IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Efficient Method for Identification of Cracks in Beams Using Fuzzy With Neural Network
Authors Name: D.Pitchaiah , CH.Ramesh , B.Suvarna Raju
Download E-Certificate: Download
Author Reg. ID:
IJNRD_208737
Published Paper Id: IJNRD2310415
Published In: Volume 8 Issue 11, November-2023
DOI:
Abstract: Structures like beams failure can be avoided by identifying the damage in the structure at its beginning and proper retrofitting. Recently, the researchers created a structure to recognize crack damage in beams in view of a cracked beam componentmodel, it originates from thefracture mechanicsand local flexibility rules. The present work exhibits the simulation analysis of cracked beam with machine learning model to assess the stiffness of the structure. Here Fuzzy Optimal Neural Network (FONN) is considered, in addition, the stiffness reduction technique, especially concerning thick beams, is featured in addition with a survey of other crack models. The extricated modal data are utilized to conversely recognize the cracks with the cracked beam component model through a model updating technique. The optimal NN based stiffness computation utilizes a global searching procedure utilizing Adaptive Elephant Herding Optimization (AEHO) the number of cracks identified from various beams. From the proposed model, the attained results are compared with the current research paper and other optimization, machine learning models.
Keywords: Keywords: Cracked beam, Damage Identification, Neural Network, optimization and stiffness
Cite Article: "Efficient Method for Identification of Cracks in Beams Using Fuzzy With Neural Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.e110-e119, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2310415.pdf
Downloads: 000118755
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2310415
Registration ID: 208737
Published In: Volume 8 Issue 11, November-2023
DOI (Digital Object Identifier):
Page No: e110-e119
Country: prakasam, andhra pradesh, India
Research Area: Mechanical Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310415
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310415
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD