myPublications.bib

%%% Peer-reviewed journal articles

@article{huang_roles_2024,
    title = {The roles of individual force components on the capture mechanism of bubbles around a vortical flow},
    journal = {Applied Ocean Research},
    volume = {151},
    pages = {104154},
    year = {2024},
    issn = {0141-1187},
    doi = {https://doi.org/10.1016/j.apor.2024.104154},
    url = {https://www.sciencedirect.com/science/article/pii/S014111872400275X},
    author = {Tzu-Yao Huang and Artur K. Lidtke and Rens Stigter and Martijn X. {van Rijsbergen} and Tom J.C. {van Terwisga}},
    keywords = {Lagrangian bubble tracking, Capture time analysis, Tip vortex cavitation inception},
    abstract = {The mechanism of bubble capture in a vortical flow is investigated using a Lagrangian bubble tracking method. The motion of bubbles and the factors influencing their movement are examined. Detailed analysis is conducted on the roles played by each force component, such as the lift, added mass, and centrifugal forces, in the bubble capture process. An interesting finding is the identification of the stabilizing effect of the azimuthal lift force on the bubble capture mechanism. Furthermore, a model for capture time based on the radial force balance is also developed, and validated with existing experimental data. These findings, including the force mechanism and capture time model, provide a foundation for understanding the bubble capture process and can potentially inform future studies on tip vortex cavitation inception such as determining the cavitation hotspot.}
}

@article{lidtke_general_2024,
    title = {General reinforcement learning control for AUV manoeuvring in turbulent flows},
    journal = {Ocean Engineering},
    volume = {309},
    pages = {118538},
    year = {2024},
    issn = {0029-8018},
    doi = {https://doi.org/10.1016/j.oceaneng.2024.118538},
    url = {https://www.sciencedirect.com/science/article/pii/S0029801824018766},
    author = {Artur K. Lidtke and Douwe Rijpkema and Bülent Düz},
    keywords = {Autonomous underwater vehicles (AUVs), Turbulent flow, Reinforcement learning (RL), Computational fluid dynamics (CFD), Control strategies},
    abstract = {Turbulence induces unsteady loads on autonomous underwater vehicles (AUVs) and may present a significant navigation challenge. This leads to elevated risks of mission failure or vehicle damage in proximity to obstacles. A scenario of particular interest is inspection of offshore structures that needs to be carried out at short range inside a turbulent wake. This work presents a control strategy based on reinforcement learning (RL) that has been designed to handle such a complex manoeuvring scenario. Training and evaluation is carried out using computational fluid dynamics (CFD) simulations of a simplified 2D geometry of similar manoeuvring characteristics to that of an AUV moving in the horizontal plane. Due to the high cost of the simulations, substantial emphasis has been placed on improving sampling efficiency of RL training using experience transfer from a computationally less demanding environment and quicker filling of the replay buffer by applying geometric transformations to the observations. The agent can navigate not only in the training environment, but also in a previously unseen flow generated by a large circular cylinder immersed in a current. The developed control strategy has also been interfaced with a path-following algorithm that allowed the controlled vehicle to carry out an inspection task.}
}

@article{lidtke_predicting_2022,
	title = {Predicting cavitating propeller noise in off-design conditions using scale-resolving {CFD} simulations},
	volume = {254},
	doi = {10.1016/j.oceaneng.2022.111176},
	abstract = {There is increasing awareness about the harmful impact of underwater radiated noise of shipping on the marine environment, with propeller cavitation being a major contributor thereof. In order to allow low-noise propeller design, reliable and validated numerical tools are necessary. The combined use of viscous computational fluid dynamics (CFD) and Ffowcs Williams-Hawkings acoustic analogy has long been suggested as a potential frontrunner that could address this need. However, few studies presented in the open literature have shown detailed validation focused on farfield radiated noise of propellers in cavitating conditions. Present work aims to address this by applying the methodology to two thrusters operating in off-design conditions and tested at model scale. Flow is computed using scale-resolving CFD simulations and a mass-transfer cavitation model. This allows for part of the turbulence spectrum and cavitation dynamics to be resolved. It is shown that peak sound pressure levels, corresponding to the low-frequency underwater radiated noise source, may be predicted to within 5 dB of experimental results. In addition, key features of the noise spectra, such as centre frequency of the peak broadband noise level and decay slope, are also well represented in the computations. The results are supplemented by analysis of the numerical signal-to-noise ratio.},
	journal = {Ocean Engineering},
	author = {Lidtke, Artur and Lloyd, Thomas and Lafeber, Frans Hendrik and Bosschers, Johan},
	month = mar,
	year = {2022},
	pages = {111176}
}

