PAL-GP: A parallel active learning framework based on Gaussian processes for efficient fatigue reliability assessment of structures

Key Points

• Improved fatigue reliability can be achieved using a gaussian processes approach, enhancing structural assessments.
• Key evidence shows that the new framework reduces computational efforts significantly when assessing fatigue.
• The approach utilizes a parallel learning framework, maximizing efficiency in fatigue reliability evaluations.
• This work supports further exploration of gaussian processes for advancing structural reliability assessments.