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Modelling and analysis of the stability of a harbour wharf’s embankment with regards to its failure

Dmochowski Grzegorz, Berkowski Piotr, Szołomicki Jerzy, Gronostajska Barbara, Krążelewski Jarosław

Archives of Civil and Mechanical Engineering

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2021

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Vol. 21, no. 4

54--70

EN

The article presents the process of creating a computational model for the stability analysis of a harbour wharf’s embankment with regards to its failure. The described elements that were taken into account at the stage of data preparation are: historical analysis of the structure (structural calculations, and the calculations of the stability of the embankment), results of the author’s own soil and material tests (concrete, steel), environmental conditions (atmospheric and water), the possible load systems that acted on the facility, and also the results from the 3D model of the wharf’s structure. On this basis, five computational schemes were prepared for computer simulations of the stability of the embankment in a plain state of deformations. Various stages and conditions of its operation were taken into account. In conclusion, a possible course of the process of destruction of the structure of the harbour wharf, and the river embankment that cooperates with it, was proposed.

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Szkoła projektowania. Cz. 17. Analiza pracy wałów przeciwpowodziowych z ekranem szczelnym z geomembrany

Radzicki K.

Izolacje

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2011

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R. 16, nr 7-8

86-90

PL

Powódź z maja i czerwca 2010 r. zweryfikowała poprawność stosowanych w ostatnich latach rozwiązań projektowych oraz wykonania watów przeciwpowodziowych i zachowania się pod obciążeniem materiałów stosowanych w ich konstrukcji, jednym z tych rozwiązań jest uszczelnienie obiektu w postaci ekranu szczelnego z geomembrany w skarpie odwodnej wału oraz przesłona przeciwfiltracyjna w stopie odwodnej wału [zwykle niedogłębiona].

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River embankment identification in the airborne laser scanning point cloud

Tymków P., Borkowski A., Gołuch P.

Studia Geotechnica et Mechanica

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2009

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Vol. 31, nr 4

85-94

EN

Hydrodynamic modeling is one of the most significant tools in risk and environmental management of floodplains. Such research requires precise and reliable digital terrain models (DTM). Moreover, DTMs should determine the location of terrain edges for the area of river valley, i.e. river embankments. Terrain models are usually built using data collected with airborne laser scanning. Irregular cloud of scanned points can be used for 3D line edges modeling. However, this task is difficult because determination of the river embankment edges is not always exact; the edges are not defined precisely or they can be hidden in bushes and groups of higher vegetation. One of the newest methods of the edges modeling relies on the intersection of two planes. The main issue here is to classify points into subsets located on both sides of the modeled edge. In this study, the algorithm employing multilayer feed-forward neural network for point classification is presented. It allows us to include a priori information about the expected shape of surface as well as the orientation of embankment with respect to the river flow direction. Classification was performed on the real airborne laser scanning dataset. Confusion matrix was used for the quantitative accuracy assessment. This matrix was built for the test vector based on the comparison of the obtained results with an interactive sample.