In the context of the development of commercial offers in increasingly fierce competition market, the following observations have been drawn: - for companies, the number of direct solicitations or bidding is increasing and bidders companies must streamline, systematize and make more reliable their offer definition process, - because of this increasing level of work, companies cannot longer realize detailed studies and then, take significant risks when the affairs are realized after acceptance. These two findings justify the requirement about a formalized bidding process aided by decision support tools in order to quickly propose ad hoc and precise offers with a high level of confidence. Therefore, the OPERA project is based on the hypothesis that an offer is composed of a technical solution associated with a realization project. It proposes: - the definition of a bidding process based on two key activities: (i) development of offers with regards to a global confidence indicator and (ii) risk analysis, - the development of decision making tools (OPERA platform) based on knowledge and experience intensive reuse for offers definition and risk engineering, - the definition of core concepts: (i) solution readiness, (ii) project maturity and (iii) confidences in order to define a global confidence indicator for an offer and then, reduce uncertainties and imprecision about its characteristics, - the exploitation of global confidence indicator for the multi-criteria selection of promising offers. In the OPERA project, when the confidence is higher and the risk assessment better, the effective realization of the affair will be much closer to the expected attempts. The imprecision and uncertainties about the offer characteristics (performance, delay, cost…) will be reduced. The bidder will have a higher confidence into the offer and potential negotiations will be easier to drive. From a scientific viewpoint, the OPERA project is based on four requirements about the study, the definition, the formalization and the validation of: - Four new key performance indicators (KPI) which characterize the confidence of an offer with different aggregation mechanisms, - Principles of exploitation of these four KPIs in order to take into account imprecision and uncertainties about offers characteristics and to support the multi-criteria selection, - The organization of experience and knowlede bases dedicated to risk associated with the definition of reasoning principles to exploit them, - Principles of selection of the offer to submit to the customer. The OPERA project is based on a well-balanced consortium composed of four industrial partners and three academic partners. The industrial partners are diversified following two activity sectors (services and systems development). The three academic partners are used to work together on research projects. The different prototypes which have been developed during the past years as well as the published scientific articles referenced into the web of science database are a proof of a high maturity level. The division of the project into five operational work packages, its 42-month duration and its agile development process based on four iterations lead to a low level of risk. In conclusion, the OPERA project proposes a methodology and a decision support tool which can support the bidding process. This tool, based on intensive exploitation of capitalized knowledge and experiences, will permit to develop offers and to evaluate them on original criteria and finally improve companies’ competitiveness.

The objective of this topic is to set up an industrial and fully automatic optimal design tool, integrating software identified by the Topic Leader, in order to reach TRL6 at the end of the project. This tool has to be dedicated to rotorcraft engine air intake analysis and able to handle multi-objective, multi-parameters and multi-points optimization on a given CATIA CAD. An effective aerodynamic design of the engine air intakes is essential for ensuring a proper air supply to the first stage compressor and thus an efficient behavior of the whole engine installation. However, its optimization has to deal with a lot of requirements and constraints, not always linked to the engine performance itself, but often aiming at improving conflicting criterions. For instance, the engine air intakes design will have some impact as regards the three following different issues: • Volume specifications • Helicopter manufacturer specifications, along with the airframe performance level required • Engine manufacturer specifications, along with the engine performance level required In order to achieve the task, optimization will take into account 3 flight conditions. Among all optimization strategy available, due to CFD solver limited capabilities for adjoint computations, a Surrogate Based Optimization approach is proposed. It allows use of gradient free and global optimization method. Two optimizations are planned during the task: one without Inlet Barrier Filter and a last without. The final objective is to improve flow solution at Air Intake Plane from a distorsion and pressure losses aspect.

As part of H2020 program, Clean Sky 2 aims at pushing forward the whole EU aeronautical sector to a worldwide prominent place as well as addressing ambitious targets in reduction of pollution and fuel consumption. Within the “Sustainable and Green Engine” Integrated Technology Demonstrator, WP 2 “Ultra High Propulsive Efficiency demonstrator for Short Medium Range Aircraft” aims to bring to market a new engine generation with large bypass ratios. The present call JTI-CS2-2018-CfP09-ENG-01-41 concerns the inherent problem of vortex ground ingestion into the fan during ground operating conditions with cross-wind. Its objective is to obtain a method able to predict the vortex properties based on degraded WTT instrumentation. The consortium proposes the project named InVIGO for Intake Vortex Ingestion in Ground Operation. Two partners are involved: ALTRAN, European leader on innovation and high-tech engineering consulting, as project coordinator, and in charge of CFD activities, the prediction method and the project coordination and CSTB, Scientific and Technical Center for Building specialized in experimental campaigns for buildings, structures, industrial equipment and vehicles, to perform the wind tunnel tests. This project is composed of three main activities: the first one is dedicated to the generation of a comprehensive database on vortex characteristics from WTT measurements and CFD simulations, the second one to the method development itself and its industrialization and the last one on management and scientific dissemination. The key strengths of our proposal are notably the following ones: • New approach with artificial intelligence applied to flow characterization of fan inlet • WTT campaigns on the whole ground vortex formation conditions • Strong expertise on CFD and numerical method development • Strong relationship between experimental and numerical simulation teams