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manuscript_Stragiotti.bbl
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\field{abstract}{Strut-braced wing (SBW) is considered in the ongoing ONERA research project ALBATROS as one of a potential fuel-saving transport aircraft configuration. Although not a new concept [1] (several aircraft such as the Hurel-Dubois HD-34, 1956, have used this concept), it has recently received renewed interest since [2][3][4][5][6][7][8][9]. Indeed, the structural strut enables a reduction of the wing weight thanks to the reduction of the bending moment to be sustained by the wing box. The presence of the strut therefore enables to increase the wing aspect ratio, which results in direct aerodynamic performance gains, without considerable weight penalty as it is the case with conventional cantilever wings. The ALBATROS project aims at evaluating the potential of a strut-braced wing concept to improve the aero-structural efficiency of transonic transport aircraft. For that, specific studies are carried out to investigate the potential gains and possible problems of the concept in term of aerodynamics, structures and flight mechanics.}
\field{title}{Investigation of a {Strut}-{Braced} {Wing} {Configuration} for {Future} {Commercial} {Transport}}
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\field{title}{Multidisciplinary analysis and design of strut-braced wing concept for medium range aircraft}
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\keyw{Aerodynamic Coefficients,Aerodynamic Performance,Aircraft Conceptual Design,Aircraft Configurations,Aircraft Design,Cantilever,High Aspect Ratio,Structural Analysis,Transport Aircraft,Wing Configurations}
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\field{abstract}{Airbus has revealed three concepts for the world’s first zero-emission commercial aircraft which could enter service by 2035. These concepts each represent a different approach to achieving zero-emission flight, exploring various technology pathways and aerodynamic configurations in order to support the Company’s ambition of leading the way in the decarbonisation of the entire aviation industry.}
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\field{booktitle}{3rd {AIAA} {Spacecraft} {Structures} {Conference}}
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\field{shorttitle}{In-{Space} {Structural} {Assembly}}
\field{title}{In-{Space} {Structural} {Assembly}: {Applications} and {Technology}}
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\keyw{High Definition Space Telescope,Human Exploration Destination Systems,Infrared Telescopes,International Space Station,Planar Truss,Planets,Robotics,Solar Electric Propulsion,Spacecraft System,Structural Technology}
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\field{journaltitle}{arXiv:2008.11925 [cs]}
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\keyw{Computer Science - Multiagent Systems,Computer Science - Robotics,J.6}
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{en}%
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{Berlin, Heidelberg}%
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{Springer Berlin Heidelberg}%
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\field{isbn}{978-3-642-07698-5 978-3-662-05086-6}
\field{title}{Topology {Optimization}}
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{Cambridge University Press}%
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\field{abstract}{The paper presents a uniform method of treating a variety of problems of optimal design of sandwich structures. The design procedure consists of two steps: The integration of an optimality condition, which is a differential equation for the optimal displacement field that does not involve any design parameters, and the subsequent determination of the optimal distribution of elastic stiffness or plastic resistance from the usual differential equations of the structure. Optimal elastic design for maximum stiffness, maximum fundamental frequency, or maximum buckling load, and optimal plastic design for maximum safety are treated as examples.}
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\field{title}{Problems of {Optimal} {Structural} {Design}}
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\field{journaltitle}{Proceedings of the National Academy of Sciences of the United States of America}
\field{number}{3}
\field{title}{Optimality {Criteria} in {Structural} {Design}}
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\field{issn}{0045-7825}
\field{journaltitle}{Computer Methods in Applied Mechanics and Engineering}
\field{month}{11}
\field{number}{2}
\field{title}{Generating optimal topologies in structural design using a homogenization method}
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\field{urlyear}{2020}
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\field{year}{1988}
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\entry{bendsoe_optimization_1995}{book}{}
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{en}%
}
\list{location}{1}{%
{Berlin, Heidelberg}%
}
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{Springer Berlin Heidelberg}%
}
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\field{isbn}{978-3-662-03117-9 978-3-662-03115-5}
\field{title}{Optimization of {Structural} {Topology}, {Shape}, and {Material}}
\field{year}{1995}
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\field{issn}{1615-147X, 1615-1488}
\field{journaltitle}{Structural and Multidisciplinary Optimization}
\field{month}{4}
\field{number}{2}
\field{title}{A 99 line topology optimization code written in {Matlab}}
\field{urlday}{9}
\field{urlmonth}{1}
\field{urlyear}{2024}
\field{volume}{21}
\field{year}{2001}
\field{urldateera}{ce}
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\verb 10.1007/s001580050176
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\verb http://link.springer.com/10.1007/s001580050176
