Articles

A complex Virtual Reality system for the management and visualization of bridge data


Abstract


The management of infrastructural heritage is a central issue not only to research but also to governments wishing to conserve the state of artefacts and ensuring their safe use. The implementation of procedures for assessing the physical state of structures has increased after the recent catastrophic events causing extensive damage to national and international infrastructures. The results of the knowledge-gathering process are in the form of a quantity of data obtained using a multidisciplinary approach, and essential for defining operational procedures from a safety and conservation perspective. This paper deals with the digitization and management of heterogeneous data through Information and Communication Technologies (ICTs) to engineering and architecture with a specific focus on historical bridges. The paper discusses the results of experimentation aimed at defining an information system based on Virtual Reality (VR) for data visualization and exploitation.


Keywords


Virtual Reality (VR); Informative system; Historical bridges preservation; Data management; Interoperability; Inner Areas

Full Text:

PDF


DOI: http://dx.doi.org/10.2423/i22394303v12n1p49

References


AINOP. Retrieved from: https://ainop.mit.gov.it/portale/#/ (accessed on 22 February 2022).

ARGO. Retrieved from: https://www.movyon.com/it/argo (accessed on 22 February 2022).

ASCE (2017). Infrastructure Report Card, 2017. Retrieved from: https://www.infrastructurereportcard.org/ (accessed on 17 November 2021).

Attard, L., Debono, C.J., Valentino, G., Di Castro, M., Osborne, J.A., Scibile, L., & Ferre, M. (2018). A comprehensive virtual reality system for tunnel surface documentation and structural health monitoring. In 2018 IEEE International Conference on Imaging Systems and Techniques (IST) (pp. 1-6). IEEE.

Azkarate, A. (2020). La Arqueología de la Arquitectura a Revisión. Arqueología de la Arquitectura, 17, e101.

Bacco, M., Barsocchi, P., Cassará, P., Germanese, D., Gotta, A., Leone, G.R., Moroni, D., Pascali, M.C., & Tampucci, M. (2020). Monitoring Ancient Buildings: Real Deployment of an IoT System Enhanced by UAVs and Virtual Reality. IEEE Access, 8, 50131-50148.

Barca, F., Casavola, P., & Lucatelli, S. (2014). A strategy for inner areas in Italy: definition, objectives, tools and governance. Materiali Uval Series, 31.

Barrile, V., Bilotta, G., & Nunnari, A. (2017). UAV and computer vision, detection of infrastructure losses and 3D modeling. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., 4, 135-139.

Boje, C., Guerriero, A., Kubicki, S., & Rezgui, B. (2020). Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction, 114.

Brogiolo, G. P., & Cagnana, A. (2012). Archeologia dell’Architettura. Metodi e Interpretazioni. Firenze: All’insegna del Giglio.

Bruno, S., & De Fino, M. (2021). Decision-making for historic building diagnosis by logical inference in HBIM approach: the case of onsite inspection of timber elements. SCIRES-IT, 11(2), 67-82.

Chang, E., Kim, H. T., & Yoo, B. (2020). Virtual reality sickness: a review of causes and measurements. International Journal of Human–Computer Interaction, 36(17), 1658-1682.

Chong, H. Y., Lopez, R., Wang, J., Wang, X., & Zhao, Z. (2016). Comparative Analysis on the Adoption and Use of BIM in Road Infrastructure Projects. Journal of Management in Engineering, 32(6), 05016021.

Ciampa, E., De Vito, L., & Pecce, M. R. (2019). Practical issues on the use of drones for construction inspections. Journal of Physics: Conference Series, 1249, 012016.

Conti, A., Fiorini, L., Massaro, R., Santoni, C., & Tucci, G. (2022) HBIM for the preservation of a historic infrastructure: The Carlo III bridge of the Carolino Aqueduct. Applied Geomatics, 14, 41-51.

Continenza, R., Trizio, I., & Rasetta, A. (2013). Digital integrated models for the restoration and monitoring of the cultural heritage: the 3D architectural information system of the church of Santa Maria del Carmine in Penne (Pescara, Italy). In P. Di Giamberardino, D. Iacoviello, A.M. Natal Jorge & J.M.R.S.Tavares (Eds.), Computational modelling of objects represented in images: fundamentals, methods and applications III (pp 439–443). London: Taylor & Francis Group.

