{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T13:31:57Z","timestamp":1782221517159,"version":"3.54.5"},"reference-count":91,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009629","name":"Fondazione Caritro","doi-asserted-by":"publisher","award":["2021.0224"],"award-info":[{"award-number":["2021.0224"]}],"id":[{"id":"10.13039\/501100009629","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We live in an environment of ever-growing demand for transport networks, which also have ageing infrastructure. However, it is not feasible to replace all the infrastructural assets that have surpassed their service lives. The commonly established alternative is increasing their durability by means of Structural Health Monitoring (SHM)-based maintenance and serviceability. Amongst the multitude of approaches to SHM, the Digital Twin model is gaining increasing attention. This model is a digital reconstruction (the Digital Twin) of a real-life asset (the Physical Twin) that, in contrast to other digital models, is frequently and automatically updated using data sampled by a sensor network deployed on the latter. This tool can provide infrastructure managers with functionalities to monitor and optimize their asset stock and to make informed and data-based decisions, in the context of day-to-day operative conditions and after extreme events. These data not only include sensor data, but also include regularly revalidated structural reliability indices formulated on the grounds of the frequently updated Digital Twin model. The technology can be even pushed as far as performing structural behavioral predictions and automatically compensating for them. The present exploratory review covers the key Digital Twin aspects\u2014its usefulness, modus operandi, application, etc.\u2014and proves the suitability of Distributed Sensing as its network sensor component.<\/jats:p>","DOI":"10.3390\/s22093168","type":"journal-article","created":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T03:46:11Z","timestamp":1650512771000},"page":"3168","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":134,"title":["Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating"],"prefix":"10.3390","volume":"22","author":[{"given":"Mattia Francesco","family":"Bado","sequence":"first","affiliation":[{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9089-4583","authenticated-orcid":false,"given":"Daniel","family":"Tonelli","sequence":"additional","affiliation":[{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Poli","sequence":"additional","affiliation":[{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7591-9519","authenticated-orcid":false,"given":"Daniele","family":"Zonta","sequence":"additional","affiliation":[{"name":"Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4473-4308","authenticated-orcid":false,"given":"Joan Ramon","family":"Casas","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Technical University of Catalonia (UPC), Jordi Girona 1\u20133, 08034 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Callcut, M., Cerceau Agliozzo, J.P., Varga, L., and McMillan, L. (2021). Digital twins in civil infrastructure systems. Sustainability, 13.","DOI":"10.3390\/su132011549"},{"key":"ref_2","unstructured":"Economist, T. (2022, February 24). The Third Industrial Revolution. Available online: http:\/\/www.economist.com\/node\/21553017."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Degryse, C. (2016). Digitalisation of the Economy and Its Impact on Labour Markets, ETUI. ETUI Research Paper-Working Paper.","DOI":"10.2139\/ssrn.2730550"},{"key":"ref_4","first-page":"63","article-title":"Tackling the digitalization challenge: How to benefit from digitalization in practice","volume":"5","author":"Parviainen","year":"2017","journal-title":"Int. J. Inf. Syst. Proj. Manag."},{"key":"ref_5","unstructured":"Buckley, B., and Logan, K. (2022, March 01). The Business Value of BIM for Infrastructure. Available online: https:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/us\/Documents\/finance\/us-fas-bim-infrastructure.pdf."},{"key":"ref_6","first-page":"8","article-title":"Smart infrastructure: An emerging frontier for multidisciplinary research","volume":"170","author":"Ogie","year":"2017","journal-title":"Proc. Inst. Civ. Eng.-Smart Infrastruct. Constr."},{"key":"ref_7","first-page":"18","article-title":"Smart infrastructure matches supply and demand","volume":"13","author":"Weiss","year":"2009","journal-title":"Networker"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.seps.2010.07.005","article-title":"Estimating the benefits of effectively and proactively maintaining infrastructure with the innovative Smart Infrastructure sensor system","volume":"44","author":"Morimoto","year":"2010","journal-title":"Socioecon. Plann. Sci."