Deadline Date: 30 June 2027
Hydraulic structures serve as core infrastructure for water resource development, flood control, and ecological security. Advanced modelling has become a key driver for breakthroughs in structural safety, performance optimization, and intelligent operation, integrating multidisciplinary advances in computational mechanics, data science, material engineering, and intelligent algorithms. In recent years, hybrid numerical models, physics-informed machine learning, digital twins, and multi-physics coupling methods have profoundly reshaped the research paradigm of hydraulic structure analysis and design. These approaches enable high-precision characterization of complex mechanical behaviours, long-term performance evolution, and disaster risk response, supporting efficient and resilient engineering practice.
This Special Issue aims to collect cutting-edge theoretical advances and engineering applications of advanced modelling in hydraulic structures. We welcome innovative methodologies, systematic reviews, and high-impact case studies reflecting state-of-the-art trends. It will provide a platform for researchers and engineers to share insights linking theoretical innovation with real-world deployment, fostering progress in safe, intelligent, and sustainable design, construction, and maintenance of hydraulic structures.
Suggested Topics
Multiphysics coupling modelling and high-performance numerical simulation
Physics-informed machine learning and data-driven hybrid modelling
Structural health monitoring, damage identification, and risk assessment
Seismic, flood, explosion, and extreme environment resilience modelling
Material constitutive modelling and long-term durability analysis
Optimization design and intelligent decision-making for hydraulic structures
Engineering applications in dams, sluices, tunnels, slopes, and foundations
Submissions are expected to present original ideas, rigorous validation, and broad academic and practical impact.
Editorial board
