The Influence of the Inclination of Lattice Columns on the Safety of Combined Tower Crane

The combined tower crane foundation is widely used in construction sites due to its advanced utilization rate. However, the immature construction method, unavoidable construction deviation during the installation process, and influence of the surrounding construction generally cause the lattice columns to tilt. As the main force transmission components of the tower crane foundation, once its stress and deformation exceed the limit, the entire tower crane will collapse, which requires engineers to accurately control its safety. Therefore, the objective of the work reported here was to study the safety of the lattice columns during operation. A geometrically nonlinear finite element model was utilized to simulate the strain and deformation capacity of tower cranes under various working conditions, including vertical and inclined working conditions, operation and shutdown conditions, and conditions with the tower boom in different orientations. In addition, this study combines the simulation with the on-site measurement. The results of on-site measurement were also recorded to verify the correctness of the proposed calculation model. It was concluded that the inclination of lattice columns has a significant effect on the deformation and stress of the lattice columns of the tower crane foundation, and the measured data and the calculated data trend are consistent. Engineers can accurately judge the safety of the lattice columns of the tower crane foundation through geometric nonlinear finite element model analysis and on-site monitoring to avoid the failure of the lattice columns and the occurrence of safety accidents.

Modeling and Simulation of Consumer Preference Decision for Commercial Complex Location Based on System Dynamics

The influencing factors of consumer shopping behavior play a key role in the later performance of commercial real estate enterprises. On the basis of analyzing the influence factors of customer patronage and the influence factors of commercial complex site selection decision and their relationship, a causal relationship graph and a system dynamic model are established, which can describe the influence of customer preference on commercial complex site selection decision. And introducing customer subjective factors optimize the original pure objective factors site selection decision model. The model is implemented by using the system dynamics modeling tool Vensim. At the same time, the model is verified by using the data of the first-hand investigation. The results show that the calculated data of the model is in good agreement with the actual data. The results show that the system dynamics method can effectively simulate the influence of various factors on the decision-making of the commercial complex. As the forecast of the model, the key indexes of the decision-making of the city commercial complex are discussed, and the measures to be taken are put forward, which can provide reference for the decision-making of the location.

Simulation of the electroerosion treatment process using neural networks

The paper provides formalization and construction of a model of the process of electrical discharge machining. When describing the process, a T-shaped equivalent circuit containing an RLC circuit was used. Determine the transfer function of the proposed substitution scheme. Also, a task is formulated and an algorithm for neural network parametric identification of a T-shaped equivalent circuit is proposed. The problem is posed and an algorithm is developed for neural network parametric identification of the equivalent circuit with a computational experiment, the formation of training samples on its basis, and the subsequent training of dynamic and static neural networks used in the identification problem. The process was simulated in Simulink, Matlab package. Acceptable coincidence of the calculated data with the experimental ones showed that the proposed model of electrical discharge machining reflects real electromagnetic processes occurring in the interelectrode gap.

DFT and TD-DFT study of adsorption behavior of Zejula drug on surface of the B12N12 nanocluster

The adsorption of the Zejula drug on the surface of B12N12 nanocluster has studied using DFT and TD-DFT. The quantum calculations have performed at the M062X/6–311 + + G(d,p) level of theory in the solvent water. The adsorption of the Zejula from N13 atom on the B12N12 leads to the higher electrical conductivity due to the low Eg rather. The change of DM also displays a charge transfer between Zejula and nanocluster. The UV absorption and IR spectra were calculated. The adsorption of Zejula drug over B12N12 nanocluster in the complexes Zejula/B12N12 can be considered as a bathochromic shift. According to QTAIM analysis, -G(r)/V(r) values for B-O and B-N bonds confirming the electrostatic and partial covalent character. The values of LOL and ELF confirm that the interactions are dominated by electrostatic interaction contributions. The calculated data reveal the B12N12 nanocluster can be appropriate as a biomedical system for the delivery of Zejula drug.

The KAMAZ electric bus simulation model movement verification

Introduction (problem statement and relevance). Currently, one of the main and promising directions in the automotive industry is the development of the electric vehicle and charging infrastructure sector. The constant tightening of environmental requirements, the development of traction batteries (TAB) and automotive electronics are the main factors in the development of wheeled electric vehicles. The operation of electric buses on urban routes in modern cities is one of the promising developments of electric buses use. But the problem is, the TAB capacity, its resource and cost are still limited, therefore a key task in the development of an electric vehicles the choice of the most effective control algorithms and components of the traction electric drive (TED). The solution to this problem requires working out a simulation model, the accuracy and complexity of which must satisfy the chosen goal.The purpose of the study was to develop and verify a KAMAZ 6282 electric bus simulation model basing on experimental data.Methodology and research methods. The article presents an experimental and calculated data analysis of the main electric bus movement modes when driving in a city: acceleration, coasting, braking, upward movement.Scientific novelty and results. Basing on comparing the experimental and calculated data results, it has been determined that the presented simulation model of the electric bus was sufficient and adequate to determine the main performance indicators of the TED.Practical significance. The presented simulation model made it possible to analyze the performance indicators, on the basis of which the selection of the optimal TED components could be carried out. The simplicity of the simulation model allowed it to be used as part of optimal control algorithms and evaluate the electric bus movement along a city route.