},{"key":"ref_9","unstructured":"Bolton, A., Butler, L., Dabson, I., Enzer, M., Evans, M., Fenemore, T., Harradence, F., Keaney, E., Kemp, A., and Luck, A. (2018). Gemini Principles, Centre for Digital Built Britai."},{"key":"ref_10","unstructured":"(2022, March 12). ASHVIN: Digitizing and Transforming the European Construction Industry. Available online: https:\/\/www.ashvin.eu\/."},{"key":"ref_11","unstructured":"ASCE (2021). ASCE Report Card for America\u2019s Infrastructure 2021\u2014A Comprehensive Assessment of America\u2019s Infrastructure Executive Summary, ASCE."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5014007","DOI":"10.1061\/(ASCE)BE.1943-5592.0000637","article-title":"Distributed Strain Behavior of a Reinforced Concrete Bridge : Case Study","volume":"19","author":"Regier","year":"2014","journal-title":"J. Bridg. Eng."},{"key":"ref_13","unstructured":"Bado, M.F., and Kaklauskas, G. (2017, January 3\u20135). COST Action TU1207, Next Generation Design Guidelines for Composites in Construction. Proceedings of the COST Action TU1207, Budapest, Hungary."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1061\/(ASCE)0733-9399(1997)123:9(897)","article-title":"Structural control: Past, present and future","volume":"123","author":"Housner","year":"1997","journal-title":"J. Eng. Mech."},{"key":"ref_15","unstructured":"(2021, January 12). IM-SAFE Project. Available online: https:\/\/im-safe-project.eu\/."},{"key":"ref_16","unstructured":"(2022, January 13). e-Zigurat Digital Civil Engineering. Available online: https:\/\/www.e-zigurat.com\/blog\/en\/digital-civil-engineering\/."},{"key":"ref_17","unstructured":"(2022, March 12). MaM Digital Twin Market by Source, Type, Application & Geography. Available online: https:\/\/www.marketsandmarkets.com\/Market-Reports\/digital-twin-market-225269522.html."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Lu, R., and Brilakis, I. (2019, January 10\u201312). Generating bridge geometric digital twins from point clouds. Proceedings of the 2019 European Conference on Computing in Construction, Chania, Greece.","DOI":"10.35490\/EC3.2019.182"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Bado, M.F., and Casas, J.R. (2021). A review of recent Distributed Optical Fiber Sensors applications for Civil Engineering Structural Health Monitoring. Sensors, 21.","DOI":"10.3390\/s21051818"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Glisic, B. (2022). Concise Historic Overview of Strain Sensors Used in the Monitoring of Civil Structures: The First One Hundred Years. Sensors, 22.","DOI":"10.3390\/s22062397"},{"key":"ref_21","unstructured":"Baker, M. (2020, May 05). Sensors Power Next-Generation SHM. Available online: https:\/\/www.sensorland.com\/HowPage131.html."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wang, M.L., Lynch, J.P., and Sohn, H. (2014). Introduction to sensing for structural performance assessment and health monitoring. Sensor Technologies for Civil Infrastructures, Woodhead Publishing.","DOI":"10.1533\/9780857099136.1"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Barrias, A., Casas, J.R., and Villalba, S. (2016). A Review of Distributed Optical Fiber Sensors for Civil Engineering Applications. Sensors, 16.","DOI":"10.3390\/s16050748"},{"key":"ref_24","first-page":"1510","article-title":"Strain and crack analysis within concrete members using distributed fibre optic sensors","volume":"18","author":"Zych","year":"2018","journal-title":"Struct. Health Monit."},{"key":"ref_25","unstructured":"(2022, January 12). Luna Innovations Incorporated ODiSI 6000-Optical Distributed Sensor Interrogators. Available online: https:\/\/lunainc.com\/wp-content\/uploads\/2017\/11\/LUNA-ODiSI-6000-Data-Sheet.pdf."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"8601","DOI":"10.3390\/s120708601","article-title":"Recent Progress in Distributed Fiber Optic Sensors","volume":"12","author":"Bao","year":"2012","journal-title":"Sensors"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"106089","DOI":"10.1016\/j.optlaseng.2020.106089","article-title":"Monitoring of CFA pile test using three dimensional laser scanning and distributed fiber optic sensors","volume":"130","author":"Seo","year":"2020","journal-title":"Opt. Lasers Eng."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Kurzweil, R. (2014). The Singularity Is Near, Springer Link.","DOI":"10.1057\/9781137349088_26"},{"key":"ref_29","first-page":"1","article-title":"Digital twin: Manufacturing excellence through virtual factory replication","volume":"1","author":"Grieves","year":"2014","journal-title":"White Pap."},{"key":"ref_30","first-page":"1","article-title":"Modeling, simulation, information technology & processing roadmap","volume":"32","author":"Shafto","year":"2012","journal-title":"Natl. Aeronaut. Space Adm."},{"key":"ref_31","unstructured":"Boschert, S., Heinrich, C., and Rosen, R. (2018, January 7\u201311). Next Generation Digital Twin. Proceedings of the TMCE 2018, Las Palmas de Gran Canaria, Spain."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.tifs.2021.01.025","article-title":"Digital twins are coming: Will we need them in supply chains of fresh horticultural produce?","volume":"109","author":"Defraeye","year":"2021","journal-title":"Trends Food Sci. Technol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"103838","DOI":"10.1016\/j.autcon.2021.103838","article-title":"Digital twin and its implementations in the civil engineering sector","volume":"130","author":"Jiang","year":"2021","journal-title":"Autom. Constr."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.jmsy.2020.06.017","article-title":"Review of digital twin about concepts, technologies, and industrial applications","volume":"58","author":"Liu","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.procir.2018.03.103","article-title":"Digital Twin Service towards Smart Manufacturing","volume":"72","author":"Qi","year":"2018","journal-title":"Procedia CIRP"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Burnett, D., Thorp, J., Richards, D., Gorkovenko, K., and Murray-Rust, D. (2019, January 12\u201314). Digital twins as a resource for design research. Proceedings of the 8th ACM International Symposium on Pervasive Displays (PerDis \u203219), Palermo, Italy.","DOI":"10.1145\/3321335.3329685"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"108952","DOI":"10.1109\/ACCESS.2020.2998358","article-title":"Digital Twin: Enabling Technologies, Challenges and Open Research","volume":"8","author":"Fuller","year":"2020","journal-title":"IEEE Access"},{"key":"ref_38","unstructured":"Ferguson, S. (2022, March 12). LinkedIn Pulse. Available online: https:\/\/www.linkedin.com\/company\/pulse-news\/."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1038\/d41586-019-02849-1","article-title":"Make more digital twins","volume":"573","author":"Tao","year":"2019","journal-title":"Nature"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.cirp.2017.04.040","article-title":"Shaping the digital twin for design and production engineering","volume":"66","author":"Schleich","year":"2017","journal-title":"CIRP Ann."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Saifutdinov, F., Jackson, I., Tolujevs, J., and Zmanovska, T. (2020, January 15\u201316). Digital Twin as a Decision Support Tool for Airport Traffic Control. Proceedings of the 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), Riga, Latvia.","DOI":"10.1109\/ITMS51158.2020.9259294"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"117954","DOI":"10.1016\/j.apenergy.2021.117954","article-title":"Overcoming decision paralysis\u2014A digital twin for decision making in energy system design","volume":"306","author":"Granacher","year":"2022","journal-title":"Appl. Energy"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.neucom.2021.10.043","article-title":"Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic","volume":"470","author":"Silva","year":"2022","journal-title":"Neurocomputing"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1049\/smc2.12015","article-title":"Urban development with dynamic digital twins in Helsinki city","volume":"3","year":"2021","journal-title":"IET Smart Cities"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1177\/2399808318796416","article-title":"Digital twins","volume":"45","author":"Batty","year":"2018","journal-title":"Environ. Plan. B Urban Anal. City Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.future.2021.10.006","article-title":"Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning","volume":"128","author":"Li","year":"2022","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_47","unstructured":"(2022, March 12). NRF Virtual Singapore, Available online: https:\/\/www.nrf.gov.sg\/programmes\/virtual-singapore."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Farsi, M., Daneshkhah, A., Hosseinian-Far, A., and Jahankhani, H. (2020). Internet of Things Digital Twin Technologies and Smart Cities, Springer.","DOI":"10.1007\/978-3-030-18732-3"},{"key":"ref_49","unstructured":"(2022, March 12). Statista Projected Revenue Generated by Companies in the Global Smart City from 2020 to 2025. Available online: https:\/\/www.statista.com\/statistics\/1111626\/worldwide-smart-city-market-revenue\/."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Dembski, F., W\u00f6ssner, U., Letzgus, M., Ruddat, M., and Yamu, C. (2020). Urban digital twins for smart cities and citizens: The case study of Herrenberg, Germany. Sustainability, 12.","DOI":"10.3390\/su12062307"},{"key":"ref_51","unstructured":"(2022, March 12). DS Virtual Singapore. Available online: https:\/\/www.3ds.com\/insights\/customer-stories\/virtual-singapore."},{"key":"ref_52","unstructured":"Government, S. (2022, March 12). Space Out, Available online: https:\/\/www.spaceout.gov.sg\/."