| publications-5391 |
Conference paper |
2019 |
Gomez F.; Spencer B.F., Jr.; Smith M.D. |
Bayesian modeling updating of miter gates with uncertain boundary conditions |
Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring |
10.12783/shm2019/32129 |
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Navigational locks are critical infrastructure components; however, traditional inspection of the lock components, requires closing and dewatering the lock to perform visual inspections, which stops fluvial traffic and consequently presents significant economic losses. Moreover, the gates are typically the critical component in the navigational locks; due to impact or environmental deterioration, a gap occurs in the quoin between the gate and the wall, then the gap produces redistribution of the stresses that are rarely considered during the design of the gates, and this modification in the response accelerate the deterioration in some components of the gate. To overcome this challenge, previous researchers have presented structural health monitoring strategies for miter gates, for example, automated damage detection using strain gage measurements based on principal component analysis have been proposed. In this study, Bayesian model updating of miter gates with uncertain boundary conditions is presented with the following details: the uncertain boundary conditions are represented by the gap profile in the boundary with random depths at discrete locations, the slope of the strain gage measurements with respect to water levels is used as a representative damage feature, and a detailed finite element in Abaqus of the gate and the support is considered, where the gaps are modeled as nonlinear gap elements. Due to the large computational time required for the finite element model used, transitional Markov chain Monte Carlo simulation is implemented to sample the model parameters in high probability regions, from which statistical estimators are obtained. The results demonstrate the potential of the approach to perform Bayesian-based damage prognosis using digital twins. Β© International Workshop on Structural Health Monitoring. All rights reserved. |
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| publications-5392 |
Conference paper |
2020 |
Zhang X.; Liu Z.; Han B. |
Toward Digital Twins Based Marine SCADA System |
Proceedings of 2020 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2020 |
10.1109/ICAICA50127.2020.9182549 |
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As a software representation of assets and processes, digital twins is valuable for the design of future marine monitoring and control systems. Such a system usually requires the integration of technologies from cloud and edge, WebAccess/SCADA and SaaS Composer from Advantech Technology were adopted in our proposed framework for ships running in coastal waters and a digital twins based marine monitoring application was given in the paper. The framework is compatible with various network access technologies, including near shore oriented cellular communication and off shore oriented satellite communication. The focus of this paper is on how to realize the virtual modeling and innovated application with marine monitoring data and its universality can derive to more promising applications. Β© 2020 IEEE. |
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| publications-5393 |
Review |
2019 |
Delgado J.A.; Short N.M., Jr.; Roberts D.P.; Vandenberg B. |
Big Data Analysis for Sustainable Agriculture on a Geospatial Cloud Framework |
Frontiers in Sustainable Food Systems |
10.3389/fsufs.2019.00054 |
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Humanity is confronted with the grand challenge of how to increase agricultural production to achieve food security during the 21st century and feed a population that is expected to grow to 10 billion people. This needs to be done while maintaining sustainable agricultural systems and simultaneously facing challenges such as a changing climate, depletion of water resources, and the potential for increased erosion and loss of productivity due to the occurrence of extreme weather events. Precision Agriculture emerged out of the advances in the 1980s because of the development of several key technologies like GPS and satellite imagery. This paper argues that with the increasing impact of climate change, the next revolution in precision agriculture and agriculture in general will be driven by Sustainable Precision Agriculture and Environment (SPAE, similar to the 7 Rs), which could leverage past technologies combined with Big Data analysis. This new, technology-focused SPAE transitions from a site-specific management focus to the notion of global sustainability. To accomplish this transition, we introduced the WebGIS framework as an organizing principle that connects local, site-specific data generators called smart farms to a regional and global view of agriculture that can support both the agricultural industry and policymakers in government. This will help integrate databases located in networks of networks into a system of systems to achieve the needed SPAE management and connect field, watershed, national, and worldwide sustainability. Automation and the use of artificial intelligence (AI), internet of things (IoT), drones, robots, and Big Data serve as a basis for a global β€_x009c_Digital Twin,β€_x009d_ which will contribute to the development of site-specific conservation and management practices that will increase incomes and global sustainability of agricultural systems. Β© Copyright Β© 2019 Delgado, Short, Roberts and Vandenberg. |
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| publications-5394 |
Conference paper |
2019 |
Georges-Filteau D.; Bouchard J.; Desbiens A. |
A dynamic model of fluidized-bed flotation |
IFAC-PapersOnLine |
10.1016/j.ifacol.2019.09.165 |