@article{Lidtke2021b,
    AUTHOR = {Lidtke, Artur K. and Klapwijk, Maarten and Lloyd, Thomas},
    TITLE = {Scale-Resolving Simulations of a Circular Cylinder Subjected to Low Mach Number Turbulent Inflow},
    JOURNAL = {Journal of Marine Science and Engineering},
    VOLUME = {9},
    YEAR = {2021},
    NUMBER = {11},
    ARTICLE-NUMBER = {1274},
    URL = {https://www.mdpi.com/2077-1312/9/11/1274},
    ISSN = {2077-1312}
}

@article{Katsuno2021,
    title = {Estimating parameter and discretization uncertainties using a laminar–turbulent transition model},
    journal = {Computers {\&} Fluids},
    volume = {230},
    pages = {105129},
    year = {2021},
    issn = {0045-7930},
    doi = {https://doi.org/10.1016/j.compfluid.2021.105129},
    url = {https://www.sciencedirect.com/science/article/pii/S004579302100270X},
    author = {Eduardo Tadashi Katsuno and Artur K. Lidtke and Bülent Düz and Douwe Rijpkema and João L.D. Dantas and Guilherme Vaz},
    keywords = {Parameter uncertainty, Discretization uncertainty, Uncertainty quantification analysis, Sobol indices, Transitional flow, CFD}
}

@article{Lidtke2021a,
    title = {End-to-end efficiency quantification of an autonomous underwater vehicle propulsion system},
    journal = {Ocean Engineering},
    volume = {234},
    pages = {109223},
    year = {2021},
    issn = {0029-8018},
    doi = {https://doi.org/10.1016/j.oceaneng.2021.109223},
    url = {https://www.sciencedirect.com/science/article/pii/S002980182100651X},
    author = {Artur K. Lidtke and Nicholas P. Linton and Hannah L. Wright and Stephen R. Turnock and Jon Downes},
    keywords = {AUV, Hydrodynamics, Propulsion}
}

@article{Lidtke2019,
	title = {Characterizing Influence of Transition to Turbulence on the Propulsive Performance of Underwater Gliders},
	author = {Lidtke, Artur K and Turnock, Stephen R and Downes, Jon},
	journal = {Journal of Ship Research},
	year = {2019},
	pages = {1--8},
	doi = {10.5957/JOSR.09180050},
	publisher={Society of Naval Architects and Marine Engineers (SNAME)},
	volume = {63},
	number = {2}
}

@article{Higgens2020,
	title = {Investigation into the Tip Gap Flow and its Influence on Ducted Propeller Tip Gap Noise Using Acoustic Analogies},
	author = {Higgens, Adam D. and Lidtke, Artur K. and Joseph, Phil F. and Turnock, Stephen R.},
	journal = {Journal of Ship Research},
	year = {2020},
	pages = {250--265},
	doi = {10.5957/JOSR.09180086},
	publisher={Society of Naval Architects and Marine Engineers (SNAME)},
	volume = {64},
	number = {3}
}

@article{GiorgioSerchi2018,
	author = {Giorgio-Serchi, Francesco and Lidtke, Artur K. and Weymouth, Gabriel D.},
	journal = {IEEE/ASME Transactions on Mechatronics},
	title = {A Soft Aquatic Actuator for Unsteady Peak Power Amplification},
	year = {2018},
	volume = {23},
	number = {6},
	pages = {2968--2973},
	doi = {10.1109/TMECH.2018.2873253},
	ISSN = {1083-4435},
	month = {Dec}
}

@article{Lidtke2017,
	author = {Lidtke, Artur K and Turnock, Stephen R and Downes, Jon},
	journal = {Journal of Oceanic Engineering},
	doi = {10.1109/JOE.2017.2733778},
	pages = {356--368},
	title = {{Hydrodynamic Design of Underwater Gliders Using k-k$_L$-$\omega$ RANS Transition Model}},
	year = {2017},
	volume = {43},
	number = {2}
}

