Search
Now showing items 1-7 of 7
Development of the Analysis Procedure for the Ice-Induced Fatigue Damage of a Ship in Broken Ice Fields
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A simplified analysis method was developed to evaluate the fatigue damage of an ice-going ship under broken ice conditions. The ice resistance, which is available in the early design stages of an ice-going vessel, and the ...
Experimental Investigation of System-Identification-Based Damage Assessment on Structures
Publisher: American Society of Civil Engineers
Abstract: Damage assessment algorithms based on the system identification (SI) method are examined through laboratory experiments. The SI method considered herein identifies structural parameters in a finite-element model by minimizing ...
Improvement in Forecasting Short-Term Tropical Cyclone Intensity Change and Their Rapid Intensification Using Deep Learning
Publisher: American Meteorological Society
Machine Learning–Based Lightning Parameterizations for the CONUS
Publisher: American Meteorological Society
Case Study: Mass Transport Mechanism in Kyunggi Bay around Han River Mouth, Korea
Publisher: American Society of Civil Engineers
Abstract: The horizontal, two-dimensional Princeton Ocean Model was modified to include the salt and heat-balance equations and wetting-and-drying scheme. It was applied to Kyunggi Bay (Korea) to reproduce mean conditions for one ...
Analysis Model Verification of a Suspension Bridge Exploiting Configuration Survey and Field-Measured Data
Publisher: American Society of Civil Engineers
Abstract: The conformity between predicted and actual configurations of a suspension bridge is examined through a field survey with the compensation of temperature effects. The tension in the main cable is estimated from the surveyed ...
Application of Deep Learning to Understanding ENSO Dynamics
Publisher: American Meteorological Society
Abstract: Many deep learning technologies have been applied to the Earth sciences. Nonetheless, the difficulty in interpreting deep learning results still prevents their applications to studies on climate dynamics. Here, we applied ...
CSV
RIS