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The concept of fluidized-bed flotation (FBF) (e.g. HydroFloatTM) was recently introduced to improve the recovery of coarse particles (425 to 1180 ΞΌm). In spite of encouraging results from the first industrial applications dating back more than a decade, FBF still remains an emerging technology in the global mining industry. This paper presents a dynamic model of a FBF cell based on first principles describing volume conservation balances and macro hydrodynamic conditions. It was specifically developed to address process design, monitoring, and control problems. The model relies on the drift-flux theory to predict the flow of three populations (free particles, attached particles and bubbles) throughout the proposed vertical mixer-in-series framework. A calibration of empirical parameters on literature data demonstrates the ability to reproduce the effect of operating parameters (airflow rate, fluidization water flow rate and bed height) on steady-state recovery as long as the equipment operates at low turbulence. Β© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
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| publications-5395 |
Conference paper |
2014 |
Scott-Emuakpor O.; George T.; Beck J.; Schwartz J.; Holycross C.; Shen M.H.H.; Slater J. |
Material property determination of vibration fatigued DMLS and cold-rolled nickel alloys |
Proceedings of the ASME Turbo Expo |
10.1115/GT2014-26247 |
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An experimental procedure for qualifying material properties from cyclically worked parts was investigated in support of aging gas turbine engines and digital twin initiatives. For aging components, remanufacturing or repair efforts are necessary to sustain the life cycles of engines; and for digital twin, the virtual representation of a part requires accurate geometric and component material property measurement. Therefore, having an effective, non-destructive way to assess the material performance of parts is necessary. Since low cycle, low strain, mechanical testing is the ideal experimental approach for nondestructively assessing material properties, investigating the accuracy and trends of tensile properties of fatigue loaded parts was important. The fatigued parts used for this study were specimens tested according to the George Fatigue Method, and the materials observed were cold-rolled Inconel Alloys 625 and 718, and direct metal laser sintering (DMLS) Nickel Alloy 718. The tensile material properties were compared against pristine (non-fatigued) and published data. The comparison for the cold-rolled 625 and 718 results show an increase and a decrease, depending on rolling direction, of tensile strength due to the effects of fatigue cycles; however, the variation of the vibration affected tensile properties are all within one standard deviation of the pristine data. The comparisons of DMLS Nickel Alloys was conducted against two sets of alloys from different suppliers, and the results showed that the tensile properties are sensitive to DMLS manufacturing parameters and post-sintering processes. A digital twin related, nondestructive, material property determination technique is also discussed in this manuscript. The true alloy density was determined with the water displacement method, and elastic modulus is determined with an iterative Ritz method model. The modulus is under-predicted with this method, but suggestions for improving the model are discussed. Copyright Β© 2014 by ASME. |
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| publications-5396 |
Article |
2020 |
Elkarii M.; Bouallou C.; Ratnani A. |
Towards modelling a diphasic flow using the CFD technique to achieve a digital twin of a phosphate slurry piping process |
Chemical Engineering Transactions |
10.3303/CET2081127 |
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This work concerns the transport of phosphate ores in the context of an industry 4.0. The process begins with the extraction of the ore, that is transported as pulp (Water + Phosphate) in a pipeline from the mine to the industrial units for its valorization to fertilizers. The phosphate pulp is transported in batches, separated by batches of water to control the quality and the flow of the pulp. The present work aims at developing and assessing a numerical model for solid-liquid mixtures using OpenFoam software, in order to investigate and control the dynamic behaviour of phosphate slurry flows under isothermal conditions. A Eulerian multiphase approach was used, where both liquid and solid phases are considered as continua. The Eulerian model is the most complex and computationally intensive among the multiphase models. It solves a set of momentum and continuity equations for each phase. Coupling is achieved through the pressure and interphase exchange coefficients. To describe particulate flow stresses, the kinetic theory of granular flow (KTGF) was employed. Model validation is demonstrated on a test case of pure sedimentation of suspended particles, for which the concentration profile data is reported in the literature. Β© 2020, AIDIC Servizi S.r.l. |
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| publications-5397 |
Conference paper |
2020 |
Gandzha S.; Aminov D.; Sogrin A. |
Development of water submersible gyro generator of combined excitation for energy development of small and medium rivers |
Proceedings - 2020 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2020 |
10.1109/ICIEAM48468.2020.9112084 |
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According to various estimates, the energy potential of small and medium-sized rivers in Russia and neighboring countries is several times higher than that of large rivers. However, not enough attention is paid to the development of this alternative energy sector. The article analyzes one of the possible solutions to this problem. A design is proposed, in which the hydro turbine is built into the generator, and the entire structure is placed in the water. As a hydro generator, a special electric machine-a generator of combined excitation is offered. The generator inductor has powerful permanent magnets and an excitation winding. The total magnetic flux, which induces EMF in the phase windings, consists of the flows of these two sources of a magnetic field. The magnetic flux from the magnets remains unchanged, and from the excitation winding, the magnetic flux can be added or subtracted from the flux of the magnets. Thus, the magnetic flux control function remains in the machine. The current supply to the armature winding and the excitation winding is contactless. This design allows you to reduce the