@article{Lidtke2016,
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Humphrey, Victor F.},
	doi = {10.1016/j.compfluid.2016.02.014},
	journal = {Computers {\&} Fluids},
	pages = {8--23},
	title = {{Characterisation of sheet cavity noise of a hydrofoil using the Ffowcs Williams-Hawkings acoustic analogy}},
	volume = {130},
	year = {2016}
}

@article{Lidtke2016a,
	author = {Lidtke, Artur K and Humphrey, Victor F and Turnock, Stephen R},
	journal = {Ocean Engineering},
	keywords = {acoustic analogy,cavitation,hydrofoil,marine propeller,noise},
	number = {1 July},
	pages = {152--159},
	title = {{Feasibility study into a computational approach for marine propeller noise and cavitation modelling}},
	volume = {120},
	year = {2016}
}

@article{Giovannetti2014,
	author = {{Marimon Giovannetti}, Laura and Lidtke, Artur K. and Taunton, Dominic J.},
	doi = {10.1016/j.proeng.2014.06.137},
	issn = {18777058},
	journal = {Procedia Engineering},
	keywords = {America's Cup,Dynamic VPP,Real-time Simulation,Sailing Simulator},
	pages = {811--816},
	publisher = {Elsevier B.V.},
	title = {{Investigation of Tacking Strategies Using an America's Cup 45 Catamaran Simulator}},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S1877705814006535},
	volume = {72},
	year = {2014}
}

%%% Peer-reviewed conference articles

@inproceedings{lidtke_sheet_2024,
	address = {Nantes, France, 7-12 July},
	author = {Lidtke, Artur K.},
	booktitle = {35th Symposium on Naval Hydrodynamics (SNH)},
	title = {{Nuclei content effects on cavitation inception noise predictions using viscous CFD and Lagrangian bubble tracking}},
	year = {2024}
}

@inproceedings{lafeber_prediction_2022,
	address = {Wuxi, China},
	title = {Prediction of {Underwater} {Radiated} {Noise} from {Propeller} {Cavitation} {During} {Concept} {Design}},
	abstract = {There is growing concern about the impact of underwater radiated noise (URN) on marine life. One of the main sources of URN of ships is propeller cavitation. Semi-empirical computational models to predict back (suction) side cavitation at the design point of open propellers have been published, but there is a lack of models that predict the URN of open propellers in off-design conditions and the URN of ducted propellers, such as thrusters. The European Union NAVAIS 1 project considered two ship types that spend large proportions of time operating at off-design conditions-a road ferry and an aquaculture workboat-and are therefore likely to experience several different forms of propeller cavitation. The present paper discusses new semi-empirical models to be used together with a boundary element method for predicting noise from these forms of cavitation. The new (medium-fidelity) models were tuned using data from a large series of model-scale noise measurements, supplemented by high-fidelity scale-resolving computational fluid dynamics simulations combined with the Ffowcs Williams-Hawkings acoustic analogy. The medium-fidelity models were used to predict the URN from a large series of propellers for a wide range of operating conditions, with the results used in a regression analysis to develop a low-fidelity tool for estimating propeller URN of road ferries and workboats during the concept design phase.},
	booktitle = {7th {International} {Symposium} of {Marine} {Propulsors} ({SMP2022})},
	author = {Lafeber, Frans Hendrik and Bosschers, Johan and Lidtke, Artur and Lloyd, Thomas and Van Wijngaarden, Erik and Moulijn, Joost},
	month = oct,
	year = {2022}
}

