• Computational Structures Technology
    (where structures is interpreted in its widest sense.)
• Computational Stochastic Mechanics
• Integration of Computational Structures Technology
    and Computational Fluid Dynamics
• Computational Nano-mechanics
• Computational and Nonlinear Dynamics
• Computational Geotechnics
• Computational Biomechanics

Stream 1: Developments in Methods and Techniques

• Finite and Boundary Element Analysis
• Discrete Element Methods
• Particle Methods
• Meshfree Methods
• eXtended Finite Element Method
• Adaptivity
• Isogeometric Analysis
• Eigensolvers
• Spectral and Wave Element Methods
• Differential Quadrature Methods
• Partial Differential Equations
• Peridynamics
• Fractional Methods

• Static and Dynamic Analysis
• Non-Linear Analysis
• Stochastic and Reliability Analysis
• Chaotic Phenomena
• Impact and Contact

• Material Models
• Functional Graded Materials
• Geomaterials
• Smart Materials
• Piezoelectric Materials
• Composite Materials
• Fracture and Fatigue
• Brittle Materials
• Materials Characterisation
• Poromechanics
• High Performance Fibre Reinforced Cementitious Composites

• Error Estimation, Verification and Validation
• Visualisation and Graphics
• Mesh and Grid Generation
• Tools for Post- and Pre- Processing
• Managing Large Data Sets including data compression

• Computer Aided Design
• The Role of Finite Element Method in Design
• Structural and Multidisciplinary Optimisation
• Structural Re-analysis & Sensitivity Analysis
• Shape and Topology Optimisation
• Computational Tools for Integrated Design
• Reliability-based Optimal Design
• Stochastic Optimal Structural Control
• Stochastic Optimisation Methods
• Swarm Intelligence Techniques
• Machine Learning Algorithms
• Surrogate Modelling in Structural Optimisation
• Robust Design
• Additive Manufacturing (3D-Printing)

• Software Standards and Quality Control
• Verification and Validation
• Autonomic Computing
• Parallel, Distributed and Cloud Systems
• Use of High Performance Computer Architectures
• Supercomputing
• Domain Decomposition and Partitioning
• MIMD Architectures
• Distributed Computing and Networking
• Artificial Intelligence and Knowledge-Based Systems
• Novel Software Tools and Development Environments
• Virtual Reality and Immersive Systems
• Algorithms for Vectorisation and Parallelisation
• Genetic Algorithms and Evolutionary Processes
• Neural Networks
• Object Oriented Methods
• Data Mining
• Solution Procedures for Large Scale Problems
• Hardware and Software developments for HPC
• Grid and Cloud Computing
• WWW Applications
• Large Scale Systems
• Computational Steering
• Digital Twins in Structural Engineering

• Numerical Modelling of Foundations
• Soil-Structure Interaction
• Structural Modelling
• Computational Methods for the Structural Assessment of Historical Structures
• Damage Identification
• Micro-Mechanics Model
• Dynamic Systems
• Smart Structures
• Building Information Modeling in Structural Engineering.
• Fluid-Structure Interaction
• Large Scale Systems
• Earthquake and Structural Dynamics
• Active Control
• Damage Tolerant and Fail Safety Computer Design
• Uncertainty and Probabilistic Analysis
• Multi-Scale Modelling
• Multi-Body Dynamics
• Material Modelling and Characterisation
• Acoustics and Vibrations
• Damping
• Inverse Problems
• Human Induced Vibrations
• Multi-Hazard Applications
• Pipeline engineering
• Multiphase flow modelling

• Plate and Shell Structures
• Aerospace Structures
• Offshore Structures
• Lightweight, Membrane and Fabric Structures
• Retractable Roofs
• Composite and Concrete Structures
• Timber Structures
• Steel and Aluminium Structures
• Brick, Blockwork and Masonry
• Geotechnical Structures
• Smart Structures
• Structural Health Monitoring
• Computer Simulated Demolition
• Structures under Extreme Loading (e.g. Blast and Fire)
• Protective Structures
• Forming and Coupled Problems
• Heritage Structures
• Subsea structures and Pipeline Design
• Onshore pipelines

• Course Development
• On-line Training Systems

• CST-S1: Advanced Analysis of Steel and Steel-Concrete Composite Structures
  organised by: Professor J.G. Santos da Silva, Rio de Janeiro State University, UERJ, Brazil
  Professor L.F. Costa Neves, University of Coimbra, UC, Portugal
  

