D5.2: Digital-Twin Enabled multi-physics simulation and model matching

This deliverable presents a report on the developed actions and results concerning Digital-Twin-enabled multi-physics simulations and model matching. Enabling meaningful simulations within new human-infrastructure interfaces such as Digital twins is paramount. Accessing the power of simulation opens manifold new ways for observation, understanding, analysis and prediction of numerous scenarios to which the asset may be faced. As a result, managers can access countless ways of acquiring synthetic data for eventually taking better, more informed decisions. The tool MatchFEM is conceived as a fundamental part of this endeavour. From a broad perspective, the tool is aimed at contextualizing information between multi-physics simulations and vaster information constructs such as digital twins. 3D geometries, measurements, simulations, and asset management coexist in such information constructs. This report provides guidance for the generation of comprehensive adequate initial conditions of the assets to be used during their life span using a DT basis. From a more specific focus, this deliverable presents a set of exemplary recommendations for the development of DT-enabled load tests of assets in the form of a white paper. The deliverable also belongs to a vaster suit of documents encountered in WP5 of the Ashvin project in which measurements, models and assessments are described thoroughly.Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPreprin

I-Twin. Computational twin connectors for I-profiles: towards unforeseen interoperability of digital tools

Standard BIM data-exchange format requirements are permeating Building Construction. This is due to the increasing digital communication between Stakeholders of complex projects. All steps of development (conception, design, procurement, construction and operation) are pushing towards integration of data schemas. Desirably, knowledge and value generated by one stakeholder may then be leveraged by other stakeholders. 3D models, simulations, measurements, logbooks, schedules, as-built conditions and other information constructs are on the verge of interoperable communication. Structural Analysis must play a significant role within those more digitized data exchanges. This paper presents recent developments of frameworks, connectors and tools for the integration of structural I-shaped beam entities into Digital Twins. The information construct I-Twin encompasses information loads for geometries (IFC-Based), sensors (IoT) and simulations (FEM).Authors acknowledge the funding of ASHVIN, “Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digital Twin” an H2020 project under agreement 958161. This publication reflects only authors' view and that the European Commission is not responsible for any uses that may be made of the information it contains.Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement EconòmicPostprint (published version

Closing the gap between concrete maturity monitoring and nonlinear time-dependent fem analysis through a digital twin. Case study: post-tensioned concrete slab of an office building, Barcelona, Spain

This paper proposes a pipeline for the automation of data between two realms: i) simulation, in a fully nonlinear, and time-dependent structural analysis model and, ii)concrete maturity monitoring data from the construction site. The connection enables an information construct understood for its use within the Digital Twin of the building during construction phases. The pipeline requires a comprehensive coordination between stakeholders at both the site (Construction) and the structural control office, which is challenging. The pipeline consists of a) temperature sensors, b) a mobile app connected to the sensor via Bluetooth with basic instructions for datagatherers, c) integration and interoperability of BIM, and, d) an advanced Finite Element (FE) model. By measuring the concrete temperature during many days, realistic concrete mechanical properties are inferred and infused into the FE models using adequate calibration. Two applications for the improvement of construction activities are identified. Formwork striking and tendons stressing. The paper describes the testbed of all the connections, for the construction of an in-situ casted concrete building in Barcelona, Spain.All authors acknowledge the funding of ASHVIN, “Assistants for Healthy, Safe, and Productive Virtu-al Construction Design, Operation & Maintenance using a Digital Twin” an H2020 project under agreement 958161. In Addition, the authors are grateful to BIS structures, BCA, DRAGADOS, and FREO for providing access to the construction site for measurements and data collection, as well for their disposition to share project information and follow the development of this research.Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPostprint (published version

Real-time activity duration extraction of crane works for data-driven discrete event simulation

The construction industry is struggling with low productivity rates because of a low level of digitalization, dynamic interactions, and uncontrollable circumstances on sites, which make the planning process complex. Usage of the digital twin construction paradigm enables to facilitate construction management and leverage the sector’s unexploited potential. This research addresses current shortcomings by real-time discrete event simulation. During crane operations, kinematic data were collected, which were classified by machine learning algorithms for activity recognition and duration extraction. Based on the identified durations, Goodness-of-Fit techniques determined suitable probability density functions. The resulting probability density functions were used as input parameters in stochastic discrete event simulations. It was shown that with enriched data collection, probability density functions have to be updated. The data-driven discrete event simulation facilitates decision-making processes by providing more reliable real-time information for the planning of upcoming construction works. Thus, data-based instead of experience-based management can be enabled.Part of this research has been conducted for the H2020 funded project ASHVIN, Grant Number: 958161. The authors are grateful to BIS structures, BCA, DRAGADOS, and FREO for providing access to construction site and for sharing project information.Postprint (published version

Measurements, simulation, analysis and geolocation in a digital twin tool for bridge management

This paper presents a digital-twin based tool that can be used for bridge management. The tool offers various capabilities that include embedding BIM geometries, simulations, measurements, GIS location, and performance analysis. These features enable efficient and effective management of bridges by providing detailed information and analysis of the bridge's performance, which can help in identifying potential issues and implementing appropriate solutions. The methodology represents one of the outcomes of Ashvin, an H2020 project aimed to providing assistant solution for design, construction and management of infrastructure systems. The hitherto obtained findings include this digital tool which can be of practical and beneficial use for bridge owners and operators, as it can help them to organize and centralize the bridge data in a way it helps making informed decisions regarding the maintenance, repair, and replacement of bridges. Overall, this paper highlights the importance of embracing technology in the management of critical infrastructure such as bridges, which can significantly improve their performance and extend their lifespan.European Commission. Grant Number: 958161Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraObjectius de Desenvolupament Sostenible::11 - Ciutats i Comunitats SosteniblesObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement EconòmicPostprint (published version

D7.1 ASHVIN technology demonstration plan

Deliverable 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