@inproceedings{lloyd_broadband_2022,
	address = {Southampton, UK},
	title = {Broadband {Trailing}-{Edge} {Noise} {Predictions} using {Incompressible} {Large} {Eddy} {Simulations}},
	doi = {10.2514/6.2022-2818},
	abstract = {Incompressible large eddy simulations of the flow over an airfoil at high Reynolds number and low Mach number have been performed, including simulation of bypass transition to turbulence, and trailing-edge noise predictions. Extensive data comparison and validation has been carried out, using benchmark data and additional results from literature. Three semi-analytical noise models - Curle's acoustic analogy, the Ffowcs Williams-Hall (FW-Hall) model, and Amiet's model - were applied, with the sensitivity of the results to the hydrodynamic input data investigated. Overall, a good agreement was found between experimental and numerical results in terms of hydrodynamics. The main discrepancies were an overprediction of the Reynolds stresses close to the wall, and the high-frequency part of the turbulent wall pressure spectrum, both at the trailing edge. It is hypothesised that this is caused by the underresolved transition of the boundary layer. In terms of the acoustic predictions, the FW-Hall and Amiet models perform better than Curle’s analogy, with Amiet giving the best agreement with measurements below 2 kHz, and FW-Hall being superior above this frequency, with the latter model identified as being less sensitive to the aforementioned errors in the hydrodynamic results.},
	booktitle = {28th {AIAA}/{CEAS} {Aeroacoustics} 2022 {Conference}},
	author = {Lloyd, Thomas and Lidtke, Artur and Kerkvliet, Maarten and Bosschers, Johan},
	month = jun,
	year = {2022},
	doi = {10.2514/6.2022-2818}
}

@inproceedings{Rijsbergen2020,
	address = {Osaka, Japan, 18-23 October},
	author = {Rijsbergen, Martijn X. and Lidtke, Artur K. and Lajoinie, G and Versluis M.},
	booktitle = {33rd Symposium on Naval Hydrodynamics (SNH)},
	title = {{Sheet Cavitation Inception Mechanisms on a NACA 0015 Hydrofoil}},
	year = {2020}
}

@inproceedings{Lidtke2019a,
	address = {Rome, Italy, 26-30 May},
	author = {Lidtke, Artur K and Lloyd, Thomas P and Vaz, Guilherme},
	booktitle = {Sixth International Symposium on Marine Propulsors (SMP)},
	title = {{Acoustic modelling of a propeller subject to non-uniform inflow}},
	year = {2019}
}

@inproceedings{Higgens2018,
	address = {Hamburg, Germany, 5-10 August},
	author = {Higgens, Adam D. and Lidtke, Artur K. and Joseph, Phil F. and Turnock, Stephen R.},
	booktitle = {32nd Symposium on Naval Hydrodynamics (SNH)},
	title = {{Investigation into the Tip Gap Flow and its Influence on Ducted Propeller Tip Gap Noise Using Acoustic Analogies}},
	year = {2018}
}

@inproceedings{Lidtke2018,
	address = {Hamburg, Germany, 5-10 August},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Downes, Jon},
	booktitle = {32nd Symposium on Naval Hydrodynamics (SNH)},
	title = {{Characterising Influence of Transition to Turbulence on the Propulsive Performance of Underwater Gliders}},
	year = {2018}
}

@inproceedings{Lidtke2016b,
	address = {Monterey, CA, USA, 11 - 16 Sep},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Humphrey, Victor F.},
	booktitle = {31st Symposium on Naval Hydrodynamics (SNH)},
	title = {{Multi-Scale Modelling of Cavitation-Induced Pressure Around the Delft Twist 11 Hydrofoil}},
	year = {2016}
}

@inproceedings{Lidtke2015a,
	address = {31 May - 4 June, Austin, Texas, USA},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Humphrey, Victor F.},
	booktitle = {Fourth International Symposium on Marine Propulsors (SMP)},
	title = {{Use of Acoustic Analogy for Marine Propeller Noise Characterisation}},
	year = {2015}
}

%%% Conference articles and workshop items

@inproceedings{dekkers_quantifying_2024,
	address = {Duisburg, Germany},
	title = {Quantifying the effect of turbulence intensity on turbulence-interaction noise of an airfoil using scale-resolving simulations},
	abstract = {Noise pollution from ships is known to negatively impact wildlife. It is the low-frequency broadband noise component that can travel over large distances and is mostly relevant for marine wildlife. In the absence of cavitation, such as for tidal turbines, naval surface vessels and submarines, the low-frequency noise component is dominated by the interaction of the body with a turbulent inflow. The inflow turbulence generates pressure fluctuations on and near the surface of the body, thereby radiating sound to the far-field. This turbulence-interaction phenomenon is not fully understood yet. The semi-analytical model by Amiet (1975) can be used to predict far-field turbulence-interaction noise for an airfoil, which predicts the far-field sound pressure level (S PL) as a function of the square of the turbulence intensity (TI). Amiet’s model, however, does not account for the geometrical properties of the airfoil. This work presents the results of a numerical study that aims to determine the effect of the turbulence intensity on the far-field turbulence-interaction noise for a NACA0008 airfoil. A comparison of the numerically predicted far-field noise to Amiet’s work is performed to evaluate the accuracy of Amiet for different receiver angles. The Ffowcs Williams and Hawkings (1969) (FW-H) acoustic analogy, which separates the generation and propagation of the sound, is adopted to estimate the SPL. Validation of the inflow turbulence and generated sound are performed by comparing one of the cases to a published experimental and numerical investigation for the same airfoil.},
	booktitle = {26th Numerical Towing Tank Symposium (NuTTS)},
	author = {Dekkers, Gert J. and Lidtke, Artur K. and Lloyd, Thomas P. and dos Santos, Fernanda L. and Weymouth, Gabriel D.},
	year = {2024},
	month = {23-25 October},
}

