Probabilistic connectivity assessment of bridge networks considering spatial correlations associated with flood and seismic hazards DOI

Putri S. Firdaus,

H. Matsuzaki, Mitsuyoshi Akiyama

и другие.

Structure and Infrastructure Engineering, Год журнала: 2023, Номер 20(7-8), С. 1015 - 1032

Опубликована: Ноя. 10, 2023

To estimate the connectivity of a road network, it is crucial to evaluate correlation hazard intensities among individual bridge locations since probability multiple bridges being damaged simultaneously depends on degree this correlation. However, research assessment networks considering spatial correlations associated with flood scarce in literature. When quantifying intensities, modeling based stream distance rather than Euclidean required, taking into account that river flow restricted only within network. achieve purpose, novel methodology proposed network geostatistical linear model and covariance models. In addition, study considers seismic intensity. With method, possible identify which play an important role ensuring under hazards, i.e. seismic. As illustrative example, method applied hypothetical Kumamoto Prefecture, Japan. The results demonstrate improved can be achieved by implementing relevant retrofitting strategy for bridges.

Язык: Английский

Review of Hydraulic Bridge Failures: Historical Statistic Analysis, Failure Modes, and Prediction Methods DOI
Wen Xiong, C.S. Cai,

Rongzhao Zhang

и другие.

Journal of Bridge Engineering, Год журнала: 2023, Номер 28(4)

Опубликована: Фев. 6, 2023

Hydraulic factors have become the principal causes of bridge failures since 1990s. They account for around 50% in database constructed by present authors. generally occur without early warning, with significantly destructive results. These kinds are expected to continue future due increasing climate change all over world. This paper is intended a comprehensive review up-to-date work on hydraulic three factors: scour, flood, and floe ices. First, we conduct historical statistic analysis failures, especially focusing features, based 1,700 cases collected past 200 years. Then, failure modes prediction methods ices, respectively, discuss some relevant examples applications adopted current practices. The aim this provide concise but summary information needed researchers engineers understand mechanisms bridges how practices deal these issues. Much has been dedicated determining what research required furtherly subject find improved solutions existing problems. We hope that will

Язык: Английский

Процитировано

30

Conflict-resilience framework for critical infrastructure peacebuilding DOI Creative Commons
Stergios Α. Mitoulis, Sotirios Argyroudis, Mathaios Panteli

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 91, С. 104405 - 104405

Опубликована: Янв. 13, 2023

Apart from security issues, war-torn societies and countries face immense challenges in rebuilding damaged critical infrastructure. Existing post-conflict recovery frameworks mainly focus on social impacts mitigation. Also, existing for resilience to natural hazards are based design intervention, yet, they not fit infrastructure a number of reasons explained this paper. Post-conflict peacebuilding can be enhanced when by assessment (RBA) is employed, using standoff observations that include data disparate remote-sensing sources, e.g. public satellite imagery, forensics crowdsourcing, collected during the conflict. This paper discusses why conflicts warfare require new framework achieving resilience. It then introduces novel includes different scales with asset regional considers levels knowledge, data-driven assessments facilitate prioritisation reconstruction. The applied transport network area west Kyiv, Ukraine demonstrate how support decision-makers, such as governments multilateral financial institutions, address needs accelerate humanitarian assistance, absorb shocks maximise after

Язык: Английский

Процитировано

28

Can flood resilience of green-grey-blue system cope with future uncertainty? DOI
Dingkun Yin, Xiaoyue Zhang, Yihua Cheng

и другие.

Water Research, Год журнала: 2023, Номер 242, С. 120315 - 120315

Опубликована: Июль 5, 2023

Язык: Английский

Процитировано

27

New technologies for bridge inspection and monitoring: a perspective from European Union research and innovation projects DOI Creative Commons
Konstantinos Gkoumas, Marcin Stępniak, Ilias Cheimariotis

и другие.

Structure and Infrastructure Engineering, Год журнала: 2024, Номер 20(7-8), С. 1120 - 1132

Опубликована: Фев. 12, 2024

Europe's transportation infrastructure including bridges requires optimised maintenance plans and adequate monitoring throughout its life cycle to ensure safety serviceability. The deployment of new technologies can help this goal, providing numerous advantages compared existing established inspection methods. This be facilitated by policies focused research innovation, taking also into account the European ambitions for safe, secure, future-proof infrastructure. Considering above, objective study is threefold. First, it provides an overview recent policy initiatives in Europe that facilitate adoption emerging bridge monitoring, as well general. Second, identifies reviews R&I projects relevant bridges, budgetary expenditure, from Horizon 2020 Research Framework Programme which was recently concluded. Finally, systematically solutions developed identified projects, assessing their technology readiness. What emerges substantial research, includes (e.g., use air or ground drones, artificial intelligence, digital twins) have potential reshape state play beyond.

Язык: Английский

Процитировано

13

Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure DOI Creative Commons
Karīna Buka-Vaivade, Vanni Nicoletti, Fabrizio Gara

и другие.

