Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "embankment stability" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-5 z 5
    Tytuł:
    Excavations in the vicinity of the antiflood embankments – calculating issues
    Autorzy:
    Grodecki, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/2086776.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    excavation
    stability
    embankment
    flood
    filtration
    Opis:
    According to Polish law, it is prohibited to perform excavations or locate buildings closer than 50 m from the embankment. In order to obtain exemption from this ban, filtration and stability analysis of the embankment and excavation in the flood conditions have to be performed. This paper presents results of the numerical investigations on interactions between excavations and embankment. Complex nature of the problem is presented. Methodology of numerical simulations and real case examples are described.
    Źródło:
    Studia Geotechnica et Mechanica; 2022, 44, 2; 138--147
    0137-6365
    2083-831X
    Pojawia się w:
    Studia Geotechnica et Mechanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Analysis of the Stability of the Communication Support Stabilized by Gabion Wall with Variable Configuration
    Autorzy:
    Zamiar, Zenon
    Surowiecki, Andrzej
    Saska, Piotr
    Balawejder, Adam
    Powiązania:
    https://bibliotekanauki.pl/articles/504194.pdf
    Data publikacji:
    2019
    Wydawca:
    Międzynarodowa Wyższa Szkoła Logistyki i Transportu
    Tematy:
    communication embankment
    gabion wall
    water damming
    stability
    Opis:
    The subject of the article concerns the stabilization of communication earthworks using the so-called lightweight retaining structures. The stability of the embankment with the embankment built with the gabion wall is analysed, assuming a uniformly distributed load on the crown and a case of unilateral water pressure in the event of a flood. Final results of stability calculations made with the Fellenius and Bishop method in the form of slip surface with the smallest value of the coefficient were presented. Then, assuming the case of damming up of flood water, discretization of the filtration area, velocity distribution and hydrodynamic grating and slip surfaces were developed. The variable parameter is the wall configuration.
    Źródło:
    Logistics and Transport; 2019, 42, 2; 109-116
    1734-2015
    Pojawia się w:
    Logistics and Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Reviews on Finite Element Modeling Practices of Stone Columns for Soft Soil Stabilization Beneath an Embankment Dam
    Autorzy:
    Teshager, Daniel Kefelegn
    Belayneh, Henok Lemma
    Powiązania:
    https://bibliotekanauki.pl/articles/2172888.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    embankment
    soft soil
    settlement
    stone column
    slope stability
    consolidation
    Opis:
    This article reviews the numerical approach in stone column practices and presents the benefits of stone columns as a ground improvement of soft soil to support an embankment dam. In this article, the methodological approaches to numerically modeling stone columns in both 2D and 3D studies, as well as the selection of an appropriate constitutive model are discussed. The numerical practices for the installation of the stone column and the validation procedures used to ensure the accuracy of the numerical analysis are also explained. In addition to that, the study also presents the benefits of stone columns in improving settlement behavior, slope stability, and decreasing the end time of consolidation. Parameters that influence the performance of the stone column with their respective results are also assessed.
    Źródło:
    Studia Geotechnica et Mechanica; 2022, 44, 4; 343--353
    0137-6365
    2083-831X
    Pojawia się w:
    Studia Geotechnica et Mechanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Big Data processing strategy for hybrid interpretation of flood embankment multisensor data
    Autorzy:
    Chuchro, M.
    Franczyk, A.
    Dwornik, M.
    Leśniak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/184822.pdf
    Data publikacji:
    2016
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    flood embankment
    anomaly detection
    numerical modelling
    big data
    stability assessment
    Opis:
    The assessment of flood embankments is a key component of a country’s comprehensive flood protection. Proper and early information on the possible instability of a flood embankment can make it possible to take preventative action. The assessment method proposed by the ISMOP project is based on a strategy of processing huge data sets (Big Data). The detection of flood embankment anomalies can take two analysis paths. The first involves the computation of numerical models and comparing them with real data measured on a flood embankment. This is the path of model-driven analysis. The second solution is data-driven, meaning time series are analysed in order to detect deviations from average values. Flood embankments are assessed based on the results of model-driven and data-driven analyses and information from preprocessing. An alarm is triggered if a critical value is exceeded in one or both paths of analysis. Tests on synthetic data demonstrate the high efficiency of the chosen methods for assessing the state of flood embankments.
    Źródło:
    Geology, Geophysics and Environment; 2016, 42, 3; 269-277
    2299-8004
    2353-0790
    Pojawia się w:
    Geology, Geophysics and Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep neural network and ANN ensemble for slope stability prediction
    Autorzy:
    Gupta, A.
    Aggarwal, Y.
    Aggarwal, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/24200566.pdf
    Data publikacji:
    2022
    Wydawca:
    Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
    Tematy:
    upper clay
    lower clay
    peat
    angle of internal friction
    embankment
    factor of safety
    slope stability
    deep neural network
    ensemble
    glina górna
    glina dolna
    torf
    kąt tarcia wewnętrznego
    nasyp
    współczynnik bezpieczeństwa
    stabilność zbocza
    głęboka sieć neuronowa
    zespół
    Opis:
    Purpose: Application of deep neural networks (DNN) and ensemble of ANN with bagging for estimating of factor of safety (FOS) of soil stability with a comparative performance analysis done for all techniques. Design/methodology/approach: 1000 cases with different geotechnical and similar Geometrical properties were collected and analysed using the Limit Equilibrium based Morgenstern-Price Method with input variables as the strength parameters of the soil layers, i.e., Su (Upper Clay), Su (Lower Clay), Su (Peat), angle of internal friction (φ), Su (Embankment) with the factor of safety (FOS) as output. The evaluation and comparison of the performance of predicted models with cross-validation having ten folds were made based on correlation-coefficient (CC), Nash-Sutcliffe-model efficiency-coefficient (NSE), root-mean-square-error (RMSE), mean-absolute-error (MAE) and scattering-index (S.I.). Sensitivity analysis was conducted for the effects of input variables on FOS of soil stability based on their importance. Findings: The results showed that these techniques have great capability and reflect that the proposed model by DNN can enhance performance of the model, surpassing ensemble in prediction. The Sensitivity analysis outcome demonstrated that Su (Lower Clay) significantly affected the factor of safety (FOS), trailed by Su (Peat). Research limitations/implications: This paper sets sight on use of deep neural network (DNN) and ensemble of ANN with bagging for estimating of factor of safety (FOS) of soil stability. The current approach helps to understand the tangled relationship of various inputs to estimate the factor of safety of soil stability using DNN and ensemble of ANN with bagging. Practical implications: A dependable prediction tool is provided, which suggests that model can help scientists and engineers optimise FOS of soil stability. Originality/value: Recently, DNN and ensemble of ANN with bagging have been used in various civil engineering problems as reported by several studies and has also been observed to be outperforming the current prevalent modelling techniques. DNN can signify extremely changing and intricate high-dimensional functions in correlation to conventional neural networks. But on a detailed literature review, the application of these techniques to estimate factor of safety of soil stability has not been observed.
    Źródło:
    Archives of Materials Science and Engineering; 2022, 116, 1; 14--27
    1897-2764
    Pojawia się w:
    Archives of Materials Science and Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies