Analysis of geodynamic activity in rock mass at opencast mines and tailings ponds of the Kachkanar Mining and Processing Plant

2020 ◽  
pp. 178-187
Author(s):  
A. A. Panzhin ◽  
A. A. Panzhina
Keyword(s):  
Rock Mass ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Processing Plant ◽  
Engineering Structures ◽  
Short Period ◽  
Opencast Mines ◽  
The Impact ◽  
Tailings Ponds ◽  
Geodynamic Activity

The article presents the procedure and findings of the research into the modern geodynamic activity of rock mass at the Kachkanar Mining and Processing Plant. The characteristics of the cyclic short-period movements are determined in the course of continuous monitoring by satellite geodesy facilities within a few hours or days. The geodynamic monitoring in opencast mines of Kachkanar MPP is conditioned by the specific tectonic structure of enclosing rock mass, in particular, by the impact of a set of the active tectonic faults intersecting opencast mines and tailings ponds. The amplitudes of displacements and straining are determined in horizontal plane, vertically and in three-dimensional space. The accuracy of geodetic data was analyzed using two independent methods. The Fourier analysis of space-and-time series of displacements determined prevailing frequencies of the cyclic short-period movements. The peak values in the periodograms fitted the period of the short-period strains. The role of the cyclic geodynamic movements in the formation of the general stress-strain behavior of rock mass in the area of opencast mines and tailings ponds of Kachkanar MPP, EVRAZ is illustrated. The geodynamic movements induce fatigue phenomena in structures and materials, loosening of adjacent rock mass of opencast mines, change in the strength properties of soil at the bottom of engineering structures and the thixotropy effect.

Efficient Analytical Upscaling of Conductivity Tensor for Three-dimensional Heterogeneous Anisotropic Formations

2020 ◽  
Author(s):  
Qinzhuo Liao ◽  
Gang Lei ◽  
Shirish Patil
Keyword(s):  
Order Approximation ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Perturbation Expansion ◽  
Gaussian Random Fields ◽  
Conductivity Tensor ◽  
Central Difference ◽  
Correlation Lengths ◽  
Non Gaussian ◽  
The Impact

<p>We propose an efficient analytical upscaling method to compute the equivalent conductivity tensor for elliptic equations in three-dimensional space. Our approach uses perturbation expansion and Fourier analysis, and considers heterogeneity, anisotropy and geometry of coarse gridblocks. Through low-order approximation, the derived analytical solution accurately approximates the central-difference numerical solution with periodic boundary conditions. Numerical tests are performed to demonstrate the capability and efficiency of this analytical approach in upscaling fluid flow in heterogeneous formations. We test the method in synthetic examples and benchmark cases with both Gaussian random fields and channelized non-Gaussian fields. In addition, we examine the impact of each parameter on the upscaled conductivity, and investigate the sensitivity of the variance and correlation lengths to the coefficients. We also indicate how to extend this approach to multiphase flow problems.</p>

scholarly journals Analysis of the Risk Impact of Implementing Digital Innovations for Logistics Management

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 815 ◽  
Author(s):  
Agnieszka Barczak ◽  
Izabela Dembińska ◽  
Łukasz Marzantowicz
Keyword(s):  
Digital Technology ◽  
Three Dimensional ◽  
Digital Technologies ◽  
Social Engineering ◽  
Historical Change ◽  
Logistics Management ◽  
Engineering Structures ◽  
Technology Applications ◽  
Distinct Features ◽  
The Impact

The emergence of digital technology is a paradigmatic historical change. As a process of transforming social engineering structures, digitization has had a ubiquitous impact on the organization of structures and business logic, as well as on economic principles and rules. The fertile ground for digital technology applications is logistics management, which manifests itself in the dynamic development of logistics 4.0. Increasingly, it is pointed out that digital technology has some distinct features that have fundamental implications for innovation. The aim of the present study is to determine the impact of the risk of implementing digital technologies for logistics management. The study was conducted using the standardized questionnaire interview method with representatives of the management of enterprises. The attempt was random. The sampling was made up of micro, small, medium, and large enterprises from the production and services sectors, having a logistics unit or a logistics division, located in the “Bisnode Poland” database. In total, 360 full interviews were carried out. For the study, we defined macro-environment, operational, functional, and microenvironment risks. The basic conclusion is that between each type of risk and the type of digital technologies used in the studied entities and their partners in the supply chain, there is a high and very high dependence in the case of three-dimensional printing (3D printing), artificial intelligence, blockchain, drones, augmented reality, and self-propelled vehicles.

scholarly journals LiDAR-Based Bridge Displacement Estimation Using 3D Spatial Optimization

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7117
Author(s):  
Gichun Cha ◽  
Sung-Han Sim ◽  
Seunghee Park ◽  
Taekeun Oh
Keyword(s):  
Laser Scanning ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Vertical Displacement ◽  
Spatial Optimization ◽  
Space Partitioning ◽  
Engineering Structures ◽  
Displacement Estimation ◽  
Long Time ◽  
Three Dimensional Space

As civil engineering structures become larger, non-contact inspection technology is required to measure the overall shape and size of structures and evaluate safety. Structures are easily exposed to the external environment and may not be able to perform their original functions depending on the continuous load for a long time. Therefore, in this study, we propose a method for estimating the vertical displacement of structures using light detection and ranging, which enables non-contact measurement. The point cloud acquired through laser scanning was rearranged into a three-dimensional space, and internal nodes were created by continuously dividing the space. The generated node has its own location information, and the vertical displacement value was calculated by searching for the node where the deformation occurred. The performance of the proposed displacement estimation technique was verified through static loading experiments, and the octree space partitioning method is expected to be applied and utilized in structural health monitoring.

