WELCOME, PLENARY SESSION and MAIN SESSION

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STEFANO ODORIZZI | Curriculum

Graduated in Civil Engineering in 1973, Stefano Odorizzi started his activity as researcher in 1976 at University of Padova, where he holds the course of Solid Mechanics.
CEO and co-founder of EnginSoft, multinational consultancy company engaged in Simulation Based Engineering Science, he actively promotes numerical simulation for research activity, with particular attention for manufacturing process, metallurgy, multi-disciplinary and multi-objective optimization.

Since 1977, he has been Project leader of a large number of EU co-funded research projects (like COMETT, CRAFT, BRITE-EURAM, MURST, EU-RTD); he is an active member of several associations (ISOPE, ASM Europe, AICAP, AIM, ATA, NAFEMS) and he plays an important role within prestigious European Networks (MACSinet, FENET, INGENET, TECHNET). His commitment in numerical simulation dissemination is witnessed by his many initiatives as General Manager of EnginSoft, in academic research and advanced training and education.

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The design and implementation of future autonomous vehicles is a complex task that touches a number of diversified topics and requires extended interdisciplinary techniques and knowledge. An autonomous vehicle needs to move in ordinary traffic and master intercultural behaviors, therefore environmental perception together with intelligent decision planning play a role of paramount importance. The training of a perception system can indeed be performed on a simulator first, and then continued on real situations on public roads open to traffic, since the vehicle is manually driven; however, when training a planning system, the quantity of simulation on a synthetic environment is larger than in the previous case and is required in order to ensure safety for all road participants during the tests. The talk will discuss the role of simulation in view of the experience of the VisLab autonomous vehicles.

ALBERTO BROGGI | Curriculum

Prof. Alberto Broggi received the Dr. Ing. degree in Electronic Engineering and the Ph.D. degree in Information Technology both from the Universita` di Parma, Italy. He became Full Professor at the Universita` di Parma and in 2009 he founded VisLab a spinoff of the Univ of Parma focused on technologies for autonomous driving. In 2015 VisLab merged with Ambarella, a silicon valley company working on HD and super HD video. Alberto is now General Manager of VisLab.

As a pioneer in the use of machine vision for automotive applications and on driverless cars, he authored more than 150 publications on international scientific journals. He served as Editor-in-Chief of the IEEE Transactions on Intelligent Transportation Systems for 5 years and served the IEEE Intelligent Transportation Systems Society as President for 2 years. He is recipient of two ERC (European Research Council) prestigious recognitions.
Alberto is an IEEE Fellow.

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Simulation becomes more and more important in today's engineering work in order to reduce product cost, accelerate entry to market and improve product quality. The talk will focus on the grand challenges in developing and using simulation capabilities from an industrial perspective, and how product simulation and physical testing need to be developed in the future.

AKIN KESKIN | Curriculum

Dr Akin Keskin is a Rolls-Royce Engineering Associate Fellow in Design Systems and Methodologies. Akin has an Aerospace Engineering degree with a focus on Turbomachinery Design from the Berlin University of Technology in Germany and PhD in Mechanical Engineering with a focus on Process Automation and Design Optimisation from the Cottbus University in Germany.

He started his professional career 15 years ago at Rolls-Royce Deutschland and is now based in Derby working for Rolls-Royce plc. Throughout his entire career he has been developing improved simulation methods and integrated design systems to help the Engineering community with better and faster tools.

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Abstract

The presentation will show Grundfos journey towards fully Virtual Product Development.
A simulation strategy has been developed for the Mechanical Development area where the use of prototypes will be dramatically reduced. The overall purpose is that Grundfos want to cut development time dramatically. This implies that simulations will be used to much broader extent, competences will to be updated and the trust in simulations has to be established.

A pilot project was carried out and resulted is in a significant cost saving, a shorter development time and a much higher level of quality validation.

