Coastal Engineering最新文献

{"title":"From points to waves: Fast ocean wave spatial–temporal fields estimation using ensemble transform Kalman filter with optical measurement","authors":"Feng Wang ,&nbsp;Qidan Zhu ,&nbsp;Chengtao Cai ,&nbsp;Xiaoyu Wang ,&nbsp;Renjie Qiao","doi":"10.1016/j.coastaleng.2024.104690","DOIUrl":"10.1016/j.coastaleng.2024.104690","url":null,"abstract":"<div><div>Accurate spatial–temporal wave measurement is vital for ocean engineering applications. Although stereo vision shows great potential in this field, performing dense reconstruction requires processing vast amounts of pixel data, which reduces the efficiency of stereo image matching and subsequent point cloud processing. Recently, the paradigm of fusing sparse 3D points with predictions has emerged as a promising solution that balances accuracy and efficiency, yet requires an optimization framework capable of handling both state estimation and robust outlier filtering. Therefore, this study proposes a Kalman filter (KF)-based method for ocean wave field estimation, aiming to improve efficiency through recursion and to remove outliers and interpolation errors in measurements. The method leverages linear gravity wave dispersion relations for prediction, with sparse 3D points interpolated to a uniform grid as measurements. To address limitations of high-dimensional data processing, the study implements the Ensemble Transform Kalman Filter (ETKF), incorporating fuzzy logic to handle potential outliers. By maintaining an ensemble of states and employing ensemble transformation techniques to avoid computationally expensive matrix inversions, ETKF significantly improves recursive processing efficiency. Both CPU and GPU implementations were evaluated on published and field-collected datasets, demonstrating superior performance in efficiency, accuracy, and robustness compared to existing methods under the same paradigm.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104690"},"PeriodicalIF":4.2,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GreenSurge: An efficient additive model for predicting storm surge induced by tropical cyclones","authors":"Beatriz Pérez-Díaz,&nbsp;Laura Cagigal,&nbsp;Sonia Castanedo,&nbsp;Valvanuz Fernandez-Quiruelas,&nbsp;Fernando J. Méndez","doi":"10.1016/j.coastaleng.2024.104691","DOIUrl":"10.1016/j.coastaleng.2024.104691","url":null,"abstract":"<div><div>Storm surge is one of the main components of sea level beyond coastal flooding induced by intense storm events such as tropical cyclones (TCs). This component can be estimated using dynamic numerical simulations that consider both the inverse barometer effect induced by pressure gradients and wind setup. However, the dynamic approach can be computationally demanding and time-consuming, particularly for being included in early warning systems of resource-constrained communities. In this study, we introduce as an alternative, a novel additive hybrid model known as GreenSurge. This model relies on the generation of a library of sea-level responses to unitary wind sources from any direction, along with the assumption of a linear dynamics framework for the summation of the spatial and temporal sea-level responses, facilitating the efficient reconstruction of storm surge at regional-to-local scales. To showcase the capabilities of GreenSurge, we have implemented the method in the Pacific Island of Tongatapu (Tonga) to predict the storm surge induced by several TCs and compare its capabilities against dynamic numerical simulations and available tide gauge data. Given its similar accuracy (errors less than 10% of the maximum storm surge value) and higher computational efficiency when compared with dynamic hydrodynamic models, GreenSurge has proven to be a great alternative for reconstructing historical time series, feeding coastal flooding models, or even analysing climate change scenarios.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104691"},"PeriodicalIF":4.2,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Full-scale tsunami-induced scour around a circular pile with three-dimensional seepage","authors":"Zhengyu Hu,&nbsp;Yuzhu Pearl Li","doi":"10.1016/j.coastaleng.2024.104676","DOIUrl":"10.1016/j.coastaleng.2024.104676","url":null,"abstract":"<div><div>Seepage flows induced by geophysical tsunamis play a significant role in the tsunami boundary layer dynamics and associated sediment mobility. However, its impact on sediment transport and seabed morphodynamics in the presence of coastal structures remains unclear. In this study, we conduct rigid-bed and morphological simulations to investigate the role of seepage response in full-scale tsunami-induced flow features and sediment transport around a circular pile. The expressions for the onset threshold of sediment transport and the bed load motions are derived considering both bed-slope modifications and three-dimensional seepage forces, which are implemented in the coupled hydrodynamic, morphological, and soil