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"103316","DOI":"10.1016\/j.compind.2020.103316","article-title":"Digital Twin for maintenance: A literature review","volume":"123","author":"Errandonea","year":"2020","journal-title":"Comput. Ind."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"27167","DOI":"10.1109\/ACCESS.2021.3058009","article-title":"Seven Metaphors to Understand Digital Twins of Built Assets","volume":"9","author":"Camposano","year":"2021","journal-title":"IEEE Access"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1080\/15732470500315740","article-title":"A reliability-based bridge management concept","volume":"3","author":"Zonta","year":"2007","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1098\/rsta.2006.1925","article-title":"Structural health monitoring of civil infrastructure","volume":"365","author":"Brownjohn","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1098\/rsta.2006.1928","article-title":"An introduction to structural health monitoring","volume":"365","author":"Farrar","year":"2007","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Melchers, R.E., and Beck, A.T. (2018). Structural Reliability Analysis and Prediction, John Wiley & Sons.","DOI":"10.1002\/9781119266105"},{"key":"ref_59","unstructured":"Gunner, S., Voyagaki, E., Gavriel, G., Carhart, N., MacDonald, J., Tryfonas, T., Taylor, C., and Pregnolato, M. (July, January 30). Digital Twins for civil engineering: The Clifton Suspension Bridge (UK). Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 10, Porto, Portugal."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1002\/stc.1631","article-title":"Value of information: Impact of monitoring on decision-making","volume":"21","author":"Zonta","year":"2014","journal-title":"Struct. Control Health Monit."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Caspani, V.F., Tonelli, D., Poli, F., and Zonta, D. (2022). Designing a Structural Health Monitoring System Accounting for Temperature Compensation. Infrastructures, 7.","DOI":"10.3390\/infrastructures7010005"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1109\/JPROC.2015.2511540","article-title":"Expected Utility Theory for Monitoring-Based Decision-Making","volume":"104","author":"Cappello","year":"2016","journal-title":"Proc. IEEE"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Tonelli, D., Rossi, F., Luchetta, M., Zonta, D., Migliorino, P., Selleri, A., Valeri, E., Marchiondelli, A., and Ascari, G. (2021). Acoustic Emission Monitoring of Prestressed Concrete Bridges: Differences Before and After the First-Crack Opening. International Workshop on Civil Structural Health Monitoring, Springer.","DOI":"10.1117\/12.2585527"},{"key":"ref_64","unstructured":"ARUP (2019). Digital Twin: Towards a Meaningful Framework, ARUP."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.envdev.2014.04.001","article-title":"Sand, rarer than one thinks","volume":"11","author":"Peduzzi","year":"2014","journal-title":"Environ. Dev."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1080\/15732479.2020.1862251","article-title":"The value of structural health monitoring in seismic emergency management of bridges","volume":"18","author":"Giordano","year":"2020","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Ye, C., Butler, L., Bartek, C., Iangurazov, M., Lu, Q., Gregory, A., and Girolami, M. (2019, January 10\u201312). A Digital Twin of Bridges for Structural Health Monitoring. Proceedings of the 12th International Workshop on Structural Health Monitorin, Palo Alto, CA, USA.","DOI":"10.12783\/shm2019\/32287"},{"key":"ref_68","unstructured":"Goulet, J.-A. (2020). Probabilistic Machine Learning for Civil Engineers, MIT Press."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1007\/s13349-015-0120-0","article-title":"Impact of prior perception on bridge health diagnosis","volume":"5","author":"Cappello","year":"2015","journal-title":"J. Civ. Struct. Health Monit."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Tonelli, D., Cappello, C., and Zonta, D. (2020). Performance-based design of structural health monitoring systems. European Workshop on Structural Health Monitoring, Springer.","DOI":"10.1007\/978-3-030-64908-1_22"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1016\/j.ymssp.2009.09.003","article-title":"A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing","volume":"24","author":"Flynn","year":"2010","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Bado, M.F., Casas, J.R., and Barrias, A. (2018). Performance of Rayleigh-Based Distributed Optical Fiber Sensors Bonded to Reinforcing Bars in Bending. Sensors, 23.","DOI":"10.3390\/s18093125"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Bolstad, W.M. (2009). Understanding Computational Bayesian Statistics, John Wiley & Sons.","DOI":"10.1002\/9780470567371"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"32030","DOI":"10.1109\/ACCESS.2021.3060863","article-title":"The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities","volume":"9","author":"Rathore","year":"2021","journal-title":"IEEE Access"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"113524","DOI":"10.1016\/j.dss.2021.113524","article-title":"Digital Twin: Generalization, characterization and implementation","volume":"145","author":"VanDerHorn","year":"2021","journal-title":"Decis. Support Syst."