A Computational Design Engine for Multi-Disciplinary Optimisation with Application to a Blended Wing Body Configuration

Laban, M.; Arendsen, P.; Rouwhorst, W.F.J.A.; Vankan, W.J.

doi:10.2514/6.2002-5446

Cited by 27 publications

(16 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis compares the longitudinal center of gravity (cg) location with the longitudinal control capability of the aircraft through elevons (conventional design) or the thrust vectoring system (distributed propulsion design) based on two assessment criteria. These criteria draw in part on those used by the European MOB project [30]. The two criteria are evaluated at the approach flight phase.…”

Section: Stability and Controlmentioning

confidence: 99%

Multidisciplinary design optimization of blended-wing-body transport aircraft with distributed propulsion

Leifsson

Mason

et al. 2013

Aerospace Science and Technology

View full text Add to dashboard Cite

show abstract

Section: Stability and Controlmentioning

confidence: 99%

Multidisciplinary design optimization of blended-wing-body transport aircraft with distributed propulsion

Leifsson

Mason

et al. 2013

Aerospace Science and Technology

View full text Add to dashboard Cite

show abstract

“…At date, the cloud of points approach has successfully been used to define simple flat-panel discretization models for aeroelastic analysis [32], to provide the mesh seeds for highfidelity analysis grids [33], and panels definition for VSAERO [24] and another similar in-house developed panel code [34]. The cloud of points has also been used to support the automatic re-splining of the aircraft surfaces into the NLR proprietary CFD system ENFLOW [23].…”

Section: Cms For Aerodynamic Analysismentioning

confidence: 99%

“…no gaps between movable and wing surface), but has proved adequate to compute aerodynamic loads and derivatives, both using simple panel codes, such as VSAERO, and higher fidelity aerodynamic tools, such as ENFLOW, the NLR proprietary CFD simulation tool [23]. In fact, when the goal is not computing the flow through the wing/movable gap or around the cut off area of the movable, but to obtain a reasonable estimation of the overall pressure distribution, it is a common practice to model lifting surfaces with deflected movables just as continuous surfaces.…”

Section: Definition Of the Aircraft Movablesmentioning

confidence: 99%

“…Besides, response surfaces are an excellent means to visualize trade-offs, at least when the number of variables is limited. Gradientbased techniques were used instead, for the local optimization level, where sensitivity information was available and the number of variables was very large [23].…”

Section: The Role Of the Mmg In Distributed Mdo Processes: An Applicamentioning

confidence: 99%

See 1 more Smart Citation

Knowledge-based engineering to support aircraft multidisciplinary design and optimization

Rocca

Tooren

2010

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

This paper discusses structure and functionalities of a knowledge-based engineering (KBE) application, called multimodel generator (MMG), developed to support aircraft multidisciplinary design, analysis, and optimization. Designers can use the MMG as an advanced modelling tool to swiftly generate geometrical models of many and diverse aircraft configurations and variants, by combining and adjusting a limited number of parametric objects, called high-level primitives. Besides capturing the geometric aspects of the design, the MMG also has the capabilities to automate a large part of the lengthy and non-creative pre-processing activities involved in the design verification process. The proposed KBE application has demonstrated to be a valuable solution for some of the critical needs indicated by the multidisciplinary design and optimization community, namely a flexible and robust generative tool to increase the level of automation in aircraft design, including the development of novel configurations; the exploitation of high-fidelity analytical tools already in the early design phase; the management of the design activities across distributed networks of disciplines specialists.

show abstract

“…This method was studied by many scholars, such as Droegkamp [12], Bindolino [13], Laban [14], Hurlimann [15], and Sensmeier [16]. Such methods are generally based on finite element analysis to size the various components of the primary structure and compute their weight with material density and volume information [10].…”

Section: Introductionmentioning

confidence: 99%

Wing weight estimation considering constraints of structural strength and stiffness in aircraft conceptual design

Chen¹,

Mingqiang²,

Zhong³

et al. 2014

International Journal of Aeronautical and Space Sciences

View full text Add to dashboard Cite

According to the requirement of wing weight estimation and frequent adjustments during aircraft conceptual design, a wing weight estimation method considering the constraints of structural strength and stiffness is proposed to help designers make wing weight estimations rapidly and accurately. This method implements weight predictions on the basis of structure weight optimization with stiffness constraints and strength constraints, which include achievement of wing shape parametric modeling, rapid structure layout, finite element (FE) model automated generation, load calculation, structure analysis, weight optimization, and weight computed based on modeling. A software tool is developed with this wing weight estimation method. This software can realize the whole process of wing weight estimation with the method and the workload of wing weight estimation is reduced because much of the work can be completed by the software. Finally, an example is given to illustrate that this weight estimation method is effective.

show abstract

A Computational Design Engine for Multi-Disciplinary Optimisation with Application to a Blended Wing Body Configuration

Cited by 27 publications

References 0 publications

Multidisciplinary design optimization of blended-wing-body transport aircraft with distributed propulsion

Multidisciplinary design optimization of blended-wing-body transport aircraft with distributed propulsion

Knowledge-based engineering to support aircraft multidisciplinary design and optimization

Wing weight estimation considering constraints of structural strength and stiffness in aircraft conceptual design

Contact Info

Product

Resources

About