| publications-4801 |
Article |
2024 |
Lee S.; Park M.; Oh M.-H.; Lee P.-S. |
Virtual sensing for real-time strain field estimation and its verification on a laboratory-scale jacket structure under water waves |
Computers and Structures |
10.1016/j.compstruc.2024.107344 |
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This study aims to achieve real-time estimation of the full-field strain distribution in a structure by signals measured from several strain gauges attached to the structure. Our virtual sensing procedure is developed based on finite element formulation and employs the mode superposition approach. To verify the feasibility of the proposed procedure, numerical and experimental tests are conducted on a laboratory-scale offshore jacket structure subjected to water waves. Key aspects addressed in this study include the selection of displacement modes and the division of strain signals. The experiments are performed in an ocean basin, and comprehensive explanations are provided for the jacket prototype design, implementations, experimental setup, and wave loading conditions. The performance of the proposed virtual sensing procedure is thoroughly assessed through various evaluation measures, enhancing the understanding of its capabilities and limitations in practical applications. ĪĀ© 2024 Elsevier Ltd |
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| publications-4802 |
Article |
2024 |
Forti T.L.D.; Silva P.B.D.; Pires J.R.C.; Melegari L.F.P.; Marchiori I.N.; da Silva Muniz G. |
Real-time structural monitoring of the Campos Novos dam |
Journal of Civil Structural Health Monitoring |
10.1007/s13349-024-00770-4 |
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Energy in Brazil is generated predominantly by hydroelectricity. The advantages of hydroelectric power include the fact that it is a clean source of energy. Nevertheless, the impoundment of great amounts of water represents a risk to the area downstream in the face of an accident. Even though the chances of rupture of a dam are small, the consequences are often catastrophic. Therefore, monitoring the structures of a dam is essential to prevent disasters to the environment and population and ensure the safety of its operation. This paper describes the implementation of a real-time online monitoring system for the dam of Campos Novos Power Plant. The concrete-faced rockfill dam (CFRD) is 202Ī m high and 592Ī m long on the crest. The system comprises a digital twin, a robotic total station (RTS) system, and other automated sensors. The digital twin is a tridimensional structural model of the dam. The finite element method is used to calculate displacements and stress state of the rockfill and concrete slab. RTS measurements are made hourly ensuring the safe operation of the dam. ĪĀ© Springer-Verlag GmbH Germany, part of Springer Nature 2024. |
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| publications-4803 |
Article |
2024 |
Baena-Miret S.; Puig M.A.; Rodes R.B.; Farran L.B.; DurĪĪ
n S.; MartĪĀ M.G.; MartĪĀnez-Gomariz E.; Valverde A.C. |
Enhancing efficiency and quality control: The impact of Digital Twins in drinking water networks |
Water Environment Research |
10.1002/wer.11139 |
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This paper showcases the successful development and implementation of two Digital Twin prototypes within the Lab Digital Twins project, designed to enhance the efficiency and quality control of AigĪĪes de Barcelona's drinking water network. The first prototype focuses on asset management, using (near) real-time data and statistical models, and achieving a 70% success rate in predicting pump station failures 137 days in advance. The second prototype addresses water quality monitoring, leveraging machine learning to accurately forecast trihalomethane levels at key points in the distribution system, and enabling proactive water quality management strategies, ensuring compliance with stringent safety standards and safeguarding public health. The paper details the methodology of both prototypes, highlighting their potential to revolutionize water network management. Practitioner Points: Digital representation of assets and processes in the drinking water treatment network Early fault detection in assets, and predictions of trihalomethane formation in the drinking water distribution network Reduction on monitoring time and incident response for target assets by means of Digital Twins Improvement in visualization, prediction, and proactive measures for asset management and water quality control Contribution to the growing knowledge on Digital Twins and their potential to revolutionize water network operations. ĪĀ© 2024 The Author(s). Water Environment Research published by Wiley Periodicals LLC on behalf of Water Environment Federation. |
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| publications-4804 |
