Finite Element Methods (FEM) are a cornerstone in modern engineering, providing a robust mathematical framework to analyze and solve complex physical problems that would otherwise be intractable. FEM discretizes geometries into smaller, manageable elements (finite elements) to approximate solutions numerically. This enables engineers to handle complex shapes and boundary conditions effectively. FEM supports multiphysics simulations, allowing simultaneous analysis of multiple interacting physical processes.
Fluids exhibit complex, often chaotic behavior that is difficult to predict analytically or experimentally. Hence, Computational Fluid Dynamics (CFD) become an essential tool in engineering, providing accurate prediction of complex flows. It establishes a numerical approach to solve fluid dynamics equations, enabling detailed analysis of flow patterns, pressure, and velocity distributions in various systems.
Discrete Event Simulation (DES) is a method for modeling systems where changes occur at specific points in time, driven by discrete events such as the arrival of a customer, the start of a machine process, or the completion of a task. DES is a critical tool for analyzing, optimizing, and designing systems across engineering and beyond. It provides a structured way to model and simulate systems with discrete events described by their statistics, capturing dependencies and interactions.
Artificial Intelligence (AI) has the potential to revolutionize engineering simulations by enhancing accuracy, speed, usability, and predictive capabilities across various domains. AI-powered tools can accelerate simulations through surrogate modeling and reduced-order techniques, enabling real-time analyses and rapid design iterations. AI automates pre- and post-processing tasks, such as geometry preparation, boundary condition estimation, and data visualization, reducing the burden on engineers.
Floating solar installations are revolutionizing energy generation by leveraging vast water surfaces for scalable deployment. However, these systems present unique challenges due to their geometric topology and hydrodynamic behavior. Unlike traditional offshore platforms, floating solar arrays are composed of hundreds or thousands of interconnected panels, each about one meter in size. The connectors and gaps between panels introduce significant non-linearities to the multi-body hydrodynamics, requiring sophisticated modeling techniques to accurately predict system behavior.
Multi-body
Hydrodynamic Analysis
Precisely simulating the interactions among interconnected panels and assessing their response to environmental loads.
Scalable Computational
Models
Developing highly parallelized simulation tools capable of handling industrial-scale arrays efficiently.
Optimization
Algorithms
Enhancing the design and arrangement of panels to optimize dynamic responses while ensuring structural resilience.
Digital Twin
Integration
Providing a comprehensive virtual representation of the solar farm, enabling real-time monitoring, optimization, and predictive maintenance.
Offshore wind installations are reshaping energy production by capitalizing on the higher and steadier wind resources available at sea. However, as wind turbines get bigger and move offshore, new challenges are presented to a well-established wind energy industry: Bigger structures are more sensitive to dynamic loadings, that in the offshore environment couple ocean and atmospheric dynamics; the offshore wind resource is poorly understood; and increasing depths leads to increasingly complex and expensive engineering solutions.
Dynamic Load Analysis
Simulating coupled ocean-atmosphere interactions to understand and mitigate the effects of environmental forces on turbine structures.
Site-Specific Forecasting
Delivering detailed meso- to micro-scale wind and metocean predictions to optimize site selection and layout.
Multi-Physics Modeling
Conducting integrated analyses of soil, fluid, and structural interactions to ensure stability and performance under complex loading conditions.
Optimization Algorithms
Refining wind farm layouts, turbine positioning, and structural designs to maximize energy production and safety while reducing costs.
Digital Twin Integration
Codeveloping a comprehensive digital twin of the wind farm, enabling real-time monitoring, operational optimization, and predictive maintenance strategies.
Marine transportation is a cornerstone of global commerce, responsible for moving the majority of the world’s goods and resources. However, it is increasingly sensitive to the impacts of climate change and pollution, which threaten both its operational safety and its environmental sustainability. Rising sea levels, more frequent extreme weather events, and stricter environmental regulations are creating new challenges for the industry.
Dynamic Condition Monitoring
Simulating and predicting vessel responses to varying environmental loads to enhance safety and performance.
Optimization of Vessel Operations
Refining route planning and fuel consumption to improve efficiency and reduce emissions.
Regulatory Compliance Support
Assisting stakeholders in meeting environmental standards through precise modeling and predictive tools.
Environmental Impact Analysis
Modeling and mitigating the ecological effects of marine transportation and offshore activities.
Digital Twin
Development
Creating virtual representations of marine assets to support real-time decision-making and long-term operational planning.
Whether it is developing new technologies, optimizing existing processes, or pioneering breakthrough solutions, we bring our expertise in mathematical modeling, artificial intelligence, and advanced simulations to support innovation across multiple domains.
We particularly enjoy working with with small and medium-sized enterprises (SMEs) and startups, as we believe they drive some of the most disruptive and transformative changes in the industry. If yout company has an innovative challenge and is looking for cutting-edge mathematical and computational solutions, we invite you to reach out to us.
