Optimization of fractional composition of the excipient in the elastomeric covering for asphalt highways

The computational method of optimum fractional composition of a dispersible filler of polymericcomposite on the basis of three-dimensionally linked elastomer is developed according to non-linearprogramming. The coefficient of dynamic viscosity of polymeric suspension or the initial module of aviscoelasticity of the join solidification low-molecular rubbers with the final functional groups, filled by manyfractional dioxide of silicon are considered as criteria of optimization. Influence of the limiting volume filling onenergy of mechanical destruction was investigated. The elastomeric material is offered for use as a covering ofasphalt highways in the form of a frost-proof waterproofing layer, which allowing multiply to increase operatingproperties

Bedload transport analysis using image processing techniques

Bedload transport is an important factor to describe the hydromorphological processes of fluvial systems. However, conventional bedload sampling methods have large uncertainty, making it harder to understand this notoriously complex phenomenon. In this study, a novel, image-based approach, the Video-based Bedload Tracker (VBT), is implemented to quantify gravel bedload transport by combining two different techniques: Statistical Background Model and Large-Scale Particle Image Velocimetry. For testing purposes, we use underwater videos, captured in a laboratory flume, with future field adaptation as an overall goal. VBT offers a full statistics of the individual velocity and grainsize data for the moving particles. The paper introduces the testing of the method which requires minimal preprocessing (a simple and quick 2D Gaussian filter) to retrieve and calculate bedload transport rate. A detailed sensitivity analysis is also carried out to introduce the parameters of the method, during which it was found that by simply relying on literature and the visual evaluation of the resulting segmented videos, it is simple to set them to the correct values. Practical aspects of the applicability of VBT in the field are also discussed and a statistical filter, accounting for the suspended sediment and air bubbles, is provided

Dependence of the mechanical fracture energy of the polymeric composite material from the mixture of filler fractions

This paper for the first time presents an equation for calculating the mechanical fracture energy of the polymeric composite material (PCM) with regard to the basic formulation parameters. By means of the developed computer program the authors calculated the mechanical fracture energy of the polymer binder of the 3D cross-linked plasticized elastomer filled with multifractional silica. The solution of the integral equation was implemented using the corresponding dependence of stress on relative elongation at uniaxial tension. Engineering application of the theory was considered with respect to asphalt road covering. The authors proposed a generalized dependence of ruptural deformation of the polymer binder from the effective concentration of chemical and physical (intermolecular) bonds for calculating the mechanical fracture energy of available and advanced PCMs as filled elastomers

Automated riverbed composition analysis using deep learning on underwater images

The sediment of alluvial riverbeds plays a significant role in river systems both in engineering and natural processes. However, the sediment composition can show high spatial and temporal heterogeneity, even on river-reach scale, making it difficult to representatively sample and assess. Conventional sampling methods are inadequate and time-consuming for effectively capturing the variability of bed surface texture in these situations. In this study, we overcome this issue by adopting an image-based deep-learning (DL) algorithm. The algorithm was trained to recognise the main sediment classes in videos that were taken along cross sections underwater in the Danube. A total of 27 riverbed samples were collected and analysed for validation. The introduced DL-based method is fast, i.e. the videos of 300–400 m long sections can be analysed within minutes with continuous spatial sampling distribution (i.e. the whole riverbed along the path is mapped with images in ca. 0.3–1 m2 overlapping windows). The quality of the trained algorithm was evaluated (i) mathematically by dividing the annotated images into test and validation sets and also via (ii) intercomparison with other direct (sieving of physical samples) and indirect sampling methods (wavelet-based image processing of the riverbed images), focusing on the percentages of the detected sediment fractions. For the final evaluation, the sieving analysis of the collected physical samples were considered the ground truth. After correcting for samples affected by bed armouring, comparison of the DL approach with 14 physical samples yielded a mean classification error of 4.5 %. In addition, based upon the visual evaluation of the footage, the spatial trend in the fraction changes was also well captured along the cross sections. Suggestions for performing proper field measurements are also given; furthermore, possibilities for combining the algorithm with other techniques are highlighted, briefly showcasing the multi-purpose nature of underwater videos for hydromorphological assessment.</p

Dependence of mechanical characteristics from composition and structure and optimization of mechanical fracture energy of polymer composite material based on high-molecular rubbers

By means of numerical experiment the authors investigate dependence of conventional rupturing stress and mechanical fracture energy at uniaxial tension from fractional composition of dispersed filler, plasticizer volume fraction in polymer binder, effective density of transverse bonds, applied to development of covering for different purposes and with advanced service life in temperature range from 223 to 323 K. They compare mechanical characteristics of polymer composite materials (PCMs) based on high- and low-molecular rubbers. It was shown that rupturing stress of high-molecular rubber-based PCM is of a higher magnitude than the stress of low-molecular rubber-based one at almost invariable rupturing deformation. Numerical simulation by variation of composition parameters and molecular structure enables evaluation of its maximum fracture energy which is 1000 times higher than mechanical fracture energy of similar composites based on low-molecular rubbers

