rbfLAB will participate in the 54th Annual AIAS Conference (Italian Association for Stress Analysis), scheduled to take place from 3–6 September 2025 at the Centro Didattico Morgagni (CDM), University of Florence.

The AIAS Conference is a longstanding and internationally recognized forum for the mechanical engineering community, with a particular focus on mechanical design, structural mechanics, and machine construction. The event serves as a key platform for researchers, engineers, and industrial stakeholders to present novel methodologies, discuss recent advances, and foster knowledge transfer between academia and industry. The 2025 edition will introduce updated submission guidelines and new organizational features, further consolidating its role as a premier venue for scholarly and applied research in the field.

As part of the scientific program, rbfLAB will deliver three technical contributions, each addressing the development and application of radial basis function (RBF) methods in the context of digital engineering, structural mechanics, and composite material modeling:

1. Fast radial basis functions in digital engineering applications

Presenter: Marco Evangelos Biancolini

This presentation provides an overview of accelerated implementations of RBF algorithms, with emphasis on their role in computer-aided engineering (CAE) workflows. The contribution highlights recent developments enabling real-time digital twins for structural components, demonstrating how efficient RBF formulations can bridge computational performance with practical engineering applications.

1. Influence of RBF center distribution on structural analysis using the Kansa method

Presenter: Corrado Groth

This work investigates the impact of node placement strategies on the accuracy and stability of RBF-based collocation methods, specifically within the framework of the Kansa method for two-dimensional structural problems. Various spatial distributions of RBF centers are systematically evaluated and benchmarked against both finite element analyses (FEA) and analytical reference solutions.

1. Rapid stress retrieval in long-fiber angle-ply laminates via the RBF Kansa method

Presenter: Andrea Chiappa

This contribution introduces a multi-scale methodology for evaluating fiber–matrix interface stresses in long-fiber angle-ply laminates subjected to complex loading conditions. The approach integrates coarse finite element models with RBF-based upscaling techniques, enabling efficient transfer of global boundary conditions to representative volume elements (RVEs). A Kansa-type collocation method is employed to resolve local stress fields, and results are validated against high-fidelity finite element sub-modeling.

Through these presentations, rbfLAB reaffirms its commitment to advancing numerical methodologies for digital engineering, structural analysis, and composite material modeling, contributing to the ongoing dialogue between theory, computation, and industrial application.

Further details regarding the program and registration are available on the official AIAS Conference website.