NDLI: BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations

Content Provider	IEEE Xplore Digital Library
Author	Malladi, S.V.V.N. Kumar, D.
Copyright Year	2012
Description	Author affiliation: Department of Mining Engineering, Indian School of Mines, Dhanbad, INDIA-826004 (Kumar, D.) \|\| Department of Mechanical Engineering & Mining Machinery Engineering, Indian School of Mines, Dhanbad, INDIA-826004 (Malladi, S.V.V.N.)
Abstract	Analysis of stability (mainly bearing strength and settlement) under a footing on regularly bedded, jointed and layered model rock mass is conducted using Back Propagating Neural Network (BPNN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS). The inputs required for the modeling were imported from the laboratory results of the measurements carried out earlier [1]. Rock mass were modeled as elastic-plastic with Drucker- Prager failure criteria for plane strain condition. The results of the footing settlements and bearing strengths derived from BPNN and ANFIS models were compared with the footing settlements corresponding to the maximum applied bearing pressure on floor strata (for different sizes of footing plates and also under varying anisotropy conditions of floor strata) as obtained from the experimental results and FEM investigations and the bearing strengths obtained from the laboratory investigations. It is deduced that ANFIS model predicts accurately well vis-à-vis experimental results though the results predicted from BPNN model compares well with those of FEM analysis.
Starting Page	398
Ending Page	403
File Size	110678
Page Count	6
File Format	PDF
ISBN	9781457706943
e-ISBN	9781457706974
DOI	10.1109/RAIT.2012.6194453
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Neuro Fuzzy Analytical models Settlement ANN Artificial neural networks Predictive models Soil Rocks ANFIS Finite element methods Bearing strength
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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