Multidisciplinary topology optimization for reduction of sloshing in aircraft fuel tanks based on SPH simulation

Li, Baotong; Liu, Honglei; Zheng, Shuai

doi:10.1007/s00158-018-1995-2

Cited by 15 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other countries and regions, such as Europe, Japan, and Australia, a lot of research work on sensors and sensor networks has been carried out. The University of California at Berkeley proposes a method for reconstructing sensor locations using network connectivity, a data encoding model based on correlation, a method for reconstructing a track of moving objects using a sparse sensor network, and a continuous stream visualization method over time on a sensor network [17]. Lu et al have developed a wireless sensor network and a wireless sensor network simulation environment to examine various aspects of the sensor network [18].…”

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Zhao

Guo

2019

IEEE Access

View full text Add to dashboard Cite

Wireless sensor networks are an important part of the Internet of Things (IoT). For energyconstrained wireless sensor networks, research on topology control with energy saving is a difficult problem. The influence of topology on the overall performance of the network plays an important role, and the topology control algorithm plays a decisive role in the formation of the topology. Based on the research of hierarchical topology control algorithm, an improved algorithm based on energy-saving clustering algorithm (CAEC) is proposed. The algorithm changes the cluster area and performs communication stability by selecting cluster head nodes. The simulation experiments show that the clustering process of the CAEC algorithm is more reasonable than the LEACH algorithm, which prolongs the survival time of the network. The number of surviving nodes in the monitoring area, network energy consumption, and BS receiving data volume are different degrees of improvement during our study.

show abstract

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Zhao

Guo

2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The optimization of fuel tank structures for an aircraft wing tank, another possible approach that has been evaluated for instance in Li, Liu, and Zheng (2018), is out of the scope of this work. The general problem of aircraft ground handling at airports has also been addressed (Su et al, 2018; Tabares & Mora‐Camino, 2017), as well as the aircrafts refuelling from the point of view of employees' optimization (Carotenuto, Giordani, Salvatore, & Biasini, 2019).…”

Section: Related Workmentioning

confidence: 99%

Knowledge based approach to ground refuelling optimization of commercial airplanes

Plaza

Santos

2020

Expert Systems

View full text Add to dashboard Cite

This work aims to establish a general and optimized procedure for the initial refuelling of commercial airplanes, as this loading process is strongly related to safety and energy saving issues. The on‐ground refuelling is addressed as an optimization problem whose cost function involves expert knowledge about constraints and factors that influence the aircraft stability and performance. Several heterogeneous criteria (fuelling time, structural load, flow transfers, etc.) have been considered and weighted accordance to its importance in terms of stability. This allows us to adapt the strategy to any type and planned trip of the airplane. The priority is the positioning of the centre of mass of the civil aircraft within safety and manoeuvrability margins, and near the optimal position. Evolutive algorithms are applied, keeping feasible solutions by modifying genetic operators. As a case of study, the initial refuelling of a long range type commercial aircraft, the Airbus A330‐200, is analysed. Simulation results have proved this methodology to be efficient and optimal. Even more, this heuristic and general approach improves the traditional solution that follows a set of pre‐defined rules that are specific for each type of aircraft.

show abstract

“…The latter work incorporates buckling constraints. A subset of these works is devoted to the design of aircraft wingbox design: the method of Smith and Norato (2019a), which aims to find an optimal layout of ribs for the wingbox, and the method of Li et al (2018), in which the layout of ribs is fixed, and MMV is used to find the optimal design of holes in the ribs to minimize fuel sloshing. The recent work in Chu et al (2019) uses MMC to design periodic truss cores of sandwich panels with minimal compliance.…”

Section: Applicationsmentioning

confidence: 99%

A Review on Feature-Mapping Methods for Structural Optimization

Wein¹,

Dunning²,

Norato³

2019

Preprint

View full text Add to dashboard Cite

In this review we identify a new category of structural optimization methods that has emerged over the last 20 years, which we propose to call feature-mapping methods. The two defining aspects of these methods are that the design is parameterized by a high-level geometric description and that features are mapped onto a fixed grid for analysis. The main motivation for using these methods is to gain better control over the geometry to, for example, facilitate imposing direct constraints on geometric features, while avoiding issues with re-meshing. The review starts by providing some key definitions and then examines the ingredients that these methods use to map geometric features onto a fixed-grid. One of these ingredients corresponds to the mechanism for mapping the geometry of a single feature onto a fixed analysis grid, from which an ersatz material or an immersed boundary approach is used for the analysis. For the former case, which we refer to as the pseudo-density approach, a test problem is formulated to investigate aspects of the material interpolation, boundary smoothing and numerical integration. We also review other ingredients of feature-mapping techniques, including approaches for combining features (which are required to perform topology optimization) and methods for imposing a minimum separation distance among features. A literature review of feature-mapping methods is provided for shape optimization, combined feature/free-form optimization, and topology optimization. Finally, we discuss potential future research directions for feature-mapping methods.

show abstract

Multidisciplinary topology optimization for reduction of sloshing in aircraft fuel tanks based on SPH simulation

Cited by 15 publications

References 34 publications

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Knowledge based approach to ground refuelling optimization of commercial airplanes

A Review on Feature-Mapping Methods for Structural Optimization

Contact Info

Product

Resources

About