Active thermal interface graphene nanocomposites for thermal control of electronic and power devices

New experimental and calculated data are presented for active thermal interface materials, in which heat is removed not only due to high thermal conductivity, but also due to the evaporation of liquids, for example, water, inside a nanoporous graphene structure. It is shown that such active thermal interfaces may be new systems of active thermal control.

Dynamic Calculation of Electric Propulsion Motor Tandem Rotors

The article presents the results of modeling the dynamic response of the tandem rotors of ice-class vessel electric propulsion motors under extreme operating conditions. The loading of rotors by torques in combination with vibration transmitted through the supports to the electric motors is considered as an external non-stationary action. A method for constructing a three-dimensional finite element model of the structure under study by fragmentary assembly has been developed on the basis of the ANSYS Mechanical software package. A scheme of elastic-compliant 3D-links allowing simulating the reciprocating-rotational vibrations of a tandem of rotors is presented. A test example is used to verify the proposed mechanical-mathematical model of the torsion system. Based on the calculated data, the analysis of the dynamic parameters of the tandem rotors is performed for the most unfavorable operating scenarios.

Evaluation of Liver Enzymes and calculation of AST to ALT ratio in patients with acute viral hepatitis

Background: Acute viral hepatitis is a common liver-associated abnormality encountered in clinical practice. The number of biochemical parameters is estimated to detect a hepatic abnormality, which can measure the severity and types of damage to hepatocytes, among which liver enzymes and bilirubin levels are assessed routinely which are raised in acute viral hepatitis.Objective: This study aims to assess the liver enzymes, such as aspartate aminotransferase (AST), alanine aminotransferase (ALT), bilirubin, and calculation of AST to ALT ratio in acute viral hepatitis and to compare these parameters with the control group.Methodology: This study included a total of 81 subjects diagnosed with acute viral hepatitis as cases and age and sex-matched, the same number of healthy subjects as control. Serum levels of AST and ALT, alkaline phosphatase (ALP), and bilirubin were analyzed using standard methods. Serum AST to ALT ratio was calculated. Data analysis was done using SPSS Version 17.0 and the results were expressed as mean ±standard deviation (SD).Results: A mean serum activities of aminotransferases were statistically significantly raised in viral hepatitis compared to that in control.AST (514.85±350.66 VS 25.65±5.29; p<0.001) and ALT (781.65±525.69 VS 27.94±6.50; p<0.001). Similarly, serum levels of(ALP)were significantly increased in acute viral hepatitis compared to that in control (202.17±75.46 VS 98.83±27.99; p<0.001. However, a ratio of AST to ALT was decreased significantly (0.66±0.15 VS 0.94±0.21; p= 0.001) in acute viral hepatitis compared to that in control.Conclusion: Both the aminotransferases and bilirubin levels are raised significantly, where, a rise in ALT is greater than a rise in AST, hence, the ratio of AST to ALT is decreased significantly in acute viral hepatitis than that in control. Thus, this decreased pattern of AST to ALT can diagnose acute viral hepatitis at an early stage and can help appropriate care and treatment to the patients.

Cohesive Strength and Structural Stability of the Ni-Based Superalloys

The influence of alloying elements on the cohesive strength of metal heat-resistant alloys (HRAs) is analyzed. Special parameters are introduced to characterize the individual contribution of each alloying element. These are the partial molar cohesion energy of the matrix (χ) and the cohesive strength of the grain boundaries (η) and can be calculated by computer modeling based on the density functional theory. The calculating results of the parameters χ and η in nickel HRAs with mono– and polycrystalline structures alloyed with refractory metals are presented. The calculated data are used to select the chemical composition and develop new nickel (Ni) HRAs with superior creep-rupture properties. It is assumed that a similar approach can be used to search for alloying elements that will contribute to increasing the cohesive strength of additive objects. The resistance of coherent γ-γ’ and lamellar (raft) structures in nickel HRAs to the process of diffusion coarsening during operation is analyzed.

The Value Of Buildings And Structures For Permafrost Damage Prediction: The Case Of Eastern Russian Arctic

The relevance of the study lay in the need to obtain reliable information on the possible economic consequences of changing geocryological conditions in the Russian Arctic, to find methods for preventing (reducing) potential damage, increasing the safety of the population and economy in the areas of the highest geocryological risks, and ensuring balanced socio-economic development in the Russian Arctic permafrost zone for the long term. The study aimed to assess the cost of fixed assets, including their most vulnerable part – buildings and structures (case study: municipalities of the Russian Arctic Asian sector). Economic sectoral structure was evaluated in accordance with the Russian Standard Industrial Classification of Economic Activities using primary statistical data – closed data from companies accounting reports. The work used statistical, cartographic, and visual-graphic methods, as well as methods for analyzing spatial information and microeconomic data. According to calculations, the Russian Arctic Asian sector concentrates the fixed assets of commercial companies with a total value of about 14.8 trillion rubles, including buildings and structures worth 10.7 trillion rubles. The obtained calculated data can be used in modeling the directions of state policy in the field of climate change adaptation and territory protection from natural hazards.