models. The rigid-bed simulations demonstrate that the seabed suction response to the elevation wave can reduce the bed shear stress amplification underneath the contraction of streamlines alongside the pile and lee-wake vortices. The seabed injection response to the depression wave increases the stress amplification. It advances the position of boundary layer separation over the height of the pile, which further changes the lee-wake vortices. Note that the size of the horseshoe vortex and the upward-directed pressure gradient within it are less affected by the seepage flows. In morphological simulations, suspended load transport dominates the scour around the pile. Seabed suction during the elevation wave can slightly reduce the sediment transport rate, decreasing the scour depth, especially at the pile side. Seabed injection during the elevation wave causes exacerbated suspended load transport, leading to a more rapid and severe scour at the back of the pile. This study advances the understanding of seepage effects on tsunami-induced sediment transport and scour around a monopile foundation.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104676"},"PeriodicalIF":4.2,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wave dissipation induced by flow interactions with porous artificial reefs","authors":"Jianjun Huang ,&nbsp;Ryan J. Lowe ,&nbsp;Marco Ghisalberti ,&nbsp;Jeff E. Hansen","doi":"10.1016/j.coastaleng.2024.104688","DOIUrl":"10.1016/j.coastaleng.2024.104688","url":null,"abstract":"<div><div>Porous artificial reefs can be used for coastal protection when they are effective at dissipating incident wave energy. Previous studies have used observations of wave interactions with porous reefs to develop empirical formulations to parameterize wave transmission as a function of reef geometry and hydrodynamic parameters. However, such approaches do not distinguish between the different processes that contribute to dissipation, namely wave breaking and drag-induced dissipation. While drag-induced dissipation can be more significant in porous reefs than in conventional rubble mound structures, the mechanisms that govern wave dissipation by drag forces within porous reefs are not well characterized. As a result, there is limited predictive capacity for describing wave-driven hydrodynamic processes in the interior of porous reefs and how these processes translate into wave dissipation. In this study, physical modelling experiments were conducted in a wave flume to investigate the detailed velocity structure, forces and wave dissipation within multi-row and single-row porous cubic artificial reefs that were exposed to a range of non-breaking regular wave conditions and submergence depths. The results reveal how the porous reef modifies the dynamics of the in-reef flows that are responsible for generating horizontal and vertical drag forces. Drag coefficients for different configurations of single- and multi-row reefs were similar and decreased with a reef Keulegan-Carpenter number (defined as the ratio of the wave orbital excursion to a structural hydraulic radius). Rates of wave dissipation derived from changes in wave energy fluxes across the reef could be explained primarily by the work done by horizontal drag forces, with vertical drag forces playing only a secondary role. Finally, the results from this study were used to develop an analytical model to predict drag-induced dissipation by porous reefs, which was shown to accurately predict wave attenuation across the reef as a function of reef, wave, and depth characteristics.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104688"},"PeriodicalIF":4.2,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physics informed neural network modelling for storm surge forecasting — A case study in the Bohai Sea, China","authors":"Zhicheng Zhu ,&nbsp;Zhifeng Wang ,&nbsp;Changming Dong ,&nbsp;Miao Yu ,&nbsp;Huarong Xie ,&nbsp;Xiandong Cao ,&nbsp;Lei Han ,&nbsp;Jinsheng Qi","doi":"10.1016/j.coastaleng.2024.104686","DOIUrl":"10.1016/j.coastaleng.2024.104686","url":null,"abstract":"<div><div>Storm surges have a great impact on ocean engineering and design complex physical changes. Numerical simulation methods are often used for prediction, but they face problems such as long calculation time. Machine learning avoids these, but it also faces some problems, such as delays in predicting results, short prediction durations, and large data demands. Therefore, we built a PINN model to integrate storm surge physics with neural networks to reduce the need for data and improve the accuracy of storm surge forecasting. Using ADCIRC as a smaller dataset, the cold wave storm surge in Bohai Bay during 2018–2022 was simulated. In the storm surge process prediction experiment, the overall error of PINN is small, RMSE is 0.163. In a 48-h prediction experiments, RMSE of PINN's result is 0.241, which is more accurate than DNN. It is revealed that PINN has a strong physical mechanism learning ability. PINN can predict the storm surge of strong cold wave more accurately, the calculation speed is nearly one thousand times faster than ADCIRC, and it has broad application prospect in disaster prevention and reduction.