“From AIS Data to Fatigue Life: Advancing ShipRight Spectral Fatigue Assessment with Global Trading Pattern Modelling”
by
Cong Nguyen, Structural Research & Procedures Senior Specialist, Lloyds Register
Date: Wednesday, 10th June 2026
Time: 17:30 for 18:00-19:15 hours (duration approximately 1 ¼ hours)
Venue: The Royal Institution of Naval Architects, 8-9 Northumberland Street, London, WC2N 5DA
Organiser: RINA London Branch
Meeting Type: Hybrid
Event Information:
This presentation outlines recent developments at Lloyd’s Register in spectral fatigue assessment methodologies and
their integration with data-driven representations of global ship operations.
The work focuses on enhancing fatigue design realism through the development of improved trading patterns for long-term structural assessment, forming part
of the 100A1 Fatigue Design Assessment framework.
A key advancement is the derivation of worldwide operational trading patterns based on large-scale AIS data covering more than 200,000 vessels. Using a combination of unsupervised machine learning techniques, including DBSCAN clustering, and statistical analysis, representative route and operational profiles have been extracted for major vessel segments, including container ships and gas carriers. These patterns provide a refined description of real-world operational exposure, replacing conventional simplified or assumed service profiles used in fatigue assessment.
The resulting methodology enables more realistic long-term load representation in spectral fatigue calculations, leading to improved correlation between predicted and observed structural performance. Application of these data-driven operational models has demonstrated a significant increase in predicted fatigue life for key structural components, particularly in container ship applications.
The presentation will discuss both the underlying spectral fatigue framework and the methodology for deriving global trading patterns from AIS data, highlighting how the integration of large-scale operational intelligence and machine learning can support more accurate, risk-informed structural design and assessment in modern classification practice.
ALL are welcome to attend
CPD certificates will be available upon request.
How to Register:
For the “Virtual” event, register here.
For the “In-Person” event register at london@rina.org.uk