@inproceedings{kara_quantifying_2023,
	address = {Athens, Greece},
	title = {Quantifying uncertainties in numerical predictions of dynamic cavitation},
	abstract = {Cavitation on marine propellers is an important issue due to its negative effects on many aspects of their operation. Therefore, accurate prediction of cavitation is important to ensure better propeller design. Estimating the cavitation behavior numerically is a~difficult task due to the high computational cost of simulations and various numerical uncertainties. This study is carried out in order to estimate the parameter and discretization uncertainties and combine them into a~single value using an example 2D foil as the test case. Angle of attack and the cavitation number are selected as input parameters and their influence on force coefficients and sheet cavity properties is studied. Sobol indices are also obtained to measure the relative importance of the input and discretization uncertainties. It is seen that uncertainty in the angle of attack has a~much greater influence on the force coefficients than the uncertainty in the cavitation number or grid discretization uncertainty. On the other hand, the cavitation number uncertainty is dominant over the grid and angle of attack uncertainties for the length and volume of the cavity sheet. According to the results obtained, applying only the grid refinement studies is not sufficient for the estimation of the numerical uncertainties for this kind of CFD problems. It is proposed that assessing both parameter and discretization uncertainties for the presented and other similar applications with epistemic uncertainties should be applied more often.},
	booktitle = {5th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering},
	author = {Kara, Erdinc and Lidtke, Artur K. and Rijpkema, Douwe and Düz, Bülent and Kemal Kinaci, O.},
	year = {2023},
	month = {12-14 June},
}

@inproceedings{lidtke_combining_2023,
	address = {Madrid, Spain},
	title = {Combining deep reinforcement learning and computational fluid dynamics for efficient navigation in turbulent flows},
	abstract = {Autonomous underwater vehicles (AUVs) face significant challenges when navigating in turbulent environments, particularly when carrying out tasks such as inspecting offshore structures that generate large turbulent wakes. These environments increase the risk of collision and damage, and decrease the success rate of recorded video frames, but carrying out such inspections with AUV offers large potential cost savings and reduced risk to human operators. Reinforcement learning (RL) combined with computational fluid dynamics (CFD) can help develop control strategies suitable for handling such complex navigation problems. The objective of this study is to assess the feasibility of such approach. To this end, two versions of the soft actor-critic algorithm are tested: one relying on the estimated vehicle position and velocity and the other augmented with pressure surface measurements obtained from fitting the vehicle with simulated pressure transducers. Both RL agents successfully navigate in turbulent flows, but the agent provided with force estimates deduced from the surface pressure has significantly improved performance. This improvement is seen in the quality of individual episodes as well as in the training robustness and speed. Therefore, this study demonstrates the potential of using RL agents to assimilate additional information for developing robust control strategies and shows the usefulness of training RL agents in high-fidelity environments, such as CFD simulations.},
	booktitle = {X International Conference on Computational Methods in Marine Engineering (MARINE)},
	author = {Lidtke, Artur K. and Rijpkema, Douwe and Düz, Bülent},
	month = June,
	year = {2023}
}

