A5081975975- Ship Hydrodynamics and Maneuverability
- Structural Integrity and Reliability Analysis
- Ocean Waves and Remote Sensing
- Structural Health Monitoring Techniques
- Underwater Acoustics Research
- Maritime Transport Emissions and Efficiency
- Maritime Navigation and Safety
- Oceanographic and Atmospheric Processes
- Fault Detection and Control Systems
- Probabilistic and Robust Engineering Design
- Target Tracking and Data Fusion in Sensor Networks
- Tropical and Extratropical Cyclones Research
- Arctic and Antarctic ice dynamics
- Fluid Dynamics Simulations and Interactions
- Radar Systems and Signal Processing
- Cryospheric studies and observations
- Wind and Air Flow Studies
- Machine Fault Diagnosis Techniques
- Coastal and Marine Dynamics
- Wave and Wind Energy Systems
- Diverse Research and Applications
- Advanced Statistical Process Monitoring
- Arctic and Russian Policy Studies
- Spacecraft and Cryogenic Technologies
- Vehicle emissions and performance
Technical University of Denmark
2015-2024
Norwegian University of Science and Technology
2015-2023
SINTEF Ocean
2016-2022
California Maritime Academy
2003-2021
Ørsted (Denmark)
2012-2015
Tokyo University of Marine Science and Technology
2015
Danmarks Nationalbank
2011
Max Planck Society
2007
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
2002
Aarhus University
1988-1990
This study investigates the speed-power relationship of ships, and is based on a combined econometric naval architectural data-driven model fed with operational data from more than 50,000 noon reports obtained 88 tankers. It shown that exponent significantly lower 3 at speed intervals below design speed. finding, including itself, affects environmental discussions related to slow steaming, since it implies steaming will not be as good often stated. As such, imparts attention optimisation,...
A quantum wave packet calculation for the activated dissociative adsorption of H2 is presented. Restricting motion molecule to lie within a plane normal surface we have treated all four molecular degrees freedom exactly. We compare results obtained using two-, three-, and four-dimensional simulations on same potential show that by restricting orientation, important dynamical effects are lost. The employed in calculations has been effective medium approximation. In it possible treat...
Transfer functions are often used together with a wave spectrum for analysis of wave–ship interactions, where one application addresses the prediction wave-induced motions or other types global responses. This paper presents simple and practical method which can be to tune transfer function such responses facilitate improved capability. The input consists measured response, i.e. time series sequences from given sensor, 2D characterising seaway in measurements taken, an initial estimate...
Abstract In this paper we develop a deep neural network model to estimate the wave added resistance. The required data train is generated using strip-theory calculations over wide range of hull geometries and operational conditions. efficient as it only requires ship's main particulars: length, beam, draft, block coefficient slenderness ratio. addition, present an application in vessel performance framework. This will be used for predicting propulsion power analyzing degree biofouling on...
The present paper implements machine learning methods for the prediction of added-wave resistance ships in head to beam wave conditions. study is focused on non-linear regression algorithms namely Random Forests, Extreme Gradient Boosting Machines and Multilayer Perceptrons. employed dataset derived from results three different potential flow covering a wide range operational conditions 18 hull forms total. rational data preprocessing makes up core part having its focal point practical...
The real-time provision of high-quality estimates the ocean wave parameters at appropriate spatial resolutions are essential for sustainable operations marine structures. Machine learning affords considerable opportunity providing additional value from sensor networks, fusing metocean data collected by various platforms. Exploiting ship-as-a-wave-buoy concept, this article proposes integration vessel-based observations into a wave-nowcasting framework. Surrogate models trained using...
This paper presents a comparison of three different machine learning frameworks applied in the wave buoy analogy used for estimating sea state from measured ship responses. The output and characterise ways: Model 1 outputs integral parameters, 2 point spectrum direction, 3 full directional spectrum. assessment models is based on simulated motion measurements, i.e. synthetic data. In particular investigations made, performance 2, relying novel framework, generally superior. However, central...
A new high-stability scanning tunneling microscope (STM) has been developed. Its key design feature is the application of two, concentrically aligned, piezoelectric ceramic tubes, allowing x–y–z motion tungsten tip as well sample mounting to be cast into a single compact unit. The construction small, very rigid, and temperature compensated, yielding reduced sensitivity mechanical acoustic vibrations variations. Other advantages this ‘‘thimble-size’’ STM include easy and, at later stage,...