Conference paper |
2024 |
Zhu S.; Peng B.; Li D.; Bai Y.; Liu X.; Li Y. |
Methods for Addressing Pavement Defects Based on Digital Twin Technology-A Case Study of Snow and Water Accumulation on Road Surface |
E3S Web of Conferences |
10.1051/e3sconf/202451204015 |
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This paper explores the utilization of digital twin technology for the management of urban road infrastructure challenges, specifically addressing issues related to snow and water accumulation. The study emphasizes the constraints associated with traditional road maintenance methods and proposes the implementation of a digital twin city framework to augment real-time monitoring and enhance emergency response efficiency. Through the integration of real-time data from sensors, traffic, and weather sources, the digital twin model replicates road conditions and forecasts potential issues, thereby enabling early warning systems. Furthermore, the research delves into the application of conductive asphalt concrete and superhydrophobic materials to mitigate road-related challenges. The results indicate that digital twin technology significantly enhances economic and operational efficiency in urban road infrastructure management when compared to conventional approaches. ĪĀ© 2024 The Authors, published by EDP Sciences. |
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| publications-4805 |
Article |
2024 |
PaĪāen I.; Peters R.; GarcĪĀa-SĪĪ
nchez C.; Ledoux H. |
Automatic high-detailed building reconstruction workflow for urban microscale simulations |
Building and Environment |
10.1016/j.buildenv.2024.111978 |
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Reconstructing urban scenarios for computational fluid dynamics simulations typically requires significant manual effort, especially when higher geometrical details are required. To address this issue, we present a workflow to automatically reconstruct buildings in three levels of detail (LoDs): LoD1.2, LoD1.3, and LoD2.2, tailored to urban microscale simulations. The workflow uses a combination of building footprints and a point cloud to segment roof planes, create partitions, optimise planes, and finally assemble roof planes into 3D building models. Reconstructed buildings are seamlessly integrated into the terrain together with different surface layers such as water, low vegetation, and paved surfaces. Apart from three general LoDs, building footprints can be simplified as a part of the 2D generalisation; additionally, smaller surfaces such as chimneys and ventilation shafts can be removed using a graph-cut optimisation. The integrated geometry validator can report on validity of building models, such as watertightness, manifoldness, or occurrences of self-intersections. In the case of invalid geometries, we can generate an approximation: geometry repair the with alpha wrapping algorithm, or reconstruction in lower LoD. We tested our implementation on two different real-world datasets Ī²ā¬ā one in The Netherlands, and another one in the USA. The results showed that 95% (Dutch dataset) and 90% (US dataset) buildings were valid according to the ISO 19107 standard. Generated grids showed satisfactory quality as we observed monotonous convergence in simulations with grid convergence indices up to 3.8% for pressure and velocity variables. These results indicate that the workflow is suitable for typical urban microscale simulations. ĪĀ© 2024 The Author(s) |
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| publications-4806 |
Article |
2024 |
Li H.; Zhang R.; Zheng S.; Shen Y.; Fu C.; Zhao H. |
Digital twin-driven intelligent operation and maintenance platform for large-scale hydro-steel structures |
Advanced Engineering Informatics |
10.1016/j.aei.2024.102661 |
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Large-scale hydro-steel structures (LS-HSS) are pivotal in hydraulic engineering, boasting high lift, expansive apertures, and discharge capacities. Conventional methods of operation and maintenance for LS-HSS require a digital revolution to ensure safety, reliability, and durability. This study introduces a novel approach, harnessing the power of a digital twin (DT) to integrate physical and virtual elements in LS-HSS operation and maintenance seamlessly. A digital twin modeling framework of LS-HSS operation and maintenance is first presented, incorporating five levels of a physical entity, a virtual entity, DT data, services, and connections. Subsequently, a DT-driven intelligent operation and maintenance (DT-IOM) platform is constructed and applied, which features real-time mapping, closed-loop control, dynamic health assessment, and intelligent decision-making. This platform provides a pathway for digitally transforming conventional LS-HSS operation and maintenance and paves the way for