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The elderly seem to be more subject to housing problems due to lower income, older age of the housing stock and lower mobility. Nonetheless, housing deprivation (HD) is commonly analysed amongst the general population. Less is known about the differences between age clusters, which seems to be a crucial issue in countries like Poland due to population ageing. What is more, the current literature usually analyses only the occurrence of HD, while also an accumulation of its indicators seems to be substantial. The aim of this article is to identify the differences in HD (its occurrence and accumulation) amongst elderly and non-elderly households and to diagnose the risk factors behind those phenomena.

The HD index was calculated and compared. Next, the multinomial logit models were used to assess risk factors of HD.

The study showed that, surprisingly, HD in Poland occurs more frequently amongst non-elderly households. The elderly ones suffered more from housing cost overburden, while non-elderly from the overpopulation. In large part, analysed risk factors had a stronger influence on housing conditions of the elderly than non-elderly households.

Social policy tools should focus on the situation of single elderly households, especially living in houses, often in villages. This group is particularly affected by problems with the quality of the dwelling and housing cost overburden.

In the paper, the occurrence and accumulation of HD indicators were analysed. The authors applied a methodological framework that is applicable to other European Union (EU) member states based on the EU Survey on Income and Living Conditions (EU-SILC) data. It is possible to continue the research study and compare different economies.

The paper aims to apply numerical optimization to the aircraft design procedures applied in the airspace industry.

It is harder than ever to achieve competitive construction. This is why numerical optimization is becoming a standard tool during the design process. Although optimization procedures are becoming more mature, yet in the industry practice, fairly simple examples of optimization are present. The more complicated is the task to solve, the harder it is to implement automated optimization procedures. This paper presents practical examples of optimization in aerospace sciences. The methodology is discussed in the article in great detail.

Encountered problems related to the numerical optimization are presented. Different approaches to the solutions of the problems are shown, which have impact on the time of optimization computations and quality of the obtained optimum. Achieved results are discussed in detail with relation to the used settings.

Investigated different aspects of handling optimization problems, improving quality of the obtained optimum or speeding-up optimization by parallel computations can be directly applied in the industry optimization practice. Lessons learned from multidisciplinary optimization can bring industry products to higher level of performance and quality, i.e. more advanced, competitive and efficient aircraft design procedures, which could be applied in the industry practice. This can lead to the new approach of aircraft design process.

Introduction of numerical optimization methods in aircraft design process. Showing how to solve numerical optimization problems related to advanced cases of conceptual and preliminary aircraft design.

Designing new aircraft that are state-of-the-art and beyond always requires the development of new technologies. This paper aims to present lessons learned while designing, building and testing new UAVs in the configuration of the flying wing. The UAV contains a number of aerodynamic devices that are not obvious solutions and use the latest manufacturing technology achievements, such as 3D printing.

The design solutions were applied on an airworthy aircraft and checked during test flights. The process was first conducted on the smaller UAV, and based on the test outcomes, improvements were made and then applied on the larger version of the UAV, where they were verified.

A number of practical findings were identified. For example, the use of 3D printing technology for manufacturing integrated pressure ports, investigation of the adverse yaw effect on the flying wing configuration and the effectiveness of winglet rudders in producing yawing moment.

All designed devices were tested in practice on the flying aircraft. It allowed for improved aircraft performance and handling characteristics. Several of the technologies used improved the speed and quality of aerodynamic device design and manufacturing, which also influences the reliability of the aircraft.

The paper presents how 3D printing technology can be utilized for manufacturing of aerodynamic devices. Specially developed techniques for control surface design, which can affect adverse yaw problem and aircraft handling characteristics, were described.

Conceptual and preliminary aircraft concepts are getting mature earlier in the design process, than ever before. To achieve that advanced level of maturity, multiple multidisciplinary analyses have to be done, often with usage of numerical optimization algorithms. This calls for right tools that can handle such a demanding task. Often the toughest part of a modern design is handling an aircraft’s computational models used for different analysis. Transferring geometry and loads from one program to another, or modifying internal structure, takes time and is not productive. Authors defined the concept of a common computational model (CCM), which couples programs from different aerospace scientific disciplines. Data exchange between the software components is compatible, and multidisciplinary analysis can be automated to high degree, including numerical optimization.

The panel method was applied to aerodynamic analysis and was coupled with open-source FEM code within one computational process.

The numerical results proved the effectiveness of developed methodology.

Developed software can be used within the design process of a new aircraft.

This paper presents an original approach for advanced numerical analysis, as well as for multidisciplinary optimization of an aircraft. The presented results show possible applications.