CHRISTIAN BRIX JACOBSEN | Curriculum

Director Mechanical Development at Grundfos Management A/S - September 2012 - Present
Visiting Professor at Jiangsu University - October 2011 - Present
I have been apointed as visiting professor at Jiansu University. China national college key displine Jiangsu University Research Center of Pumps and Pumping System Engineering and Technology.
Manager Structural and Fluid Mechanics at Grundfos Management A/S - October 2010 - September 2012
Manager for the new function: Structural and Fluid Mechanics
Head of Structural and Fluid Mechanics at Grundfos Management A/S - October 2000 - October 2010
Head of Motor Engineering at Grundfos Management - May 2007 - September 2008
Project manager at Grundfos Management A/S - May 1997 - October 2000
Development Engineer at Aalborg Industries A/S - September 1992 - August 1993

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The research focus of the Structural Mechanics and Acoustics Department at the University of Applied Sciences of Ulm is the calculation of the sound radiation of gearboxes. The focus of the presentation is the validation of the noise generation through the tooth engagement inside the gearbox. Using the multibody-simulation the model of the powertrain has been designed to calculate the dynamic bearing force at the bearings outer ring as the vibrations are travelling from the gearwheel section through the shafts and bearings to the gearbox housing causing it to vibrate. The calculation results of the multibody simulation models are appropriate. The tooth meshing frequencies and sidebands caused by the bearing rolling elements are occurring as expected and are proofing the quality of the model.
After determining the bearings outer ring as the intersection between the powertrain and the gearbox housing a bearing force measurement device was designed to validate the calculated dynamic bearing force. The measurement device enables to record the dynamic bearing force between the bearing seat and the bearings outer ring. After setting up the modified powertrain, a gearbox test bench was designed having a rotational speed range from 800 min-1 to 3500 min-1 and a maximum torque of 140 Nm. The test bench and the gearbox concept enables to investigate influences on the noise generation of helical and spur gearwheel sections and variable viscosities of the lubricant.
In conclusion, the designed gearbox test bench combined with the bearing force measurement device to measure the dynamic bearing force is a significant enhancement of the state of the art. Furthermore, the results of the calculation of the dynamic bearing force using the multibody simulation correspond with the measured dynamic bearing force.

STEFAN FALKENBERGER | Curriculum

Mr. Falkenberger started his career as a Certified Technician, in accident Medical Technology, at the Medical Technical Academy Esslingen. After that, he started in 2003 his studies at the Hochschule Ulm, focusing on Automotive Engineering and achieved his diploma in 2008. From 2008 until 2011 Mr. Falkenberger worked at Bosch Engineering as an Application Engineer. Since 2011 up to now, he is an assistant professor (an external doctoral candidate) at the Hochschule Ulm in the Laboratory for Structural Mechanics and Acoustics.
www.hs-ulm.de/falkenberger

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Abstract

Metallurgy is a key enabler of a Circular Economy (CE), its digitalization the metallurgical Internet-of-Things (m-IoT). In short: Metallurgy is at the heart of a CE as metals all have strong intrinsic recycling potentials.Process metallurgy as a key enabler for a CE will help much to deliver its goals. The first principles models of process engineering help quantify the Resource Efficiency (RE) of the CE system, connecting all stakeholders via digitalization. This provides well-argued and first principles environmental information to empower tax paying consumer society, policy, legislators and environmentalists. It provides the details to detail Capital and Operational Expenditure (CAPEX & OPEX) estimates. Through this path the opportunities and limits of a CE, recycling and its technology can be estimated. The true boundaries of sustainability can be determined in addition to the techno-economic evaluation of RE.The digital integration of metallurgical reactor technology and systems, not only on one site but linking different sites globally via hardware, is the basis for describing CE systems as dynamic feedback control loops i.e. the metallurgical Internet of Things (m-IoT). It is the linkage of the global carrier metallurgical processing system infrastructure, that maximizes the recovery of all minor and technology elements in its associated refining metallurgical infrastructure. This will be illustrated through:

• System optimization models for multi-metal metallurgical processing. These map large scale m-IoT systems, which link to Computer Aided Design (CAD) tools of the Original Equipment Manufacturers (OEMs), and then establish a recycling index (RI) through the quantification of RE.
• Reactor optimization and industrial system solutions to realize the “CE (within a) Corporation - CEC”; realizing the CE of society.
• Real-time measurement of ore and scrap properties in intelligent plant structures, linked to the modelling, simulation and optimization of industrial extractive process metallurgical reactors and plants for both primary and secondary materials processing.
• Big-data analysis and process control of industrial metallurgical systems, processes and reactors by the application of among others artificial intelligence (AI) techniques and computer aided engineering (CAE).
• Minerals processing and process metallurgical theory, technology, simulation and analytical tools, which are all key enablers of the CE.
• Visualizing the results of all the tools used for estimating the RE of the CE system in a form that the consumer and general public can understand.
• The smart integration of tools and methods that quantify RE and deliver sustainable solutions, named in this paper Circular Economy Engineering (CEE).

