RESM

    

Submission & tracking

For submitting new manuscripts or tracking the existing ones, login or register to the Submission Tracking System.


LOGIN / REGISTER

Upcoming events

PARTNERS




Special issue

Special Issue Proposals:

The journal of RESM is open to proposals for special issues on emerging related topics. More info is here.

Research Article

Predicting strength of concrete by ensemble technique

Monali Kirangea1Lomesh Mahajan2

1Department of Computer Engineering, RCPET’s IMRD, Shirpur, 425405, India

2Department of Civil Engineering, R. C. Patel Institute of Technology, Shirpur, Affilated to Dr. Babasaheb Ambedkar Technological University, Lonere, India

Keywords

Abstract






Compressive strength;


Cement;


Concrete;


Ensemble technique;


Decision tree

The developing countries share similar attributes at all the regions. Still 43% of urban population did not escape from slums live hoods. As many developing countries focuses on the infrastructural development and try to improve people living standards. This infrastructural built-up activity consumes lots of concrete and other construction materials. These construction materials possess different properties from place to place. Cementitious composites undergo transformations in their fundamental properties due to regional variations in environmental conditions. Therefore, their mechanical strength computing tools plays crucial role. When topic touches with concrete, one of the most important characteristics is the compressive strength. Predicting the strength of concrete has traditionally been done with using mechanical means, but in recent years few soft computing methods have become important tools. In this research, we apply two methods to compute the Compressive strength of fly ash concrete based on the results of our own experimental findings. To anticipate concrete strength., this study investigated the properties of all the materials involved. The ensemble methodology and the decision tree were two of the success-forecasting methodologies that were investigated, and comparative assessments were made on them. The R2 value for the ensemble methodology was determined to be 0.96, which was much higher than the DT method's 0.76. In addition to k-fold Cross Validation, the findings of the trials are further supported by assessments of root mean square error (RMSE) and root mean error (RME). Ensemble approaches are good for minimizing model variance, improving prediction accuracy. Combining many models to make a single forecast from all their potential predictions eliminates variation.

© 2023 MIM Research Group. All rights reserved.

LATEST News

20/04/2024 Collaboration for HSTD-2024Editorial Board of our journal and Organizing Committee of the III. International Conference on High-Speed Transport Development (HSTD) have agreed to collaborate. Extended versions of the selected papers from the conference will be published in our journal. For more see Events.

20/04/2024 Collaboration for DSL2024-SS1Editorial Board of our journal and Organizing Committee of the DSL2024 Fluid Flow, Energy Transfer & Design (SS1) have agreed to collaborate. Extended versions of the selected papers from the session will be published in our journal. For more see Events. .


8/12/2023 Special Issue: Embark on a journey of innovation with the journal of Research on Engineering Structures and Materials as we unveil a compelling opportunity for contributors in our upcoming special issue, "Design, Analysis, and Manufacturing of Composite Vehicle Structures." Led by distinguished Guest Editors Liubov Gavva and Oleg Mitrofanov from Moscow Aviation Institute. For more info see the link.



(More details of the news may be given in the News section)


For more see News...

LATEST AWARDS


2023 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.



2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


abstractıng/ındexıng

  • Asos Indeks
  • CiteFactor
  • Cosmos
  • CrossRef
  • Directory of Research Journal Indexing
  • Engineering Journals (ProQuest)
  • EZB Electronic Journal Library
  • Global Impact Factor
  • Google Scholar
  • InfoBase Index
  • International Institute of Organized Research (I2OR)
  • International Scientific Indexing (ISI)
  • Materials Science & Engineering Database (ProQuest)
  • Open Academic Journals Index
  • Publication Forum
  • Research BibleScientific Indexing Service
  • Root Indexing
  • Scopus
  • Ulakbim TR Index (Tubitak)
  • Universal Impact Factor
  • Scope Database




MIM RESEARCH GROUP

©2014. All rights reserved


Contact :

For publication issues

jresm@jresm.net

editor.jresm@gmail.com


For administrative issues:

mim@mimrg.net


Postal Address:

Kemal Öz Mah. 3. Bilgi Sok., 4A, No:13 Usak/Turkey



Last update

of this page:


15.06.2024

(dd.mm.yyyy)


Go to main page for last version