RESEARCH OF SHORT-PERIOD GEODYNAMICS OF ROCK ARRAY OF KACHKANAR MINING AND PROCESSING PLANT

2020 ◽  
Vol 2 (1) ◽  
pp. 318-329
Author(s):  
A.A. PANZHIN ◽  
◽  
N.A. PANZHINA ◽  
Keyword(s):  
Strength Properties ◽  
Point System ◽  
Processing Plant ◽  
Engineering Structures ◽  
Dynamic Activity ◽  
The North ◽  
Short Period ◽  
Tectonic Disturbances ◽  
Deformation Processes ◽  
Western Side

This paper presents the methodology and results of the study of modern short-period geodynamics of the activity of the rock mass of the Kachkanar mining and processing plant (MPP). The determination of the parameters of geodynamic movements is carried out in the form of continuous monitoring by satellite geodesy complexes over a point system for several hours or days. The need to conduct studies on the organization of geodynamic monitoring in the quarries of the Kachkanarsky MPP is due to the peculiarities of the tectonic structure of the enclosing massif, in particular, the influence of a series of active tectonic disturbances crossing the quarries and tailings. The manifestations of geo-dynamic activity, which is realized in the form of trend and cyclical short-period shifts in tectonic disturbances, are associated with deformation processes occurring on the north-western side of the Main Quarry, as well as a breakthrough of the tailings dam. The role of cyclic geodynamic movements in the formation of the general stress-strain state of the area where quarries and tailings are located is shown. At the same time, these geodynamic movements lead to the formation of fatigue effects in structures and materials, “loosening” of the massif of rocks composing the instrument massif, a change in the strength properties of soils at the base of engineering structures, and the manifestation of the thixotropy effect.

The problem of conflicting reference frames when investigating three-dimensional space in surface-dwelling animals

2013 ◽  
Vol 36 (5) ◽  
pp. 564-565 ◽  
Author(s):  
Francesco Savelli ◽  
James J. Knierim
Keyword(s):  
Empirical Analysis ◽  
Reference Frames ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Local Reference ◽  
Surface Dwelling ◽  
The Impact ◽  
Experimental Strategies ◽  
Three Dimensional Space

AbstractIn a surface-dwelling animal like the rat, experimental strategies for investigating the hippocampal correlates of three-dimensional space appear inevitably complicated by the interplay of global versus local reference frames. We discuss the impact of the resulting confounds on present and future empirical analysis of the “bicoded map” hypothesis by Jeffery and colleagues.

scholarly journals DEVELOPMENT AND IMPLEMENTATION OF INNOVATIVE EDUCATIONAL MODULES ON ARCHITECTURAL PHOTOGRAMMETRY FOR BACHELOR’S DEGREE CURRICULA IN ARCHITECTURE

2019 ◽  
Vol XLII-5/W3 ◽  
pp. 115-120
Author(s):  
R. Shults
Keyword(s):  
Architectural Design ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Engineering Structures ◽  
Design Problems ◽  
Close Range ◽  
Dimensional Models ◽  
Three Dimensional Models ◽  
Key Participants ◽  
Educational Modules

Abstract. Modern specialists in the field of architecture work exclusively in three-dimensional space. At the same time, their training completely ignores the state-of-the-art technologies associated with obtaining three-dimensional models of engineering structures. In such circumstances, the connections between the three key participants in the design and construction of engineering structures, namely architects, builders, and surveyors are broken. The main technology that allows obtaining three-dimensional models is photogrammetry. The purpose of the presented article is to determine the subject matter of close-range photogrammetry in solving architectural design problems. Based on certain architectural tasks, educational modules for the discipline of architectural photogrammetry of the bachelor educational level were developed. The peculiarity of the proposed program is that it is designed in such a way that it allows using the whole complex of the modern achievements in the field of automated image processing and the specifics of setting and solving architectural problems. At the same time, this program covers such modern technologies and concepts as UAV photogrammetry, digital photogrammetry, photogrammetric scanning, BIM, GIS, etc. Such an approach allows students without problems to learn several special knowledge, which is owned by surveyors and photogrammetrists. The approximate content of the course of architectural photogrammetry for bachelor students is presented.

