Diagnoses in the Aging Process of Residential Buildings Constructed Using Traditional Technology

Nowogońska, Beata

doi:10.3390/buildings9050126

Cited by 31 publications

(27 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Progressing urbanization and climate change are interacting processes that require comprehensive actions to minimize their negative effects. Particularly significant are the challenges related to the intensity of threats of the progressive dispersion of housing construction along its communication routes (urban sprawl) and the increasing socio-environmental fragmentation of urban areas [1][2][3]. These threats often result from a lack of knowledge and in-depth analysis at the local level, starting from a single building, through housing estates, and ending in the areas of basic territorial units; i.e., municipalities.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

et al. 2020

View full text Add to dashboard Cite

Improving in the energy efficiency of urban buildings, and maximizing the savings and the resulting benefits require information support from city decision-makers, planners, and designers. The selection of the appropriate analytical methods will allow them to make optimal design and location decisions. Therefore, the research problem of this article is the development of an innovative decision support system using multi-criteria analysis and Geographic Information Systems (decision support system + Geographic Information Systems = DGIS) for planning urban development. The proposed decision support system provides information to energy consumers about the location of energy efficiency improvement potential. This potential has been identified as the possibility of introducing low-energy buildings and the use of renewable energy sources. DGIS was tested in different construction areas (categories: A, B, C, D), Zielona Góra quarters. The results showed which area among the 53 quarters with a separate dominant building category was the most favorable for increasing energy efficiency, and where energy efficiency could be improved by investing in renewable energy sources, taking into account the decision-maker. The proposed DGIS system can be used by local decision-makers, allowing better action to adapt cities to climate change and to protect the environment. This approach is part of new data processing strategies to build the most favorable energy scenarios in urban areas.

show abstract

Section: Introductionmentioning

confidence: 99%

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Over the last years, artificial neural networks featuring strong theoretical bases and usefulness in practice have become increasingly important as algorithms of modelling and analysing measuring data [10]. Similar possible applications were confirmed by resolving building, surveying, cartography, cadastre, geotechnical and photogrammetry issues [11][12][13][14][15][16][17][18]. In this study, the development of results with polar and intersection methods was correlated with the analysis using a neural network.…”

Section: Introductionmentioning

confidence: 68%

The use of classical methods and neural networks in deformation studies of hydrotechnical objects

et al. 2020

View full text Add to dashboard Cite

Objects’ measurements often boil down to the determination of changes due to external factors affecting on their structure. The estimation of changes in a tested object, in addition to proper measuring equipment, requires the use of appropriate measuring methods and experimental data result processing methods. This study presents a statement of results of geometrical measurements of a steel cylinder that constitutes the main structural component of the historical weir Czersko Polskie in Bydgoszcz. In the initial stage, the estimation of reliable changes taking place in the cylinder structure involved the selection of measuring points essential for mapping its geometry. Due to the continuous operation of the weir, the points covered only about one-third of the cylinder area. The set of points allowed us to determine the position of the cylinder axis as well as skews and deformations of the cylinder surface. In the next stage, the use of methods based on artificial neural networks allowed us to predict the changes in the tested object. Artificial neural networks have proved to be useful in determining displacements of building structures, particularly hydro-technical objects. The above-mentioned methods supplement classical measurements that create the opportunity for carrying out additional analyses of changes in a spatial position of such structures. The purpose of the tests is to confirm the suitability of artificial neural networks for predicting displacements of building structures, particularly hydro-technical objects.

show abstract

“…The problem of the analysis of the technical process of the wear of building objects over time is presented quite widely in technical literature [11,12,15,[28][29][30][31]-but unfortunately it is more descriptive (theoretical) than normative (with regards to applications). In order to determine the degree of technical wear, as a parameter describing the process, various types of information about an object are necessary, e.g., durability, dependence between the technical age and the maintenance conditions or utility purpose, and also the share of individual elements in the cost structure.…”

Section: Introductionmentioning

confidence: 99%

“…Regardless of the methods used for assessing an object, the degree of technical wear of its elements is the basic parameter when making decisions about the future of a building, especially a residential building. The problem of the analysis of the process of the technical wear of buildings is presented quite widely in technical literature [11,12,14,28,[34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Influence of Age on the Technical Wear of Tenement Houses

2020

View full text Add to dashboard Cite

The research presented in the article, which includes methods, models, and conclusions, contains synthetic and analytical model solutions concerning the problems of the technical maintenance and wear of residential buildings with a traditional construction. The cause and effect relationships between the occurrence of damage in the elements of tenement houses (treated as proof of their maintenance conditions), and the size of the technical wear of these elements were determined using a representative and purposefully selected sample of 102 residential buildings erected during the second half of the nineteenth and early twentieth centuries in Wroclaw’s “Downtown” district. Quantitative damage analysis, which was carried out using empirical (visual) methods of assessing the technical condition of a building, indicates the type and size of damage to the building’s elements that are characteristic for the relevant maintenance conditions. Research concerning the cause–effect relationships (“damage–technical wear”) in observed states allows for a numerical approach to the impact of building maintenance conditions on the degree of the technical wear of its components. The maintenance and exploitation conditions determine the degree of the technical wear of the elements of an old residential building. The exploitation condition of these buildings is manifested by damage to elements caused by water and moisture penetration, which is especially important for poorly maintained buildings. The article shows that the age of the elements of an old residential building with a traditional construction is of secondary importance in the process of the intensity of losing its serviceability value. It was calculated that no more than 30% of the damage of building components is explained by the passage of time, and it is therefore not age that determines the course of the technical wear of the elements of the analyzed tenement houses.

show abstract

Diagnoses in the Aging Process of Residential Buildings Constructed Using Traditional Technology

Cited by 31 publications

References 33 publications

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

The use of classical methods and neural networks in deformation studies of hydrotechnical objects

Influence of Age on the Technical Wear of Tenement Houses

Contact Info

Product

Resources

About