Ruggero Poletto, Author at Cloud HPC

Unleashing the Power of OpenModelica: Harnessing Cloud HPC for Next-Generation Engineering Simulations

Engineers and researchers face increasingly complex design challenges. From optimizing the thermal management of electric vehicles to simulating the intricate dynamics of a smart grid, traditional modeling approaches are often pushed to their limits. This is where OpenModelica, a powerful, open-source Modelica-based modeling and simulation environment, shines. But what if Read more

By Ruggero Poletto, 4 months16 March 2026 ago

Taming the Waves Within: Understanding Sloshing and Simulating It with DualSPHysics

Have you ever tried to walk quickly while carrying a full, shallow mug of hot coffee? You take a few steps, and suddenly the coffee starts rocking back and forth, amplifying with every stride until it spills over the edge. Congratulations, you’ve just experienced sloshing. While spilling coffee is an Read more

By Ruggero Poletto, 5 months9 March 2026 ago

OpenFOAM physical models

The Dance of the Fluid: Simulating Von Kármán Vortex Shedding

In the world of fluid dynamics, few phenomena are as visually arresting—and engineeringly significant—as the Von Kármán Vortex Street. Whether it’s the swaying of a skyscraper, the “singing” of power lines, or the swirling patterns in clouds captured by satellites, this phenomenon is a masterclass in how fluids interact with Read more

By Ruggero Poletto, 5 months23 February 2026 ago

SPH

Breaking the Mesh Barrier: High-Performance Fluid Simulations with DualSPHysics and CloudHPC

In the world of Computational Fluid Dynamics (CFD), we have long been “trapped” by the mesh. Whether you are simulating the splash of a breaking wave or the complex rotation inside a centrifugal pump, the mesh is often the bottleneck—taking days to generate and even longer to compute. Today, we’re Read more

By Ruggero Poletto, 5 months18 February 2026 ago

DEM SPH

Meshless Modeling: Navigating LIGGGHTS and OpenFOAM’s mppicFoam on cloudHPC

When it comes to simulating the movement of matter, there isn’t a “one size fits all” approach. If you are modeling a landslide, a breaking wave, or a conveyor belt filled with minerals, the physics engine you choose determines the accuracy of your results. Two of the most powerful particle-based Read more

By Ruggero Poletto, 5 months11 February 2026 ago

Code Aster

Guide: Mesh Adaptation in Non-Linear Analysis with MACR_ADAP_MAIL

In complex mechanical simulations, maintaining an accurate mesh throughout a non-linear evolution is critical. This guide explores how to implement automatic mesh adaptation using the MACR_ADAP_MAIL macro in code_aster, specifically for cases involving the STAT_NON_LINE solver. 1. Overview of the Adaptation Strategy The goal is to iteratively refine or derefine Read more

By Ruggero Poletto, 6 months10 February 2026 ago

Code Aster

Unlocking Structural Stability: Buckling Analysis with Code_Aster

Structural stability is paramount in design. While static analysis helps us understand stress and deformation, it doesn’t always tell the whole story. A slender column, perfectly safe under a static load, can suddenly collapse due to buckling when that load reaches a critical point. This phenomenon is a catastrophic failure Read more

By Ruggero Poletto, 6 months9 February 2026 ago

Regulations

Mastering Thermal Inertia: A Deep Dive into UNI EN ISO 13786:2018

In the realm of high-performance building physics, steady-state calculations (like simple U-values) often fail to capture the reality of how a building behaves under fluctuating external temperatures. To design structures that maintain comfort while minimizing HVAC loads, engineers must look toward UNI EN ISO 13786:2018. This standard specifies the characteristics Read more

By Ruggero Poletto, 6 months27 January 2026 ago

FDS

Modeling ISO 3941 Fire Classes: A Practical Guide to FDS Implementation

Fires aren’t all created equal. In the world of fire protection engineering, understanding the nature of the fuel is the first step toward stopping it. This is where ISO 3941 comes in—it’s the international standard that categorizes fires into classes based on the fuel source. But what if you aren’t Read more

By Ruggero Poletto, 6 months26 January 2026 ago

cloudHPC

Handling Particle Temperature Errors in FDS: A Troubleshooting Guide

Handling Particle Temperature Errors in FDS: A Troubleshooting Guide If you are running a fire simulation involving sprinklers, water mist, or fuel sprays, you might eventually run into a specific pair of warnings in your .out file: WARNING Delta TMP_G.Mesh: YY Particle: 1 Tag: XXXXX WARNING TMP_G_N < TMP_D_N.Mesh: YY Read more

By Ruggero Poletto, 6 months19 January 2026 ago