Blar i NTNU Open på forfatter "Kim, Ekaterina"
-
A rate and pressure dependent elastoplastic material model for glacial ice colliding with marine structures
Mokhtari, Mojtaba; Kim, Ekaterina; Amdahl, Jørgen (Chapter, 2023)An elastoplastic ice material model with a rate and pressure dependent yield criterion is proposed in the present study for ice-structure collision simulations. The yield criterion is based upon the Tsai-Wu failure envelope ... -
Review and comparison of existing risk analysis models applied within shipping in ice-covered waters
Xu, Sheng; Kim, Ekaterina; Haugen, Stein (Peer reviewed; Journal article, 2021)With the changing climate and declining extent of sea ice, the activities in the Arctic region have become increasing significantly. Compared to the environments with ice-free waters, the harsh environment in the Arctic ... -
Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea ice formations from close-range optical images
Panchi, Nabil; Kim, Ekaterina; Bhattacharyya, Anirban (Peer reviewed; Journal article, 2021)This paper presents a three-stage approach for the automated analysis of close-range optical images containing ice objects. The proposed system is based on an ensemble of deep learning models and conditional random field ... -
Toward a holistic load model for structures in broken ice
Kim, Ekaterina; Lu, Wenjun; Lubbad, Raed; Løset, Sveinung; Amdahl, Jørgen (Journal article; Peer reviewed, 2015)Over the past decade we have seen an increase in marine operations in Arctic waters. Despite research and work on several offshore standards and ship rules, the ice loads on fixed and floating structures are not fully ... -
Towards automated identification of ice features for surface vessels using deep learning
Kim, Ekaterina; Panchi, Nabil; Dahiya, Gurvinder (Journal article; Peer reviewed, 2019)Ship traffic in ice exposed areas is increasing, and ice navigation is largely a manual task. Despite the progress in machine learning and computer vision algorithms, little focus has been given to computer-aided scene ... -
Uncertainty quantification in the ice-induced local damage assessment of a hull section
Kim, Ekaterina; Yu, Zhaolong; Amdahl, Jørgen; Løset, Sveinung (Journal article; Peer reviewed, 2019)For the northernmost ocean regions, where the ice is occasionally present, one must design a robust structure that can withstand rare ice events (i.e., a glacial ice impact). Despite existing engineering practice is well ... -
Understanding Polar Environment: Preliminary Results from Deep-Learning-based Segmentation of Optical Ice Images
Panchi, Nabil; Kim, Ekaterina; Bhattacharyya, Anirban (Chapter, 2019)Computer vision-aided scene understanding has drawn much attention, especially in autonomous vehicles and advanced driver assistance systems. Image segmentation forms the core of these systems, which is required for effective ... -
Understanding the effect of assumptions on shell plate thickness for arctic ships
Kim, Ekaterina; Amdahl, Jørgen; Storheim, Martin; Løset, Sveinung (Journal article; Peer reviewed, 2015)The presence of ice requires specially constructed ships. The biggest challenge in this aspect is ice loads on ship’s hull: processes of deformation and fracture of ice are not fully understood and ice geometry and mechanical ...