Intelligent Optimization Algorithms and Computational Modeling in Civil and 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 July 2026 | Viewed by 931
Special Issue Editor
Interests: discrete element method (DEM); smart construction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As civil and structural engineering increasingly confronts complex challenges in sustainability, resilience and digitalization, the role of intelligent optimization algorithms and advanced computational modeling has become paramount. This Special Issue aims to capture the latest, cutting-edge research at this interdisciplinary frontier.
We welcome original research articles and reviews that explore innovative methodologies. This Special Issue invites contributions across several key pillars, including (but not limited to): intelligent optimization (e.g., metaheuristics, genetic algorithms), advanced computational modeling (e.g., finite element method, discrete element method), machine learning and data-driven approaches (e.g., deep learning, neural networks) and intelligent construction technologies (e.g., digital twins, automation).
A key focus of this issue is algorithmic development and methodological innovation within all these domains. We strongly encourage submissions that propose novel algorithms, advanced theoretical frameworks, new model-coupling techniques (e.g., physics-informed machine learning), computational efficiency improvements or new validation methods. We are equally interested in theoretical advancements in optimization and machine learning as we are in new constitutive models for FEM/DEM or novel data-fusion algorithms for intelligent construction.
Research areas may include (but are not limited to) structural optimization, construction management, seismic resilience, infrastructure health monitoring and life-cycle performance. This Special Issue seeks to bridge the gap between theoretical algorithmic development and practical engineering applications, fostering solutions for a truly intelligent and resilient built environment.
Prof. Dr. Rui Gao
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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
- intelligent optimization algorithms
- computational modeling
- finite element method (FEM)
- discrete element method (DEM)
- machine learning
- intelligent construction
- structural health monitoring
- civil and structural engineering
- digital twins
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