SISTEMA DE ALARMA PARA SISTEMAS DE GESTION DE PUENTES CON GEMELOS DIGITALES BIM UTILIZANDO INTELIGENCIA ARTIFICIAL

PID2021-126405OB-C32

Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia
Subprograma Subprograma Estatal de Generación de Conocimiento
Convocatoria Proyectos de I+D+I (Generación de Conocimiento y Retos Investigación)
Año convocatoria 2021
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023
Centro beneficiario UNIVERSIDAD DE CASTILLA-LA MANCHA
Identificador persistente http://dx.doi.org/10.13039/501100011033

Publicaciones

Found(s) 6 result(s)
Found(s) 1 page(s)

Integration of BIM and MIVES to automate the sustainability assessment of viaducts

UPCommons. Portal del coneixement obert de la UPC
  • Lozano Galant, Fidel|||0000-0001-9272-6172
  • Jurado, Julio Cesar
  • Fuente Antequera, Albert de la|||0000-0002-8016-1677
  • Lozano Galant, José Antonio
  • Turmo Coderque, José|||0000-0001-5001-2438
Among the multicriteria decision-making (MCDM) methods, the Integrated Value Model for Sustainability Assessment (MIVES) stands out for its ability to quantitatively assess sustainability of civil and construction engineering projects. The integration of this method with building information modeling (BIM) offers a holistic approach to construction project management, this allowing promoting better decision-making, collaboration, and ultimately, more successful and efficient construction projects. While literature explores the link between BIM and MIVES, efforts often lack consistent sustainability assessment automation. Current approaches mainly define MIVES indicators within the BIM model, without achieving a comprehensive evaluation automation. To address this issue, a novel methodology that combines MIVES and BIM is presented to automate the sustainability assessment. The proposed methodology automates the sustainability analysis of BIM digital twin in Revit using quantity tables and internal operators. In addition, a parametric programming tool in Dynamo is developed for direct MIVES and BIM coupling. The approach is validated using a real viaduct to assess sustainability and perform a sensitivity analysis in order to identify those indicators with the most influence on sustainability performance. Critically, this methodology is not limited to the sustainability assessment of bridges as it can be readily adapted to other types of infrastructure. Moreover, it is worth noting that the capabilities of this approach can be significantly augmented by incorporating data from sensors and diverse sources. This inclusion of sensor-derived or alternative data sources enhances the depth and accuracy of the insights drawn from the integrated MCDM-BIM framework., The authors are indebted to the projects PID2021-126405OB-C31, and PID2021-126405OB- C32 funded by MICIN/AEI/10.13039/501100011033/ and FEDER funds A way to make Europe. The financial support of the project F-00528 (PLEC2022-009441) with the title “Optimización topológica para una metodología de construcción de bajo impacto ambiental (Topological optimization for a low environmental impact construction methodology)” is also appreciated.




Enhancing the accuracy of low-cost inclinometers with artificial intelligence

UPCommons. Portal del coneixement obert de la UPC
  • Lozano Galant, Fidel|||0000-0001-9272-6172
  • Emadi, Seyyedbehrad
  • Komarizadehasl, Seyedmilad|||0000-0002-9010-2611
  • González-Arteaga, Jesús
  • Xia, Ye
The development of low-cost structural and environmental sensors has sparked a transformation across numerous fields, offering cost-effective solutions for monitoring infrastructures and buildings. However, the affordability of these solutions often comes at the expense of accuracy. To enhance precision, the LARA (Low-cost Adaptable Reliable Anglemeter) system averaged the measurements of a set of five different accelerometers working as inclinometers. However, it is worth noting that LARA’s sensitivity still falls considerably short of that achieved by other high-accuracy commercial solutions. There are no works presented in the literature to enhance the accuracy, precision, and resolution of low-cost inclinometers using artificial intelligence (AI) tools for measuring structural deformation. To fill these gaps, artificial intelligence (AI) techniques are used to elevate the precision of the LARA system working as an inclinometer. The proposed AI-driven tool uses Multilayer Perceptron (MLP) to glean insight from high-accuracy devices’ responses. The efficacy and practicality of the proposed tools are substantiated through the structural and environmental monitoring of a real steel frame located in Cuenca, Spain., This research was funded by FEDER, grant number PID2021-126405OB-C31 and PID2021-126405OB-C32—A Way to Make Europe and Spanish Ministry of Economy and Competitiveness MICIN/AEI/10.13039/501100011033/, National Natural Science Foundation of China (52278313), and a grant provided by the Polytechnic University of Catalonia with a reference of ALECTORS-2023., Peer Reviewed




Optimization of prestressing operations in the design of cable-stayed bridges by applying the Direct Algorithm

UPCommons. Portal del coneixement obert de la UPC
  • Farré Checa, Josep
  • Ma, Haiying
  • Lozano Galant, José Antonio
  • Turmo Coderque, José|||0000-0001-5001-2438
A new direct simulation of the cantilever erection method is presented in order to reduce the prestressing operations of stay cables. This new method introduces a direct approach for cable-stayed bridge construction using the cantilever erection method, employing independent finite element models. Prestressing forces are modeled as imposed strains based on the unstressed length concept to ensure the achievement of a specific target state post-construction (objective service stage, OSS). This facilitates faster simulation of the construction process, particularly for steel bridges and the predesign of concrete cable-stayed bridges, and enables direct simulation of construction stages and OSS achievement. The proposed method's efficacy is demonstrated through the analysis of a cable-stayed bridge., The authors are indebted to the projects PID2021-126405OB-C31 and PID2021-126405OB-C32 funded by FEDER funds A way to make Europe and Spanish Ministry of Economy and Competitiveness MICIN/AEI/10.13039/501100011033/ directed by Professor José Turmo. Authors are also indebted to the Secretaria d'Universitats i Recerca de la Generalitat de Catalunya for the funding provided through AGAUR (2020 DI 112).




