Professor Jørgen Amdahl
Dept. of Marine Technology, Norwegian University of Science and Technology (NTNU), 
Center for Autonomous Marine Operation and Systems (AMOS)

Academic Profile: https://www.ntnu.edu/employees/jorgen.amdahl 

Keynote Lecture

Title: Impact from ice floes and icebergs on ships in Polar regions
Abstract: Oil activity, shipping and cruise traffic in Arctic regions increase, partly sparked by global warming. This instigates safety concerns  with respect to environmental pollution, fatalities and economic loss. With large distances to infrastructure it may be challenging to assist in case of critical events. Structural damage due to impacts from ice floes and icebergs may become fatal if excessive flooding and loss of stability occur. Ships and oil rigs operating in permanent ice  cover will need to be ice-strengthened. Lightly ice-strengthened or non-ice strengthened structure may operate close to the ice edge or may need to move into light ice-conditions, e.g. during search and rescue operations. Traditionally, the design against ice loads has been based on ultimate limit state (ULS) principles; i.e. the structure shall crush the ice with minor deformations. However, for extreme ice events or for insufficient resistance, the structure may undergo large permanent deformations. Such events must be dealt with in the Accidental Limit State (ALS) format, which is not well developed for ice loads. The presentation will review the principles for ULS design and ALS design and show how they may differ substantially. Material modeling of  the ice for  nonlinear finite element analysis (NLFEA) of ice-structure interaction is  reviewed. Aspects of local and global shape of the ice feature are discussed in view of external mechanics (demand for energy dissipation) and internal mechanics (local damage).  Simplified methods for structural damage assessment are reviewed for ice loads that may move both transverse to and along the shell plating. Application examples of the ALS principles will be presented.

Arne Dugstad
Chief Scientist, Institute for Energy Technology (IFE)

Brief Profile: Mr. Dugstad has been working on corrosion problems in different types of materials for industrial and offshore application. His major contribution has been on internal corrosion of pipelines for oil and gas and corrosion of armour wires in flexibles pipes. He has, together with co-workers, produced publications and restricted reports covering a wide range of problems including CO2 and H2S induced corrosion, the protective ability of FeCO3 films, the influence of small additions of alloying elements upon the corrosion rate of carbon steels, corrosion protection by pH stabilisation and inhibition, and regeneration/reclamation of monoethylene glycol.

Keynote Lecture

Title: Transport and injection of CO₂ - technological challenges
Abastract: Extensive Carbon Capture and Storage (CCS) will require transport and injection of large quantities of liquid and supercritical CO₂. The CO₂ stream will contain impurities (i.e. H₂O, CH4, Ar, O₂, SOx, NOx, H₂S, CO) that might affect the flow properties and the corrosion of pipeline and tubing material. Several tentative CO₂ specifications have been suggested in the literature, but due to lack of data there are currently no commonly agreed specifications for safe CO₂ transport. The lack of data is reflected in the ISO standard for CO₂ transport (issued 2016) that does not recommend specific CO₂ compositions, but states that “The most up to date research should be consulted during pipeline design”.

Academic Profile: Numerical simulation methods (FVM and FEM), specifically Computational Fluid Dynamics, Object-oriented design, expert C++ programmer, Unix/Linux, high-performance computing, Numerical modelling of free surface flows, naval hydrodynamics and wave modelling, Mathematical modelling of continuum phenomena and numerical mathematics (linear solver technology), Dynamic mesh handling, error estimation, adaptive mesh refinement, Modelling of complex heat and mass transfer systems

 See also: http://cfd.fsb.hr

Keynote Lecture

Title: Multi-Scale Simulation of Extreme Wave Events
Abstract: CFD simulations of wave and current loading on off-shore objects may be the most reliable source of extreme structural loading on off-shore structures.  Under such conditions, experimental methods suffer from scaling law limitations and full-scale data on actual loads are rarely, if ever, available.  On the CFD modelling side, it is extremely hard to prescribe initial conditions that correspond to highest structural load, as they involve freak waves, non-linearity of the flow model, breaking waves, green water and potential structural response, such as springing and whipping of ships. The challenge in performing meaningful simulation of extreme loads requires a multi-scale approach.  Here, the significant wave may be screened or manufactured based on the analysis of extreme condition. Once identified, the wave field needs to be reliably advected to the structure and ultimately its interaction with the structure needs to be captured. In this presentation, a multi-scale approach to extreme wave loads shall be presented, with the focus on computationally difficult aspects, such as green water and compressibility in wave impact.  Practical simulations of extreme loads using OpenFOAM's Naval Hydro Pack shall be shown as illustration of the methodology.

