Prediction of Shear Modulus from Adaptive Neuro-fuzzy Inference System
Shear modulus (G) of soil is an important parameter in considering the effect of soil–structure interaction while analyzing the response of structure against earthquake motions. Cyclic tri-axial test gives best laboratory results for shear modulus. Howeve
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		    Madhavi Latha Gali Raghuveer Rao P.   Editors
 
 Geotechnical Characterization and Modelling Proceedings of IGC 2018
 
 Lecture Notes in Civil Engineering Volume 85
 
 Series Editors Marco di Prisco, Politecnico di Milano, Milano, Italy Sheng-Hong Chen, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, China Ioannis Vayas, Institute of Steel Structures, National Technical University of Athens, Athens, Greece Sanjay Kumar Shukla, School of Engineering, Edith Cowan University, Joondalup, WA, Australia Anuj Sharma, Iowa State University, Ames, IA, USA Nagesh Kumar, Department of Civil Engineering, Indian Institute of Science Bangalore, Bengaluru, Karnataka, India Chien Ming Wang, School of Civil Engineering, The University of Queensland, Brisbane, QLD, Australia
 
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 Madhavi Latha Gali Raghuveer Rao P. •
 
 Editors
 
 Geotechnical Characterization and Modelling Proceedings of IGC 2018
 
 123
 
 Editors Madhavi Latha Gali Department of Civil Engineering Indian Institute of Science Bengaluru, Karnataka, India
 
 Raghuveer Rao P. Department of Civil Engineering Indian Institute of Science Bengaluru, Karnataka, India
 
 ISSN 2366-2557 ISSN 2366-2565 (electronic) Lecture Notes in Civil Engineering ISBN 978-981-15-6085-9 ISBN 978-981-15-6086-6 (eBook) https://doi.org/10.1007/978-981-15-6086-6 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcas		
 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	 
	