21 research outputs found
D7.1 ASHVIN technology demonstration plan
Get PDFDeliverable D7.1 of project ASHVIN (Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digital Twin Project Acronym)ASHVIN aims at the digitalization of the construction industry to increase productivity, resource efficiency, and safety. Towards this goal, digital twin technology is only one means to an end. Therefore, the core of all ASHVIN development aims at introducing two major process innovations enabled by the possibility to closely match as-build information with as-designed information throughout the product development lifecycle that is made possible by digital twin technology. This report presents a plan for implementation of the ASHVIN platform and tools in the demonstration projects. For each of the demonstration project relevant challenges and needs are described, based on that appropriate tools and monitoring devices can be planned. It is significant to show that various type of structures (buildings, bridges, and industrial buildings) has different problems and boundary condition. Only after examination and understanding of the problems and challenges that each construction site faces it is possible to correctly apply new solution. The document that presents the implementation of digital twin technologies on demonstration projects: #1 Bridges for highspeed railways in Spain, #2 Building renovation in Poland, #3 Airport runway in Croatia, #4 Logistics hall construction in Germany, #5 Kineum office building in Sweden, #6 Office buildings in Spain, #7 Bridges in highway network in Spain, #8 Footbridge in Germany, #9 Sport stadium roof structure, #10 Quay wall in the Netherlands.Task leader/Main author: Agnieszka Łukaszewska, Marek Giluń (FASADA)
Contributing partners: Felicia Johansson, Rogier Jongeling (Plan B), Rahul Tomar (DTT), Christina Claeson-Jonsson (NCC); Manuel Jungmann (TUB), Jorge Campos, João Gonçalves (EUR), Vasilis Papanikolaou (AUS); Rolando Chacon (UPC), David García Carrera (UPC), Carlos Ramonell (UPC), Hector Posada (UPC), Lucian Ungureanu (TUB), Sandra Skaric Palic (INFCON)
Reviewer(s): Irina Stipanovic (INFCON), Burkhard Krenn,(SPB)Preprin
D4.1 A set of KPIs to plan and monitor productive, resource efficient, and safe constructon sites
Get PDFDeliverable D4.1 of project ASHVIN (Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digital Twin Project Acronym)This document describes performance indicators that contribute to productivity, resource efficient, and safe construction works. Report also summaries the tools that will be developed within ASHVIN project and support tracking of progress of construction works. The most important tools and methodologies are: ASHVIN platform dashboards that provide a rich environment to consider and manage the performance indicators; Construction monitoring tool with productivity and safety KPI decision making dashboard (4DV-C); Privacy ensuring safety management, simulation, and training tool (SMT); A configuration management tool to track as-designed and as-built, as well as, to allow for seamless commissioning (CMT); Simulation-based real-time construction site and logistics planning tool (DES); Multi-physics model matching tool for status assessment of bridges and buildings (MATCHFEM); Lean project planning methodology. According to the interviews performed with managers of construction sites the number of times the site is getting organized and cleaned influences not only the safety of a site but also the productivity. In addition, the number of tasks that must be redone/corrected influences the morale of the workers and therefore the productivity of the work as well as the costs and the resources that are being used to finish up that task. ASHVIN project will support the calculation of following Performance Indicators: Percentage Plan Complete, Non-productive working time of professional, component properties, productivity rate, waste factor, number of concurrent trades on site, percentage of available space used, utilisation rate of equipment, number (and severity) of reported issues related to the accidents on construction site, safety factor, strength of structural components, cost of equipment and workers. Those indicators will be measured and checked on three ASHVIN demonstration projects: #4 Logistic hall construction in Germany, #5 Kineum office building in Sweden, #6 Office buildings in Spain.Task leader/Main author: Agnieszka Łukaszewska, Marek Giluń, Mateusz Bąk (FASADA)
Contributing partners: Felicia Johansson, Rogier Jongeling (Plan B), Rahul Tomar (DTT), Christina Claeson-Jonsson (NCC); Manuel Jungmann (TUB), Jorge Campos, João Gonçalves (EUR), Vasilis Papanikolaou (AUS)
Reviewer(s):Rolando Chacon (UPC), Lucian Ungureanu (TUB)Preprin
Portable magnetic resonance sensors and methods for noninvasive disease diagnostics
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 144-154).Many diseases manifest as a shift in fluids between distinct tissue fluid compartments. For example, fluid depletion and fluid overload lead to a deficit or accumulation of fluids within the intramuscular interstitial space. A direct measurement of these fluid shifts could serve as a highly specific diagnostic or prognostic tool to improve clinical management of these disorders. Proton magnetic resonance is exquisitely sensitive to the local physical and chemical environment of water molecules within the body. Therefore, we hypothesized that localized magnetic resonance (MR) measurements could interrogate local tissue fluid distributions and assess systemic fluid volume status. This thesis explored the potential for a portable MR sensor to characterize shifts in tissue fluid distribution and identify the onset and progression of fluid volume status disorders.First, we designed a portable, single sided MR sensor capable of performing remote measurements of the multicomponent T2 signal originating from distinct fluid compartments. Further, we present a design framework to create single sided sensors with magnetic field strength and geometry suitable for a wide range of applications. We then demonstrate that