Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering |
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| Institution: | 1. Department of Civil Engineering, University of Gaziantep, 27310 Gaziantep, Turkey;2. Department of Geological Engineering, Hacettepe University, 06800 Beytepe, Ankara, Turkey;1. Department of Civil Engineering, Gaziantep University, Gaziantep, Turkey;2. Department of Civil Engineering, Dohuk Polytechnic University, Dohuk, Iraq;3. Department of Civil Engineering, Gelisim University, Istanbul, Turkey;1. Department of Electronics Engineering, Government Polytechnic, Jhajjar 124103, Haryana, India;2. Department of Electrical Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh 160019, India;3. Department of Electrical & Electronics Engineering, BRCM College of Engineering & Technology, Bahal 127028, Haryana, India.;1. Department of Mining Engineering, Imam Khomeini International University, Qazvin, 34149-16818, Iran;2. Civil Engineering Department, College of Engineering, University of Sulaimani, Kurdistan Region, 46001, Iraq;3. School of Mining and Geosciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan;4. Department of Urban Planning, Engineering Networks and Systems, Institute of Architecture and Construction, South Ural State University, Chelyabinsk, 454080, Russia;5. School of Engineering, Information Technology and Physical Sciences, Federation University Australia, Ballarat, 3350, Australia |
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| Abstract: | This paper presents a review of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in current use for geotechnical engineering-based studies, as well as some applications employed in resonant column testing, triaxial testing, and liquefaction triggering. Over the last few years, ANFIS has been used in many geotechnical engineering problems. A review of published literature reveals that ANFIS has been used successfully in footing response prediction, modeling of the friction angle of soils, tunnel stability analysis, estimating current-induced scour depth around pile groups, prediction of unconfined compressive strength, swelling potential of soils and permeability estimation. Some works have been selected to be described, as the others are acknowledged. The paper also presents ANFIS based models for coarse rotund sand–mica mixtures tested in triaxial and resonant column testing apparatuses and a modeling for liquefaction triggering. |
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