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Daniel Guggenheim School of Aerospace Engineering
Daniel Guggenheim School of Aerospace Engineering
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ItemAssessing the Impact of Mission Requirements, Vehicle Attributes, Technologies and Uncertainty in Rotorcraft System Design(Georgia Institute of Technology, 2002-06) Baker, Andrew Paul ; Mavris, Dimitri N. ; Schrage, Daniel P.This research provides a probabilistic design environment for the propagation of design uncertainty to the system level to assist in making more educated decisions in the early stages of design. This design uncertainty is associated with the key elements that are addressed in system design and which are captured in the appropriate design environment, namely mission requirements, vehicle attributes and technologies. The proposed environments are constructed using a metamodeling technique called Response Surface Methodology (RSM) and provide a model relating system-level responses to the mission requirements, vehicle attributes and technologies. The Mission Space Model is concerned with mission requirements exclusively and provides the ability to model an infinite set of missions. The Unified Tradeoff Environment (UTE) integrates the mission requirements, vehicle attributes and technologies in a single environment while allowing both deterministic and probabilistic analyses. The design environments and design methods proposed in this research are demonstrated for a rotorcraft of current interest, namely the Future Transport Rotorcraft, and probabilistic applications are presented. educated decisions in the early phases of complex system design.
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ItemSimultaneous Assessment of Requirements and Technologies in Rotorcraft Design(Georgia Institute of Technology, 2000-05) Mavris, Dimitri N. ; Baker, Andrew Paul ; Schrage, Daniel P.Recent emphasis in the design and acquisition of complex systems has focused on the requirements that drive the design process. Most fundamental to the rotorcraft designer is the effect that requirements have on the system design. Requirements drive initial design studies, procurement decisions, and ultimately operational effectiveness and cost. However, it is often the case that design processes (and designers) overlook the impact of changes and/or ambiguity in requirements and fail to understand the relationships between requirements, technologies, and the design space. Increasingly, the decisions made early in the design time line involve the choice of new technologies or combinations of new technologies that will ensure the system meets customer requirements. Providing the designer/decision maker with knowledge of these relationships enhances the ability to find a technically feasible, economically viable, robust solution for the customer. In this paper, the authors present a design environment for the simultaneous assessment of technologies, requirements and design space. The creation of this environment is described along with the tools for its implementation. Examples of the various design spaces are presented for a civil tiltrotor. The requirements space for the civil tiltrotor is further examined. Finally, the benefit of applying this environment to the Joint Transport Rotorcraft is discussed.
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ItemTechnology Infusion and Resource Allocation for a Civil Tiltrotor(Georgia Institute of Technology, 2000-01) Mavris, Dimitri N. ; Baker, Andrew Paul ; Schrage, Daniel P.The methodology presented in this paper is concerned with the ability to make informed decisions early in the design time line in order to provide a feasible, viable and robust system to the customer. Increasingly, the issues of affordability, uncertainty in design and technology impact assessment are shaping the modern design environment. Current methodologies and techniques are not able to properly handle these issues. The research presented here builds on the authors?previous work which described an appropriate probabilistic design environment that allows for design in the presence of uncertainty as well as the infusion and assessment of new technologies. This environment is an essential part of a design methodology referred to as the Technology Identification, Evaluation and Selection (TIES) method. The objective of this research is to provide a comprehensive, structured, and robust methodology for decision making in the early phases of rotorcraft design. In this paper the authors will describe in detail the steps that encompass the TIES methodology. Illustrative examples of techniques, methods and tools used during the methodology will be presented as applied to NASA? Short Haul Civil Tiltrotor.
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ItemImplementation of a Technology Impact Forecast Technique on a Civil Tiltrotor(Georgia Institute of Technology, 1999-05) Mavris, Dimitri N. ; Baker, Andrew Paul ; Schrage, Daniel P.The methodology presented in this paper is concerned with the ability to make informed decisions early in the design time line in order to provide a feasible, viable and robust system to the customer. Increasingly, the issues of affordability, uncertainty in design and technology impact assessment are shaping the modern design environment. Current methodologies and techniques are not able to properly handle these issues. The research presented here builds on the authors?previous work which described an appropriate probabilistic design environment that allows for design in the presence of uncertainty as well as the infusion and assessment of new technologies. This environment is an essential part of a design methodology referred to as the Technology Identification, Evaluation and Selection (TIES) method. The objective of this research is to provide a comprehensive, structured, and robust methodology for decision making in the early phases of rotorcraft design. In this paper the authors will present a brief summary of the probabilistic design environment and introduce the steps that encompass the TIES methodology. The majority of the paper will be devoted to applying the Technology Impact Forecasting portion of this method to NASA? Short Haul Civil Tiltrotor.
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ItemDevelopment of a Methodology for the Determination of Technical Feasibility and Viability of Affordable Rotorcraft Systems(Georgia Institute of Technology, 1998-05) Mavris, Dimitri N. ; Baker, Andrew Paul ; Schrage, Daniel P.This paper describes a probabilistic design approach which has been formulated from an affordability viewpoint for the assessment of rotorcraft systems. This method places emphasis on the ability to rapidly examine the design space, identify constraint violations and provides insight as to how the feasible design space could be enlarged through the infusion of new technologies. The paper also provides a rationale as to why a probabilistic design approach is needed to properly examine and facilitate these assessments. The steps required to assess and provide for a technically feasible and viable design space are also outlined. Furthermore, thoughts as to how this technique could be used to investigate and account for tool fidelity modeling, technology readiness impact and benefit/risk/cost tradeoffs are also presented. Descriptions of candidate statistical and probabilistic techniques such as the Response Surface Method, Robust Design Simulation and Fast Probability Integration are provided as needed. Finally, the steps needed for the implementation of this methodology are presented for the design of a notional Civil Tiltrotor Transport.
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ItemIPPD Through Robust Design Simulation for an Affordable Short Haul Civil Tiltrotor(Georgia Institute of Technology, 1997-04) Mavris, Dimitri N. ; Baker, Andrew Paul ; Schrage, Daniel P.Beyond the Bell/Boeing 609, the next step in civil tiltrotor evolution will most likely be a larger capacity vehicle (~ 40 passenger class) similar to NASA? vision of a Short Haul Civil Tiltrotor (SHCT). This vehicle will be designed, built and operated in an era being shaped by today? increased emphasis on affordability. This paper discusses the authors?views on the subject and outlines the steps taken to develop a new methodology which will allow a true assessment of the affordability of such a SHCT. Affordability will not be defined by cost metrics alone. Instead, it will be based on the concept of value and tradeoffs between cost and mission effectiveness; measured by maintainability, reliability, safety, etc. In addition, the motivation for this shift in design philosophy and the resulting need for knowledge to be brought forward in the proposed methodology is reviewed. Furthermore, this shift in knowledge calls for a paradigm shift in the design evolution process based on the realization that decisions made during the early design phases are not deterministic in nature and should therefore be handled probabilistically. The approach taken acknowledges this need and defines a suitable probabilistic design environment. The fundamental building blocks of this method are also outlined and discussed including key concepts, tools, techniques, and the approach taken to implement this process.