Challenges in the application of digital transformation to inspection and maintenance of bridges

Bridge management through digital twin-based anomaly detection systems: A systematic review

“…Assessing both the robustness and resilience of a bridge implies dealing with a series of uncertainties related to material resistances and external loads. An adequate assessment methodology could be, as suggested by Futai et al (2022), the implementation of reliability-based and risk-based performance indicators. It has been proved that modeling uncertainties can greatly be reduced by the adoption of a DT framework (Rojas-Mercedes et al, 2022).…”

Research progress and prospect of digital twin in bridge engineering

“…Journal of civil structural health monitoring O&M (Dang and Shim, 2020) 14 Lecture notes in civil engineering O&M (Bello et al, 2022) 3 Lecture notes in civil engineering F, O&M (Zhou et al, 2022) -Lecture notes in civil engineering F, O&M (Kang et al, 2021) 27 Multimedia tools and applications F, O&M (Mohammadi et al, 2021) 37 Remote sensing E (Marra et al, 2021) 3 SCIRES-IT E (Shao et al, 2020) 19 Sensors E (Ghahari et al, 2022) 6 Sensors O&M (Yu et al, 2022) 5 Structural control and health monitoring O&M (Yoon et al, 2022) 2 Structural and multidisciplinary optimization O&M (Ye et al, 2019) 40 Proceedings of the 12th international workshop on structural health monitoring O&M (Shu et al, 2019) 3 Proceedings of the 12th international workshop on structural health monitoring E, O&M (Jiang et al, 2021a) 4 Structural monitoring and maintenance O&M (Shim et al, 2019a) 99 Structure and infrastructure engineering F, O&M (Omer et al, 2019) 45 Structure and infrastructure engineering E, O&M (Ye et al, 2020a) 7 Structure and infrastructure engineering O&M (Jiang et al, 2022a) 1 Structure and infrastructure engineering F, O&M (Futai et al, 2022) 3 Structure and infrastructure engineering F, O&M Note: The number of citations in the table is based on the Scopus data as of June 2023. The meaning of the symbols in the table is defined in the following section.…”

“…Intelligent actions (Dan et al, 2021;Bittencourt et al, 2021;Dang and Shim, 2020;Bello et al, 2022;Jiang et al, 2022a;Futai et al, 2022;Shim et al, 2019a) from the beginning of bridge service leads to insufficient type and accuracy of virtual inspection to identify defects. A sustainable and updatable digital twin of the bridge should be established in the future from the perspective of the whole bridge's life cycle.…”

“…Furthermore, the BDT represents the real behavior of the bridge as well as its future performance, which can help engineers specify a long-term strategy for bridge operations management (Shim et al, 2019a). For example, Futai et al (2022) built a digital twin of a 6-span reinforced concrete railroad bridge to better support bridge operators in decision-making and unified management. Shim et al (2019a) proposed a digital twin-based maintenance system for small and medium span bridges, combining a continuously updated digital twin model with a digital inspection system.…”

Deep Learning-Empowered Robot Vision for Efficient Robotic Grasp Detection and Defect Elimination in Industry 4.0

“…The procedure should begin on the production lines to allow for early detection of defects and deficiencies, utilizing emerging vision assessment technology to further improve the rhythm of production with quality satisfaction. Vision sensors are widely utilized to address such concerns nowadays; however, inspection quality still must be improved [3]. With that aim, we are combining deep learning with sensing cameras to create a monitoring application that enables the early detection of faulty manufactured Eng.…”