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.strusafe.2018.05.005","article-title":"Hamiltonian Monte Carlo methods for subset simulation in reliability analysis","volume":"76","author":"Wang","year":"2019","journal-title":"Struct. Saf."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"e2250","DOI":"10.1002\/stc.2250","article-title":"Actions monitoring as an alternative to structural rehabilitation: Case study of a river bridge","volume":"25","author":"Ballio","year":"2018","journal-title":"Struct. Control Health Monit."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Tonelli, D., Verzobio, A., Cappello, C., Bolognani, D., Zonta, D., Bursi, O.S., and Costa, C. (2017, January 12\u201314). Expected utility theory for monitoring-based decision support system. Proceedings of the 11th International Workshop on Structural Health Monitoring 2017, Stanford, CA, USA.","DOI":"10.12783\/shm2017\/14095"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"e2136","DOI":"10.1002\/stc.2136","article-title":"Anomaly detection with the switching kalman filter for structural health monitoring","volume":"25","author":"Nguyen","year":"2018","journal-title":"Struct. Control Health Monit."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.strusafe.2018.05.003","article-title":"Reliability sensitivity estimation with sequential importance sampling","volume":"75","author":"Papaioannou","year":"2018","journal-title":"Struct. Saf."},{"key":"ref_81","unstructured":"(2004). Design of Concrete Structures. General Rules and Rules for Buildings (Standard No. European Committee for Standardization CEN BS EN 1992-1-1:2004)."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Giordano, P.F., Iacovino, C., Quqa, S., and Limongelli, M.P. (2022). The value of seismic structural health monitoring for post-earthquake building evacuation. Bull. Earthq. Eng., 1\u201327.","DOI":"10.1007\/s10518-022-01375-2"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1016\/j.engstruct.2004.05.018","article-title":"Recent applications of fiber optic sensors to health monitoring in civil engineering","volume":"26","author":"Li","year":"2004","journal-title":"Eng. Struct."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Bado, M.F., Casas, J.R., Dey, A., and Berrocal, C.G. (2020). Distributed optical fiber sensing bonding techniques performance for embedment inside reinforced concrete structures. Sensors, 20.","DOI":"10.3390\/s20205788"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"111385","DOI":"10.1016\/j.engstruct.2020.111385","article-title":"Distributed Sensing (DOFS) in Reinforced Concrete members for reinforcement strain monitoring, crack detection and bond-slip calculation","volume":"226","author":"Bado","year":"2021","journal-title":"Eng. Struct."},{"key":"ref_86","first-page":"e2664","article-title":"Fiber optic sensing of concrete cracking and rebar deformation using several types of cable","volume":"28","author":"Zhang","year":"2020","journal-title":"Struct. Control Health Monit."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1080\/15732479.2018.1438479","article-title":"Application of distributed optical fiber sensors for the health monitoring of two real structures in Barcelona","volume":"14","author":"Barrias","year":"2018","journal-title":"Struct. Infrastruct. Eng."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.conbuildmat.2019.05.072","article-title":"Fatigue performance of distributed optical fiber sensors in reinforced concrete elements","volume":"218","author":"Barrias","year":"2019","journal-title":"Constr. Build. Mater."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"104058","DOI":"10.1016\/j.cemconcomp.2021.104058","article-title":"Characterization of concrete shrinkage induced strains in internally-restrained RC structures by Distributed Optical Fiber Sensing","volume":"120","author":"Bado","year":"2021","journal-title":"Cem. Concr. Compos."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"3309","DOI":"10.1177\/1475921720984431","article-title":"Assessment and visualization of performance indicators of reinforced concrete beams by distributed optical fiber sensing","volume":"20","author":"Berrocal","year":"2021","journal-title":"Struct. Health Monit."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1080\/15732479.2020.1731558","article-title":"Crack monitoring in reinforced concrete beams by distributed optical fiber sensors","volume":"17","author":"Berrocal","year":"2020","journal-title":"Struct. Infrastruct. 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