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- W2145629444 abstract "Rotorcraft vehicle design is a complex process requiring interactions and exchange of information among multiple disciplines such as fatigue, strength, propulsion, noise, safety, maintenance, manufacturing, etc. Simulation models are employed for assessing and potentially improving a vehicle’s performance in individual technical areas. The vehicle’s characteristics influence the performance in all different attributes. Challenges arise when designing a vehicle for improving mutually competing objectives, satisfying constraints from multiple engineering disciplines, and determining a single set of values for the vehicle’s characteristics. It is of interest to engage simulation models from the various engineering disciplines in an organized and coordinated manner for determining a design configuration that provides the best possible performance in all disciplines. This paper presents an approach that conducts optimization analysis for a complex system by coordinating operations and exchange of data and information through a network of optimizations. The presented approach provides an organized and seamless environment that captures the implications of design changes from a particular discipline to all other disciplines. It is possible to share design variables among disciplines and thus identify the overall direction that design variables should follow based on objectives and constraints from multiple and often mutually competing requirements. The multi-level optimization algorithm that drives the complex system design is presented first. A rotorcraft example that demonstrates the operation of this integrated design environment is discussed. The mass of the gearbox support frame is minimized while at the same time the performance in structural acoustics and crashworthiness is optimized." @default.
- W2145629444 created "2016-06-24" @default.
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- W2145629444 date "2010-06-26" @default.
- W2145629444 modified "2023-09-26" @default.
- W2145629444 title "Rotorcraft Gearbox Foundation Design by a Network of Optimizations" @default.
- W2145629444 cites W2015322860 @default.
- W2145629444 doi "https://doi.org/10.2514/6.2010-9310" @default.
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