Costin, A., Adibfar, A., Hu, H., & Chen, S.S. (2018). Building Information Modeling (BIM) for transportation infrastructure–Literature review, applications, challenges, and recommendations. Automation in Construction, 94, 257-281.

Davila Delgado, J.M., Butler, L., Brilakis, I., Elshafie M.S.E.B., & Middleton, C.R. (2018). Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment. J. Comput. Civ. Eng., 32(3), 04018009.

European Commission, EC (2011). White Paper, Roadmap to a Single European Transport Area –Towards a Competitive and Resource Efficient Transport System. Retrieved from: http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=COM:2011:0144:FIN:EN:PDF (accessed on 17 November 2021).

Fabbrocino, G., Savini, F., Marra, A., & Trizio, I. (2022). Virtual investigation of masonry arch bridges: Digital procedures for in-spection, diagnostics, and data management. In C. Pellegrino, F. Faleschini, M.A. Zanini, J.C. Matos, J.R. Casas, & A. Strauss (Eds.), Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures. EUROSTRUCT 2021. Lecture Notes in Civil Engineering (pp. 979-987). Cham: Springer.

Futai, M.M., Bittencourt, T.N., Santos, R.R., Araújo, C.R.R, Ribeiro, D.M., Rocha, A.R., & Ellis, R. (2022). Utilization of Digital Twins for Bridge Inspection, Monitoring and Maintenance. In C. Pellegrino, F. Faleschini, M.A. Zanini, J.C. Matos, J.R. Casas, & A. Strauss (Eds.), Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures. EUROSTRUCT 2021. Lecture Notes in Civil Engineering (pp. 166-173). Cham: Springer.

Garozzo, R. (2021). A Proposal for Masonry Bridge Health Assessment Using AI and Semantics. In A. Giordano, M. Russo, & R. Spallone (Eds.), Representation Challenges. Augmented Reality and Artificial Intelligence in Cultural Heritage and Innovative Design Domain (pp. 377-381). Milano: Franco Angeli.

Girardet, A., & Boton, C. (2021). A parametric BIM approach to foster bridge project design and analysis. Automation in Construction, 126, 103679.

ICOMOS (2003). Principles for the Analysis, Conservation and Structural Restoration of Architectural Heritage. Retrieved from: https://www.icomos.org/images/DOCUMENTS/Charters/structures_e.pdf (accessed on 22 February 2022).

ICOMOS (2011). The Valletta Principles for the Safeguarding and Management of Historic Cities, Towns and Urban Areas. Retrieved from: https://civvih.icomos.org/book-in-5-languages/ (accessed on 20 June 2022).

Inglese, C., & Paris, L. (Eds.) (2020). Arte e Tecnica dei Ponti Romani in Pietra. Roma: Sapienza Università Editrice.

ISO 13822 (2010). Bases for design of structures – assessment of existing structures. Geneva: ISO TC98/SC2.

Jasiulewicz-Kaczmarek, M., Legutko, S., & Kluk, P. (2020). Maintenance 4.0 technologies–new opportunities for sustainability driven maintenance. Management and Production Engineering Review, 11, 74-87.

Jouan, P., & Hallot, P. (2019). Digital Twin: a HBIM-Based Methodology to Support Preventive Conservation of Historic Assets Through Heritage Significance Awareness. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W15, 609–615.

Kang, J. S., Chung, K., & Hong, E.J. (2021). Multimedia knowledge‐based bridge health monitoring using digital twin. Multimedia Tools and Applications, 80(26), 34.

La Russa, F.M., & Santagati, C. (2020). Historical Sentient – Building Information Model: a Digital Twin for the management of museum collections in historical architectures. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 755–762.

Lasorella, M., Cantatore, E., & Fatiguso, F. (2021). Smart approaches to enhance technical knowledge of in/low-accessible heritage. SCIRES-IT, 11(2), 97-112.

Lubowiecka, I., Arias, P., Riveiro, B., & Solla, M. (2011) Multidisciplinary Approach to the Assessment of Historic Structures Based on the Case of a Masonry Bridge in Galicia (Spain). Computers & Structures, 89, 1615–1627.

Luleci, F., Li, L., Chi, J., Reiners, D., Cruz-Neira, C., & Catbas, F. N. (2022). Structural Health Monitoring of a Foot Bridge in Virtual Reality Environment. Procedia Structural Integrity, 37, 65-72.