Academic Profile: Dr. Saravanos is a Professor at the Dept. of Mechanical Engineering & Aeronautics of the University of Patras. Prior to joining the University of Patras, he worked as a Researcher in the Structural Mechanics and Structural Dynamics Branches of the Structures Division at the NASA Glenn Research Center in Cleveland, Ohio. He holds a Ph.D. in Mechanical Engineering from the Pennsylvania State University, a Masters in Engineering from Stevens Institute of Technology and a B.S. in Mechanical Engineering from the National Technical University of Athens. His research interests are focused in the areas of structural mechanics, structural dynamics, computational mechanics, composite materials and structures, smart materials, adaptive and morphing structures with emphasis on applications on wind turbine rotors and aeronautics.  He has received research support from EU (frameworks 5, 6 and 7, Horizon2020), national programs, NASA and EOARD/AFOSR in the fields of wind energy and aeronautics/aerospace.  He is an Associate Editor of Wind Energy and the Journal of Aerospace Science and Technology, and has served as Associate Editor in the J. of Intelligent Materials, Systems and Structures.

See also: https://scholar.google.gr/citations?user=U8ckEasAAAAJ&hl=en  

Keynote Lecture

Title: Damping in Composite Materials, Laminates and Wind Turbine Blade Structures
Abstract: Damping is among the properties of polymer-matrix composites which have received moderate attention and is less understood. The damping of composite materials is always available due to the polymer matrix, is highly anisotropic and tailorable, yet antagonistic to stiffness and strength. Therefore, the prediction of structural damping in off-shore composite wind-turbine blades is challenging, and requires development of robust multi-scale analytical capabilities. The presentation will review past and on-going analytical, numerical and experimental research conducted on this subject. Mechanics for predicting the damping of composite plies and multi-ply laminates are summarized, and damping characterization methods are proposed. The equivalent damping properties at blade cross-sections are outlined, and ultimately the prediction of structural damping in composite blades using reduced-order beam finite elements is presented. Large displacements and geometric nonlinearity are finally included in the prediction of damping of large flexible off-shore wind turbine blades. Numerical results are presented and correlated with measured data

Academic Profile: https://www.ntnu.edu/employees/svein.savik  

Keynote Lecture

Title: The use of curved sandwich beam based finite elements in stress analysis of slender structures with complex cross-sections
Abstract: The presentation addresses the use of curved sandwich beam based finite elements in stress analysis of dynamic flexible pipes, umbilicals and power cables. First, an introduction into the basic theory of curved beams, differential geometry,  the kinematics of associated hybrid mixed contact elements and alternative models for describing the friction behavior between the relevant interfaces are given. This is followed by describing how the  basic equations are applied to develop tailor-made finite elements. Then example applications are presented where the results from numerical studies are compared to monitored data obtained by full scale testing of both flexible pipe and umbilical cross-sections. Thereafter, the phenomenon of local buckling of tensile armor wires in deep water flexible pipes is discussed by comparing numerical results to both analytical equations and experimental results. Finally, the conclusions and direction of future research is presented.

Academic Profile: Prof. Jakob Mann is Editor-in-Chief and founder of the European Academy of Wind Energy (EAWE) journal Wind Energy Science and won the EAWE Scientific Award in 2013 for his work on atmospheric turbulence. He headed the New European Wind Atlas, an EU project concerned with wind resources and other relevant siting parameters for wind turbines. His main interests are flow and turbulence over terrain and around wind turbines, and Doppler lidars. He is currently Affiliate Scientist at National Center for Atmospheric Research (NCAR) in Colorado, USA.  Highest degree earned: Ph.D. in Engineering from University of Aalborg, Denmark in 1994.

