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

Mrówczyńska, Maria; Sztubecki, Jacek; Sztubecka, Małgorzata; Skrzypczak, Izabela

doi:10.1515/geo-2020-0022

Cited by 3 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An example is the m-estimation method, which eliminates the problem of gross errors not included in the Helmert transformation [7]. Another approach is the use of artificial intelligence methods and artificial neural networks [8][9][10][11]. The task of the network is to determine a pair of unknown coordinates (secondary system) on the basis of given coordinates (primary system).…”

Section: Introductionmentioning

confidence: 99%

Identification of land system transformations in the Rzeszów city square

2023

Archives of Civil Engineering

View full text Add to dashboard Cite

The paper presents the results of a comparative study of the land system of the city square and adjacent buildings for Rzeszów in Poland. The study made use of a cadastral map at a scale of 1:2880 and a modern land and building record map. For the purpose of adjusting reference systems, the cadastral map recorded in the form of a digital raster image, in accordance with applicable provisions of polish law (Journal of Laws No. 263 §49), was subjected to a two-stage calibration. The first stage consisted in carrying out initial calibration with the employment of first-degree affine transformation. In the second stage, final calibration was performed using mathematical transformation that considered the distortions detected in the previous stage. The results showed shifts, consolidations, and divisions of land parcels with regard to the present state, and changes to property structure. The proposed method may prove useful for further research on historical urban system morphology, and on restoration and renewal of the urban tissue.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification of land system transformations in the Rzeszów city square

2023

Archives of Civil Engineering

View full text Add to dashboard Cite

show abstract

The network structure evolutionary optimization to geodetic monitoring in the aspect of information entropy

Mrówczyńska

Sztubecki

2021

Measurement

View full text Add to dashboard Cite

The model identification of buildings horizontal displacements with the use of a free geodetic network

Mrówczyńska

Sztubecki

Ziçba

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The geodetic monitoring of engineering structures, their displacements, and deformations, carried out permanently or periodically, allows obtaining information on the technical condition of facilities. The achieved information enables determining the necessary changes in using objects and minimizing future errors in the similar object’s design. The measurement results are subject to geometric interpretation based on the determined displacement parameters of the object’s shape and the approximation of the vector displacement field. Due to the influence of random factors characterized by a change in time and varying intensity, the deformation measurements performed during the operation of the facilities are of great importance for the safety of structures and engineering structures. In actual tasks of determining the object’s deformation and building a geometric model of displacements, the dominant method is the differential method, the advantage of eliminating systematic errors in measurement results while maintaining the geometric structure of the measurement and control network. The displacement’s geometric model, built based on measurements and calculations, can build a dynamic model of a building object, additionally considering such causes of deformation as, for example, own and usable weight, wind pressure, changes in ambient temperature, or ground vibrations. The article proposes approaches using the free alignment of linear and angular observations made in a geodetic network to determine horizontal displacements of an engineering object. This method may be necessary to study displacements of various parts of the object, thus analyzing its deformation. Free alignment allows for an optimal fit of the equalized network into the approximate network by imposing additional conditions (compared to the classic least squares method) on the vector of estimates of increments to approximate coordinates and the value of the covariance matrix. As an example of applying the proposed approach, the actual data received from the geodetic monitoring of the building structure was used. The structure was a road viaduct located along Wojska Polskiego Street in Bydgoszcz. The object of measurements and analyses was represented by finite sets of fixed points, subject to periodic observations over two years. The authors tested the effectiveness of the proposed algorithm and compared the obtained results with the values of horizontal displacements, which were calculated based on the classic study of geodetic monitoring results using the least-squares method. The accuracy analysis of the obtained values of the geodetic network horizontal displacements using free alignment and the least-squares method was also performed. The results indicate the possibility of using the presented approach to identify the geometric model of horizontal displacements without losing the accuracy of their determination.

show abstract

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

Cited by 3 publications

References 14 publications

Identification of land system transformations in the Rzeszów city square

Identification of land system transformations in the Rzeszów city square

The network structure evolutionary optimization to geodetic monitoring in the aspect of information entropy

The model identification of buildings horizontal displacements with the use of a free geodetic network

Contact Info

Product

Resources

About