size due to permanent magnets and simplify the electronic system of stabilization of the output voltage by regulating the low-power excitation circuit. The generator has a reversed design, that is, the stator is inside and the rotor is outside. This design simplifies the overall layout of the turbine. The design of the generator has a patent of the Russian Federation. For the development of generators of this type, a design CAD system was created, consisting of a subsystem for the synthesis of optimal geometry on the basis of multi-level single-criteria optimization and an analysis subsystem built using well-known software complexes based on the finite element method. As an example of the operation of the system, the results of the calculation of the 3 kW hydro generator are shown. Comparative results of the calculations for the electronic model and tests of the mock-up sample are presented. The developed digital model of the generator showed good convergence with the real generator on the main parameters and characteristics. Β© 2020 IEEE. |
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| publications-5398 |
Article |
2020 |
Pengnoo M.; Barros M.T.; Wuttisittikulkij L.; Butler B.; Davy A.; Balasubramaniam S. |
Digital Twin for Metasurface Reflector Management in 6G Terahertz Communications |
IEEE Access |
10.1109/ACCESS.2020.3003734 |
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The performance demands from data-intensive applications, such as multimedia streaming, as well as the growing number of devices connecting to the Internet, will increase the need for higher capacity wireless communication links. The research community has recently explored regions of the spectrum, including the Terahertz band (0.1 THz to 10 THz), that are underutilised for communications. THz frequencies come with a plethora of special challenges, one of which is the very narrow effective beam, thereby requiring a Line of Sight (LoS) between sender and receiver. Researchers have explored the use of reflectors that can redirect beams around blockages. In this paper, we propose a THz signal guidance system where a Digital Twin is used to model, predict and control the signal propagation characteristics of an indoor space. Our approach finds the best THz signal path from the base station to the mobile target via the tunable metamaterial walls, avoiding obstacles as needed, using geometric (ray tracing), path loss and Terahertz Potential Field (THzPF) models. With this knowledge, the digital twin guides the selection of antenna strips at a base station and the reflectors along the signal path. A top-view camera, with advanced image processing, provides context updates (obstacle and mobile target locations) to the digital twin. The image processing system also senses factors like water vapour concentration, and the material composition and surface roughness of obstacles. Such factors affect propagation strength, and the digital twin modifies the beam paths to adapt. Simulation results have shown the efficiency of our control system to maintain a reliable signal connection while minimising the use of antenna and reflector strips. Our system is the first proposal that maximises THz signal-to-noise ratio (SNR) through such a dynamic and robust control system, which integrates image processing of a room with base station configuration. Β© 2013 IEEE. |
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| publications-5399 |
Conference paper |
2018 |
Khakimov R.A.; Shcherbo N.S. |
Development and creation a model of a digital twin of the cubepart rectification installation for the separation of a binary water-alcohol mixture |
IOP Conference Series: Materials Science and Engineering |
10.1088/1757-899X/450/6/062006 |
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In article the way of creation of development of the digital twin of a cube part of a rectification column for the separation of a binary water-alcohol mixture, using the software Matlab/Simulink is considered. The technology solution on creation and verification of the digital twin of the available laboratory installation and structure of digital model, which is the basis for the digital twin, are developed. Β© 2018 Institute of Physics Publishing. All rights reserved. |
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| publications-5400 |
Book chapter |
2020 |
Koch A.; Cossalter A. |
Feedbacks on the Deployment of and Experimental Real-Time Flood Forecasting and Crisis Management System |
Springer Water |
10.1007/978-981-15-5436-0_30 |
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Flood forecast and crisis management are part of real time operational management. Including the representation and analysis of river hydraulic response in the forecast seems to improve the anticipation of an event and could add valuable information in the operational management. An experimental real-time system has been implemented in two sectors in France to evaluate the capacity of such a system as a decision-aid tool for flood crisis management. One of the pilot sites is a catchment in South of France with the challenge to represent karstic cavities. The full system includes 4 data streams of discharge and water level measurements, 9 rain gauges and the MΓ©tΓ©o FranceΒ forecastΒ AROME model. It is based on hydrological and hydraulic models, and an automated system runs simulations of the models, post process the results and provides operational data. The latter can be visualized into a dedicated interface for the operator. Furthermore, alerts are triggered and can concern any observed or calculated data. These alerts are used to trigger new runs, provide flood forecast information useful in crisis management, and automatically send emails or SMS. This system allows the anticipation of floods in key places and add a view of the entire situation, even in unmonitored sectors, which could be valuable to the river management authorities. This experiment highlights several challenges facing the engineers such as the availability and accuracy of data streams inputs, and the accuracy and reliability of models, which must be improved in a cyclic approach for each new flood event. Β© 2020, Springer Nature Singapore Pte Ltd. |
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