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Scientific Journals of the Maritime University of Szczecin,
Zeszyty Naukowe Politechniki Morskiej w Szczecinie
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Scientific Journals of the Maritime University of Szczecin,
Zeszyty Naukowe Politechniki Morskiej w Szczecinie
ISSN 1733-8670 (Printed)
ISSN 2392-0378 (Online)
DOI PREFIX 10.17402
The Scientific Journals (SJ) issued by the Maritime University of Szczecin (MUS) is a magazine which presents results of MUS research and educational activities. SJ has been published since 1973 but in 2004 it changed the ISSN from 0209-2069 to 1733-8670 as a result of MUS changing its name from Wyższa Szkoła Morska w Szczecinie to Akademia Morska w Szczecinie.
At the beginning there were several papers published in SJ and they were connected with maritime affairs. Doctoral and habilitation theses had also been published then. With time the SJ scope expanded to among others nautical issues, operation of the vessel, marine power plant operation. The magazine presented also symposium and conference proceedings.
Since 2008, the magazine has been published in A4 format with a new layout. Since 2010 the journal has been publishing the articles in English. By the end of 2014 a total of 112 Scientific Journals will have been published.
The SJ Scientific Board ensures high quality of published papers. All papers are reviewed confidentially and anonymously (double blind review) and are a subject of scientific edition.
The Scientific Journals printed version is primary.
https://scientific-journals.pm.szczecin.pl/index.php?option=com_content&view=category&layout=blog&id=139&Itemid=128&lang=pl/
List of Issues
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86 Scientific Journals of the Maritime University of Szczecin, no. 86 / 2026
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85 Scientific Journals of the Maritime University of Szczecin, no. 85 / 2026
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84 Scientific Journals of the Maritime University of Szczecin, no. 84 / 2025
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83 Scientific Journals of the Maritime University of Szczecin, no. 83 / 2025
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82 Scientific Journals of the Maritime University of Szczecin, no. 82 / 2025
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81 Scientific Journals of the Maritime University of Szczecin, no. 81 / 2025
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80 Scientific Journals of the Maritime University of Szczecin, no. 80 / 2024
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79 Scientific Journals of the Maritime University of Szczecin, no. 79 / 2024
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78 Scientific Journals of the Maritime University of Szczecin, no. 78 / 2024
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77 Scientific Journals of the Maritime University of Szczecin, no. 77 / 2024
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76 Scientific Journals of the Maritime University of Szczecin, no. 76 / 2023
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75 Scientific Journals of the Maritime University of Szczecin, no. 75 / 2023
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74 Scientific Journals of the Maritime University of Szczecin, no. 74 / 2023
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73 Scientific Journals of the Maritime University of Szczecin, no. 73 / 2023
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72 Scientific Journals of the Maritime University of Szczecin, no. 72 / 2022
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71 Scientific Journals of the Maritime University of Szczecin, no. 71 / 2022
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70 Scientific Journals of the Maritime University of Szczecin, no. 70 / 2022
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69 Scientific Journals of the Maritime University of Szczecin, no. 69 / 2022
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68 Scientific Journals of the Maritime University of Szczecin, no. 68 / 2021
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67 Scientific Journals of the Maritime University of Szczecin, no. 67 / 2021
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66 Scientific Journals of the Maritime University of Szczecin, no. 66 / 2021
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65 Scientific Journals of the Maritime University of Szczecin, no. 65 / 2021
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64 Scientific Journals of the Maritime University of Szczecin, no. 64 / 2020
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63 Scientific Journals of the Maritime University of Szczecin, no. 63 / 2020
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62 Scientific Journals of the Maritime University of Szczecin, no. 62 / 2020
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61 Scientific Journals of the Maritime University of Szczecin, no. 61 / 2020
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60 Scientific Journals of the Maritime University of Szczecin, no. 60 / 2019
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59 Scientific Journals of the Maritime University of Szczecin, no. 59 / 2019
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58 Scientific Journals of the Maritime University of Szczecin, no. 58 / 2019
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57 Scientific Journals of the Maritime University of Szczecin, no. 57 / 2019
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56 Scientific Journals of the Maritime University of Szczecin, no. 56 / 2018
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55 Scientific Journals of the Maritime University of Szczecin, no. 55 / 2018
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54 Scientific Journals of the Maritime University of Szczecin, no. 54 / 2018
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53 Scientific Journals of the Maritime University of Szczecin, no. 53 / 2018
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52 Scientific Journals of the Maritime University of Szczecin, no. 52 / 2017
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51 Scientific Journals of the Maritime University of Szczecin, no. 51 / 2017
