Risk factor identification is the basis for risk assessment. To quantify the safety risks of unmanned vessels in inland rivers, through analysis of previous studies, the safety risk impact factor framework of unmanned vessels in inland rivers is established based on three aspects: the ship aspect, the environmental aspect, and the management and control aspect. Relying on Yangtze River, a fuzzy Bayesian network of the sailing safety risk of unmanned ships in inland rivers is constructed. The proposed safety risk model has considered different operational and environmental factors that affect shipping operations. Based on the fuzzy set theory, historical data, and expert judgments and on previous works are used to estimate the base value (prior values) of various risk factors. The case study assessed the safety risk probabilities of unmanned vessels in Yangtze River. By running uncertainty and sensitivity analyses of the model, a significant change in the likelihood of the occurrence of safety risk is identified, and suggests a dominant factor in risk causation. The research results can provide effective information for analyzing the current safety status for navigation systems of unmanned ships in inland rivers. The estimated safety risk provides early warning to take appropriate preventive and mitigative measures to enhance the overall safety of shipping operations.
The thermodynamic functions of A-TiO2 nano-materials with different shapes (nanowires, nanotubes, nanoflakes and nanoparticles) were investigated by Faraday's law and open-circuit potentiometry. The results showed that the A-TiO2 nanoparticles have the highest chemical activity (nanoparticles > nanoflakes > nanotubes > nanowires) at the same size, and the corresponding free energies and enthalpy are ΔG=-895.59kJ•mol -1 , ΔS=76.09J•K -1 mol -1 , ΔH=847.21kJ•mol -1 ;However, the stability of A-TiO2 nanowires is the best (nanowires > nanotubes > nanoflakes > nanoparticles), and the ionic diffusion coefficient is lower than other structures (nanowires < nanotubes < nanoflakes < nanoparticles). There are more surface-active spots in nanometer-sized A-TiO2, which makes it more likely to lose electrons in the equilibrium state. This work intends to provide a reference for the design and analysis of various nanostructured materials.
In this study, rod-like hydroxyapatite (HA) with uniform morphology and controllable particle size modified by doping with two different amino acids (alanine and threonine) was synthesized by a microwave hydrothermal method.
-SF 6 decomposition products can be used to detect partial discharge (PD), but the metal materials in a PD area can significantly affect SF 6 decomposition characteristics. Disregarding the effect of metal materials on such characteristics inevitably result in certain errors when using them to diagnose the internal insulation faults of gas-insulated switchgears. This paper investigates the influence regularity on the main stable decomposition components of SF 6 (namely SO 2 F 2 and SOF 2 ) of the commonly metal materials uesd in GIS, such as aluminum (Al), copper (Cu) and stainless steel (SS). Firstly, an experimental platform is constructed to simulate SF 6 decomposition under a PD area, and the influence regularities of Al, Cu and SS on the concentration, formation rate and saturation time of SO 2 F 2 and SOF 2 are obtained. Secondly, the influence mechanism of Al, Cu and SS are preliminary explored combined with the chemical activity of the metal materials.
Abstract. In view of functional analysis is the key work of quota design, we establish the AHP model based on FAST diagram analysis method and principal component analysis. It can design the system function so as to provide a scientific basis for investment quota allocation. On this basis, we establish the fuzzy function evaluation model, this model can comprehensive evaluation of overall function of the design. On one hand, it demonstrate the feasibility of the AHP function analysis model. On the other hand, it provides a simple method for the comprehensive evaluation of the overall function of scientific design.
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