MARKUS A. REUTER | Curriculum

Director at Helmholtz Institute Freiberg for Resource Technology (since Sept 2015).
Education: Honorary Doctorate (Dr. h.c.) University of Liège (Belgium); D.Eng. & PhD Stellenbosch University (South Africa); Dr. habil. RWTH Aachen (Germany). Industry: (i) Chief Technologist Ausmelt Australia & Director Technology Management at Outotec Finland 2006-2015 (Ausmelt acquired by Outotec 2010); (ii) Mintek (leading furnace control group) & (iii) Anglo American Corporation (ZA).
Academic: Professor at TU Delft (Netherlands) 1996-2005. Holds honorary & adjunct professorships since 2005 @ (i) Technical University Bergakademie Freiberg (Germany); (ii) Aalto University (Finland); (iii) Central South University (China), and (iv) Melbourne University (Australia).
Publications: Main author - “Metrics of Material and Metal Ecology” (Elsevier); Co-editor & author-“Handbook of Recycling” (Elsevier) (1st Publication Prize 2014 from International Solid Waste Association) & Lead author-United Nations Environmental Protection (UNEP) report (2013): “Metal Recycling: Opportunities, Limits, Infrastructure” (>400,000 downloads since May 2013), Publications in Academic Journals, Conference proceedings, Encyclopedias (see www.researchgate.net/profile/Markus_Reuter3 for details).
Recent awards: 2016 TMS EPD Distinguished Lecture Award (USA) & 2015-2016 SME Henry Krumb Lecturer (USA).

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The market globalization, the increase of the competitiveness of the emerging economies, the scarcity of natural resources, the growing cost of commodities and energy, together with a difficulty in recruiting skilled human resources, are pressing the manufacturing sector and the services industry in Italy and in Europe.

The emerging and digital technologies probably constitute the opportunity to maintain the necessary competitiveness on the market in relation to a new business model approach, a revised company investment, a reduction of the fixed costs and the risk slitting up.

MARCO TAISCH | Curriculum

Marco Taisch is Full Professor at Politecnico of Milano, where he teaches Advanced and Sustainable Manufacturing and Operations Management. Vice-rector for Placement, he was director of the MBA Executive and of the International MBA of MIP-School of Management of Politecnico of Milano. He was chairman of Working Group on Advances in Production Management Systems (APMS) of the International Federation for Information processing (IFIP), member of the International Federation for Automatic Control (IFAC), senior member of the Institute of Industrial Engineer (IIE) and other IEEE societies. He coordinates the Manufacturing Group of Politecnico of Milano, constituted by 40 people, engaged in topics afferent to design and management of manufacturing systems and operations with a specific focus on sustainability and energy efficiency in the manufacturing sector and the industrial services, product and asset life cycle management, and with a recent focus on Cyber-Physical Systems, IoT, Smart Manufacturing and Industry 4.0.

He has published four books and more than 130 works on international journals and conference proceedings. He has participated in more than 15 European research projects with important research centres (ETHZ, EPFL, TU Darmstadt, TU Braunschweig, Chalmers University) and leading companies (ABB, BMW, Bosch, Comau, FCA, Rolls-Royce, Schneider Electric, Siemens, SKF, Volkswagen, Whirlpool), with an overall financed budget of over 11 million Euros since 2009. Since 2002, he has been particularly engaged in the analysis of technological trend, setting up technological roadmaps and technology foresight on productive systems for the European Commission. In such context he is a member of the PPP board of Factory of the Future. Furthermore he is member of the Management Control committee of the National Cluster of the Intelligent Factory. He is founder and scientific chairman of the World Manufacturing Forum (www.worldmanufacturingforum.org), international event leading the definition of the manufacturing agenda.
He is president of Holonix, a spin-off of Politecnico of Milano, involved in the management of the product life cycle am om the IoT technologies for the manufacturing sector.

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The twin LIGO detectors have successfully completed the first gravitational wave search after a major upgrade. We will highlight the features of this new generation of detectors and overview the first direct detections of gravitational wave signals by the LIGO Scientific Collaboration and the Virgo Collaboration. These discoveries have started a new era in fundamental science and astrophysics, making gravitational wave astronomy a reality. Upcoming observations by LIGO-Virgo detectors will soon unveil new horizons and pave the way for unprecedented multimessenger observations of astrophysical phenomena.

