Anbar Journal of Engineering Science
Login
Anbar Journal of Engineering Sciences
  • Home
  • Articles & Issues
    • Latest Issue
    • All Issues
  • Authors
    • Submit Manuscript
    • Guide for Authors
    • Authorship
    • Article Processing Charges (APC)
  • Reviewers
    • Guide for Reviewers
    • Become a Reviewer
    • Reviewers of AJES
  • About
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Journal Insights
    • Peer Review Process
    • Publication Ethics
    • Plagiarism
    • Allegations of Misconduct
    • Appeals and Complaints
    • Corrections and Withdrawals
    • Open Access
    • Archiving Policy
    • Journal Funding Sources
    • Announcements
    • Contact

Search Results for Dilshad A. Mohammed

Article
Study of Multi-Cracked Cantilever Composite Beams Subjected to External Moving Load

Nazhad Ahmad Husseina, Sara Mohamad Ahmadb, Dilshad A. Mohammed

Pages: 27-34

PDF Full Text
Abstract

The behaviour of multiple cracked cantilever composite beams is studied when subjected to moving periodic force. In this investigation a new model of multiple cracked composite beams under periodic moving load is solved. Three cracks are considered at different position of the beam for numerical solution. The results from experimental work compared to numerical solution. The multiple cracks are identified easily from the deflection graphs at different force speed. Influences of crack depth at different load speed are investigated

1 - 1 of 1 items

Search Parameters

Journal Logo
Anbar Journal of Engineering Sciences

University of Anbar

  • Copyright Policy
  • Terms & Conditions
  • Privacy Policy
  • Accessibility
  • Cookie Settings
Licensing & Open Access

CC BY 4.0 Logo Licensed under CC-BY-4.0

This journal provides immediate open access to its content.

Editorial Manager Logo Elsevier Logo

Peer-review powered by Elsevier’s Editorial Manager®

       
Copyright © 2025 College of Engineering, University of Anbar. All rights reserved, including those for text and data mining, AI training, and similar technologies.