@inproceedings{scussel_uncertainty_2022,
	address = {Zagreb, Croatia},
	title = {Uncertainty quantification in the prediction of cavitation inception of the {Duisburg} {Propeller} {Test} {Case}},
	abstract = {Accurate quantitative prediction of marine propeller performance and cavitaiton inception criteria has important implications for the eventual ship operator. However, there exist a wide range of uncertain parameters that need to be input to the CFD simulations and whose choice will affect the predictions made. As stated by NASA CFD 2030 outlook, the management of errors and uncertainties due to the lack of knowledge in parameters of a given fluidic problem is an important trend for studies involving computer simulations. Aiming to mitigate gaps in studies regarding the cavitation inception of marine propellers and to deepen the discussion on the subject, the present study seeks to quantify the uncertainties in the input data of a CFD simulation of the Duisburg propeller P1570. An existing uncertainty quantification (UQ) Python framework of Katsuno et al. (2021) capable of calculating the confidence interval (CI) and the Sobol indices (S) of each input variable is further developed and used to deduce the effect of physical input parameters on the simulation results.},
	booktitle = {24th {Numerical} {Towing} {Tank} {Symposium}},
	author = {Scussel, Atilio and Lidtke, Artur and Rijpkema, Douwe and Düz, Bülent},
	month = oct,
	year = {2022}
}

@inproceedings{Wielgosz2019,
	address = {29 Sep - 1 October, Tomar, Portugal},
	author = {Wielgosz, Chiara and Golf, Rafael and Lidtke, Artur K. and Vaz, Guilherme and el Moctar, Ould},
	booktitle = {22nd Numerical Towing Tank Symposium (NuTTS)},
	title = {{Numerical and experimental study on the Duisburg Propeller Test Case}},
	year = {2019}
}

@inproceedings{Katsuno2019,
	address = {29 Sep - 1 October, Tomar, Portugal},
	author = {Katsuno, Eduardo T and Lidtke, Artur K. and D{\"u}z, B{\"u}lent and  Rijpkema, Douwe and Vaz, Guilherme and el Moctar, Ould},
	booktitle = {22nd Numerical Towing Tank Symposium (NuTTS)},
	title = {{Parameter Uncertainty Quantification applied to the Duisburg Propeller Test Case}},
	year = {2019}
}

@inproceedings{Wang2019,
	author = {Wang, Tao and Lidtke, Artur K. and Giorgio-Serchi, Francesco and Weymouth, Gabriel D.},
	booktitle = {2019 2nd IEEE International Conference on Soft Robotics (RoboSoft)},
	title = {Manoeuvring of an aquatic soft robot using thrust-vectoring},
	year = {2019},
	pages = {186--191},
	keywords = {Robot kinematics;Turning;Valves;Trajectory;Servomotors;Propulsion},
	doi = {10.1109/ROBOSOFT.2019.8722732},
	month = {14-18 April}
}

@inproceedings{Lidtke2018a,
	title = {A low-cost experimental rig for multi-DOF unsteady thrust measurements of aquatic bioinspired soft robots},
	author = {Lidtke, Artur K. and Giorgio-Serchi, Francesco and Lisle, Matt and Weymouth, Gabriel D.},
	year = {2018},
	booktitle = {IEEE-RAS International Conference on Soft Robotics},
	address = {Livorno, Italy, 24-28 April}
}

@inproceedings{Lidtke2017a,
	address = {1-3 October, Wageningen, Netherlands},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Downes, Jon},
	booktitle = {20th Numerical Towing Tank Symposium (NuTTS)},
	title = {{Simulating turbulent transition using Large Eddy Simulation with application to underwater vehicle hydrodynamic modelling}},
	year = {2017}
}

@inproceedings{Lidtke2017b,
	address = {19-22 June, Aberdeen, Scotland, UK},
	author = {Lidtke, Artur K. and Lewis, Simon and Harvey, Terry J. and Turnock, Stephen R. and Downes, Jon},
	booktitle = {Oceans '17 MTS/IEEE},
	title = {{An experimental study into the effect of transitional flow on the performance of underwater glider wings}},
	year = {2017}
}

@inproceedings{Lidtke2016d,
	address = {6-9 November, IIS, the University of Tokyo, Tokyo, Japan},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Downes, Jon},
	booktitle = {Autonomous Underwater Vehicles 2016 (AUV)},
	title = {{Assessment of Underwater Glider Performance Through Viscous Computational Fluid Dynamics}},
	year = {2016}
}

@inproceedings{Lemaire2016,
	address = {3-4 October, St Pierre d'Oleron, France},
	author = {Lemaire, S{\'{e}}bastien and Lidtke, Artur K. and Vaz, Guilherme and Turnock, Stephen R.},
	booktitle = {19th Numerical Towing Tank Symposium (NuTTS)},
	title = {{Modelling Natural Transition on Hydrofoils for Application in Underwater Gliders}},
	year = {2016}
}

