Including Computing Systems in Engineering

The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.

The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability

The journal publishes research papers, survey papers on key application areas, short communications and technical notes, discussions, software reviews and book reviews. A conference calendar is also included – entries welcome.

Related conferences are listed under 'Related publications'.

Special Issue on CIVIL-COMP 2025 ADES
截稿日期: 2026-02-22

This special issue of Computers and Structures includes papers presented at the Civil-Comp Conferences in held in Cagliari, Sardinia, Italy from 27th to 29th August 2025. The papers are specially extended and reviewed versions of papers presented at the conferences.

Contributions to the special issue were by invitation only.

Guest editors:

Prof. Barry H.V. Topping
Affiliation: University of Pécs, Pécs, Hungary/ Heriot-Watt University, Edinburgh, Scotland
Areas of expertise: Parallel Computing, Artificial Intelligence, Optimization, Re-Analysis
Prof. Peter Iványi
Affiliation: University of Pécs, Pécs, Hungary
Areas of expertise: Distributed Computing, Finite Elements, Fluid-Structure Interaction
Prof. Jaroslav Kruis
Affiliation: Czech Technical University in Prague, Prague, Czech Republic
Areas of expertise: Computational Mechanics, Hydro-Mechanics, Bentonite Modelling

Manuscript submission information:

    Guest Editor Invitation Only
    Open for Submission: from 22-Dec-2025 to 22-Feb-2026
    Submission Site: Editorial Manager®
    Article Type Name: "VSI: ADES_CIVIL-COMP 2025" - please select this item when you submit manuscripts online

All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.
For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor Prof. Barry H.V. Topping.
Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Advances in Engineering Software
For more information about our Journal, please visit our ScienceDirect Page: Advances in Engineering Software

Keywords:

    Civil-Comp
    Computational Mechanics
    Civil
    Structural and Mechanical Engineering

Special Issue on Building Tomorrow: Transforming Structural Engineering with AI and Sustainable Practices
截稿日期: 2026-05-01

The future of structural engineering is here—and it is powered by Artificial Intelligence (AI), highlighting the transformative potential of Machine Learning (ML) and Deep Learning (DL) techniques in shaping the design and construction of tomorrow’s buildings. These transformative technologies are redefining how we design, analyze, and construct the built environment, enabling smarter, safer, and more sustainable structures. Recent advances in computational power, algorithmic development, and data availability have fueled a new wave of innovation in structural engineering. AI-driven methods are unlocking unprecedented opportunities in performance optimization, material efficiency, safety enhancement, and life-cycle sustainability. As AI libraries, simulation tools, and open datasets continue to expand, the integration of intelligent technologies is reshaping not only how we build, but how we envision the future of construction—adaptive, data-informed, and environmentally responsible. This Special Issue, “Building Tomorrow: Transforming Structural Engineering with AI and Sustainable Practices”, aims to showcase the latest research and developments that merge AI with sustainability principles to address complex structural challenges in the field of building design and construction. We invite original contributions exploring computational frameworks, predictive models, and AI-powered optimization strategies that embed environmental and socio-economic performance indicators into intelligent design processes. Of particular interest are studies that apply advanced AI methods—such as refined Deep and Machine Learning techniques, Data-driven generative design and AI-powered optimization algorithms—aiming to promote the creation of resilient and low-carbon buildings through multi-criteria decision-making processes. 

The Special Issue welcomes research and case studies in areas including, but not limited to: 

    AI-driven structural optimization (size, shape, and topology) applied to the building sector 
    Generative, parametric, and automatic design approaches for single and multi-objective engineering problems 
    Data-driven models for structural analysis and performance prediction through accurate surrogate models and Neural networks
    Enhanced version of well-known metaheuristic algorithms (Evolutionary, Physics-based, Swarm-based and Bio or Nature-inspired) and Hybrid optimization process empowered by ML techniques (Supervised, Unsupervised and reinforcement learning) devoted to improve computation cost and accuracy performance of complex engineering problems
    Integration of LCA and LCC within AI-based frameworks 
    Eco-design and circular construction through recycling and reusing 
    Optimization processes applied to Intelligent metamaterials, porous and lattice structures
    AI-supported modular, adaptive, and energy-efficient structural systems
    Automation and intelligent decision-support tools for sustainable design

Guest editors:

Prof. Raffaele Cucuzza
Politecnico di Torino, Turin, Italy
Prof. Konstantinos Daniel Tsavdaridis
City St George’s, University of London, London, United Kingdom
Prof. Majid Movahedi Rad
Széchenyi István University, Gyor, Hungary
Assistant Professor. Erica Lenticchia
Politecnico di Torino, Turin, Italy
Prof. Kang Gao
Southeast University, Nanjing, China
Prof. Giuseppe Carlo Marano
Politecnico di Torino, Turin, Italy

Manuscript submission information:

    Open for Submission: from 01-Dec-2025 to 01-May-2026
    Submission Site: Editorial Manager®
    Article Type Name: "VSI: ADES_Building Tomorrow" - please select this item when you submit manuscripts online

All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.
For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor (Prof. Raffaele Cucuzza). 
Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Advances in Engineering Software
For more information about our Journal, please visit our ScienceDirect Page: Advances in Engineering Software

Keywords:

    Structural Optimization; 
    Artificial Intelligence (AI); 
    Modular Structures; 
    Life-Cycle Assessment (LCA)
    Reusing
    Recycling
    Metamaterials