Since the outbreak of COVID-19, a large number of passengers infected on multiple cruise ships have exposed the shortcomings of existing ship design methods in epidemic prevention functions. This paper proposes a risk analysis method based on people flow simulation to address the risk of infectious diseases caused by flow of people on board. The internal spatial characteristics and people flow simulation model of a ship with medical function are constructed in the current study. The people flow under specified operation conditions is then simulated based on the cellular automata method. The risk level of various places within the ship’s space are obtained by combining with the infection probability model of a specific virus strain. The analysis results show that the overall layout design of the target ship based on the principle of zoning management can control the risk of infection transmission to a certain extent, but it is still necessary to further optimize the details of the cabin passage layout and daily management. The analysis methods and examples used in the current study can provide references for the epidemic prevention design of the general arrangement of ships and give suggestions for the management of the onboard people flow under the epidemic situation.

When a ship navigates through ice areas, structural and vibration responses will be generated on the ship hull under the collision of sea ices. The magnitude of the response is highly correlated with the factors such as sea ice conditions, ship speed, structural stiffness, and measurement position. To be distinguished from the localized structural vibration, the global motion and vibration response of the ship can be referred to as ship bumping, which has a large impact on the functionality of the shipboard equipment, easily resulting in various issues such as lessening of the fastenings. The ship bumping in ice has been examined based on the data measured by the distributed accelerometers on board the icebreaker Xuelong II during the voyage in the Antarctic ice area. The events of ship bumping in ice are identified by the neural network method based on the time-frequency analysis. The ship bumping signals are separated by the frequency spectral analysis to extract the key parameters of the ship bumping in ice, such as the acceleration amplitude, pulse width, and the occurring frequency. The identification and analysis methods are finally established. On this basis, the data of ship bumping in ice of various typical scenarios are analyzed to investigate the influence of sea-ice environment, ship speed, and measurement position on the key parameters of the ship bumping. The requirements of the capability of shipboard equipment to withstand bumping under different sea-ice conditions are then summarized to provide references for the selection of polar ship equipment.

The vibration and noise reduction of the heating, ventilation and air conditioning (HVAC) system is one of the most important issues for the scientific research vessels, because the noise of the HVAC system will not only affect the sea trials that are carried out by the scientists, but also have a great influence on the work and life of the crew. It introduces the vibration and noise reduction characteristics of the HVAC system for the “Dongfanghong 3” scientific research ship. It also presents the methods and measures for the vibration and noise reduction design of the HVAC system. It can provide reference for the research of the vibration and noise reduction technology for the HVAC system of scientific research vessels and similar ships.