Machine Learning-Driven Modeling and Optimization in Structural Engineering
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 59
Special Issue Editors
Interests: machine learning and hybrid AI models in engineering; fiber-reinforced materials; optimization algorithms
Interests: sustainable concrete materials; recycled aggregate concrete; machine learning in structural material
Special Issue Information
Dear Colleagues,
This Special Issue of Buildings, titled “Machine Learning-Driven Modeling and Optimization in Structural Engineering”, will focus on the in-depth integration of machine learning with structural engineering. It will center fundamental modeling of structural mechanics, leveraging machine learning to enhance analytical accuracy. To improve durability and predict carbonation effects, it will explore the application value of intelligent algorithms. With green and low carbon as core goals, it will tap into the potential of machine learning in CO2 emission reduction pathways. Additionally, it will address structural design and optimization as well as structural engineering reliability analysis, helping to boost engineering design efficiency and safety performance. Altogether, this Special Issue aims to synthesize interdisciplinary research outcomes and provide innovative solutions for the intelligent and low-carbon development of structural engineering.
Dr. Enming Li
Dr. Bin Xi
Dr. Chengkai Fan
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- mechanical properties
- durability
- green and low carbon
- carbonation
- structural design and optimization
- structural engineering reliability analysis
- CO2 emission reduction
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