Open Research Europe, Год журнала: 2025, Номер 5, С. 26 - 26

Опубликована: Янв. 27, 2025

Floods pose a critical threat to bridge infrastructure, which plays an essential role in transportation networks and economic resilience. This review examines state-of-the-art Structural Health Monitoring (SHM) technologies tailored mitigate flood risks, focusing on their real-world applications flood-prone bridges. A central feature of this is the extensive use case studies, illustrating diverse SHM methods applied globally monitor challenges such as debris accumulation, hydrodynamic forces, scour—primary causes failures. These examples provide detailed insights into like sonar-based devices, scour probes, photographic monitoring, rotation- vibration-based techniques. By showcasing specific studies—such bridges monitored using smart magnetic rocks, Interferometric Synthetic Aperture Radar (InSAR), fibre optic sensors—the highlights practical outcomes, demonstrating how systems enhance resilience through early detection predictive maintenance. It also explores implementing these systems, including environmental sensitivity, cost, data complexity, while identifying gaps integrating hydraulic structural for holistic risk assessments. advocates multidisciplinary collaboration advanced data-driven solutions, AI-based maintenance, address climate change impacts increasing risks. bridging cutting-edge research with applications, article provides actionable scalable, adaptive inspiring engineers researchers develop more resilient infrastructure changing world.

Язык: Английский

Процитировано

1

Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure DOI Creative Commons
Karīna Buka-Vaivade, Vanni Nicoletti, Fabrizio Gara

и другие.

Open Research Europe, Год журнала: 2025, Номер 5, С. 26 - 26

Опубликована: Март 17, 2025

Floods pose a critical threat to bridge infrastructure, which plays an essential role in transportation networks and economic resilience. This review examines state-of-the-art Structural Health Monitoring (SHM) technologies tailored mitigate flood risks, focusing on their real-world applications flood-prone bridges. A central feature of this is the extensive use case studies, illustrating diverse SHM methods applied globally monitor challenges such as debris accumulation, hydrodynamic forces, scour-primary causes failures. These examples provide detailed insights into like sonar-based devices, scour probes, photographic monitoring, rotation- vibration-based techniques. By showcasing specific studies-such bridges monitored using smart magnetic rocks, Interferometric Synthetic Aperture Radar (InSAR), fibre optic sensors-the highlights practical outcomes, demonstrating how systems enhance resilience through early detection predictive maintenance. It also explores implementing these systems, including environmental sensitivity, cost, data complexity, while identifying gaps integrating hydraulic structural for holistic risk assessments. advocates multidisciplinary collaboration advanced data-driven solutions, AI-based maintenance, address climate change impacts increasing risks. bridging cutting-edge research with applications, article provides actionable scalable, adaptive inspiring engineers researchers develop more resilient infrastructure changing world.

Язык: Английский

Процитировано

1

Risk assessment of flood disasters in the Poyang lake area DOI
Xianmin Wang, Wenxue Chen,

Jing Yin

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 100, С. 104208 - 104208

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

19

Strategic assessment of bridge susceptibility to scour DOI Creative Commons
Moustafa Naiem Abdel-Mooty, Manu Sasidharan, Manuel Herrera

и другие.

Reliability Engineering & System Safety, Год журнала: 2024, Номер 251, С. 110334 - 110334

Опубликована: Июль 11, 2024

Scour-induced failures of bridges pose a global challenge, leading to significant economic and service losses. Compounded by infrequent inspections inadequate consideration hydro-geological factors in current scour risk assessments, this issue is particularly pressing the context climate change associated hazards. Addressing imperative for enhanced infrastructure resilience, study introduces framework management. Utilizing Geographic Information Systems (GIS) datasets applying Analytic Hierarchy Process (AHP) assess various weighted affecting risk, we have systematically mapped information layers encompassing structural, riverine, geological, flood conduct strategic susceptibility assessment. The proposed approach applied railway network southeast England, identifying scour-susceptible that can be prioritized detailed inspections. Compared existing scores, scores approximately 30 region were adjusted, with 22 transitioning from medium high priority. Our methodology, exemplified case study, offers asset managers deeper insights into determinants facilitates informed decision-making prioritizing scour-mitigation measures across network.

Язык: Английский

Процитировано

6

Investigating the impact of sea surface temperature on the development of the Mediterranean tropical-like cyclone “Ianos” in 2020 DOI Creative Commons
George Varlas, Ioannis Pytharoulis, Gert‐Jan Steeneveld

и другие.

Atmospheric Research, Год журнала: 2023, Номер 291, С. 106827 - 106827

Опубликована: Май 23, 2023

Язык: Английский

Процитировано

15

A new approach to flood susceptibility analysis of urbanised alluvial fans: the case of Bursa City (Türkiye) DOI Creative Commons
Furkan Corapci, Hasan Özdemir

Natural Hazards, Год журнала: 2024, Номер unknown

Опубликована: Июнь 11, 2024

Abstract Floods stand out as one of the most significant disasters impacting human life, causing widespread economic and social damage across globe. Numerous research studies have concentrated on comprehending contributing factors flooding. Despite prevalence morphometry-based basin flood susceptibility analyses in existing literature, a comprehensive examination that encompasses anthropogenic features alluvial fans is notably lacking. This study aims to evaluate their catchments urbanised areas, integrating individual collective basin/fan (B/F) morphometry land use characteristics with inventory data. The area selected for this investigation fan systems situated northern slope Uludağ Massif (2543 m), highest point Marmara Region, northwestern Türkiye. Twelve morphometric parameters were applied 5 m resolution Digital Elevation Model data, while six fans. In addition, results assessed using Normalised Morphometric Flood Index method mitigate subjectivity result ranking. According integrated obtained through bivariate analysis, B/F6 exhibits very high susceptibility, B/F1, B/F3, B/F2, B/F5, B/F4, B11/F8 demonstrate susceptibility. B7, 8, 9, 10/F7 display moderate potential generating floods. These findings align significantly historical events area.

Язык: Английский

Процитировано

5