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50 Scientific Journals of the Maritime University of Szczecin, no. 50 / 2017
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49 Scientific Journals of the Maritime University of Szczecin, no. 49 / 2017
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48 Scientific Journals of the Maritime University of Szczecin, no. 48 / 2016
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47 Scientific Journals of the Maritime University of Szczecin, no. 47 / 2016
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46 Scientific Journals of the Maritime University of Szczecin, no. 46 / 2016
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45 Scientific Journals of the Maritime University of Szczecin, no. 45 / 2016
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44 Scientific Journals of the Maritime University of Szczecin, no. 44 / 2015
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43 Scientific Journals of the Maritime University of Szczecin, no. 43 / 2015
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42 Scientific Journals of the Maritime University of Szczecin, no. 42 / 2015
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41 Scientific Journals of the Maritime University of Szczecin, no. 41 / 2015
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40 Scientific Journals of the Maritime University of Szczecin, no. 40 / 2014
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39 Scientific Journals of the Maritime University of Szczecin, no. 39 / 2014
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38 Scientific Journals of the Maritime University of Szczecin, no. 38 / 2014
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37 Scientific Journals of the Maritime University of Szczecin, no. 37 / 2014
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36.2 Scientific Journals of the Maritime University of Szczecin, no. 36 / 2013
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36.1 Scientific Journals of the Maritime University of Szczecin, no. 36 / 2013
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35 Scientific Journals of the Maritime University of Szczecin, no. 35 / 2013
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34 Scientific Journals of the Maritime University of Szczecin, no. 34 / 2013
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33 Scientific Journals of the Maritime University of Szczecin, no. 33 / 2013
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32.2 Scientific Journals of the Maritime University of Szczecin, no. 32 / 2012
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32.1 Scientific Journals of the Maritime University of Szczecin, no. 32 / 2012
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31 Scientific Journals of the Maritime University of Szczecin, no. 31 / 2012
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30 Scientific Journals of the Maritime University of Szczecin, no. 30 / 2012
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29 Scientific Journals of the Maritime University of Szczecin, no. 29 / 2012
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28 Scientific Journals of the Maritime University of Szczecin, no. 28 / 2011
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27 Scientific Journals of the Maritime University of Szczecin, no. 27 / 2011
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26 Scientific Journals of the Maritime University of Szczecin, no. 26 / 2011
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25 Scientific Journals of the Maritime University of Szczecin, no. 25 / 2011
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24 Scientific Journals of the Maritime University of Szczecin, no. 24 / 2010
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23 Scientific Journals of the Maritime University of Szczecin, no. 23 / 2010
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22 Scientific Journals of the Maritime University of Szczecin, no. 22 / 2010
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21 Scientific Journals of the Maritime University of Szczecin, no. 21 / 2010
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20 Scientific Journals of the Maritime University of Szczecin, no. 20 / 2010
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19 Scientific Journals of the Maritime University of Szczecin, no. 19 / 2009
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18 Scientific Journals of the Maritime University of Szczecin, no. 18 / 2009
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17 Scientific Journals of the Maritime University of Szczecin, no. 17 / 2009
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16 Scientific Journals of the Maritime University of Szczecin, no. 16 / 2009
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15 Scientific Journals of the Maritime University of Szczecin, no. 15 / 2008
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14 Scientific Journals of the Maritime University of Szczecin, no. 14 / 2008
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13 Scientific Journals of the Maritime University of Szczecin, no. 13 / 2008
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12 Scientific Journals of the Maritime University of Szczecin, no. 12 / 2007
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11 Scientific Journals of the Maritime University of Szczecin, no. 11 / 2006
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10 Scientific Journals of the Maritime University of Szczecin, no. 10 / 2006
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09 Scientific Journals of the Maritime University of Szczecin, no. 9 / 2005
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08 Scientific Journals of the Maritime University of Szczecin, no. 8 / 2006
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07 Scientific Journals of the Maritime University of Szczecin, no. 7 / 2005
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06 Scientific Journals of the Maritime University of Szczecin, no. 6 / 2005
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05 Scientific Journals of the Maritime University of Szczecin, no. 5 / 2005