Eigenfrequency analysis using fiber optic sensors and low-cost accelerometers for structural damage detection

UPCommons. Portal del coneixement obert de la UPC
  • Komarizadehasl, Seyedmilad|||0000-0002-9010-2611
  • González Jiménez, Manuel Antonio
  • Pérez Casas, José María
  • Lozano Galant, José Antonio
  • Turmo Coderque, José|||0000-0001-5001-2438
Structural Health Monitoring (SHM) is crucial for infrastructure safety and integrity. Arduino-based sensors are gaining popularity in low-cost SHM structures. Distributed fiber optic systems (DFOS), such as Distributed Acoustic Sensing (DAS), are employed for accurate SHM despite their high costs, computational demands, and energy consumption. The primary objectives of this work are to compare the accuracy of an accelerometer named LARA (Low-cost Adaptable Reliable Accelerometer (LARA)) that utilizes both Arduino and Raspberry Pi technologies with a DAS system in detecting structural damage and to explore the potential advantages of combining LARA and DAS to create an effective SHM tool. This study is the first to enhance the design of LARA. Subsequently, LARA and DAS were used in a laboratory setting to analyze eigenfrequency changes in a beam model with induced localized damage. Finally, this study evaluated the precision and reliability of LARA and its potential role as a trigger for DAS in detecting localized damage. The findings show that both LARA and DAS can identify changes in the eigenfrequencies of damaged structures with deviations as small as 3.68 %. Consequently, LARA demonstrated its potential as a trigger for DAS, significantly reducing the computational demands while enriching the analysis. This approach offers highly accurate eigenfrequency measurements and enhances the analytical capabilities of DAS by identifying the primary axes of the detected eigenfrequencies., The authors are indebted to the projects PID2021-126405OB-C31 and PID2021–126405OB-C32 funded by FEDER funds A way to make Europe and Spanish Ministry of Economy and Competitiveness MICIN/AEI/10.13039/501100011033/. Dr. Seyedmilad Komarizadehasl is indebted to a grant provided by the Polytechnic University of Catalonia to encourage research among new teaching staff with a reference of ALECTORS-2023., Peer Reviewed




Integrating web-based weather data into building information modeling models through robot process automation

UPCommons. Portal del coneixement obert de la UPC
  • Atencio, Edison
  • Lozano Galant, Fidel|||0000-0001-9272-6172
  • Alfaro, Ignacio
  • Lozano Galant, José Antonio
  • Muñoz La Rivera, Felipe
The rapid evolution of digital technologies has revolutionized the architecture, engineering, and construction (AEC) industry, driving the wide-spread adoption of digital twins for structures. These virtual replicas, developed using Building Information Modeling (BIM) methodology, incorporate extensive information databases, proving indispensable for enhancing project management throughout a structure’s entire lifecycle and towards smart city development. As the impact of climate change continues to grow, hazardous weather alerts play a critical role as an early-warning system that notifies stakeholders of imminent threats, thereby influencing decision-making processes in construction projects. Surprisingly, despite its evident value, the integration of alert systems for hazardous weather conditions into BIM is often overlooked. To fill this gap, this paper proposes Robot Process Automation (RPA) protocols to automate the integration of real-time weather parameters into a structure’s BIM models. These very protocols are also used as alert systems, enabling the timely notification of stakeholders in the event of detected hazardous weather conditions. The effectiveness of the proposed methodology is demonstrated through its practical application in enhancing the safety of an actual building in Viña del Mar, Chile., This research was funded by FEDER, grant number PID2021-126405OB-C31 and PID2021- 126405OB-C32 funded by FEDER funds—A Way to Make Europe and Spanish Ministry of Economy and Competitiveness MICIN/AEI/10.13039/501100011033/, Peer Reviewed




Advancing smart health monitoring: a review of low-cost sensors for structural assessment

UPCommons. Portal del coneixement obert de la UPC
  • Komary, Mahyad|||0000-0002-3219-2970
  • Komarizadehasl, Seyedmilad|||0000-0002-9010-2611
  • Tošić, Nikola|||0000-0003-0242-8804
  • Lozano Galant, José Antonio
  • Turmo Coderque, José|||0000-0001-5001-2438
In response to the global demand for structural health monitoring (SHM), particularly in the context of expanding structural assets, this paper conducts a thorough exploration of the integration of low-cost sensors in SHM applications. The primary focus is to introduce various low-cost sensors commonly used in SHM applications for bridges, aiming to unveil their full potential as economical alternatives to expensive commercial sensors. This approach not only broadens accessibility, allowing structures with limited SHM resources to benefit but also enhances measurement points for more robust results. The study begins with the introduction of the NodeMCU, serving as the programmable logic controller equipped with a built-in WiFi module. This feature enables IoT functionality for the low-cost sensors under review. The exploration then delves into an array of digital sensors. Systematic ambient tests were conducted to uncover challenges during sensor installation and data acquisition. The paper not only introduces these low-cost electronic devices but also provides practical solutions to overcome identified issues, ensuring their effective utilization for SHM purposes., The authors are indebted to the projects PID2021-126405OB-C31 and PID2021-126405OB-C32 funded by FEDER funds—A Way to Make Europe and Spanish Ministry of Economy, Competitiveness MICIN/AEI/10.13039/501100011033/ and the European Union “NextGenerationEU”/PRTR. Project references: PID2019-108978RB-C32, PID2021-126405OB-C31, PID2021-126405OB-C32 and PLEC2021-007982., Peer Reviewed