Residue mutations and their impact on protein structure and function: detecting beneficial and pathogenic changes

2013 ◽  
Vol 449 (3) ◽  
pp. 581-594 ◽  
Author(s):  
Romain A. Studer ◽  
Benoit H. Dessailly ◽  
Christine A. Orengo
Keyword(s):  
Protein Structure ◽  
Dimensional Space ◽  
Rapid Change ◽  
Three Dimensional ◽  
Present Review ◽  
Dimensional Structure ◽  
Structural Level ◽  
Structural Constraints ◽  
Functional Sites ◽  
The Impact

The present review focuses on the evolution of proteins and the impact of amino acid mutations on function from a structural perspective. Proteins evolve under the law of natural selection and undergo alternating periods of conservative evolution and of relatively rapid change. The likelihood of mutations being fixed in the genome depends on various factors, such as the fitness of the phenotype or the position of the residues in the three-dimensional structure. For example, co-evolution of residues located close together in three-dimensional space can occur to preserve global stability. Whereas point mutations can fine-tune the protein function, residue insertions and deletions (‘decorations’ at the structural level) can sometimes modify functional sites and protein interactions more dramatically. We discuss recent developments and tools to identify such episodic mutations, and examine their applications in medical research. Such tools have been tested on simulated data and applied to real data such as viruses or animal sequences. Traditionally, there has been little if any cross-talk between the fields of protein biophysics, protein structure–function and molecular evolution. However, the last several years have seen some exciting developments in combining these approaches to obtain an in-depth understanding of how proteins evolve. For example, a better understanding of how structural constraints affect protein evolution will greatly help us to optimize our models of sequence evolution. The present review explores this new synthesis of perspectives.

Bats Versus Bugs: Collective Behavior of Prey Decreases Predation in a Biologically-Inspired Multi-Agent System

2013 ◽  
Author(s):  
Yuan Lin ◽  
Nicole Abaid
Keyword(s):  
Collective Behavior ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Biologically Inspired ◽  
Agent Based ◽  
Big Brown Bats ◽  
Hunting Success ◽  
Multi Agent ◽  
The Impact ◽  
Three Dimensional Space

In this paper, we establish an agent-based model to study the impact of collective behavior of a prey species on the hunting success of predators inspired by insectivorous bats and swarming insects, called “bugs”. In the model, we consider bats preying on bugs in a three-dimensional space with periodic boundaries. The bugs follow one of the two regimes: either they swarm randomly without interacting with peers, or they seek to align their velocity directions, which results in collective behavior. Simultaneously, the bats sense their environment with a sensing space inspired by big brown bats (Eptesicus fuscus) and independently prey on bugs. We define order parameters to measure the alignment and cohesion of the bugs and relate these quantities to the cohesion and the hunting success of the bats. Comparing the results when the bugs swarm randomly or collectively, we find that collectively behaving bugs tend to align, which results in relatively more cohesive groups. In addition, cohesion among bats is induced since bats may be attracted to the same localized bug group. Due to the fact that bats need to hunt more widely for groups of bugs, collectively behaving bugs suffer less predation compared to their randomly swarming counterparts. These findings are supported by the biological literature which cites protection from predation as a primary motivator for social behavior.

Localization Algorithm for Three-Dimensional Space of Building Based on ZigBee Wireless Networks

2014 ◽  
Vol 926-930 ◽  
pp. 1546-1549
Author(s):  
Yun Hong Liu ◽  
Tong Wei Niu
Keyword(s):  
Wireless Networks ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Signal Strength ◽  
High Accuracy ◽  
Localization Algorithm ◽  
Received Signal Strength Indicator ◽  
Spatial Environment ◽  
The Impact ◽  
Three Dimensional Space

ZigBee wireless networks can be used for locating the objects monitored inside the building, in which the location method based on RSSI (Received Signal Strength Indicator) has a broad range of application. For the complex spatial environment of the building, a three-dimensional localization algorithm will be proposed in this paper which can achieve high accuracy of location, meanwhile mitigate the impact of the RSSI error on the location results efficiently. This method is applicable to the NLOS environment in condition of multi-barrier.

Neural-Network Midcourse Guidance with Consideration of the Head-on Attack Condition

2005 ◽  
Vol 277-279 ◽  
pp. 857-864
Author(s):  
Eun-Jung Song ◽  
Miok Joh ◽  
Gwang Rae Cho
Keyword(s):  
Neural Network ◽  
Coordinate Transformation ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Impact Angle ◽  
Training Data ◽  
Guidance Law ◽  
The Neural Network ◽  
Midcourse Guidance ◽  
The Impact

The objective of this study is to enhance neural-network guidance to consider the impact condition. Missile impact angle error, a measure of the degree to which the missile is not steering for a head-on attack, can have a significant influence on the final miss distance. Midcourse guidance using neural networks is employed to reduce the deviation angle from head-on effectively in the three-dimensional space. In addition, a coordinate transformation is introduced to simplify the three-dimensional guidance law and reduce training data for the neural network. Computational results show that the current neural-network guidance law with the coordinate transformation can be used to reduce the impact angle errors.

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