a localized measure of tissue fluid distribution using a portable MR sensor is capable of identifying systemic changes in fluid volume status associated with fluid depletion. We validate these findings via whole animal MR measurements and a standard MRI scanner capable of localizing its measurement towards the muscle tissue. Finally, we explore new strategies to enable the translation of these portable MR sensors towards humans.We demonstrate techniques combining multicomponent T2 relaxometry, depth-resolved measurements, and diffusion-weighted pulse sequences to improve identification of fluid shifts within muscle tissue despite the presence of confounding tissues, such as the subcutaneous tissue. The magnetic resonance sensors and measurement techniques developed here lay the foundations for a non-invasive, portable, and quantitative indicator of tissue fluid distribution. This technology has the potential to serve as a clinical diagnostic for both localized and systemic fluid imbalances. Furthermore, these approaches enabling portable, quantitative MR measurements can be extended to the diagnosis and staging of the progression of other diseases which exhibit shifts in fluid distributions.by Ashvin Bashyam.Ph. D.Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienc
Knowledge graph-based data integration system for digital twins of built assets
Get PDFThe emergence of digital twin technologies offers a promising avenue for improving decision-making through the integrated use of up-to-date physical or synthetically simulated data. Nevertheless, the practical implementation of digital twins in the built environment remains a significant challenge. This paper describes a system that seamlessly integrates data into digital twins of built assets. The system uses a knowledge graph to achieve data integration, which is designed to be modular, flexible, and interoperable. The graph includes BIM models, metadata from an external IoT platform, and process-related information. The system is microservice-based and revolves around a graph database housing the knowledge graph. It employs dynamic operations to update the knowledge graph and is tested using civil engineering infrastructure examples. Results from this work can be used to create pipelines that extract and operate with data connecting computational agents integrated into the system as microservices or connected through the system API.This paper was prepared in the context of project ASHVIN. ASHVIN has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 958161. This publication reflects only author’s view and that the European Commission is not responsible for any uses that may be made of the information it contains. The first author acknowledges the funding of the FI-2021 AGAUR PhD grant.Peer ReviewedPostprint (published version
Job roles for digital twinning building construction processes. Introducing the digital twin manager position
No full textThis is an Accepted Manuscript of an article published by Taylor & Francis Group in International journal of construction management on 2024, available online at: http://www.tandfonline.com/10.1080/15623599.2024.2417632.Digital Twins (DT) holds the potential to enhance management and monitoring in the construction sector by means of an interconnected information environment. Although DT theoretical frameworks have been proposed and numerous literature reviews conducted, real-world demo cases showing requirements and challenges are yet limited. These existing frameworks lack of grounded verification on real scenarios to identify essential roles and skills for effective knowledge transfer. This paper contributes to bridge these gaps by harvesting the knowledge of twinning a real-world office building. Key takeaways include a general mind map and two complementary workflows for DT generation and operation for building construction processes. The information pipeline from data collection to decision-making is described and required skills and roles are identified along this data journey. An identification of the emerging role of DT Managers is presented, a vital yet underexplored position in current construction literature. The presented practical roadmap paves the way for increasing maturity on DTs and for promoting their industry adoption.All authors acknowledge the funding of Ashvin, an H2020 project under agreement 958161. The first author acknowledges to the Foundation for the Future of Colombia (COLFUTURO), the second and third authors to AGAUR, for the financial support of DI-2021 and FI-2021, respectively.Peer ReviewedObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement EconòmicObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPostprint (author's final draft
The Dynamic Properties of Cartilage
No full textThis thesis presents an investigation of the material response of articular cartilage on subchondral bone to multiple impacts via indentation, focussing on the effect of tissue degeneration and the validity of using a linear Kelvin-Voigt viscoelastic model to describe the material response. Analysis was performed at the macrostructural level with reference to microstructure. Indentation was chosen as the mechanical methodology to simulate non-destructive joint trauma, which can lead to degenerative diseases such as osteoarthritis. Bovine patellar cartilage was used as a model for human cartilage and was classified as either healthy or mildly degenerate depending on the surface features and material response to hydration. Multiple impacts from a slightly rounded indenter were then delivered to the cartilage surface, after which the damping and stiffness characteristics of the material were calculated and analysed.
The validity of the approach used in the analysis was tested by applying indentation experiments to standard materials, aluminium and polyethylene. The approach was determined to measure material response rather than material properties of the standard materials. The investigation into articular cartilage was therefore focused on investigating the material response instead of directly determining material properties.