a new era of intelligent infrastructure management. The proposed approach has been successfully implemented and validated with multiple engineering projects, including radial gates of reservoir spillways, plain gates of flood discharge orifices, and emergency gates of pumped storage power stations. The impressive results demonstrate a significant anomaly response and processing efficiency improvement of over 60%. Moreover, the platform has substantially reduced field inspection time and equipment failure rate by approximately 50% and 20%, respectively. These tangible benefits further highlight the platform's functional advantages, including its capability for IoT connection, modeling and integration, virtual-real interaction, 2D/3D visualization, and service expansion. The results demonstrate the unique features in the closed loop of perception, analysis, decision-making, and optimization for DT-IOM, especially for integrating data, models, knowledge, and services in LS-HSS intelligent operation and maintenance. ĪĀ© 2024 Elsevier Ltd |
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| publications-4807 |
Article |
2024 |
Nardini A.G.C.; Escobar Villanueva J.R.; PĪĀ©rez-Montiel J.I. |
Hydrological Monitoring System of the NavĪĀo-Quebrado Coastal Lagoon (Colombia): A Very Low-Cost, High-Value, Replicable, Semi-Participatory Solution with Preliminary Results |
Water (Switzerland) |
10.3390/w16162248 |
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Like many coastal lagoons in several countries, the Ī²ā¬_x009c_NavĪĀo QuebradoĪ²ā¬_x009d_ lagoon (La Guajira, Colombia) is a very delicate and precious environment; indeed, it is a nationally recognized Flora and Fauna Sanctuary. Several factors, including climate change, are threatening its existence because of changes in the governing hydro-morphological and biological processes. Certainly, the first step to addressing this problem is to understand its hydrological behavior and to be able to replicate, via simulation, its recent history before inferring likely futures. These potential futures will be marked by changes in the water input by its tributary, the Camarones River, and by modified water exchange with the sea, according to a foreseen sea level rise pattern, as well as by a different evaporation rate from the free surface, according to temperature changes. In order to achieve the required ability to simulate future scenarios, data on the actual behavior have to be gathered, i.e., a monitoring system has to be set up, which to date is non-existent. Conceptually, designing a suitable monitoring system is not a complex issue and seems easy to implement. However, the environmental, socio-cultural, and socio-economic context makes every little step a hard climb. An extremely simpleĪ²ā¬āalmost Ī²ā¬_x009c_primitiveĪ²ā¬_x009d_Ī²ā¬āmonitoring system has been set up in this case, which is based on very basic measurements of river flow velocity and water levels (river, lagoon, and sea) and the direct participation of local stakeholders, the most important of which is the National Park unit of the Sanctuary. All this may clash with the latest groovy advances of science, such as in situ automatized sensors, remote sensing, machine learning, and digital twins, and several improvements are certainly possible and desirable. However, it has a strong positive point: it provides surprisingly reasonable data and operates at almost zero additional cost. Several technical difficulties made this exercise interesting and worthy of being shared. Its novelty lies in showing how old, simple methods may offer a working solution to new challenges. This humble experience may be of help in several other similar situations across the world. ĪĀ© 2024 by the authors. |
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| publications-4808 |
Article |
2024 |
Papadopoulou E.E.; Papakonstantinou A. |
Combining Drone LiDAR and Virtual Reality Geovisualizations towards a Cartographic Approach to Visualize Flooding Scenarios |
Drones |
10.3390/drones8080398 |
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This study aims to create virtual reality (VR) geovisualizations using 3D point clouds obtained from airborne LiDAR technology. These visualizations were used to map the current state of river channels and tributaries in the Thessalian Plain, Greece, following severe flooding in the summer of 2023. The study area examined in this paper is the embankments enclosing the tributaries of the Pineios River in the Thessalian Plain region, specifically between the cities of Karditsa and Trikala in mainland Greece. This area was significantly affected in the summer of 2023 when flooding the regionĪ²ā¬ā¢s rivers destroyed urban elements and crops. The extent of the impact across the entire Thessalian Plain made managing the event highly challenging to the authorities. High-resolution 