GIOVANNI ANDREA PRODI | Curriculum

Giovanni Andrea Prodi is associate professor in experimental physics at the University of Trento. He is Coordinator of the Data Analysis activities of the Virgo Collaboration and co-chair of the joint Data Analysis Council with the LIGO Scientific Collaboration. His research group gave a direct contribution to the first detection of gravitational waves. Prodi is contributing to the development of gravitational wave detectors and of related data analysis methodologies since 25 years. His scientific interests include experiments on quantum noise limits to precision measurements and he is currently participating to experimental validations of the Heisenberg Uncertainty Principle against the possible deviations predicted by quantum models of gravity.

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Numerical simulations have progressively expanded their application scope, deepened the investigation capability and increased in accuracy. Simulations and Computer experiments are used in the design phase of almost any system to verify and validate as early as possible requirements under the entire range of known physical laws and conditions in special way in absence of physical prototypes. This capacity of handling the complexity is typically handled by highly trained analysts, formed through specific academic and professional curricula, by specific software applications. CAE effort typically produces highly focused deliverables which are intended to be integrated into the other documented evidences highlighted during the development and re-used during the overall system life-cycle.

Virtual and physical simulations need to underlie on standards which foster a flaw-less iterative information exchange, mutual validation and continuous improvement. The uncertainty treatment of these two conjunct approaches needs however careful evaluations for each application. One of the key success factors to extract the required amount of value for successful systems is to integrate the CAE analysts in the Systems Engineering community. Their models and virtual experiments will so be designed within the common ontology, methodologies and planning of the project team and stakeholders. This effort is driven by Model Based Systems Engineering. The communication will so get KISS. The delivered information, instead of remaining isolated engineering application gems in a flat "everything as usual" verification and validation approach, will be nestled into a successful system for the overall community.

CARLO LEADRI | Curriculum

Dott. Ing. Carlo Leardi graduated 1989 in electronic engineering in Genova Italy. His professional background starts with quality assurance responsibility evolving in the last years to full verification, validation and testing commitment within complex systems development deployment projects in the following areas: automotive, freight railways and packaging industry. As a passion before and today as a full job, he is dealing with Quantitative Systems Engineering on a day-to-day application and coaching of a full range of statistical and simulation methodologies supporting the decisional process. He published several articles in Engineering and Systems Engineering journals. He is one of the founders and past President of the INCOSE Italian Chapter and of AISE. He teaches in the Systems Engineering Masters in Tor Vergata and ForteMare in La Spezia.

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Cyber-physical Systems of Systems (CPSoS) are large physical systems with many interacting elements that are managed, controlled and monitored by distributed interconnected computer systems. These systems, from railway systems to large production sites, are vital for the welfare of the European citizens. They are characterized by distributed control, supervision and management, partial autonomy of the subsystems, dynamic reconfiguration of the overall system on different time-scales, continuous evolution of the overall system during its operation and the possibility of emerging behaviours. The CPSoS Project (www.cpsos.eu) has performed extensive consultations with industrial and academic experts and has identified three core research and innovation areas for Cyber-physical Systems of Systems: Distributed, reliable and efficient management of CPSoS, Engineering support for the design-operation continuum of CPSoS, and Cognitive CPSoS.

In the presentation, we will focus on the distributed management of CPSoS and explain the challenges in this domain for the examples of electric vehicle charging and coordination of petrochemical production sites. Distributed management methods that do not employ a centralized optimization instance will be presented: population control and market-based coordination of systems that have to balance production/consumption networks. For the validation of such management and control strategies, new flexible modular simulation and validation framework for cyber-physical systems of systems has been developed within the EU project DYMASOS (www.dymasos.eu).

