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Elbow erosion, defined as wall thinning due to the continuous interactions between solid particles and surface, is a common phenomenon in catalyst addition/withdrawal pipeline systems used in residual oil hydrogenation units. This form of erosion can seriously affect the reliable pipeline operation. The present paper describes the construction of realistic cylindrical catalyst particles using the multi-sphere clump method and computational fluid dynamics/discrete element model simulations to study the erosion of pipe walls under different inlet velocities and particle aspect ratios. An optical shooting experiment is carried out to ensure the accuracy of the calculation method, and the model performance is compared using several existing drag models. The results show that the drag model of Haider & Levenspiel is more accurate than the others in revealing the actual cylindrical particle flow. A higher inlet velocity is observed to increase the kinetic energy of the particles and affect their spatial distribution. Specifically, when the Stokes number is greater than 113.7, the position of the maximum erosion rate shifts from the elbow’s outer wall to the inner wall. Cumulative contact energy is introduced to quantify two different types of particle-wall contacts. With a growing particle aspect ratio, the proportion of tangential energy gradually increases, which indicates that sliding is the main contact mode. The results presented in this paper provide a reference for engineering erosion calculations.

In the process of petrochemical production, the catalyst particles in the hydraulic conveying pipeline often cause wear failure accidents due to collisions with wall. Compared with spherical particles, non-spherical particles’ trajectory would be different due to its geometric shape, and thereby affecting the flow wear characteristics. In this paper, the shape of catalyst particle model with real aspect ratio was constructed by using multi-cluster method, and a CFD-DEM coupling method was adopted by considering the interaction between particle-particle and particle-wall. The study focuses on the effect of particle shape, radius of curvature and angle of bend in terms of the wear characteristics of liquid-solid two-phase flow. The results indicate that with the increase of the particle aspect ratio, the wear rate and the impact density of particles decrease while the impact velocity increases, the wear area of the elbow mainly distributes in the middle part of the outer wall, and its maximum position appears between 78° and 90° in polar coordinates; With the increase of pipe’s curvature radius, the main wear area changes due to the direct collision and the sliding friction of the particles along the pipe wall, and its maximum wear rate shows a downward trend due to the reinforce of buffering effect; With the decrease of bending angle, The main wear area decrease because of the changes in particle flow patterns and it is mainly located in the center of the outer wall.

A modified split Hopkinson pressure bar (SHPB) numerical testing system is established to study the characteristics of rocks under simultaneous static and dynamic loading conditions following verification of the capability of the SHPB numerical system through comparison with laboratory measurements (Liao et al. in Rock Mech Rock Eng, 2016 . doi: 10.1007/s00603-016-0954-8 ). Three different methods are employed in this numerical testing system to address the contact problem between a rock specimen and bars. The effects of stand-alone static axial pressure, stand-alone lateral confining pressures, and a combination of them are analyzed. It is determined that the rock total strength and the dynamic strength are greatly dependent on the static axial and confining pressures. Moreover, the friction along the interfaces between the rock specimen and bars cannot be ignored, particularly for high axial pressure conditions. Subsequently, the findings are applied to determine the dynamic behavior of rocks with in situ stresses. The effects of the magnitude of horizontal and vertical initial stresses at varied depths and their ratios are investigated. It is observed that the dynamic strength of deep rocks increases with increasing depth or the ratio of horizontal-to-vertical initial stresses ( K ). The dynamic behavior of deeper rocks is more sensitive to K , and the rock dynamic strength increases faster with depth in areas with higher K .

