As a storage area of dangerous chemicals, oil and gas storage areas are prone to major leakage, fire and explosion accidents. In order to study the multi-factor catastrophic effect of the oil and gas storage tank under the influence of the domino accident, the non-linear relationship between the various disaster factors in the oil and gas storage tank area is obtained through the analysis of the multi-factor cooperative coupling in other research fields. The accident scene is based on the evolution of the scene, the establishment of Bayesian network based on multi-factor disaster accident model. Based on the actual case and the established model, the risk of disaster control in the oil and gas storage tank area is analyzed. The results show that the accident propagation path can be effectively cut off, the various hazard factors can be reduced and the probability of accident occurrence can be reduced.
A series of sustainable porous carbon materials were prepared from waste polyurethane foam and investigated for capture of CO2. The effects of preparation conditions, such as precarbonization, KOH to carbon precursor weight ratio, and activation temperature, on the porous structure and CO2 adsorption properties were studied for the purpose of controlling pore sizes and nitrogen content and developing high-performance materials for capture of CO2. The sample prepared at optimum conditions shows CO2 adsorption capacities of 6.67 and 4.33 mmol·g(-1) at 0 and 25 °C under 1 bar, respectively, which are comparable to those of the best reported porous carbons prepared from waste materials. The HCl treatment experiment reveals that about 80% of CO2 adsorption capacity arises from physical adsorption, while the other 20% is due to the chemical adsorption originated from the interaction of basic N groups and CO2 molecules. The relationship between CO2 uptake and pore size at different temperatures indicates that the micropores with pore size smaller than 0.86 and 0.70 nm play a dominant role in the CO2 adsorption at 0 and 25 °C, respectively. It was found that the obtained carbon materials exhibited high recyclability and high selectivity to adsorption of CO2 from the CO2 and N2 mixture.
Nanolattice structure fabricated by two‐photon lithography (TPL) is a coupling of size‐dependent mechanical properties at micro/nano‐scale with structural geometry responses in wide applications of scalable micro/nano‐manufacturing. In this work, three‐dimensional (3D) polymeric nanolattices are initially fabricated using TPL, then conformably coated with an 80 nm thick high‐entropy alloy (HEA) thin film (CoCrFeNiAl 0.3 ) via physical vapor deposition (PVD). 3D atomic‐probe tomography (APT) reveals the homogeneous element distribution in the synthesized HEA film deposited on the substrate. Mechanical properties of the obtained composite architectures are investigated via in situ scanning electron microscope (SEM) compression test, as well as finite element method (FEM) at the relevant length scales. The presented HEA‐coated nanolattice encouragingly not only exhibits superior compressive specific strength of ≈0.032 MPa kg −1 m 3 with density well below 1000 kg m −3 , but also shows good compression ductility due to its composite nature. This concept of combining HEA with polymer lattice structures demonstrates the potential of fabricating novel architected metamaterials with tunable mechanical properties.
The “rolled-up island-bridge” design enables the wire-shaped stretchable micro-supercapacitor array to achieve a high linear/areal energy density (7.94 μW h cm−1/7.22 μW h cm−2), large elongation (100%), and stable and tunable electrochemical output.
The application of solar energy to convert CO2 into high-value chemicals and fuels has been considered a highly desirable approach to relieving the greenhouse effect and energy crisis. However, the exploration of appropriate photocatalysts remains a major challenge. Combining the respective advantages of covalent organic frameworks and metal-organic frameworks to construct covalent metal-organic frameworks (CMOFs) can be a valid strategy to provide efficient, reliable, and eco-friendly photocatalysts. In this study, a CuI cluster-based CMOF (JNM-2) is used as a photocatalyst for CO2 photoreduction under visible-light irradiation. JNM-2 exhibits remarkable efficiency in photocatalytic CO2 reduction with high production rates of HCOOH (9019 μmol g-1 h-1 ) and CO (835 μmol g-1 h-1 ). The active center, reaction intermediates, and product generation pathways are elucidated by in situ DRIFTS and DFT calculations. This work demonstrates the tremendous possibilities of CMOFs as photocatalysts for CO2 reduction and provides profound insights into the mechanism of CO2 conversion into HCOOH/CO by using a molecularly accurate structural model.
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