SEBASTIAN ENGELL | Curriculum

Sebastian Engell obtained the Dipl.-Ing. degree in Electrical Engineering from Ruhruniversität Bochum in 1978 and a Dr.-Ing. degree and the Habilitation in control from the University of Duisburg, Germany, in 1981 and 1987.
After working for the Fraunhofer Institute IITB in Karlsruhe, Germany as a group leader in process control and production scheduling from 1986 to 1990, he joined Dortmund University in 1990 as a Full Professor for Process Dynamics and Operations in the Department of Biochemical and Chemical Engineering at TU Dortmund.
2002-2006 he was Vice-Rector for Research of TU Dortmund and in 2005 he was appointed Fellow of the International Federation of Automatic Control.
2012 he received an ERC Advanced Investigator Grant for the project MOBOCON: Model-based optimizing control - from a vision to industrial reality.
He is leading the European project DYMASOS on distributed management and optimization of physically coupled systems of systems as well as the Support Action CPSoS which defined a research agenda for cyber-physical systems of systems. He currently is the President of the European Control Association EUCA.

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Abstract

Flow control is an important subject from both the scientific and the engineering points of view. In the recent literature, a growing number of research papers have been dedicated to applying the techniques of linear stability and sensitivity analysis, usually employed for the characterization of flow instabilities, to the design of flow controls. In particular, sensitivity analysis is the key ingredient for the control design and it is carried out efficiently using adjoint-based methods. The same methods are typically used in gradient-based constrained optimization problems as they allow an efficient evaluation of the gradient of a cost function when the number of optimization parameters is large. Thus, the tools needed for sensitivity analysis are often already available in existing open-source and proprietary codes even if they are mainly used for optimization.

Stability and sensitivity analysis can be rigorously applied to relatively simple flow regimes, usually observed at low values of the flow Reynolds number, and for this reason they have been developed and typically applied to problems of pure academic interest. However, in recent years an intense research activity is being aimed at extending the same tools to complex flow cases in which large-scale flow instabilities are observed. This happens in several flows of engineering interest. To cite two examples which will be discussed in some detail here, we can mention the instabilities in the turbulent wakes of bluff bodies and wind turbines. The interest for complex flows has also pushed the researchers to extend in a simple way the numerical methods related to these techniques to open-source or commercial complex codes. As stated above, similar methods have already been implemented in certain codes. In cases in which an adjoint solver is not available, techniques for using existing codes as black-boxes are also proposed, thus avoiding ad-hoc implementations.
Although the methods considered here can be applied in different fields and not only in fluid dynamics, the subject of this presentation may seem to be very specific since it focuses on particular techniques which can be applied to a sub-class of flow controls. However, this is also a paradigmatic example of how a specific know-how, which has been developed in decades of academic base research, starts to migrate to engineering applications.

SIMONE CAMARRI | Curriculum

Simone Camarri is Associate Professor in Fluid Dynamics at the University of Pisa, where he teaches Gasdynamics and Computational Fluid Dynamics. He graduated in Aerospace Engineering in 1999 and he completed his PhD in 2003 at University of Pisa with a thesis on numerical methods and mathematical models for fluid dynamics.
His main research interests are in turbulence modeling, reduced-order models for fluid dynamics, bluff-body aerodynamics, hydrodynamic stability, flow control, numerical methods and high-performance computing for fluid dynamics. He received the “young scientist award” Euromech prize in 2006 and the Junior AIMETA Award in 2009. He has led several HPC projects dedicated to massively parallel simulations, including a Prace project in 2013. He is author of several publications on leading international journals in fluid dynamics.

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The 26th of June 2016 have been inaugurated the New Canal of Panama. This 5.2 billions dollars work permits the transit of the Post-Panamax ships between Atlantic and Pacific Ocean, allowing the countries of the South Eastern America, rich of raw materials, to be fully connected to the Far-East impetuous economies. The winning consortium for the construction, GUPC (Sacyr Vallehermoso S.A., Salini Impregilo, Jan De Nul n.v., Constructora Urbana, S.A.) had entrusted to CIMOLAI SPA the fabrication, the sea and ocean transports, the overland transports, the lifting operations for site assembly, the testing and commissioning of the sixteen gates, eight on the Atlantic side and eight on the Pacific side, for an overall weight of 52000t. Due to structural quality requirements, among the others fatigue and water proof weldings, each of the 2500t to 4000t gate was completely constructed in Italy and carried in groups of four to Panama, with Heavy Transport Vessels crossing the Atlantic Ocean with nominal design waves of 7.67m. This and other challenges had engaged Cimolai design teams in front of the world in this spectacular once on one hundred year event.

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With proven expertise on the design and provisioning of highly vertical IT solutions, E4’s comprehensive range of hardware, software and services allow for significant performances increase at a fraction of the time in a number of Manufacturing workloads.