See also: https://scholar.google.no/citations?user=9LfQkZ4AAAAJ&hl=no&oi=ao 

Keynote Lecture

Title: Turbulent loads on wind turbines anticipated by forward-looking Doppler lidars.
Abstract:  Reducing loads on today’s wind turbines with rotor diameters exceeding 200 m is important in order to minimize the cost of the energy harvesting turbines. Doppler lidars that measure the wind remotely are currently used to assess wind resources and may be mounted on the wind turbine nacelles to measure the wind direction and steer the turbine into the wind or to measure power curve of the turbine. Current research is investigating how to best use lidars to alleviate loads by forestalling turbulent gusts. Both experiments and modeling show that the more beam directions used by the nacelle-mounted lidars the higher the coherence between the lidar-derived wind and the wind seen by the turbine rotor. However, in normal cases, not much is gained by going beyond four to six beams. In cases where the inflow contains wakes from other turbines many more beam directions may be necessary.

Professor Anatoly B. Zolotukhin
Gubkin Russian State University (NRU) of Oil and Gas, Moscow, Russia
Northern Arctic Federal University, Arkhangelsk, Russia
University of Stavanger, Stavanger, Norway

Academic Profile:  https://scholar.google.no/citations?user=LaX7PAEAAAAJ&hl=en

Keynote Lecture

Title: Innovation technologies in offshore field development with the emphasis on the Arctic
Abstract: Development of oil and gas fields located on the Arctic shelf is characterized by complex natural and climatic conditions, an incomplete and heterogeneous database, large investments, high economic, environmental and operational risks. All this should be thoroughly evaluated and must be taken into account when deciding on the development of the field and the choice of concept.  

Professor Hojjat Adeli
The Ohio State University , USA

Academic Profile:  Hojjat Adeli received his Ph.D. from Stanford University in 1976 at the age of 26. He is currently an Academy Professor at The Ohio State University where he held the Abba G. Lichtenstein Professorship for ten years. He is the Editor-in-Chief of the international journals Computer-Aided Civil and Infrastructure Engineering which he founded in 1986 and Integrated Computer-Aided Engineering which he founded in 1993. He has also served as the Editor-in-Chief of the International Journal of Neural Systems since 2005. He has been an Honorary Editor, Advisory Editor, or member of the Editorial Board of 144 research journals. He has authored over 600 research and scientific publications in various fields of computer science, engineering, applied mathematics, and medicine, including 16 ground-breaking high-technology books. He is the recipient of over sixty awards and honors including three Honorary Doctorates from Lithuania, Spain, and Italy, and Honorary Professorship at several Asian and European Universities. In 2005, he was elected Distinguished Member, American Society of Civil Engineers (ASCE): "for wide-ranging, exceptional, and pioneering contributions to computing in civil engineering and extraordinary leadership in advancing the use of computing and information technologies in many engineering disciplines throughout the world.” He is a member of Academia Europaea, a corresponding member of the Spanish Royal Academy of Engineering, a foreign member of Lithuanian Academy of Sciences and Polish Academy of Science, and a Fellow of AAAS, IEEE, AIMBE, and American Neurological Association. He was profiled as an Engineering Legend in the journal Leadership and Management in Engineering, ASCE, April 2010, by a noted biographer of legendary engineers

Keynote Lecture

Title: Advances in Structural Health Monitoring
Abstract: Structural Health Monitoring (SHM) has been at the forefront of structural engineering research in the past two decades. Together with active/semi-active vibration control technology, they make the smart structure technology. SHM approaches can be divided into vibration-based and imaging-based techniques, the latter using machine vision technology. For vibration-based SHM, the author has advanced a multi-paradigm approach through adroit integration of a signal processing technique, chaos and fractality analysis, and machine learning (ML) techniques. ML is a key and increasingly pervasive technology in the 21st century. It is going to impact the way people live and work in a significant way. Machine learning algorithms developed by the author and his associates are briefly described with applications for health monitoring of structures. Models are presented for locating, detecting, and quantifying damage in smart highrise building structures.