Madni, A.M., Madni, C.C., & Lucero, S.D. (2019). Leveraging digital twin technology in model-based systems engineering. Systems, 7(1), 7.

Maietti, F., Di Giulio, R., Medici, M., Ferrari, F., Ziri, A.E., Turillazzi, B., & Bonsma, P. (2020). Documentation, Processing, and Representation of Architectural Heritage Through 3D Semantic Modelling: The INCEPTION Project. In C.M. Bolognesi & C. Santagati (Eds.), Impact of Industry 4.0 on Architecture and Cultural Heritage (pp. 202-238). Hershey, PA: IGI Global.

Manarin, S., Zanini, M.A., Faleschini, F., & Pellegrino, C. (2022). Development of a Bridge Management System (BMS) Based on the New Guidelines of the Italian Ministry of Transport. In C. Pellegrino, F. Faleschini, M.A. Zanini, J.C. Matos, J.R. Casas, & A. Strauss (Eds.), Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures. EUROSTRUCT 2021. Lecture Notes in Civil Engineering (pp. 1416-1424). Cham: Springer.

Marra, A., Rainieri, C., & Fabbrocino, G. (2022). On the Role of Historical Research in the Structural Condition Assessment of Heritage Structures. In S. D’Amico & V. Venuti (Eds.), Handbook of Cultural Heritage Analysis (pp. 1701-1722). Cham: Springer.

Marra, A., Trizio, I., & Fabbrocino, G. (2021). Digital Tools for the knowledge and safeguard of historical heritage. In C. Rainieri, G. Fabbrocino, N. Caterino, F. Ceroni & M.A. Notarangelo (Eds.), Civil Structural Health Monitoring. CSHM 2021. Lecture Notes in Civil Engineering (pp 645-662). Cham: Springer.

Marra, A., Trizio, I., Savini, F., Ruggieri A., & Fabbrocino G. (2021a). Una procedura per l’Historic Digital Twin (HDT) dei ponti ad arco in muratura/ A procedure for Heritage Digital Twin (HDT) of masonry arch bridges. In T. Empler, A. Caldarone & A. Fusinetti (Eds.), 3D Modelling e BIM 2021 – Digital Twin (pp. 358-373). Roma: DEI srl Tipografia del Genio Civile.

Marra, A., Trizio, I., Fabbrocino, G., & Savini, F. (2021b). Digital Models for E-Conservation: The HBrIM of a Bridge along the Aterno River. SCIRES-IT, 11(2), 83-96.

Mascareñas, D.D., Ballor, J.P., McClain, O.L., Mellor, M.A., Shen, C.Y., Bleck, B., Morales, J., Yeong, L.M.R., Narushof, B., Shelton, P., Martinez, E., Yang, Y., Cattaneo, A., Harden, T.A., & Moreu, F. (2021). Augmented reality for next generation infrastructure inspections. Structural Health Monitoring, 20(4), 1957-1979.

McGuire, B., Atadero, R., Clevenger, C., & Ozbek, M. (2016). Bridge information modeling for inspection and evaluation. Journal of Bridge Engineering, 21(4), 04015076.

McKenna, T., Minehane, M., O'Keeffe, B., O'Sullivan, G., & Ruane, K. (2017). Bridge information modelling (BrIM) for a listed viaduct. Proceedings of the Institution of Civil Engineers-Bridge Engineering, 170(3), 192-203.

Mishra, M., Lourenço, P.B., & Ramana, G.V. (2022). Structural health monitoring of civil engineering structures by using the internet of things: A review. Journal of Building Engineering, 48, 103954.

MIT (2020). Decree of Ministry of Infrastructure no. 578 17/12/2020. Guidelines on risk classification and management, safety assessment and monitoring of existing bridges; High Council of Public Works, Italian Ministry of Infrastructures and Transportations: Roma, Italy, 2020. (In Italian). Retrieved from: https://www.mit.gov.it/comunicazione/news/mit-approvate-le-linee-guida-per-la-sicurezza-dei-ponti (accessed on 17 November 2021).

Mora, R., Sánchez-Aparicio, L.J., Maté-González, M.Á., García-Álvarez, J., Sánchez-Aparicio, M., & González-Aguilera, D. (2021). An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca. Automation in Construction, 121, 103449.