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104686"},"PeriodicalIF":4.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven shoreline modelling at timescales of days to years","authors":"Joshua A. Simmons,&nbsp;Kristen D. Splinter","doi":"10.1016/j.coastaleng.2024.104685","DOIUrl":"10.1016/j.coastaleng.2024.104685","url":null,"abstract":"<div><div>An increased availability of long-term coastal imaging datasets has opened the door to the use of data-driven modelling approaches to predict shoreline evolution in response to wave and water level conditions. In this study an autoregressive neural network approach has been applied to predict shoreline change over daily to yearly timescales. A dataset comprising two embayed beaches (Narrabeen Beach, Australia and Tairua Beach, New Zealand) has been used, spanning 10 years of daily shoreline position observation at each site. The model shows good cross-validation performance, predicting the shoreline position with an average 4.64 m RMSE (0.78 NMSE) at Tairua and 5.73 m RMSE (0.46 NMSE) at Narrabeen over approximately 2-year test periods.</div><div>The autoregressive component of the model involved the use of the last predicted shoreline position in the prediction of shoreline change over the next timestep. This “memory” of past conditions was found to be crucial to maintaining model stability and prediction accuracy over timescales of weeks to years. Model outputs were interrogated to show the structure of the equilibrium response to previous shoreline position which was more prevalent at Tairua. The model is quite robust to changes in the quantity and temporal resolution of the training data, though training data of more than 2-years was desirable, particularly at Narrabeen.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104685"},"PeriodicalIF":4.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental investigation of evolution of infragravity waves over a large-scale shoal","authors":"Zhiling Liao ,&nbsp;Ye Liu ,&nbsp;Wenhe Liu ,&nbsp;Shaowu Li ,&nbsp;Qingping Zou","doi":"10.1016/j.coastaleng.2024.104687","DOIUrl":"10.1016/j.coastaleng.2024.104687","url":null,"abstract":"<div><div>This study investigates the amplification of infragravity waves induced by short-wave groups over an underwater shoal, as well as their irreversible growth following the processes of shoaling and deshoaling across front and rear slopes of the shoal under various wave conditions. Through laboratory experiments, we observed that, in scenarios without short-wave breaking, the amplification of infragravity waves increased with the peak frequency and spectral width of incident short waves, while decreasing with the water depth atop the shoal. These dependencies were further conceptualized through the introduction of a normalized shoal length, which represents the spatial accumulation of local energy transfer from short to infragravity waves. The normalized shoal length was proved to be equivalent to the normalized bed slope by Battjes et al. (2004), expanding its physical interpretation to include the travel distance of the wave groups. Additionally, the near-resonance solution for infragravity waves by Liao et al. (2021) was extended to incorporate wave attenuation effects, especially under conditions of short-wave breaking within the surf zone where infragravity waves rapidly decay. The modified solution aligns closely with experimental observations regarding infragravity-wave height and phase coupling with short-wave groups. The detailed wave measurements from shoaling to deshoaling zones are useful for enhancing understanding of infragravity wave dynamics over complex seabed features.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104687"},"PeriodicalIF":4.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tsunami debris motion and loads in a scaled port setting: Comparative analysis of three state-of-the-art numerical methods against experiments","authors":"Justin Bonus ,&nbsp;Felix Spröer ,&nbsp;Andrew Winter ,&nbsp;Pedro Arduino ,&nbsp;Clemens Krautwald ,&nbsp;Michael Motley ,&nbsp;Nils Goseberg","doi":"10.1016/j.coastaleng.2024.104672","DOIUrl":"10.1016/j.coastaleng.2024.104672","url":null,"abstract":"<div><div>We present an international comparative analysis of simulated 3D tsunami debris hazards, applying three state-of-the-art numerical methods: the Material Point Method (MPM, ClaymoreUW, multi-GPU), Smoothed Particle Hydrodynamics (SPH, DualSPHysics, GPU), and Eulerian grid-based computational fluid dynamics (Simcenter STAR-CCM+, multi-CPU/GPU). Three teams, two from the United States and one from Germany, apply their unique expertise to shed light on the state of advanced tsunami debris modeling in both open source and professional software. A