This overview will highlight the main benefits deriving from the implementation of hardware commodity running on specific codes for simulation and high performance computing. From Shared-memory computing to Storage for HPC, to more standard clusters and workstations, the outline will illustrate the codes’ best-practice when running CAE applications , as well as describe some real case scenarios.

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Industry-academia partnership is crucial for the training of postgraduate students. This is particularly true in the highly demanding sector of ceramic production, where barriers to intersectoral mobility have to be overcome for the enhancement in the quality of education for graduate students involved in doctoral programmes.

An important target in this industral field is the achievement of nearly-constant density and residual-stress fields throughout the a ceramic green body. This is necessary for producing high­quality and high-performance ceramics. The use of computational tools for virtual prototyping of molds and processes helps to accelerate development and to decrease costs. Possible design improvements are particularly advantageous for the production of large green bodies with complex geometries.
Through a novel industry/academia partnership funded by the Euroean Community, post graduate students have developed a novel constitutive models for ceramic powder compaction, which include: a new formulation for elastic behavior of the powder phase, a modelling of the compaction law, and of elastic stiffening. This new computational model has been calibrated on uniaxial compaction experiments and triaxial compression data for Martoxid KMS 96 alumina powder. Once the model has been calibrated, the parameterization has been succesfully used to predict the compaction behavior of the alumina powder in the formation of green bodies.

Acknowledgement:
The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme FP7/2007-2013/ under REA grant agreement n? PITN-GA-2013-606878-CERMAT2.

DAVIDE BIGONI | Curriculum

Professor Davide Bigoni is a mechanician working in material modeling (nonlinear elasticity, damage, elastoplasticity, visco- and thermo- plasticity, with applications to ceramic materials, granular media, composites, metals, and biomaterials), wave propagation in solids (with applications to metamaterials), fracture mechanics (with applications to porous media, and rock–like materials) and structural mechanics (with an emphasis on bifurcation and instability). He has been awarded an ERC advanced grant in 2013.
Currently Davide Bigoni holds a full professor position at the University of Trento (Italy), where he is leading a very active group in the field of Solid ad Structural Mechanics. He has authored or co-authored more than 100 journal papers and has published a book from Cambridge University Press. He was elected in 2009 Euromech Fellow (of the European Mechanics Society), has received in 2012 the Ceramic Technology Transfer Day Award (of the ACIMAC and ISTEC-CNR), and in 2014 he has received the Doctor Honoris Causa degree at the Ovidius University of Constanta. He is co-editor of the Journal of Mechanics of Materials and Structures, is associate Editor of Mechanics Research Communications and member of the editorial boards of: Archives of Mechanics, International Journal for Computational Methods in Engineering Science and Mechanics, Journal of Elasticity, Journal of the Mechanical Behavior of Materials, Acta Mechanica Sinica, and International Journal of Solids and Structures. He is reviewer for more than 100 international journals. He is vice chair of the panel PE8 for the European Research Council Starting Grants, panel member: for the Swiss National Science Foundation Starting Grants, for the Excellence Initiative funded by the Government of Spain, and for the Romanian National Council for Development and Innovation. He is reviewer for the Deutsche Forschungsgemeinschaft, for the EPSRC Research Grants (UK), for the Irish Research Council, for the Research Council of Norway, for the Technology Foundation STW of Netherlands, and for the Israel Science Foundation.
More details can be found at www.ing.unitn.it/~bigoni

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With the increasing concentration of large storage and HPC facilities, either in Public or Private Clouds, moving data to and from the user’s desktop is getting more and more challenging. The availability of powerful graphics cards in the (private or public) Clouds enable moving the engineers' workstation seamlessly into the Cloud realizing the Virtual Workstation. The virtual workstations together with storage and HPC enable the full support for post-/pre-processing with the full performance. In this talk we’ll discuss why more and more often, companies move interactive jobs, including analysis, design and visualization tools, near the HPC resources.

We’ll show how NICE DCV enables this remote mode of operation, moving pixels in place of large files, thanks to the GPU resources now increasingly available in different kinds of virtualized environments.

