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    Wyświetlanie 1-4 z 4
    Tytuł:
    Construction analysis of mechanical parts of locomotives
    Analiz konstrukcijj mekhanicheskojj chasti lokomotivov
    Autorzy:
    Myamlin, S.
    Luchanin, M.
    Neduzha, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/792569.pdf
    Data publikacji:
    2013
    Wydawca:
    Komisja Motoryzacji i Energetyki Rolnictwa
    Tematy:
    locomotive
    running gear
    dynamic property
    spatial fluctuation
    traction force
    mathematical model
    computer calculation method
    experimental investigation
    Źródło:
    Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2013, 13, 3
    1641-7739
    Pojawia się w:
    Teka Komisji Motoryzacji i Energetyki Rolnictwa
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Technical note: Comparison between two methods for estimating the vertical scale of fluctuation for modeling random geotechnical problems
    Autorzy:
    Pieczyńska-Kozłowska, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/178384.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    scale of fluctuation
    spatial variability
    Opis:
    The design process in geotechnical engineering requires the most accurate mapping of soil. The difficulty lies in the spatial variability of soil parameters, which has been a site of investigation of many researches for many years. This study analyses the soilmodeling problem by suggesting two effective methods of acquiring information for modeling that consists of variability from cone penetration test (CPT). The first method has been used in geotechnical engineering, but the second one has not been associated with geotechnics so far. Both methods are applied to a case study in which the parameters of changes are estimated. The knowledge of the variability of parameters allows in a long term more effective estimation, for example, bearing capacity probability of failure.
    Źródło:
    Studia Geotechnica et Mechanica; 2015, 37, 4; 95-103
    0137-6365
    2083-831X
    Pojawia się w:
    Studia Geotechnica et Mechanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On determining the undrained bearing capacity coefficients of variation for foundations embedded on spatially variable soil
    Autorzy:
    Chwała, Marcin
    Powiązania:
    https://bibliotekanauki.pl/articles/178626.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    spatial averaging
    random field
    random bearing capacity
    fluctuation scale
    failure mechanism
    Opis:
    This paper presents an efficient method and its usage for the three-dimensional random bearing capacity evaluation for square and rectangular footings. One of the objectives of the study is to deliver graphs that can be used to easily estimate the approximated values of coefficients of variations of undrained bearing capacity. The numerical calculations were based on the proposed method that connects three-dimensional failure mechanism, simulated annealing optimization scheme and spatial averaging. The random field is used for describing the spatial variability of undrained shear strength. The proposed approach is in accordance with a constant covariance matrix concept, that results in a highly efficient tool for estimating the probabilistic characteristics of bearing capacity. As a result, numerous three-dimensional simulations were performed to create the graphs. The considered covariance matrix is a result of Vanmarcke’s spatial averaging discretization of a random field in the dissipation regions to the single random variables. The matrix describes mutual correlation between each dissipation region (or between those random variables). However, in the presented approach, the matrix was obtained for the expected value of undrained shear strength and keep constant during Monte Carlo simulations. The graphs were established in dimensionless coordinates that vary in the observable in practice ranges of parameters (i.e., values of fluctuation scales, foundation sizes and shapes). Examples of usage were given in the study to illustrate the application possibility of the graphs. Moreover, the comparison with the approach that uses individually determined covariance matrix is shown.
    Źródło:
    Studia Geotechnica et Mechanica; 2020, 42, 2; 125-136
    0137-6365
    2083-831X
    Pojawia się w:
    Studia Geotechnica et Mechanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An iterative algorithm for random upper bound kinematical analysis
    Autorzy:
    Chwała, Marcin
    Powiązania:
    https://bibliotekanauki.pl/articles/2073758.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    random bearing capacity
    shallow foundation
    scale of fluctuation
    iterative algorithm
    upper bound
    spatial variability
    Opis:
    A new approach for stochastic upper bound kinematical analyses is described. The study proposes an iterative algorithm that uses the Vanmarcke spatial averaging and kinematical failure mechanisms. The iterative procedure ensures the consistency between failure geometry and covariance matrix, which influences the quality of the results. The proposed algorithm can be applied to bearing capacity evaluation or slope stability problems. The iterative algorithm is used in the study to analyse the three-dimensional undrained bearing capacity of shallow foundations and the bearing capacity of the foundation for two-layered soil, in both cases, the soil strength spatial variability is included. Moreover, the obtained results are compared with those provided by the algorithm, based on the constant covariance matrix. The study shows that both approaches provide similar results for a variety of foundation shapes and scale of fluctuation values. Therefore, the simplified algorithm can be used for purposes that require high computational efficiency and for practical applications. The achieved efficiency using a constant covariance matrix for one realisation of a three-dimensional bearing capacity problem that includes the soil strength spatial variability results in about 0.5 seconds for a standard notebook. The numerical example presented in the study indicates the importance of the iterative algorithm for further development of the failure mechanism application in probabilistic analyses. Moreover, because the iterative algorithm is based on the upper bound theorem, it could be utilised as a reference for other methods for spatially variable soil.
    Źródło:
    Studia Geotechnica et Mechanica; 2022, 44, 1; 13--25
    0137-6365
    2083-831X
    Pojawia się w:
    Studia Geotechnica et Mechanica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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