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04 Scientific Journals of the Maritime University of Szczecin, no. 4 / 2004
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03 Scientific Journals of the Maritime University of Szczecin, no. 3 / 2004
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02 Scientific Journals of the Maritime University of Szczecin, no. 2 / 2004
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01 Scientific Journals of the Maritime University of Szczecin, no. 1 / 2004
Recent Submissions
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(Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )The multi-ARPA (MARPA) system is a conceptual navigational decision-support tool intended to support the Officer of the Watch in complex ship-encounter situations, especially when several surrounding targets must be assessed simultaneously. In its original form, MARPA classifies candidate ship courses and target collision potential mainly by using predefined closest point of approach (CPA)/time to closest point of approach (TCPA)-based thresholds. Although such thresholds are operationally simple, they do not directly account for vessel dimensions, encounter geometry, uncertainty of navigational data, or the remaining maneuvering capability of a ship. This paper proposes a theoretical and analytical framework for improving MARPA hazard classification by replacing static CPA/TCPA-based heuristics with criteria derived from the ship domain and its safety-related sub-areas: the navigationally dangerous area, the critical area, and the collision zone. The proposed approach preserves the original operational structure of MARPA, including the direct hazard module and the indirect hazard module, but changes the meaning of the input hazard classes. Candidate ship courses and target collision potential are classified according to the predicted relation between the target trajectory and the domain-based safety areas. The analytical verification shows that domain-based classification changes MARPA output in several distinct ways. In the direct hazard module, the predefined scenarios produced higher, lower, and equivalent domain-based classifications when compared with static CPA/TCPA-based classification. In the indirect hazard module, the modification affected the class of direct hazard, class of course hazard, class of speed hazard, CMPH, and degree of indirect hazards through target geometry and through the course or speed change required for a target to violate the collision zone, critical area, navigationally dangerous area, or the ship domain. The collision zone provides the highest hazard class, a direct geometric meaning that refers to the possibility of physical contact rather than to an arbitrary CPA value. The practical advantage of this modification is that MARPA output can indicate not only that a course or target is hazardous but also which domain-based constraint is responsible for the classification. This study is theoretical and analytical in nature; full simulator-based, automatic identification system/radar-based, and onboard validation are identified as a necessary stage for future work.
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(Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )Industrial infrastructure in coastal environments is exposed to particularly demanding operating conditions that can significantly affect the durability and reliability of metallic structures. Environmental factors characteristic of coastal zones, including high humidity and the presence of airborne salts containing chloride ions, accelerate corrosion processes and contribute to the progressive degradation of structural components. Such degradation may influence not only the physical condition of materials but also the operational stability, safety, and maintenance requirements of industrial systems. For this reason, corrosion-related damage should be considered within a broader framework of quality management and infrastructure safety rather than solely as a materials engineering issue. This paper proposes a conceptual framework for analyzing corrosion-related degradation in metallic structures operating in coastal environments, using a disturbance coding approach inspired by methodologies from safety science. In the proposed perspective, corrosion processes are interpreted as sequences of disturbances affecting system stability, while inspection procedures and maintenance interventions are treated as adaptive actions aimed at restoring operational reliability. The introduction of a structured coding scheme for identifying and documenting degradation-related events enables a more systematic monitoring of structural disturbances and supports decision-making in maintenance and quality management processes. The proposed framework integrates knowledge from corrosion engineering with safety-oriented system analysis and introduces structured coding logic linking disturbances, degradation signals, and adaptive maintenance actions. This approach may contribute to more effective monitoring and management of industrial infrastructure operating in aggressive coastal environments.
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(Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )The paper presents a discussion of sonar target positioning in side-scan surveys. Practical experience shows that, regardless of layback uncertainty and vessel position error, an additional along-track component of uncertainty is observed during the processing of side-scan sonar data. This component is assumed to result from a delay in sonar data acquisition. It can be a significant issue because it is included in the calculation of the final target position during sonogram georeferencing and contributes to the overall horizontal linear uncertainty along the sonar track. This paper includes a theoretical analysis of the problem as well as empirical calculations based on real measurements. The aim is to investigate the magnitude of this additional error and, in the future, propose methods to reduce it while identifying its possible causes. The paper uses the recommended method for determining the final position of an object on the seafloor and proposes this method as a tool for calculating the total horizontal linear error along the sonar track.
