A modified variable complexity modeling for efficient multidisciplinary aircraft conceptual design

Nguyen, Nhu Van; Tyan, Maxim; Lee, Jae Woo

doi:10.1007/s11081-014-9273-7

Cited by 28 publications

(14 citation statements)

References 29 publications

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“…On the downside, MDF is based on fixed-point iterations, and as a result, it requires a full analysis cycle for every one of the global evaluations which in turn can be a very computationally expensive process when timedemanding analyses or complex disciplinary couplings are considered [3,5]. A common application of MDF in aircraft design is the decomposition of coupled disciplines, and the most typical example of this is the concurrent evaluation of the mission performance (fuel requirements) and the estimation of the total weight [12,16,25,37,45,50,109]. Accordingly, further uses of the MDF architecture include the decoupling between performance and propulsion [12,18,51], aerodynamics and stability [12,61], and lastly, structures and loads which is a very common requirement when an accurate aeroelastic state must be determined [32,35,36,45,60,88,90,92,110].…”

Section: Decomposition Architecturesmentioning

confidence: 99%

“…A multifidelity scheme which has been frequently implemented in MDO frameworks for aircraft design and has often shown promising results is to include one more high-fidelity processes in order to calibrate or enhance the predictions of the low-fidelity tools. The development methodology which is followed in these cases is to use the simple models to initially narrow down the design space and then to engage a set of detailed analyses in order to obtain more reliable calculations over a smaller region [26,109]. The main advantages of this approach is that it firstly enables a quick exploration of the design tradeoffs at a complete discipline and aircraft level [46,114], while secondly, it allows the consideration of unconventional configurations and the use of advanced physics in areas where this is truly needed [27,32].…”

Section: Multifidelity Schemesmentioning

confidence: 99%

See 1 more Smart Citation

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Παπαγεωργίου

Tarkian

Amadori

et al. 2018

International Journal of Aerospace Engineering

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The aim of this paper is to present the most common practices in multidisciplinary design optimization (MDO) of aerial vehicles over the past decade. The literature sample is identified through established internet search engines, and a stringent review methodology is implemented in order to ensure the selection of the most relevant sources. In this work, the primary emphasis is on the assessment of the state-of-the-art framework development strategies, while at a secondary level, the objective is to identify the possible improvement directions by evaluating the research trends and gaps. As an additional contribution, statistical studies are also provided, and it is shown how MDO of aerial vehicles has evolved in terms of problem formulation, disciplinary modeling, analysis capabilities, tool implementation, and general applicability. Given this foundation as well as the results of the review, this work concludes by presenting a roadmap for guiding academia and industry in respect to the application of MDO on aerial vehicles. Overall, the roadmap together with the literature review is not only expected to serve as a guide for newcomers into the MDO field but also as an elementary basis which will allow researchers to conduct additional studies in this important and constantly evolving area of design.

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Section: Decomposition Architecturesmentioning

confidence: 99%

Section: Multifidelity Schemesmentioning

confidence: 99%

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Παπαγεωργίου

Tarkian

Amadori

et al. 2018

International Journal of Aerospace Engineering

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“…Besides a large number of studies of product design had been made on the PLM like the product concept design, the detailed design, the production and etc. [35][36][37][38][39], but there was no relevant research on the stage of customer requirement analysis.…”

Section: 2requirement Analysismentioning

confidence: 99%

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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： The customer requirement modeling is a highly important part of a product development process for understanding the customers and market needs. But with the increasing of complexity of complex mechatronic products, it is necessary to involve multidisciplinary design teams, thus, the traditional customer requirements modeling for a single discipline team becomes difficult to be applied in a multidisciplinary team and project since team members with various disciplinary backgrounds may have different interpretations of the customers' requirements. This paper provides a new synthesized multidisciplinary customer requirements modeling method for obtaining and describing the common understanding of customer requirements and more importantly transferring them into a detailed and accurate product design specifications (PDS) to interact with different team members effectively. A case study of designing a high speed train verifies the rationality and feasibility of the proposed multidisciplinary requirement modeling method for complex mechatronic product development.Key words: complex mechatronic product, multidisciplinary customer requirements modeling, disciplinary specialty language dictionary, high-speed train 1.IntroductionWith the mass customization of product design and development, the individuality and diversity of customer requirements for a complex mechatronic product is ever increasing, the manufacturer enterprises are facing tremendous pressures and challenges to deal with the diverse and rapid changing customer and market requirements. The traditional "product-centric" design method for complex mechatronic products has been unable to adapt to the growing market competition, therefore, the enterprises should shift the design focus to the "customer-centric" design methods for complex mechatronic products. Customer requirement modeling thus becomes a highly significant part of a product development process and it also has been a research topic for years and used in the field of system and software development [1].The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2]. The requirement elicitation is to extract Biographical notesMA Xiaojie, born in 1986, is currently a PhD candidate at Institute of Advanced Design and Manufacturing,

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“…Generally, type 1 and type 2 can be used in local VF modeling approaches, type 2 can also be used globally by adopting global metamodels to approximate the scaling function Cðx; aÞ, e.g., Kriging scaling [20][21][22], RBF scaling methods [23][24][25], etc. These two types of VF metamodeling have been successfully applied to the field of design optimization, and type 3 is based on a deeper understanding of a process being modeled, which can be useful but is problem dependent.…”

Section: Support Vector Regressionmentioning

confidence: 99%

“…The main shortcoming of these approaches is that they are only suitable for local optimization problems [17][18][19]. While in global VF modeling approaches, the scaling function is approximated using global metamodels, e.g., Kriging scaling methods [20][21][22], RBF scaling methods [23][24][25] and Bayesian-Gaussian scaling methods [19,[26][27][28]. Since global VF modeling approaches can mimic the behavior of the system on the entire domain and cope with multiple optimum problems sophisticatedly, there has been widespread concern about these approaches [12,29].…”

Section: Introductionmentioning

confidence: 99%

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function

Zhou

Shao

Jiang

et al. 2015

Simulation Modelling Practice and Theory

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A modified variable complexity modeling for efficient multidisciplinary aircraft conceptual design

Cited by 28 publications

References 29 publications

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function

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