzy inference system (ANFIS)
    Behera, B. K.
    Guruprasad, R.
    JOURNAL OF THE TEXTILE INSTITUTE, 2012, 103 (11) : 1205 - 1212
  • [27] Optimation of AMC's Tensile Properties Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
    Seputra, Yulius Eka Agung
    Soegijono, Bambang
    INTERNATIONAL CONFERENCE ON CONDENSED MATTERS AND ADVANCED MATERIALS (IC2MAM 2018), 2019, 515
  • [28] Optimal Attitude Control of a Quadrotor UAV Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
    Rezazadeh, Sina
    Ardestani, Maike Alinaghizadeh
    Sadeghi, Parichehr Shahidi
    2013 3RD INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, AND AUTOMATION (ICCIA), 2013, : 219 - 223
  • [29] Online critical clearing time estimation using an adaptive neuro-fuzzy inference system (ANFIS)
    Phootrakornchai, Witsawa
    Jiriwibhakorn, Somchat
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 73 : 170 - 181
  • [30] Performance prediction of a hybrid microgeneration system using Adaptive Neuro-Fuzzy Inference System (ANFIS) technique
    Yang, L.
    Entchev, E.
    APPLIED ENERGY, 2014, 134 : 197 - 203
12345