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(Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )This study investigates post-stall damage identification and vibration characteristics of the AMT Olympus micro gas turbine following a compressor surge event. The engine, primarily used for UAV propulsion, experienced rotor damage and increased imbalance during acceptance testing under steady-state conditions. Experimental diagnostics included measurements of rotational speed, vibration levels at compressor and turbine bearing planes, pressure, and temperature. The results reveal a significant increase in vibration amplitudes correlated with rotational speed. A spectral analysis identified rotor rubbing phenomena and imbalance signatures, providing insight into damage progression. This study highlights the diagnostic value of steady-state vibration monitoring for early fault detection in micro gas turbines and recommends limiting operational speeds to below 88% of the maximum allowable rpm during testing to ensure safety. Additionally, design flaws in the starter clutch system have been identified, suggesting improvements to future engine reliability. These findings contribute to enhanced engine health monitoring and maintenance strategies for micro-class turbine engines in UAV applications.
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(Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )The maritime transport industry plays a key role in global trade and is also a significant emitter of greenhouse gases. Although literature on maritime decarbonization, regulations, technological change, and fragmented supply chains exists, it does not yet offer a tool that fully integrates these interrelated issues and has been empirically tested. The present study proposes and tests a multidimensional maritime transport transformation scale that covers supply chain disruptions, sustainability challenges, and carbon emission reduction initiatives. Forty-eight items across four constructs were developed from a literature review and piloted with 55 maritime and supply chain professionals. The results revealed that the instrument has high internal consistency (Cronbach’s α = 0.963), a sampling adequacy value of 0.608, and a theoretically derived four-factor model that explains 53.13% of the total variance. The scale shows preliminary reliability and structural validity, offering a robust tool for future maritime sustainability research and evidence-based decision-making
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(Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )This paper presents the results of a study aimed at improving the accuracy of the recently published SATUFER method for estimating the dilution level of lubricating oil with diesel oil. It used the measured value of oil kinematic viscosity and known reference values of kinematic viscosity at the same temperature for fresh lubricating oil and diesel oil fed to the engine. This method was based on the REFUTAS algorithm for the analytical determination of the viscosity of a mixture with known mass shares and viscosities of the components. The correction factor K used in the formula estimating the concentration of diesel in the lubricating oil was Pareto optimized in the range 0.0–1.0 to minimize the value of the maximum absolute fitting error, δmax, and maximize the coefficient of determination, R2 , determined for the function estimating the degree of dilution of the lubricating oil with diesel relative to a known reference value. The analysis used a dataset of kinematic viscosity values for blends of SAE 30 or SAE 40 viscosity grade lubricating oil with B7 diesel oil at concentrations of 0, 1, 2, 5, 10, 20, 30, 40, 50, 75, and 100% m/m diesel oil in the blend at temperatures of 40, 50, 60, 70, 80, 90, and 100 °C. For each mixture, an estimated dilution level was calculated using the SATUFER method, and the result was presented with a known reference value. The results of the analysis for the assumptions presented in this article indicated that the initial value of the K-factor for further analysis was K = 0.53 instead of the initial value of K = 0.80 adopted in the REFUTAS method, which was the basis for the proposed and developed SATUFER method.
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Experimental results of heave and pitch motions of a ship with two stern shapes (transom and canoe) (Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie, )The seakeeping performance of ships is a critical factor in ship design, influencing both safety and efficiency. This paper examines the effect of two stern shapes (i.e., transom and canoe) on the response of the heave and pitch motions of a ship. The original U-shaped stern is redesigned into a curved shape by adjusting the longitudinal and transverse control points of the hull. The curvature starting point is positioned at 0.04L from the stern perpendicular toward the bow. After designing and constructing the modified model, the response amplitude operator (RAO) of the heave and pitch motions for regular waves in a towing tank test is analyzed under three different speeds and six wave frequencies. The results reveal that the transom stern shows slightly higher heave RAO values than the canoe stern, while demonstrating improved performance in pitch motion. Overall, the canoe stern exhibits a 5–15% reduction in total motion response compared with the transom stern.
