Multidisciplinary and Multi-Objective Optimization Considering Aircraft Program Cost and Airline Network

Fregnani, Jose A. T. G.; Mattos, Bento Silva de; Hernandes, José Antonio

doi:10.2514/1.d0190

Cited by 4 publications

(8 citation statements)

References 28 publications

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“…[A] • {S} ≤ 0 (116) [B] • {S} = 0 (117) where [A] contains the gradients of inequality constraints only if they are active (with the safety margin term θ from Equation ( 109) dropped), and [B] contains the gradients of the equality constraints.…”

Section: Methods Of Feasible Directions and Modified Methods Of Feasi...mentioning

confidence: 99%

“…This may not be the case for regional airplanes, which perform the cruise phase is shorter when compared with long-haul airplanes. This type of airplane should be optimized for the airline network they will operate [17]. Table 2 shows the average stage length flown in the United States of some major airlines [18].…”

Section: The Quest For High Aspect-ratio Wings and New Aircraft Confi...mentioning

confidence: 99%

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Model-based and Signal-Based Inverse Methods

2022

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The engineering sector drives and enables the development of a country. The formation of an engineer allows a technical capacity to evaluate, plan, design, suggest and apply all possible techniques in search of the best construction of a technological equipment. Currently, the engineer must be more and more prepared to solve existing problems in various sectors of society. It is through it that societies grow in search of progress. The recognition of engineering and the training of new professionals increases every year in Brazil. In the 2000s, the University of Brasília (UnB) went through an expansion process, resulting in the implementation of the new UnB Engineering Campus in the city of Gama (UnB-Gama, FGA). Five new undergraduate courses were created: Aerospace Engineering, Automotive Engineering, Electronic Engineering, Energy Engineering and Software Engineering. The UnB Gama Campus project converges to increase the education level of the Brazilian population, especially in the five areas of engineering activity, all in line with current national public policies, aimed at expanding the population's access to quality higher education in the country. Following the high quality teaching line, the UnB-Gama campus has the Graduate Program in Integrity of Engineering Materials (PPG-Integridade). The program has the following lines of research: Dynamics and Vibrations, Fatigue, Structural Materials, Biomaterials, Structure Fluid Interaction and Numerical Simulation of the Mechanical Behavior of Materials. This book series is an initiative of PPG-Integridade -UnB, organized as a collaborative work involving researchers, engineers, scholars, from several institutions, universities, industry, recognized both nationally and internationally.Beside the high technical quality and relevance of the topics covered in the books, this series will enable an essential internationalization of the research currently developed within the University of Brasília. Several authors from different countries also contributed to these books, enabling greater interaction between national and international research groups. This internationalization raises the level of academic education for new professionals in the field of engineering, in addition to more advanced scientific research and technological development. Additionally, this book series features a strong contribution from the industrial sector. Several professionals from different companies collaborated with the writing of some chapters in the three volumes that make up this series. These initiatives are of great strategic importance, as they allow the grouping of different technical capabilities. On the part of companies in the sector, with knowledge of market demands, and on the part of universities, by adding the technical-scientific knowledge of their team of researchers to the improvement of innovative products and services. This book should be appreciated by anyone in need of knowledge of Materials Integrity. The completeness of Discrete Modeling and Inverse Methods theory c...

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Section: Methods Of Feasible Directions and Modified Methods Of Feasi...mentioning

confidence: 99%

Section: The Quest For High Aspect-ratio Wings and New Aircraft Confi...mentioning

confidence: 99%

Model-based and Signal-Based Inverse Methods

2022

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“…An in-house generic turbofan engine model is also part of the MDO framework [40]. It is possible to analyze the performance, emissions, and operational costs for missions inside a complex airline network with different takeoff weights or block distances [41]. The fuel storage capacity is precisely calculated considering the actual airplane geometry and structural layout.…”

Section: Introductionmentioning

confidence: 99%

“…A great deal of computational analysis is required to obtain optimum configurations to satisfy many objectives and design constraints. Disciplines such as aerodynamics, propulsion, flight mechanics, structures, and aeroelasticity, among others, are frequently considered in the optimization framework to obtain more realistic geometries of flight vehicles and, recently, the addition of flight profile and mission analysis has been added [28]. Nowadays, many design variables (and types) may be employed, and advanced optimization algorithms that enable complex models of the aeronautical disciplines may be considered.…”

Section: Introductionmentioning

confidence: 99%

“…The case is even worse for multi-disciplinary optimizations, which deal with high-dimension problems that may reach thousands of design variables and their relationships. However, surrogate techniques have been increasingly adopted to model the physics with enough precision while at the same time reducing the computational time of complex and heavy calculations in MDO frameworks [28] [29].…”

Section: Introductionmentioning

confidence: 99%

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Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

Mattos¹,

Fregnani²,

Jorge³

2022

Uncertainty Modeling: Fundamental Concepts and Models

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The present work describes an airliner design platform that has been developed over several years and its application to design airliners based on an efficiency index developed by the authors of the present work. Among other characteristics, the design tool can handle airplane geometries with detail and count on a unique and accurate neural network system to predict aerodynamic coefficients. A new feature for product classification was incorporated into the framework. It is based on entropy statistics and was calibrated for jet transport airplanes and the results of classification are analyzed in the present work. The design of a Middle of Market airplane was then carried out with the classification provided by entropy statistics set as a constraint. Middle of the Market is a term that was established to address the commercial aircraft market segment that encompasses long-haul sectors from 3500 nm to 5000 nm, and airplanes with single-class passenger capacity between 220 and 250. Until now, this segment was not extensively explored, and some airlines have been showing interest to purchase airplanes better suited to it = this category. Multi-objective optimizations were carried out to determine the best aircraft design that fits into this concept's range and capacity specifications. The unsupervised learning algorithm based on entropy statistics was applied for airplane classification into four labels, classic, niche, failure, and breakthrough designs. A higher fidelity engine model optimization task was also carried out to search for optimal classic designs. In addition, a robust optimization considering a fuel price variation on Direct Operating Cost was carried out. All results raised an important discussion about the benefits and drawbacks of a trijet configuration for transport airplanes with a capacity of over 200 passengers.

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Conceptual design of a middle-of-the-market airliner

de Mattos,

Fregnani

2023

CEAS Aeronaut J

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Multidisciplinary and Multi-Objective Optimization Considering Aircraft Program Cost and Airline Network

Cited by 4 publications

References 28 publications

Model-based and Signal-Based Inverse Methods

Model-based and Signal-Based Inverse Methods

Airplane Optimal Robust Design Combined with an Entropy-Statistics Unsupervised Learning Classification Algorithm

Conceptual design of a middle-of-the-market airliner

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