Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Structures, Год журнала: 2025, Номер 72, С. 108199 - 108199
Опубликована: Янв. 12, 2025
Язык: Английский
Процитировано
1Open Research Europe, Год журнала: 2025, Номер 5, С. 26 - 26
Опубликована: Янв. 27, 2025
Язык: Английский
Процитировано
1Open 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
1Ocean Engineering, Год журнала: 2025, Номер 323, С. 120598 - 120598
Опубликована: Фев. 8, 2025
Язык: Английский
Процитировано
0Ocean Engineering, Год журнала: 2024, Номер 312, С. 119257 - 119257
Опубликована: Сен. 18, 2024
Язык: Английский
Процитировано
2Applied Sciences, Год журнала: 2024, Номер 14(18), С. 8552 - 8552
Опубликована: Сен. 23, 2024
Smoothed particle hydrodynamics (SPH) is a state-of-the-art numerical simulation method in fluid mechanics. It novel approach for modeling and comprehending complex behaviors. In contrast to traditional grid-dependent techniques like finite element difference methods, SPH utilizes meshless, purely Lagrangian approach, offering significant advantages simulations. By leveraging set of arbitrarily distributed particles represent the continuous medium, enables precise estimation partial differential equations. This grid-free methodology effectively addresses many challenges associated with conventional providing more adaptable efficient solution framework. SPH’s versatility evident across broad spectrum applications, ranging from advanced computational dynamics (CFD) solid mechanics (CSM), proves effective various scales—from micro macro even astronomical phenomena. Although excels tackling problems involving multiple degrees freedom, boundaries, large discontinuous deformations, it still its developmental phase has not yet been widely adopted. As such, thorough understanding systematic analysis foundational theories are critical. paper offers comprehensive review defining characteristics theoretical foundations method, supported by practical examples derived Navier–Stokes (N-S) also provides critical examination successful applications fields. Additionally, presents case studies application tunnel underground engineering based on experiences long-term on-site monitoring, highlighting alignment real-world conditions. The theory have thus emerged as highly dynamic rapidly evolving research areas. detailed presented this offer valuable insights guidance scholars practitioners alike.
Язык: Английский
Процитировано
1Fluids, Год журнала: 2024, Номер 9(11), С. 247 - 247
Опубликована: Окт. 25, 2024
Examining scouring around bridge piers is crucial for ensuring water-related infrastructure’s long-term safety and stability. Accurate forecasting models are essential addressing scour, especially in complex water systems where traditional methods fall short. This study investigates the application of HEC-RAS 2D sedimentation model, which has recently become available detailed sediment analysis, to evaluate its effectiveness predicting scoring various pier shapes under different conditions. offers a comprehensive assessment model’s predictive capabilities by focusing on variables such as velocity, shear stress, riverbed changes. Particular attention was paid influence factors like floating debris geometries scour predictions. The results demonstrate that while model generally provides accurate predictions simpler shapes—achieving up 85% precision—it shows varied performance more designs debris-influenced scenarios. Specifically, overpredicted depths approximately 20% diamond-shaped underpredicted 15% square Elliptical piers, contrast, experienced significantly less erosion, with 30% shallower compared other shapes. highlights novel this context underscores strengths limitations. Identified issues include difficulties modeling flow debris-induced bottlenecks. research points improved calibration movement parameters development advanced computational techniques enhance prediction accuracy environments. work contributes valuable insights future practical applications civil engineering, mitigation methods, apron coverings, not feasible.
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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