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The topic of the lecture is devoted to the ecological consequences of the rocket and space human activity at the environment of his habitation. Attention is focused on infestation of near-Earth space by debris and infection of the Earth's surface rocket fuel at emergency launches of the rockets.
As a tool for assessment and prediction of the effects these processes proposed to simulate their by the software based on the finite element method. The analysis of the dynamics of the interaction of high-speed space debris with the shell of spacecraft allows us to set the optimum combination its layers, providing crushing particle to safe fragments.

Simulation of fracture the tank with fuel for rocket-carrier allows us to determine the zones of spreading its toxic components along the earth surface. The great complexity in analysis of processes such kind requires the using of cluster computing systems.

VIKTOR I. POGORELOV | Curriculum

Education:
On leaving school with honours in 1957 entered Leningrad Institute of Mechanics, Faculty of Mechanical Engineering by specialty aircraft. Received MS with honours in 1963. In 1964-67 worked on a doctoral dissertation in Leningrad Institute of Mechanics and in 1968 received Ph.D in Fluid Mechanics. The theme was devoted to the application of numerical methods for the calculation of supersonic jets.
During graduate studies took a refresher course in mathematics for engineers at the Leningrad State University in the Mathematics and Mechanics Faculty (1963-1966). In 1998 received Doctor of Science Degree in Mechanical Engineering at the St.Petersburg State Technical University (BSTU). The subject of the doctoral dissertation was Simulation modeling of coupled problems of gas dynamics.
Experience:
1996- to present: Full Professor at Rocket Science Department in BSTU, Faculty of Rocket and Space technology.
1998-to present: part time Full Professor at Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, Department Computer Design.
1994 to 1999: Head of the Department of Information and Computer Mathematics, Professor, Leningrad State Regional University (LSRU).
1968 to 1994: Junior Researcher, Lecturer, Senior Lecturer, Associate Professor.
Research area:
1. Finite Element Method.
2. Multidisciplinary Analysis.
3. Thin-walled structure.

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The RBF4AERO project is properly conceived to tackle all the aspects related to aircraft numerical design and optimization by making the CFD model parametric through an innovative shape optimization tool based on a high-performance meshless morphing technique. This technique is founded on Radial Basis Functions (RBFs) theoretical approach which offers a number of distinct advantages over the more traditional optimization approaches. This new optimization methodology will guarantee very fast and highly detailed CFD optimization analyses such to significantly reduce costs of optimization of aircraft aerodynamics without losing accuracy or domain extent. The final goal of the Project is the development of the RBF4AERO Benchmark Technology, namely a dedicated numerical platform and strategy capable to allow aeronautical design engineers to build up the novel optimization environment by using their own numerical models and computing platforms, and achieve the results of multi-objective and multi-disciplinary optimization studies in a dramatically shorter time with respect to current practices, and with no need to face with typical limiting trade-off constraints. Besides, the RBF4AERO numerical platform enables to solve other relevant aircraft design studies such as FSI and icing growth in an original fashion, and proposes a challenging CFD optimization technique that foresees the adjoint-morphing coupling.

Relevant impact is then expected in the ever-growing technological demand posed by aeronautical manufacturers in relation to the performance and reliability of aircrafts constituting components. The RBF4AERO Project is funded by the EU Seventh Framework Programme (FP7/2007-2013) under GA n° 605396.

EMILIANO COSTA | Curriculum

Dr. Emiliano Costa is the coordinator of the EU FP7 project RBF4AERO. He graduated in Mechanical Engineering (thesis title: “Aero-acoustic analysis in the automotive field”) and gained PhD in Energy and Environment Engineering (thesis title: “Advanced FSI analysis within parallel ANSYS Fluent by means of an UDF programmed explicit large displacement FEM solver”) at the University of Rome Tor Vergata.
He worked as a researcher in the HPC center CASPUR (today CINECA), as a CFD designer in the university spin-off SCIRE and as a CAE expert consultant for different private firms. Since October 2007 he has been working for D’Appolonia SpA and he is currently member of the “Industrial design & CAE” team as Senior Project Engineer. He has a considerable industrial experience in simulation driven modeling and optimization, and numerical methods design particularly in CFD and structural FEM. Moreover, he has a longstanding experience in European Commission and Italian Defense research projects participation as proposal writer, CAE-based analyses responsible as well as project coordinator.
He is active in the scientific community as author of papers and reviewer for specialized journals. The main topics which he has worked in the last years are blast, FSI (Fluid-Structure Interaction) and the application of mesh morphing techniques in simulation-based design and optimization.