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Training & Workshops

Specialized short courses and workshops in marine engineering, computational fluid dynamics, and digital twin technologies.

Overview

SimBlue Marine offers specialized workshops and short courses designed to train engineers and professionals in the latest marine engineering technologies. Our training programs focus on practical applications of computational fluid dynamics (CFD), digital twin technologies, underwater noise analysis, propeller optimization, and intelligent voyage planning. From hands-on software training to advanced theoretical concepts, our expert-led workshops provide comprehensive knowledge transfer for engineering teams.

Core Training Areas

Comprehensive training on acoustic modeling, cavitation analysis, and noise prediction for marine propellers and underwater structures. Learn to use advanced CFD tools for acoustic simulations and underwater noise analysis.
Hands-on workshops on creating and deploying digital twins for marine systems. Cover real-time monitoring, predictive maintenance, and system optimization using AI and machine learning techniques.
Advanced training in propeller design optimization, performance analysis, and efficiency improvements. Learn to use computational tools for hydrodynamic optimization and fuel efficiency enhancement.
Training on AI-powered route optimization, weather routing, and fuel-efficient navigation systems. Master the use of advanced algorithms for optimal voyage planning and operational efficiency.
Comprehensive training on our proprietary simulation platforms, including CFD solvers, machine learning frameworks, and data analysis tools. Learn to effectively utilize our software suite for marine engineering applications and optimization.
Tailored training programs for engineering teams, including on-site workshops, specialized courses, and ongoing technical support for implementation and maintenance of our solutions.

Our Training Programs Include

Media & Publications

ASME OMAE 2021 Short Course

Physics-Based Data-Driven Modeling and Machine Learning: Application to Marine/Offshore Engineering. This comprehensive short course covers the integration of high-performance computing with data science and machine learning for marine engineering applications.

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WCCM 2024 Scientific Machine Learning Course

Scientific Machine Learning: Application to Computational Mechanics. Advanced course covering reduced-order modeling, deep learning technologies, and their integration with computational fluid dynamics and fluid-structure interaction solvers.

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