Nguyen, D.C., Shim, C.H., Nguyen, Q., Jin, R., & Jeon, C.H. (2020). Developing a mixed-reality based application for bridge inspection and maintenance. In The 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). Teeside University.

Nili, M. H., Zahraie, B., & Taghaddos, H. (2020). BrDSS: A decision support system for bridge maintenance planning employing bridge information modeling. Smart Structures and Systems, 26(4), 533-544.

Omer, M., Hewitt, S., Mosleh, M.H., Margetts, L., & Parwaiz, M. (2018). Performance evaluation of bridges using virtual reality. In 6th European Conference on Computational Mechanics (ECCM 6) 7th European Conference on Computational Fluid Dynamics (ECFD 7).

Omer, M., Margetts, L., Hadi Mosleh, M., Hewitt, S., & Parwaiz, M. (2019). Use of gaming technology to bring bridge inspection to the office. Structure and Infrastructure Engineering, 15(10), 1292-1307.

Oreni, D., Brumana, R., Della Torre, S., & Banfi, F. (2017). Survey, HBIM and Conservation Plan of a Monumental Building Damaged by Earthquake. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 337–342.

Pinto, L., Bianchini, F., Nova, V., & Passoni, D. (2020). Low-cost UAS Photogrammetry for Road Infrastructures’ Inspection. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1145–1150.

Rainieri, C., Gargaro, D., Fabbrocino, G., Maddaloni, G., Di Sarno, L., Prota, A., & Manfredi, G. (2018). Shaking table tests for the experimental verification of the effectiveness of an automated modal parameter monitoring system for existing bridges in seismic areas. Structural Control and Health Monitoring, 25, (7) e2165.

Rainieri, C., Rosati, I., Cieri, L., & Fabbrocino, G. (2022). Development of the digital twin of a historical structure for SHM purpose. In 10th European Workshop on Structural Health Monitoring (10th EWSHM), Palermo.

Roberts, R., Inzerillo, L., & Di Mino, G. (2020). Exploiting Low-Cost 3D Imagery for the Purposes of Detecting and Analyzing Pavement Distresses. Infrastructures, 5, 6.

Salamak, M.; & Januszka, M. (2018). BrIM bridge inspections in the context of Industry 4.0 trends. In Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges-Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS.

Santarsiero, G., Masi, A., Picciano, V., & Digrisolo, A. (2021). The Italian Guidelines on Risk Classification and Management of Bridges: Applications and Remarks on Large Scale Risk Assessments. Infrastructures, 6, 111.

Savini, F., Rainieri, C., Fabbrocino, G., & Trizio, I. (2021). Applications of Stratigraphic Analysis to Enhance the Inspection and Structural Characterization of Historic Bridges. Infrastructures, 6(1), 7.

Torre, C. (2003). Ponti in muratura: dizionario storico-tecnologico. Firenze: Alinea.

Trizio, I., Savini, F., Ruggieri, A., & Fabbrocino, G. (2021a). Digital environment for remote visual inspection and condition as-sessment of architectural heritage. In C. Rainieri, G. Fabbrocino, N. Caterino, F. Ceroni & M.A. Notarangelo (Eds.), Civil Structural Health Monitoring. CSHM 2021. Lecture Notes in Civil Engineering (pp. 869-888). Cham: Springer: Cham.

Trizio, I., Marra, A., Savini, F., & Fabbrocino, G. (2021b). Survey Methodologies and 3D Modelling for Conservation of Historical Masonry Bridges. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., 8, 163-170.

Ye, C., Butler, L., Bartek, C., Iangurazov, M., Lu, Q., Gregory, A., Girolami, M., & Middleton, C. (2019). A Digital Twin of Bridges for Structural Health Monitoring. In Proceedings of the 12th International Workshop on Structural Health Monitoring. Stanford University.

Zollini, S., Alicandro, M., Dominici, D., Quaresima, R., & Giallonardo, M. (2020). UAV photogrammetry for concrete bridge inspection using object-based image analysis (OBIA). Remote Sensing, 12, 3180.


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Francesca Savini, Adriana Marra, Alessio Cordisco, Marco Giallonardo, Giovanni Fabbrocino, Ilaria Trizio

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

 

 

SCIRES-IT, e-ISSN 2239-4303

Journal founded by Virginia Valzano