Ferdowsi Civil Engineering

Number of Volumes	18
Number of Issues	52
Number of Articles	392
Article View	1,204,566
Number of Submissions	1,730
Rejected Submissions	1,154
Reject Rate	67
Accepted Submissions	411
Time to Accept (Days)	147
Number of Reviewers	1183

in 2009, the Ferdowsi Civil Engineering began to publish articles twice a year in one volume. Due to increased paper submissions, the editorial board of the journal decided to promote the journal by publishing the issues, quarterly. Authors are to be informed about the publication of their papers up to six months after submission. Papers can now be sent through the journal’s portal

All published articles are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Under this license, authors are free to share, copy and redistribute papers in any medium or format. They can also adapt, remix, transform, and build upon papers for any purpose, even commercially. It is worth mentioning that the full text of all content is available for free and open access immediately on the journal’s website.

This Journal a member of Committee on Publication Ethics (COPE) and the ethical policy of the journal endorses the COPE guidelines for publication ethics. All submitted manuscripts are checked for similarity through Hamyab.

Last site Update: 23 August 2025

Most Visited Articles

Study on the Features of Critical Arch in Granular Materials by the Developed Trapdoor Apparatus

Effect(s) of Concrete Strength and its Bond to CFRP sheets on the Ultimate Strength of Concrete Beams

Developing a Model for the Effect of Temperature and Thickness of Asphalt Mixture on Fracture Toughness under Pure Mode I

Investigation of Barriers and Problems Effecting the Standardization of Industrial Construction Materials of Lorestan Province (with Emphasis on Concrete and Concrete’s Aggregates)

Microstructure Evaluation of Thermal Stabilization Marls Case Study: Marl West Bandar Abbas

The Effect of Bagasse Ash and Polypropylene Fibers on the Mechanical Performance of Concrete and Its Prediction Using Machine Learning

Evaluation of the seismic performance of existing high-rise buildings with a special reinforced concrete core-frame system according to TBI2017 seismic criteria under long-period earthquake records (case study of a 35-story tower)