The calculated peak stress and stiffness have been found to suggest a significant decrease in the cartilage material resistance to impact when mild degeneration has occurred; however, the calculated damping characteristics were not significantly different between healthy and mildly degenerate cartilage. These results are consistent with the findings of previous studies, which have suggested that tissue degeneration reduces the peak stress of cartilage on subchondral bone.
The methodology to calculate the stiffness and damping was based upon linear viscoelastic modelling, which was found to be a poor representation of cartilage material response to impact. Therefore, the author believes this thesis shows that nonlinear modelling must be applied to future studies, and that cartilage material properties both in isolation and with attached subchondral bone should be measured directly rather than secondarily
Analysis of satellite remote sensing for mapping Adélie penguin rookeries in Prydz Bay area, East Antarctica : a comparison between Landsat Thematic Mapper and SPOT HRV Data
No full textThis thesis was scanned from the print manuscript for digital preservation and is copyright the author.
Researchers can access this thesis by asking their local university, institution or public library to
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Inventory of HRD products and applications to be utilized by NHC forecasters for testing in AWIPS II at NHC Hurricane Ocean Testbed (HOT) Laboratory
No full textNational Oceanic and Atmospheric Administration (NOAA) Atlantic Oceanographic and Meteorological Laboratory (AOML) Hurricane Research Division (HRD) senior personnel wanted to know what HRD products and applications, particularly new diagnostics, could potentially be implemented into AWIPS II at the NOAA National Hurricane Center’s (NHC) Hurricane Ocean Testbed (HOT) laboratory for the NHC forecasters located there to test. In addition, they wanted to know which of those HRD products and applications the NHC forecasters were interested in testing. To find out, the author met with HRD researchers on each of the four HRD teams from August through October 2023 to learn from them what were all of the various products and applications that they created as part of their research work. He subsequently learned from them which of those they recommended to be implemented into AWIPS II at the HOT laboratory. During multiple meetings in November 2023, the author and fellow HRD staff met with NHC forecasters to present these recommendations. In response, the forecasters believed that most if not all of those products and applications were best suited to be displayed on HRD’s “Model Viewer”/”Storm Viewer” website, due to their highly comprehensive and detailed nature suitable for research purposes. However, the forecasters added that a subset of them could potentially be implemented into AWIPS II at the HOT laboratory for them to test. They added that, down the road, they were thinking about migrating from AWIPS II to NOAA’s DESI (GSL) software platform/product, since it has more and better capabilities to enable forecasters to view and analyze information on it than AWIPS II. Throughout this time period, the author created a document serving as a type of inventory cataloging all of the products and applications HRD’s researchers recommended as well as which of those the NHC forecasters were interested in testing at the HOT laboratory. The document also captured the findings from the November 2023 meetings with the NHC forecasters wherein they stated their preferences regarding which of those HRD products and applications belonged on HRD’s “Viewer” website, which of those could go into AWIPS II, as well as their plans for migrating from AWIPS II to DESI (GSL). This document was completed and delivered to HRD at the end of November 2023
Material characterization for HBIM data structures on a masonry arch bridge
Get PDFThis paper presents a set of undertaken actions for characterizing masonry arch bridges using data structure suitable for proper embedment in Digital Twins and Heritage Building Information Modelling (HBM). Interfaces in bridge maintenance are relentlessly and increasingly sophisticated. For both new and existing bridges, these interfaces are tending towards their ability to deal with different sources of information. Comprehensive digital twins of heritage masonry arch bridges may include several sources of information gathered from the real asset. Measurements can be taken using many different techniques ranging from contact to contactless and from non-destructive to moderately destructive samples. In addition, these twins may base upon different numerical models aimed at predicting and anticipating the present and future behaviors of the asset, respectively. Masonry arch bridges are known for their complex material and structural characteristics. Digitizing these masonry properties is key for effective simulation and analysis, often involving homogenization of diverse material properties. The design of comprehensive information constructs able to store and federate multiple data layers within a single entity is still challenging. Layers must be connected using vast scoped solutions such as knowledge graphs, integrating measurements, simulations and other information sources. In this particular case study on a masonry arch bridge located in Catalonia, Spain, in-situ Non-Destructive Testing (NDT) data is conceptualized for proper infusion within HBIM schemas. This integration pursues a seamless information flow for analysis or predictive purposes.The financial support from the Ministry of Science and Innovation (Spain), the State Agency of Research, and the European Regional Development Fund (ERDF) through the project PONT3 (PID2021-124236OB-C32). Authors also acknowledge the #KPI50 initiative of Ashvin, an H2020 project under agreement 958161 for the complementary support to the development of twinning techniques in new sites. The fifth author acknowledges the financial support of the European Union – NextGeneration EU through the postdoctoral grant Margarita Salas.Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPostprint (published version
