An efficient active learning-based method for reliability analysis of geotechnical structures using sparse polynomial chaos expansion

Key Points

• The active learning-based method significantly enhances reliability analysis outcomes for geotechnical structures.
• Results show improved accuracy in uncertainty quantification with sparse polynomial chaos, addressing complex behavior.
• Analysis utilizes a framework that integrates active learning with polynomial chaos expansion for efficiency.
• Implications suggest potential advancements in reliability assessments of geotechnical infrastructures, with further validation needed.