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\endentry
\entry{allaire_homogenization_1996}{article}{}
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{{hash=9b2489461a2e707ed8e2220ecf5fb5c9}{%
family={Belhachmi},
familyi={B\bibinitperiod},
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{{hash=71dd35ee6f0ac1ffa65812bb0ea5c7e8}{%
family={Jouve},
familyi={J\bibinitperiod},
given={François},
giveni={F\bibinitperiod}}}%
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{en}%
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\strng{namehash}{0f594d449ee7d56313be907c3c0e2b0a}
\strng{fullhash}{0f594d449ee7d56313be907c3c0e2b0a}
\strng{bibnamehash}{0f594d449ee7d56313be907c3c0e2b0a}
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\field{abstract}{This paper is devoted to an elementary introduction to the homogenization method applied to topology and shape optimization of elastic structures under single and multiple external loads. The single load case, in the context of minimum compliance and weight design of elastic structures, has been fully described in its theoretical as well as its numerical aspects in [4]. It is here briefly recalled. In the more realistic context of “multiple loads”, i.e. when the structure is optimized with respect to more than one set of external forces, most of the obtained theoretical results remain true. However, the parameters that define optimal composite materials cannot be computed explicitly. In this paper, a method to treat numerically the multiple loads case is proposed.}
\field{issn}{1250-6559}
\field{journaltitle}{Revue Européenne des Éléments Finis}
\field{month}{1}
\field{number}{5-6}
\field{title}{The homogenization method for topology and shape optimization. {Single} and multiple loads case}
\field{urlday}{9}
\field{urlmonth}{1}
\field{urlyear}{2024}
\field{volume}{5}
\field{year}{1996}
\field{urldateera}{ce}
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\range{pages}{24}
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\endentry
\entry{li_accelerated_2020}{article}{}
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{{hash=ebf6a7335f287cd5be3f31fef0909fc0}{%
family={Li},
familyi={L\bibinitperiod},
given={Weichen},
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{{hash=65eddc3eafad476927e069af7723e43a}{%
family={Suryanarayana},
familyi={S\bibinitperiod},
given={Phanish},
giveni={P\bibinitperiod}}}%
{{hash=d23667ac0203644c62a6179e0cd9673d}{%
family={Paulino},
familyi={P\bibinitperiod},
given={Glaucio\bibnamedelima H.},
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\strng{bibnamehash}{7cbf2855bceed845e99b15a1fa0ffed6}
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\field{abstract}{We present a simple, effective, and scalable approach for significantly accelerating the convergence in Topology Optimization simulations. Specifically, treating the design process as a fixed-point iteration, we propose employing a recently developed acceleration technique in which Anderson extrapolation is applied periodically, with simple weighted relaxation used for the remaining steps. Through selected examples in compliance minimization, we show that the proposed approach is able to accelerate the overall simulation several fold, while maintaining the quality of the solution.}
\field{issn}{0093-6413}
\field{journaltitle}{Mechanics Research Communications}
\field{month}{1}
\field{shorttitle}{Accelerated fixed-point formulation of topology optimization}
\field{title}{Accelerated fixed-point formulation of topology optimization: {Application} to compliance minimization problems}
\field{urlday}{11}
\field{urlmonth}{1}
\field{urlyear}{2024}
\field{volume}{103}
\field{year}{2020}
\field{urldateera}{ce}
\field{pages}{103469}
\range{pages}{1}
\verb{doi}
\verb 10.1016/j.mechrescom.2019.103469
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\verb https://www.sciencedirect.com/science/article/pii/S0093641319305051
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\verb{url}
\verb https://www.sciencedirect.com/science/article/pii/S0093641319305051
\endverb
\keyw{Anderson extrapolation,Compliance minimization,Fixed-point iteration,Optimality criteria,Topology optimization}
\endentry
\entry{ferrari_new_2020}{article}{}
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{{hash=8ea05860eca5cf81174a397fc54c388e}{%
family={Ferrari},
familyi={F\bibinitperiod},
given={Federico},
giveni={F\bibinitperiod}}}%
{{hash=d76f1c09e8d8d06e1b7c3c254efeae1a}{%
family={Sigmund},
familyi={S\bibinitperiod},
given={Ole},
giveni={O\bibinitperiod}}}%
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\list{language}{1}{%
{en}%
}
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\field{abstract}{Compact and efficient Matlab implementations of compliance topology optimization (TO) for 2D and 3D continua are given, consisting of 99 and 125 lines respectively. On discretizations ranging from 3 ⋅ 104 to 4.8 ⋅ 105 elements, the 2D version, named top99neo, shows speedups from 2.55 to 5.5 times compared to the well-known top88 code of Andreassen et al. (Struct Multidiscip Optim 43(1):1–16, 2011). The 3D version, named top3D125, is the most compact and efficient Matlab implementation for 3D TO to date, showing a speedup of 1.9 times compared to the code of Amir et al. (Struct Multidiscip Optim 49(5):815–829, 2014), on a discretization with 2.2 ⋅ 105 elements. For both codes, improvements are due to much more efficient procedures for the assembly and implementation of filters and shortcuts in the design update step. The use of an acceleration strategy, yielding major cuts in the overall computational time, is also discussed, stressing its easy integration within the basic codes.}
\field{issn}{1615-1488}
\field{journaltitle}{Structural and Multidisciplinary Optimization}
\field{month}{10}
\field{number}{4}
\field{title}{A new generation 99 line {Matlab} code for compliance topology optimization and its extension to {3D}}
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