FEM-based numerical testing systems of the split Hopkinson pressure bar (SHPB) and the split Hopkinson tensile bar (SHTB) are established to study the characteristics of rock materials under dynamic compressive and tensile loadings. First of all, the accuracy and applicability of the numerical testing system are validated and calibrated through comparison between the laboratory measurements and the simulation results. Subsequently, the dynamic behavior of rock is analyzed in detail with the numerical testing system followed by the underlying physical mechanism. For the SHPB tests, the simulation results demonstrate that the incident waveform is determined by the striker length, the striker shape and the pulse shaper. The dynamic increase factor (DIF) of the rock specimen varies with different impact velocities, which is attributed to the strain rate effect. The rock specimen size and bar size also have effects on the DIF. In addition, the interfacial friction between the rock specimen and the bars cannot be ignored. For the SHTB tests, it is found that the incident waveform is dependent on the striker tube length and the striker tube thickness. In addition, similar to the SHPB tests, the impact velocity, rock specimen size and bar size all have strong effects on the rock dynamic tensile strength.

Shared-link AXI provides decent communication performance and requires half the cost of its crossbar counterpart. The authors analysed the performance impact of the factors in a shared-link AXI system. The factors include interface buffer size, arbitration combination and task access setting (transfer mode mapping). A hybrid data locked transfer mode was also proposed to improve the performance due to AXI's extra transition cycle. The analysis is carried out by simulating a multi-core platform with a shared-link AXI backbone running a video phone application. The performance is evaluated in terms of bandwidth utilisation, average transaction latency and system task completion time. The analysis showed that channel-independent arbitration could contribute up to 23.2% of bandwidth utilisation and completion time difference. Moreover, the analysis suggests that the proposed hybrid data locked mode should be used only by long access latency devices. Such setting resulted in up to 21.1% completion time reduction compared with the setting without the hybrid data locked mode. The design options in shared-link AXI bus are also discussed.

Cross-reactivity between antibodies to different human coronaviruses (HCoVs) has not been systematically studied. By use of Western blot analysis, indirect immunofluorescence assay (IFA), and enzyme-linked immunosorbent assay (ELISA), antigenic cross-reactivity between severe acute respiratory syndrome (SARS)-associated coronavirus (SARS-CoV) and 2 HCoVs (229E and OC43) was demonstrated in immunized animals and human serum. In 5 of 11 and 10 of 11 patients with SARS, paired serum samples showed a ⩾4-fold increase in antibody titers against HCoV-229E and HCoV-OC43, respectively, by IFA. Overall, serum samples from convalescent patients who had SARS had a 1-way cross-reactivity with the 2 known HCoVs. Antigens of SARS-CoV and HCoV-OC43 were more cross-reactive than were those of SARS-CoV and HCoV-229E.

Taking advantage of the band-ratioing operation, principal component analysis (PCA), and multifractal model, the OLI image was employed to extract iron - stained and hydroxyl alteration in and around the Linghou copper-polymetal mine. Findings showed that the extraction results successfully bypassed the interferences caused by the quite thick vegetational and sedimentary covers, and can accurately locate the Linghou diggings, as well as several suspected ore spots. This study may have contributed a useful case study for in-depth geological remote-sensing analysis.

The occurrence and development of the dominant unsteady flow structures in a vanless centrifugal pump impeller are revealed by the proper orthogonal decomposition (POD) method. The pressure and velocity data of four radial surfaces is selected as the variables of decomposition. The results show that this method is beneficial to the analysis of flow field when there is no strong interaction of flow structures. When the flow rate starts to decrease from the design flow rate, unstable flow phenomenon such as flow separation and wake begin to appear and develop in the impeller. The POD analysis reveals the influence of the main unsteady structures on the flow field when there is no mixed or have little interaction among flow structures. It outlines the development of flow separation near the suction side of impeller and the wake near the trailing edge as the flow rate changes. However, the flow field inside the impeller becomes more and more complex as the operation condition is far away from the design condition, which needs to be combined with other methods to better analyze the flow field.

Feature selection and description is a key factor in classification of Earth observation data. In this paper a classification method based on tensor decomposition is proposed. First, multiple features are extracted from raw LiDAR point cloud, and raster LiDAR images are derived by accumulating features or the “raw” data attributes. Then, the feature rasters of LiDAR data are stored as a tensor, and tensor decomposition is used to select component features. This tensor representation could keep the initial spatial structure and insure the consideration of the neighborhood. Based on a small number of component features a k nearest neighborhood classification is applied.