@inproceedings{Lidtke2015b,
	address = {December 2-4, NMRI, Tokyo, Japan},
	author = {Lidtke, A. and Lakshmynarayanana, A. and Camilleri, J. and Banks, J. and Phillips, A. and Turnock, S. and Badoe, C.},
	booktitle = {Tokyo 2015 Workshop on CFD in Ship Hydrodynamics},
	title = {{RANS computations of flow around a bulk carrier with energy saving device}},
	year = {2015}
}

@inproceedings{Lloyd2015a,
	address = {28-30 September, Cortona, Italy},
	author = {Lloyd, Thomas P. and Lidtke, Artur K. and Rijpkema, Douwe and {Van Wijngaarden}, Erik and Turnock, Stephen R. and Humphrey, Victor F.},
	booktitle = {18th Numerical Towing Tank Symposium (NuTTS)},
	title = {{Using the FW-H equation for hydroacoustics of propellers}},
	year = {2015}
}

@inproceedings{Badoe2014,
	address = {8-10 December, Lyngby, Denmark},
	author = {Badoe, Charles and Winden, Bjorn and Lidtke, Artur K. and Phillips, Alexander B. and Hudson, Dominic A. and Turnock, Stephen R.},
	booktitle = {SIMMAN Workshop},
	title = {{Comparison of various approaches to numerical simulation of ship resistance and propulsion}},
	year = {2014}
}

@inproceedings{Lidtke2014a,
	address = {6th-7th November, Istanbul, Turkey},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Humphrey, Victor F.},
	booktitle = {A. Y{\"{u}}cel Odabaşı Colloquium Series},
	keywords = {acoustic analogy,cavitation,large eddy simulation,noise,propeller},
	title = {{Outlook on Marine Propeller Noise and Cavitation Modelling}},
	year = {2014}
}

@inproceedings{Lidtke2014,
	address = {Marstrand, Sweden},
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Humphrey, Victor F.},
	booktitle = {17th Numerical Towing Tank Symposium (NuTTS)},
	title = {{The influence of turbulence modelling techniques on the predicted cavitation behaviour on a NACA0009 foil}},
	year = {2014}
}

@inproceedings{Lidtke2013,
	address = {26 - 28 June, Lorient, France},
	author = {Lidtke, Artur K. and {Marimon Giovannetti}, Laura and Breschan, Lisa. M. and Sampson, A. and Vitti, M. and Taunton, Dominic J.},
	booktitle = {Third International Conference on Innovation in High Performance Sailing Yachts (INNOVSAIL)},
	title = {{Development of an America's Cup 45 Tacking Simulator}},
	year = {2013}
}

%%% Periodical articles
@article{Lidtke2016c,
	author = {Lidtke, Artur K. and Turnock, Stephen R. and Humphrey, Victor F.},
	journal = {The Naval Architect},
	month = {jan},
	title = {{Saving ocean sound scapes}},
	year = {2016}
}

%%% Books and public reports
@phdthesis{Lidtke2017d,
       month = {June},
       title = {Predicting radiated noise of marine propellers using acoustic analogies and hybrid Eulerian-Lagrangian cavitation models},
      school = {University of Southampton},
      author = {Lidtke, Artur K.},
   publisher = {University of Southampton},
        year = {2017},
}

@misc{Lidtke2017c,
	author = {Lidtke, Artur K.},
	title = {{OpenFOAM programming tutorials for beginners}},
	url = {https://github.com/UnnamedMoose/BasicOpenFOAMProgrammingTutorials},
	urldate = {5 January 2018},
	year = {2017}
}

@techreport{Shenoi2015,
	address = {Southampton, UK},
	author = {Shenoi, R. A. and Bowker, J. A. and Dzielendziak, A. S. and Lidtke, A. K. and Zhu, G. and Cheng, F. and Argyos, D. and Fang, I. and Gonzalez, J. and Johnson, S. and Ross, K. and Kennedy, I. and O'Dell, M. and Westgarth, R.},
	institution = {University of Southampton},
	title = {{Global marine technology trends (GMTT) 2030}},
	year = {2015}
}