Spatial Models Developed Using Laser Scanning at Gas Condensate Fields in the Northern Construction-Climatic Zone

Wide exploration and industrial exploitation of hydrocarbon fields in Yamal Peninsula pose in front of construction and mining companies critical problems of efficient construction at constantly evolving fields taking into account climatic and geocryological conditions of their location. Yamal Peninsula is characterized by unstable soils, the mobility of which has a substantial impact on the changes in spatial arrangement of field facilities, not only in the direct process of construction, but also during their scale-up and equipment overhaul. The paper examines implementation of 3D spatial arrangement modelling of industrial facilities into the process of construction and installation works at hydrocarbon fields in the northern construction-climatic zone. The purpose of implementing this method combined with 3D spatial modelling of equipment connections lies in reliability and safety enhancement of the facilities throughout their entire lifespan. Authors analyze statement and solution of the problem associated with alignment and installation of prefabricated equipment and pipelines, taking into account advanced technologies of 3D design and modelling. The study examines a 3D spatial model with the elements of equipment connection geometry; the model is related to existing production facilities at the field. Authors perform an analysis and in mathematical terms formulate the problem of optimal spatial arrangement for such models. The paper focuses on typical deviations, occurring in the installation process of constructions and connection facilities, their spatial arrangement is modelled. Possible solutions are offered, as well as an algorithm of their implementation at an operating field

STUDY OF CURRENT APPROACHES FOR WEB PUBLISHING OF OPEN SCIENTIFIC DATA

Subject of Study. The subject of study of this work is closely related to the development of tools and technologies for Internet publishing of open data in machine-readable formats with regard to data of universities, educational and research organizations and scientific laboratories. We analyze the trends in the publishing formats most commonly used including not only popular formats such as pdf, csv, excel, but also the Semantic Web formats such as RDF. The paper describes the way of scientific data publication in semantic formats on the example of import and convertation of the information from University database. Methods. We describe the methods of publication for scientific open data in the network consisting of a set of transformations of the original data sets to the final semantic representation. These transformation steps include data upload from a relational database, data mapping on the ontological model (schema) and the generation of a set of RDF-triples corresponding to the initial database fragment. A description is given to the popular open data publishing systems, such as CKAN, VIVO, and others. OpenLink Virtuoso system is selected as the primary storage and data publication. The description of RDF data model is used as a way of presenting open data of ITMO University. Main Results. The authors have described the methods of scientific open data publication and identified their shortcomings. To demonstrate the efficiency of the proposed method of university open data publication, a software prototype has been developed available online at: http://lod.ifmo.ru/. The example of the system usage is also given. Practical Relevance. Implementation of the proposed approach will improve significantly the effect of the publication of university open data and make it available for third-party applications, such as applications for information retrieval about educational activities and research results, analysis of scientific activities in universities and their research departments

Features of the metabolic syndrome and type 2 diabetes mellitus in schizotypal disorder

To describe the features and mechanisms of development of metabolic syndrome, type 2 diabetes melitus and intermediate states of glycemia in psychosis the occurrence of these disorders, the values of total cholesterol, fractions of high density lipoproteins, very low density lipoproteins, triglycerides, values of atherogenic coefficient, insulinemia, С-peptidemia, insulin resistance the level of glycated hemoglobin in a sample of patients with schizophrenia and in mentally healthy individual

Analytical hierarchy process as a tool supporting a decision-making for assessment of the risk of transboundary infectious animal disease introduction to the Russian Federation and previously disease-free territories

The livestock industry is increasingly taking its place in the economy of the Russian Federation. Its export potential is actively growing. Already, up to 10% of agricultural products are exported to foreign markets. The demand for food steadily increases during crises, which in turn increases the role of the veterinary service, whose tasks include protecting the country’s territory from the introduction of infectious diseases of animals from foreign countries; implementation of measures to prevent and eliminate infectious and other diseases in agricultural, domestic, zoo and other animals, fur-bearing animals, birds, fish and bees, as well as the implementation of plans of the regional veterinary service in the field of animal husbandry. The article assesses the validity of the possibilities and use of modern methods of analyzing and predicting the spread of animal morbidity, identifying cause-and-effect relationships and the extent of the spread of particularly dangerous animal diseases. The authors propose to consider the possibility of using the mathematical method of hierarchy analysis as a scientifically sound decisionmaking support tool when assessing the risk of introducing trans-border infectious animal diseases into previously prosperous territories of the Russian Federation. This approach can be used in the process of choosing the most appropriate alternative from several risk assessment options. The Hierarchy Analysis Method (MAI) is a mathematical tool for a qualitative systematic approach to solving decision-making problems. This method was developed by the American scientist Thomas Lewis Saati in 1970, since then it has been actively developing and widely used in practice. The hierarchy analysis method can be used not only to compare objects, but also to solve more complex management and forecasting tasks