Storm evolution characterization for analysing stone armour damage progression

Martín-Hidalgo, Melva; Martín-Soldevilla, Ma. Jesús; Negro, Vicente; Aberturas, Paloma; Gutiérrez, José Santos López

doi:10.1016/j.coastaleng.2013.11.008

Cited by 18 publications

(16 citation statements)

References 24 publications

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“…These statistical models can deal with level 3 (probabilistic) designs, considering random simulation of the loads, while presenting a pre-defined dependence structure (for example, via Archimedean copulas). Recent methodologies for coastal infrastructure design consider the joint action of wave-height, wave-period, and storm-duration [16,99]. Beach management could also benefit from the additional robustness, due to consistency in climatic co-factors.…”

Section: Applicability Of the Resultsmentioning

confidence: 99%

Multivariate Hybrid Modelling of Future Wave-Storms at the Northwestern Black Sea

Lin-Ye

Garcı́a-León

Gràcia

et al. 2018

Water

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The characterization of future wave-storms and their relationship to large-scale climate can provide useful information for environmental or urban planning at coastal areas. A hybrid methodology (process-based and statistical) was used to characterize the extreme wave-climate at the northwestern Black Sea. The Simulating WAve Nearshore spectral wave-model was employed to produce wave-climate projections, forced with wind-fields projections for two climate change scenarios: Representative Concentration Pathways (RCPs) 4.5 and 8.5. A non-stationary multivariate statistical model was built, considering significant wave-height and peak-wave-period at the peak of the wave-storm, as well as storm total energy and storm-duration. The climate indices of the North Atlantic Oscillation, East Atlantic Pattern, and Scandinavian Pattern have been used as covariates to link to storminess, wave-storm threshold, and wave-storm components in the statistical model. The results show that, first, under both RCP scenarios, the mean values of significant wave-height and peak-wave-period at the peak of the wave-storm remain fairly constant over the 21st century. Second, the mean value of storm total energy is more markedly increasing in the RCP4.5 scenario than in the RCP8.5 scenario. Third, the mean value of storm-duration is increasing in the RCP4.5 scenario, as opposed to the constant trend in the RCP8.5 scenario. The variance of each wave-storm component increases when the corresponding mean value increases under both RCP scenarios. During the 21st century, the East Atlantic Pattern and changes in its pattern have a special influence on wave-storm conditions. Apart from the individual characteristics of each wave-storm component, wave-storms with both extreme energy and duration can be expected in the 21st century. The dependence between all the wave-storm components is moderate, but grows with time and, in general, the severe emission scenario of RCP8.5 presents less dependence between storm total energy and storm-duration and among wave-storm components.

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Section: Applicability Of the Resultsmentioning

confidence: 99%

Multivariate Hybrid Modelling of Future Wave-Storms at the Northwestern Black Sea

Lin-Ye

Garcı́a-León

Gràcia

et al. 2018

Water

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“…Such authors demonstrated that profiling techniques are more accurate for larger damages and that calibrated image analysis techniques can underestimate damage levels, particularly if the second layer is affected. It is worth noting that in order to understand the failure mechanism of the structure, it is important to consider not only damage levels but also damage progression (Comola et al, 2014;Martin-Hidalgo et al, 2014). Therefore dynamic measurements over large portions of the breakwater are necessary.…”

Section: Introductionmentioning

confidence: 99%

3-D monitoring of rubble mound breakwater damages

et al. 2018

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Breakwaters play a crucial role in the protection of coastal zones. Their maintenance is critical to safeguard the daily activities of harbours and marine areas. The evaluation of damage is a necessity for timely preservation works. Traditional monitoring methods span various techniques, ranging from mechanical profilers to optical systems. Current methods though are typically expensive, requiring remarkably sophisticated technologies which demand a high degree of expertise to be operated. In this paper, we propose an affordable yet accurate fully automated method based on 3D cameras. Our technique is non invasive, allowing hence non intrusive as well as fast measure of damage over time, simultaneously above and below sea water level. Experimental results obtained on laboratory breakwater models demonstrated that the proposed point cloud method, which does not depend on the imaging sensor and can be applied to any 3D dataset of rubble mound breakwater, can achieve accurate damage estimation, even when using a budget RGB-D camera. One of the additional advantages of using RGB-D cameras is the possibility to obtain measurements also in the presence of water.

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“…The simulation of storms of met-ocean variables is a tool commonly used in probabilis tic design and probabilistic coastal risk assessments (see e.g. Martín-Hidalgo et al 2014, Li et al 2014, Davies et al 2017, ROM 1.0-09 and ROM 1.1 to be published). Traditionally, storms simulation methods have been based on the simulation of just a few values per storm, typically the peak significant wave height reached during a storm (i.e.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Sea Storms Including Multivariate Storm Evolution

Solari¹,

Losada²

2018

Int. Conf. Coastal. Eng.

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A new method for the simulation of storms is proposed which takes into account the multivariate evolution of the storms, allowing to innovate in the form of each simulated storm, for all the variables involved. The method is based on two novel aspects: (a) measured storms are grouped using clusters techniques and a set of average evolution forms is defined for each cluster, one for each of the variables involved, and (b) a Vector Autoregressive model is fitted to the differences between the average evolution of each variable and the actual measured evolutions. The ability of the methodology to properly reproduce the joint probability distribution of all the variables involved is demonstrated for a case study at the mid Rio de la Plata northern coast.

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Storm evolution characterization for analysing stone armour damage progression

Cited by 18 publications

References 24 publications

Multivariate Hybrid Modelling of Future Wave-Storms at the Northwestern Black Sea

Multivariate Hybrid Modelling of Future Wave-Storms at the Northwestern Black Sea

3-D monitoring of rubble mound breakwater damages

Simulation of Sea Storms Including Multivariate Storm Evolution

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