Description: Although mesh-free applications to solids date back to the early 1990s, mesh-free methods still faces several well-documented challenges in the simulation of multi-physics solids: for example when undergoing large deformations at high dynamic loading rates, such as in scenarios like contact-impact, crash and also the treatment of fracture and fragmentation. This session will focus on current research to address critical issues which often arise in modeling solids with mesh-free methodologies, such as: improved treatment of contact and boundary conditions; applications in impact mechanics, crash simulation, and fracture modelling; modelling of visco-plastic materials; multi-physics interactions involving solids and fluids; numerical strategies to mitigate common meshfree issues.
Description: The family of methods stemming from Smooth Particle Hydrodynamics (SPH) and those of Material Point Methods (MPM) are distinct particle methods with similar advantages: large Lagrangian motion and extreme deformations are achieved by construction. These methods can be used to study similar problems, and indeed some hybrid methods and codes exist that utilize elements of both. This session will focus on advances in MPM methods, as well as efforts to create hybrids that utilize both MPM and SPH discretizations to exploit the unique advantages of each.
Description: This session will focus on modeling interactions of rigid and flexible multibody systems (MBS) and systems of rigid bodies with the fluids. Applications of this sort of modeling include vehicle mobility (fording operations, liquid sloshing in tanks, vehicle interaction with deformable terrain), geological event modelling (tsunami debris motion, landslides, shore protection), and offshore energy applications (wave and tidal energy converters, offshore wind, etc.) The presentations in this session provide a snapshot of current research on SPH-based Fluid-Solid interactions, including formulations, software, and applications.
Description: This session brings together experts to discuss the application of Smoothed Particle Hydrodynamics (SPH) in maritime and aeronautics industries. Topics like sloshing flows in aircraft and ships, water drops from firefighting aircraft, aircraft ditching, and amphibious aircraft operations are at the forefront, reflecting rapid technological advancements. Participants will share experiences and insights into using SPH as a reliable tool for innovative engineering solutions.
Description: This session focuses on Machine Learning (ML) models for SPH operators with topics such as learning SPH operators; physics-aware and hybrid ML-SPH models; differentiable and adjoint SPH; reduced-order modelling and data-driven decompositions (e.g. POD/autoencoders); optimization and control; uncertainty quantification; and data assimilation and inverse problems. The session will showcase the latest work in ML and data-driven SPH, facilitate comparison across methods and applications, and share common challenges. The aim is a clear summary of the state of the art and near-term directions, while strengthening links between groups and initiating collaborations that can make fundamental advances to SPH.
Description: Engineers in the fields of automotive and aerospace engineering have increasingly come to rely on SPH to investigate critical processes where accurate representation of dynamic fluid behavior directly influences performance, safety and efficiency. Typical examples include fuel tank sloshing, vehicle wading, and aerodynamic soiling, which demand robust prediction of multiphase interactions and surface wetting effects. The session will feature contributions where SPH has been applied to such complex industrial problems highlighting the benefits of using SPH in these scenarios as compared to conventional grid-based methods.
