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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

Experimental investigation on bamboo fibre reinforced mortar using artificial neural network – a comparative study

Prem Kumar V, Vasugi V

School of Civil Engineering, Vellore Institute of Technology, Chennai Campus, Tamil Nadu, India



Bamboo Fibre;

Bamboo Stem Ash;

Sustainable Building Material;

Taguchi’s Design of Experiment;

Artificial Neural Network

The increase in population promotes the construction industry to exploit the conventional building materials. This phenomenon leads to use of alternative building materials in the construction field. One of the effective natural materials is bamboo. In this paper, the Bamboo Fibre (BF) is used as an additive in the mortar at various percentages (1% to 4%) and Bamboo Stem Ash (BSA) is used as an alternative binder material to replace the cement at different proportions (2.5% to 10%). To increase the property of mortars, Styrene butadiene rubber (SBR) is used a super plasticizer from 0.5% to 2%. Due to high raising demand of river sand, Copper slag (CS) is used partially to replace the fine aggregate at constant percentage (50%) for all the mix proportion. W/B ratio is proportioned from 0.35 to 0.5 at different level. The design of experiment is conducted through Taguchi’s design and the experimental values are validated by Artificial Neural Network (ANN) tool for obtaining the predicted results with respect to dry density, water absorption, compressive strength and flexural strength. The experimental investigation proved that BF and BSA have a potential sign to be used as an alternative sustainable building material. From the comparative analysis of experimental results with ANN, it is revealed that the mortars show an acceptable prediction of physical and strength properties with a maximum error of 8.11%.

© 2022 MIM Research Group. All rights reserved.


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.

21/10/2023 Journal Submission System Upgrade Completed: We're delighted to announce that our Journal Submission and Tracking System has undergone a significant upgrade, aimed at enhancing your experience. We apologize for the delay, and any inconvenience it may have caused. Here are the key enhancements from a user perspective:

Improvements are designed to make your interaction with our journal smoother and more efficient. Please take the upgraded system for a spin and share your thoughts with us. If you encounter any issues or have questions, please don't hesitate to reach out to our support team.

27/12/2022 Reviewer AwardsThe winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 

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

For more see News...


2022 Reviewer Awards:

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

2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 

2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


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