146 citations · 146 across the 3 of their papers we have counts for
3 papers
Skew Adjustment Factors for Fragilities of California Box-Girder Bridges Subjected to Near-Fault and Far-Field Ground Motions
Sujith Mangalathu, Jong-Su Jeon, Jiqing Jiang
Past reconnaissance studies revealed that bridges close to active faults are more susceptible to damage and more than 60% of the bridges in California are skewed. To assess the com…
Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques
Sujith Mangalathu, Jong-Su Jeon
A framework for the generation of bridge-specific fragility utilizing the capabilities of machine learning and stripe-based approach is presented in this paper. The proposed method…
Predicting the dissolution kinetics of silicate glasses using machine learning
N. M. Anoop Krishnan, Sujith Mangalathu, Morten M. Smedskjaer +3
Predicting the dissolution rates of silicate glasses in aqueous conditions is a complex task as the underlying mechanism(s) remain poorly understood and the dissolution kinetics ca…