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    Wyświetlanie 1-4 z 4
    Tytuł:
    Manoeuvring prediction of KVLCC2 with hydrodynamic derivatives generated by a virtual captive model test
    Autorzy:
    Dai, Kun
    Li, Yunbo
    Powiązania:
    https://bibliotekanauki.pl/articles/258850.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    MMG model
    KVLCC2
    CFD
    manoeuvring prediction
    Opis:
    This paper describes the application of computational fluid dynamics rather than a towing tank test for the prediction of hydrodynamic derivatives using a RANS-based solver. Virtual captive model tests are conducted, including an oblique towing test and circular motion test for a bare model scale KVLCC2 hull, to obtain linear and nonlinear hydrodynamic derivatives in the 3rd-order MMG model. A static drift test is used in a convergence study to verify the numerical accuracy. The computed hydrodynamic forces and derivatives are compared with the available captive model test data, showing good agreement overall. Simulations of standard turning and zigzag manoeuvres are carried out with the computed hydrodynamic derivatives and are compared with available experimental data. The results show an acceptable level of prediction accuracy, indicating that the proposed method is capable of predicting manoeuvring motions.
    Źródło:
    Polish Maritime Research; 2019, 4; 16-26
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial economics model predicting transport volume
    Autorzy:
    Lu, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/259691.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    spatial economics
    logistics requirements potential model
    regional logistics prediction
    Opis:
    It is extremely important to predict the logistics requirements in a scientific and rational way. However, in recent years, the improvement effect on the prediction method is not very significant and the traditional statistical prediction method has the defects of low precision and poor interpretation of the prediction model, which cannot only guarantee the generalization ability of the prediction model theoretically, but also cannot explain the models effectively. Therefore, in combination with the theories of the spatial economics, industrial economics, and neo-classical economics, taking city of Zhuanghe as the research object, the study identifies the leading industry that can produce a large number of cargoes, and further predicts the static logistics generation of the Zhuanghe and hinterlands. By integrating various factors that can affect the regional logistics requirements, this study established a logistics requirements potential model from the aspect of spatial economic principles, and expanded the way of logistics requirements prediction from the single statistical principles to an new area of special and regional economics.
    Źródło:
    Polish Maritime Research; 2016, S 1; 36-43
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Error mitigation algorithm based on bidirectional fitting method for collision avoidance of Unmanned Surface Vehicle
    Autorzy:
    Song, L.
    Chen, Z.
    Mao, Y.
    Dong, Z.
    Xiang, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/260298.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    Unmanned Surface Vehicle
    position prediction
    error mitigation
    autoregressive model
    particle swarm optimization (PSO)
    Opis:
    Radars and sensors are essential devices for an Unmanned Surface Vehicle (USV) to detect obstacles. Their precision has improved significantly in recent years with relatively accurate capability to locate obstacles. However, small detection errors in the estimation and prediction of trajectories of obstacles may cause serious problems in accuracy, thereby damaging the judgment of USV and affecting the effectiveness of collision avoidance. In this study, the effect of radar errors on the prediction accuracy of obstacle position is studied on the basis of the autoregressive prediction model. The cause of radar error is also analyzed. Subsequently, a bidirectional adaptive filtering algorithm based on polynomial fitting and particle swarm optimization is proposed to eliminate the observed errors in vertical and abscissa coordinates. Then, simulations of obstacle tracking and prediction are carried out, and the results show the validity of the algorithm. Finally, the method is used to simulate the collision avoidance of USV, and the results show the validity and reliability of the algorithm.
    Źródło:
    Polish Maritime Research; 2018, 4; 13-20
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Numerical estimation of hull hydrodynamic derivatives in ship maneuvering prediction
    Autorzy:
    Kołodziej, Radosław
    Hoffmann, Paweł
    Powiązania:
    https://bibliotekanauki.pl/articles/1551776.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    captive model tests
    CFD tools in maneuvering prediction
    MOERI Container ship (KCS)
    Hull hydrodynamic derivatives
    Mathematical model of ship motion
    Opis:
    Prediction of the maneuvering characteristics of a ship at the design stage can be done by means of model tests, computational simulations or a combination of both. Th e model tests can be realized as a direct simulation of the standard maneuvers with the free running model, which gives the most accurate results but is also the least aff ordable, as it requires a very large tank or natural lake, as well as the complex equipment of the model. Alternatively, a captive model test can be used to identify the hydrodynamic characteristics of the hull, which can be used to simulate the standard maneuvers with the use of dedicated soft ware. Two types of captive model tests are distinguished: circular motion tests (CMT) and planar motion mechanism tests (PMM). Th e paper presents an attempt to develop a computational method for ship maneuverability prediction in which the hydrodynamic characteristics of the hull are identifi ed by means of computational fl uid dynamics (CFD). Th e CFD analyses presented here directly simulate the circular motion test. Th e resulting hull characteristics are verifi ed against the available literature data, and the results of the simulations are verifi ed against the results of free running model tests. Reasonable agreement shows the large potential of the proposed method.
    Źródło:
    Polish Maritime Research; 2021, 2; 46-53
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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