  The aim of this special session is to summarize the progress in theoretical, computational and experimental research in the field of structural analysis of steel and steel-concrete composite structures. Special emphasis is always given to new concepts and procedures concerning the computational modelling, structural analysis and design of steel and steel-concrete composite structures. Topics of interest include static and dynamic structural analysis, fatigue analysis, seismic analysis, vibration control, stability design, structural connections, cold-formed members, bridges and footbridges, fire engineering, trusses, tower and masts, linear and nonlinear structural dynamics and soil-structure interaction. Papers of all research areas related to theoretical, numerical and experimental aspects concerning the computational modelling, analysis and design of steel and steel-concrete composite structures are very welcome.

• CST-S2: Computational Methods for Biomechanics
  organised by: Dr Hendrik Geisler, Leibniz University Hannover, Germany
  

  Modern biomechanics is defined by a complex interplay of deformations, fluid-structure interactions as well as growth and remodeling processes. The inherent complexity of these biological systems often leads to computationally expensive nonlinear models which limit the practical applicability. In many applications, models must be evaluated repeatedly for a wide range of parameters, for instance, to find optimal therapeutical dosages and surgical timings timings or to quantify uncertainties inherent in biological data. In order to meet these demands, there is a growing need for innovative and computationally efficient modelling frameworks. Besides algorithmic improvements and novel modelling approaches, mitigation strategies, specifically reduced-order modelling, surrogate models and machine learning techniques, have emerged as possible solutions.

• CST-S3: Advances in Finite, Boundary and Discrete Element Methods
  organised by: Professor Jaroslav Kruis, Czech Technical University in Prague, Czech Republic
  

  With the increasing power of computers, more and more complex problems are emerging, especially in the case of coupled multiphysics problems. Their solution not only requires a large number of arithmetic operations, but the existing tools in the finite element method, boundary element method and discrete element method are not sufficient. It is necessary to construct new elements, improve numerical integration methods and solve problems related to complex material models. The growing number of degrees of freedom requires efficient tools for solving systems of linear or nonlinear algebraic equations and for calculating eigenvalues and eigenvectors.

• CST-S4: Analysis, Design and Modelling of Structures Using Unconventional Construction Materials
  organised by: Professor Hexin Zhang, Edinburgh Napier University, School of Computing, Engineering and the Built Environment, Scotland, UK
  

  The objective of this special section is focussed on the most recent developments in the numerical simulation, computational and experimental investigation in structures constructed by unconventional construction materials, such as fibre reinforced polymer (FRP), “green” concrete, glass, timber, bamboo, etc. This special emphasis is proposed to provide new concepts and procedures of simulation, analysis and design methods for the structures constructed by innovative construction materials. Topics of interest include static and dynamic analysis, numerical modelling, computer simulation, structural design, connections, off-site construction, composite structures, trusses, bridges and footbridges, fire engineering, floor vibration, house and sound insulation, and sustainable constructions.

• CST-S5: AI, Sustainable Design, Optimization, Structural Control and Monitoring, and Digital Twins for Next-Generation of Structures and Infrastructures
  organised by:
  Dr Raffaele Cucuzza, Bartlett UCL, United Kingdom
  Professor Giuseppe Carlo Marano, Politecnico di Torino - DISEG, Italy
  Professor Majid Movahedi Rad, Széchenyi István University, Hungary
  Professor Valentina Villa, Politecnico di Torino - DISEG, Italy
  Professor Marco Domaneschi, Politecnico di Torino - DISEG, Italy
  
  

  The growing demand for resilient, sustainable, and high performance infrastructure is driving structural engineering toward intelligent and adaptive systems. Technologies such as AI, structural control, health monitoring, and Digital Twins are transforming structures from static entities into dynamic systems able to sense, learn, and respond over time. By integrating real time data, advanced control, AI driven models, and Digital Twins, predictive frameworks can continuously optimize safety, performance, and sustainability.This Special Issue highlights innovative approaches combining monitoring, control, AI, and Digital Twins to advance structural engineering as a predictive discipline. The aim is to promote next generation structures that are intelligent, adaptive, self aware, and resource efficient.

The Conference Editorial Board is currently being assembled: