Civil-Comp Logo
Civil-Comp Press
Computational, Engineering & Technology Conferences
1983-2018: 40 Years of Civil-Comp Conferences
Conference papers
available from
Supporting Elsevier
ECT 2024
The Twelfth International Conference on Engineering Computational Technology

4-6 September 2024
Prague, Czech Republic

Call for Papers closes: 3rd May


This is the twelfth conference in the Engineering Computational Technology (ECT) series that commenced in 1998. The conference is concerned with the application of the latest computational technology to all aspects of engineering. Computational technology encompasses both the latest hardware and software developments as well as algorithmic and theoretical developments. Contributors to this conference series have included engineers, mathematicians and scientists.

The conference is concerned with both theoretical, mathematical and scientific developments as well as applications of established technology to new domains.

Previous venues for the conference have included: Edinburgh, Prague, Leuven, Lisbon, Gran Canaria, Athens, Valencia, Dubrovnik, Naples, Sitges and Montpelier.

The conference runs concurrently with the Fifteenth International Conference on Computational Structures Technology (CST 2024). Participants may attend sessions from either the CST2022 or ECT2022 conference.

Papers presented at the ECT 2022 Conference can be found here on:

Major Conference Themes
The themes for this conference will include but are not limited to:

  • Computational Methods
  • Computational Techniques
  • Engineering Modelling, Simulation including Pre- and Post-Processing
  • Engineering Design, Optimisation and Manufacture
  • Engineering Modelling, Information Systems, Management and Decision Making
  • Engineering Applications of Computational Technology
  • Software Development and Maintenance for Engineering Applications
  • Computational Engineering: Education and Training

Stream 1: Computational Methods for:

  • Computational Fluid Dynamics
  • Computational Geomechanics
  • Computational Geo-Environmental Mechanics
  • Computational Biomechanics
  • Computer Modelling and Simulation
  • Rock Mechanics
  • Multi-Phase Problems
  • Multi-Physics Problems
  • Soil-Structure Interaction
  • Fluid-Structure Interaction
  • Biomechanical Engineering
  • Micro-Electro-Mechanical Systems
  • Stochastic Mechanics
  • Fluid Transport Simulation and Modelling
  • Flow Simulation and Modelling
  • Computational Inertia Microfluidics
  • Telematics, Tele-maintenance, Tele-diagnosis
  • Inverse Problems
  • Thermal Problems
  • Automotive Applications
  • Crash, Impact and Contact: Analysis and Simulation
  • Geotechnical Problems
  • Soil-Structure Interaction
  • Multi-Scale Problems
  • Nanomechanics
  • Micromechanics
  • Mechanics of Granular Materials
  • Porous Media
  • Process Simulation
  • Wave Propagation
  • Environmental Engineering
  • Design and Manufacture
  • Materials Processing
  • Micro- and Nano- Scale Problems
  • Multibody Dynamics
  • Geophysics
  • Acoustics
  • Energy Systems
  • Renewable Energy Systems
  • Active and Passive Control
  • Heat Transfer Problems
  • Failure and Instability Modelling
  • Computational Sustainability and Environmental Engineering
  • Uncertainty Quantification
  • Data Assimilation

Stream 2: Computational Techniques including:

  • Data Mining
  • Evolutionary Algorithms
  • Evolutionary Processes
  • Computational Methods deriving their inspiration from Nature
  • Soft Computing Methods
  • Particle Methods
  • Meshless Methods
  • Genetic Algorithms and Neural Networks
  • Numerical and Computational Linear Algebra
  • Mathematical Modelling
  • Multi-Scale Modelling
  • Finite and Boundary Element Method
  • Adaptive Procedures
  • Probabilistic Methods
  • Multiscale modelling

Stream 3: Engineering Modelling, Simulation including Pre- and Post-Processing

  • Domain Decomposition and Partitioning
  • Geometric Modelling
  • Mesh and Grid Generation
  • Model Verification
  • Pre- and Post- Processing
  • Quantification of Uncertainty in Simulations
  • Virtual Reality

Stream 4: Engineering Design, Optimization and Manufacture

  • Computer Aided Design & Computer Aided Engineering
  • Computer Aided Manufacture
  • CAD/CAM Rapid Prototyping
  • Optimal Design
  • Optimization and Sensitivity Analysis
  • Additive Manufacturing
  • Swarm Intelligence Techniques
  • Machine Learning Algorithms
  • Surrogate Modelling
  • Reduced order methods
  • Adjoint methods
  • Methods for Optimal Control

Stream 5: Engineering Modelling, Information Systems, Management and Decision Making including:

  • Decision Making in Engineering Management
  • Construction Management and Control
  • Information Systems
  • Communications
  • Project Management Agent-Based Models

Stream 6: Engineering Applications of Computational Technology including:

  • Computational Intelligence
  • Embedded High Performance Computing
  • Hardware and Software Developments for HPC
  • Virtual Reality and Virtual Environments
  • Virtual Prototyping
  • Visualisation and Graphics
  • Computational Steering
  • Parallel, Distributed and Cloud Processing
  • Use of High Performance Computer Architectures
  • Supercomputing
  • Distributed Computing and Networking
  • Artificial Intelligence and Knowledge-Based Systems
  • Machine Learning
  • Virtual Environments
  • Virtual Humans
  • Data Mining

Stream 7: Software Development and Maintenance for Engineering Applications including:

  • Software Standards and Quality Control
  • Verification and Validation
  • Grid Computing
  • Object Oriented Methods
  • Solution Procedures for Large Scale Problems
  • Novel Software Tools and Development Environments
  • Algorithms for Vectorization and Parallelisation
  • Software Reliability
  • Digital Twins

Stream 8: Computational Engineering: Education and Training

  • Course Development
  • On-line Training Systems
Conference Proceedings, DOIs and Archiving
All papers presented at the ECT 2024 Conference will be archived here: CTResources is a member of Crossref. Each paper will be assigned a DOI with Crossref. The volume for ECT 2024 will be allocated an ISSN.
Journal Special Issues
Author of papers presented at the CST2024 and ECT2024 will eligible to submit a full length journal paper for eith the "Computers and Structures" (Elsevier) or "Advances in Engineering Software" (Elsevier). Details will be available at the Conferences.
Special Sessions
The list of special sessions is being assembled. Over the coming months the list of special sessions will gradually grow.

Journal Special Issues
Author of papers presented at the CST2024 and ECT2024 will eligible to submit a full length journal paper for eith the "Computers and Structures" (Elsevier) or "Advances in Engineering Software" (Elsevier). Details will be available at the Conferences.
Special Sessions
A number of special sessions will be organised at this Conference. If you wish to participate in a special session please indicate this when you submit your paper. Over the coming months the list of special sessions will gradually grow.

The current list of special sessions includes:

  • ECT-S1: Vehicle Scanning Method for Bridges
    organised by:
    Professor Judy Yang, National Yang Ming Chiao Tung University, Taiwan
    Professor J.D. Yau, Tamkang University, Taiwan
    Professor S. Urushdaze, Institute of Theoretical and Applied Mechanics, CAS, Czech Republic
    Dr D.S. Yang, Monash University, Australia

    The idea of extracting bridge frequencies from the dynamic response of a moving test vehicle was proposed in 2004. It was referred to as the indirect method for bridge measurement, in that no vibration sensors need to be mounted on the bridge, but only few vibration sensors are required on a test vehicle. Compared with the direct method that relies fully on the response of the bridge fitted with vibration sensors, the advantage of the indirect method is obvious: mobility, economy, and efficiency. Over the past years, a rapidly growing number of research has been conducted along the lines of the indirect method for bridge measurement, with significant advances made on various aspects of application. In this minisymposium, we shall invite all the experts to present their state-of-the-art research along the lines of the subject, and to exchange the ideas for enhancing the technique of indirect approach for modal identification and damage detection of bridges using the moving vehicles.

  • ECT-S2: Advances in Structural and Multidisciplinary Optimization
    organised by:
    Professor J.F.A. Madeira, IDMEC/IST/UL and ADM/ISEL/IPL, Libson, Portugal
    Professor A.L. Araujo, IDMEC/IST/UL, Lisbon, Portugal

    The purpose of this session is to bring together researchers who successfully develop techniques for solving structural and multidisciplinary optimization problems, focusing on both single and multi- objective problems. We encourage new research into all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems.

    This special session aims to provide a forum for researchers from theoretical developments for single or multi-objective optimization as well as their application for solving real engineering problems. Submissions presenting novel developments or critical reviews are welcome.

    Contributions are invited on the following topics:
    ★ Application of structural optimization in nanotechnology
    ★ Application of structural optimization in computational design of materials
    ★ Application of structural optimization for the design of mechanisms
    ★ Application of structural optimization with peridynamics
    ★ Optimization of composite and smart structures
    ★ Sampling and surrogate modeling in design optimization
    ★ Numerical optimization techniques
    ★ Experimental optimization techniques
    ★ Shape and topology optimization
    ★ Surrogate-based optimization
    ★ Multidisciplinary optimization
    ★ Multi-objective optimization
    ★ Robust and reliability-based design optimization

  • ECT-S3: Structural Response to Dynamic Loadings: modelling, analysis and mitigation
    organised by:
    Dr Pierfrancesco Cacciola1, Professor Bruno Brisegella2 and Professor Alessandro Contento2
    1School of Architecture, Technology and Engineering, University of Brighton, United Kingdom
    2Fuzhou University, China

    Dynamic loadings inducing structural vibrations pose a challenge to researchers and practitioners in various branch of engineering. Unpredicted vibrations can deteriorate or ultimately even lead to the failure of structural components or the collapse of entire structures. In this regard, it is imperative to model input and structures accounting for inherent uncertainties and/or nonlinearities for the reliable assessment of the structural integrity and the evaluation of the probability of failure. On the other hand, the detailed modelling still presents computational challenges hindering the accuracy of the structural analysis and the reliability of the mitigation strategies. Aim of the special session is to bring together expertise from different disciplines and to share approaches and novel developments in the wide field of structural dynamics. Contributions addressing modelling, analysis or mitigation of structural vibrations are particularly welcomed.

  • ECT-S4: Artificial Intelligence and Machine Learning in Multidisciplinary Design
    organised by:
    Professor Prabhat Hajela Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, United States of America

    Multidisciplinary Design Optimization (MDO) provides a holistic and efficient approach to optimizing systems characterized by a complex interplay among various disciplines. These approaches not only produce optimized designs with enhanced performance, but also streamline the design process and reduce overall development time. Given the dimensionality and complexity of the design spaces, however, there is a significant computational cost associated with the approach. Artificial Intelligence (AI) and Machine Learning (ML) techniques have received recent attention and are increasingly integrated in MDO. These techniques have been used to better understand the complexity of the design space, to develop enhanced optimization capabilities, and to reduce the overall computational effort required in the design process. The conference invites original papers focused on the role of AI and ML in the formulation and solution to MDO problems. Areas of interest include: development of surrogate models to reduce computational costs, multi-fidelity prediction models and their intelligent use in the design process, the use of AI and ML techniques for uncertainty quantification and efficient approaches to reliability-based design, application of deep-learning in topology optimization, and data-driven design optimization, including AI assisted autonomous optimization. Papers in other related topics are also welcome.

  • ECT-S5: Uncertainty Propagation and Risk Assessment of Stochastic Dynamic Systems
    organised by:
    Dr Ioannis P. Mitseas1,2, Professor Michael Beer3,4,5 and Dr Peng Yuan3
    1School of Civil Engineering, University of Leeds, United Kingdom
    2School of Civil Engineering, National Technical University of Athens, Greece
    3Institute for Risk and Reliability, Leibniz University Hannover, Germany
    4Institute for Risk and Uncertainty, and School of Engineering, University of Liverpool, United Kingdom
    5International Joint Research Center for Resilient Infrastructure & International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji University, Shanghai, China

    The ubiquity of uncertainty in real-world engineering problems has long been recognized as a topic of considerable importance. The broad area of uncertainty quantification, which encompasses the modelling and propagation of uncertainties, is associated with particular challenges related to complex stochastic hazard modelling, nonlinear system behavior, and efficient system response and reliability analysis. By harnessing the potential of seminal theoretical advancements in nonlinear random vibration theory and Monte Carlo simulation-based approaches, persistent problems of theoretical and practical importance are amenable to efficient and accurate solution treatments. The objective of this MS is to showcase recent advances and interdisciplinary approaches in the expansive domain of computational methods for stochastic engineering dynamics problems with a focus on uncertainty modeling and propagation. Further, this MS intends to provide a forum for fruitful exchange of ideas and interaction among diverse technical and theoretical disciplines. The MS welcomes contributions that span both fundamental research and practical applications of stochastic dynamics in engineering.

Conference Chairmen
The ECT 2024 Conference Chairmen and Editors are Professor Peter Iványi (Hungary), Professor Jaroslav Kruis (Czech Republic) and Professor Barry Topping (Hungary and UK).

Conference Editorial Board

The Conference Editorial Board is:

  • Prof. Ivan Au
  • Prof. K.J. Bathe
    United States of America
  • Prof. Michael Beer
    Germany, United Kingdom & China
  • Prof. Bruno Brisegella
  • Dr Pierfrancesco Cacciola
    United Kingdom
  • Dr Giorgio Chiandussi
  • Prof. Jui-Sheng Chou
  • Prof. Alessandro Contento
  • Prof. R.A. Deiterding
    United Kingdom
  • Prof. Sergiy Fialko
  • Prof. Steffen Freitag
  • Prof. A.T.C. Goh
  • Prof. George A. Gravvanis
  • Prof. Prabhat Hajela
    United States of America
  • Prof. Raja Rizwan Hussain
    Saudi Arabia
  • Prof. Peter Ivanyi
  • Prof. Peter K. Jimack
    United Kingdom
  • Prof. Patrick Kopper
    The Netherlands
  • Prof. Jaroslav Kruis
    Czech Republic
  • Prof. J.F.A. Madeira
  • Prof. Stefano Mariani
  • Prof. Liang Meng
  • Prof. Ioannis Mitseas
    United Kingdom & Greece
  • Prof. R. Montenegro Armas
    Czech Republic
  • Prof. Roger Ohayon
  • Prof. M.P. Saka
  • Prof. Alba Sofi
  • Prof. B.H.V. Topping
    Hungary and UK
  • Dr Yiannis Tsompanakis
  • Prof. S. Urushdaze
    Czech Republic
  • Prof. Yeong-Bin Yang
  • Prof. Judy P. Yang
  • Prof. J.D. Yau
  • Dr Peng Yuan
    Germany & China
  • Prof. Ka-Veng Yuen