mutually accepted and meaningful benchmark is set as 1:40 Froude scale model experiments of shipping containers mobilized into and amidst a port setting with simplified and generic structures, closely related to the seminal Tohoku 2011 tsunami case histories which majorly affected seaports. A sophisticated wave flume at Waseda University in Tokyo, Japan, hosted the experiments as reported by Goseberget al. (2016b). Across dozens of trials, an elongated vacuum-chamber wave surges and spills over a generic harbor apron, mobilizing 3–6 hollow debris-modeling sea containers-, in 1–2 vertical layers against friction. One to two rows of 5 square obstacles are placed upstream or downstream of the debris, with widths and gaps of 0.66x and 2.2x of debris length, respectively. The work reports and compares results on the long wave generation from a vacuum-controlled tsunami wave maker, longitudinal displacement of debris forward and back, lateral spreading angle of debris, interactions of stacked debris, and impact forces measured with debris accelerometers and/or obstacle load-cells. Each team writes a foreword on their digital twin model, which are all open-sourced. Then, preliminary statistical analysis contrasts simulations originating off different numerical methods, and simulations with experiments. Afterward, team’s give value propositions for their numerical tool. Finally, a transparent cross-interrogation of results highlights the strengths of each respective method.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104672"},"PeriodicalIF":4.2,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forward energy grade line analysis for tsunami inundation mapping","authors":"María F. Estrada ,&nbsp;Rodrigo Cienfuegos ,&nbsp;Alejandro Urrutia ,&nbsp;Patricio A. Catalán ,&nbsp;Patricio Winckler","doi":"10.1016/j.coastaleng.2024.104673","DOIUrl":"10.1016/j.coastaleng.2024.104673","url":null,"abstract":"<div><div>A simplified model using 1D topobathymetric profiles for generating tsunami inundation maps is implemented and evaluated. The approach is a modification of the ASCE Energy Grade Line Analysis, that allows estimation of the maximum inundation distances using an iterative method. The modified methodology is implemented in three coastal cities in central Chile and compared with a database of 5400 full tsunami simulations obtained from a Nonlinear Shallow Water Equations solver. The key parameter of the model is based on the Froude number, for which three parameterizations and a range of values are tested. Results show that errors in the estimation of the areal extent of the inundation can be as low as 4%, after calibration. However, calibration is site specific and the optimal solution depends on the geographical characteristics of the area of interest. A sensitivity analysis based on the aleatoric sampling of the full tsunami simulation database show that as little as 100 inundation maps are required to perform the calibration of the model. This is a manageable number that offers reduced computational costs when compared with full tsunami simulations, and even those required to train other surrogate models using machine learning.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104673"},"PeriodicalIF":4.2,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment and validation of a versatile SPH-based numerical tank for generating wave-alone, current-alone, and wave-current-combined fields","authors":"Hong-Guan Lyu,&nbsp;Peng-Nan Sun","doi":"10.1016/j.coastaleng.2024.104663","DOIUrl":"10.1016/j.coastaleng.2024.104663","url":null,"abstract":"<div><div>Gravity wave generation, propagation, evolution, and interaction with a current play a key role in coastal and ocean engineering design. Within the Smoothed Particle Hydrodynamics (SPH) framework, this paper presents a versatile meshless numerical tank capable of generating wave-alone, current-alone, and wave–current-combined fields. To this end, the upstream region of the numerical tank is modeled by a so-called Lagrangian particle injector that directly enforces Dirichlet source conditions to generate a desired field. Furthermore, the downstream region of the numerical tank is tackled by deploying a sponge layer in conjunction with an outflow layer to maintain flow consistency during a simulation. Finally, a series of benchmarks and applications are performed to verify and validate the accuracy, convergence, and applicability of the present numerical tank in solving marine hydrodynamics. It is demonstrated that the newly-developed numerical tank is capable of generating accurately different fields widely used in practice in an easy-to-implement manner and hence shows great potential to be a promising alternative to those traditional SPH-based numerical tanks employing a moveable paddle.</div></div>","PeriodicalId":50996,"journal":{"name":"Coastal Engineering","volume":"197 ","pages":"Article 104663"},"PeriodicalIF":4.2,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}