3D mapping and VR geovisualization of the embarkments encasing the main rivers and the tributaries of the Thessalian Plain essentially provides information for planning the areaĪ²ā¬ā¢s restoration processes and designing prevention and mitigation measures for similar disasters. The proposed methodology consists of four stages. The first and second stages of the methodology present the design of the data acquisition process with airborne LiDAR, aiming at the high-resolution 3D mapping of the sites. The third stage focuses on data processing, cloud point classification, and thematic information creation. The fourth stage is focused on developing the VR application. The VR application will allow users to immerse themselves in the study area, observe, and interact with the existing state of the embankments in high resolution. Additionally, users can interact with the 3D point cloud, where thematic information is displayed describing the classification of the 3D cloud, the altitude, and the RGB color. Additional thematic information in vector form, providing qualitative characteristics, is also illustrated in the virtual space. Furthermore, six different scenarios were visualized in the 3D space using a VR app. Visualizing these 3D scenarios using digital twins of the current antiflood infrastructure provides scenarios of floods at varying water levels. This study aims to explore the efficient visualization of thematic information in 3D virtual space. The goal is to provide an innovative VR tool for managing the impact on anthropogenic infrastructures, livestock, and the ecological capital of various scenarios of a catastrophic flood. ĪĀ© 2024 by the authors. |
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| publications-4809 |
Conference paper |
2024 |
Wang S.; Guan W.; Wu J.; Zhang L.; Shakeeva N.; Yang B. |
Specifics of training specialists in the field of water resources logistics |
BIO Web of Conferences |
10.1051/bioconf/202410705007 |
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The article defines the problem of training specialists who manage water resources logistics. The problems of water logistics are related to peculiarities of transportation of water resources in order to preserve their quality characteristics, operation of hydraulic structures, preservation of coastal territories and their corresponding ecosystems. Effective implementation of the processes related to the above features requires constant analysis of a multitude of parameters and processes, which in most cases are random in nature. The development of operational management solutions requires the use of specialized intelligent software tools. Their effective use requires professional training. The study developed a model of the educational process that uses technologies of digital twins of real natural objects, which allowed forming professional competencies in the field of water resources logistics in an interactive form. ĪĀ© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/). |
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| publications-4810 |
Article |
2024 |
Ito S.; Oda K.; Koizumi K. |
Seepage analysis model based on field measurement data for estimation of posterior parameter distribution using merging particle filter |
Soils and Foundations |
10.1016/j.sandf.2024.101442 |
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Soil water conditions should be adequately evaluated because they influence the occurrence of surface failures. Digital twin systems, connecting field measurement data with numerical simulations, must be created to enable early warnings to be issued before a surface failure occurs. This study discusses the applicability of the merging particle filter (MPF) method for estimating the posterior distribution of seepage analysis models based on the volumetric water content field measurement data from two case studies. The first case study estimated the posterior distribution of parameters for unsaturated soil hydraulic properties based on data obtained from three slopes of different soil types (decomposed granite, weathered mudstone, and pyroclastic flow deposits). The simulation results agreed well with the raw data, where only precipitation data were input into the estimated seepage analysis model. The second case study estimated and discussed the applicability of a seepage analysis model using parameters for the unsaturated soil hydraulic properties and drainage boundary conditions. The simulated results reproduced the field measurement data with sufficient accuracy to attain the groundwater behavior. Therefore, based on field measurement data, the MPF can estimate the posterior distribution of parameters for the seepage analysis model, considering the inhomogeneity and uncertainty of in-situ soil. ĪĀ© 2023 |
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