Vincenzo Fiamma

University of Reggio Calabria

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Felice Arena

University of Reggio Calabria

Paolo Boccotti

University of Reggio Calabria

Alessandra Romolo

University of Reggio Calabria

Giuseppe Barbaro

University of Reggio Calabria

Giovanni Malara

University of Reggio Calabria

Pierfabrizio Puntorieri

University of Reggio Calabria

Giandomenico Foti

University of Reggio Calabria

Carlo Ruzzo

University of Reggio Calabria

Valentina Laface

University of Reggio Calabria

Agnieszka Malesińska

Warsaw University of Technology

Cooperative Institutions

University of Reggio Calabria

Wave Up (Italy)

Mediterranean University

Warsaw University of Technology

Weatherford College

University of Strathclyde

University of Lisbon

National Agency for New Technologies, Energy and Sustainable Economic Development

ENEA Casaccia Research Centre

Tecnologia Energia Ambiente Materiali (Italy)

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Wave climate analysis for the design of wave energy harvesters in the Mediterranean Sea

Renewable Energy (2014)

Felice Arena Valentina Laface Giovanni Malara Alessandra Romolo Antonino Viviano

10.1016/j.renene.2014.12.002

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Citations (77)

On wave height distribution in the space domain and in the time domain

CRC Press eBooks (2011)

Paolo Boccotti Felice Arena Vincenzo Fiamma

10.1201/b11810-129

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Citations (0)

Applying Neural Networks to Predict Offshore Platform Dynamics

Journal of Marine Science and Engineering (2024)

Nikolas Martzikos Carlo Ruzzo Giovanni Malara Vincenzo Fiamma Felice Arena

Integrating renewable energy sources with aquaculture systems on floating multi-use platforms presents an innovative approach to developing sustainable and resilient offshore infrastructure, utilizing the ocean’s considerable potential. From March 2021 to January 2022, a 1:15-scale prototype was tested in Reggio Calabria, Italy, which gave crucial insights into how these structures behave under different wave conditions. This study investigates the application of Artificial Neural Networks (ANNs) to predict changes in mooring loads, particularly at key points of the structure. By analyzing metocean data, several ANN models and optimization techniques were evaluated to identify the most accurate predictive model. With a Normalized Root Mean Square Error (NRMSE) of 1.7–4.7%, the results show how ANNs can effectively predict offshore platform dynamics. This research highlights the potential of machine learning in developing and managing sustainable ocean systems, setting the stage for future advancements in data-driven marine resource management.

Dynamics

10.3390/jmse12112001

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An experiment at sea on the reflection of the wind waves

Ocean Engineering (1993)

Paolo Boccotti Giuseppe Barbaro Vincenzo Fiamma Lucio Mannino A. Rotta

Classification of discontinuities

Reflection

Infragravity wave

Wave height

10.1016/0029-8018(93)90017-c

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Citations (25)

Estimation of mean spectral directions in random seas

Ocean Engineering (2010)

Paolo Boccotti Felice Arena Vincenzo Fiamma Alessandra Romolo Giuseppe Barbaro

Sea state

10.1016/j.oceaneng.2010.11.018

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Citations (24)

Shoreline changes near river mouth: case study of Sant’Agata River (Reggio Calabria, Italy)

European Journal of Remote Sensing (2019)

Giandomenico Foti Giuseppe Barbaro Giuseppe Bombino Vincenzo Fiamma Pierfabrizio Puntorieri

The analysis of shoreline changes is very important for coastal planning and management. In territories such as Calabria (Italy), characterized by significant anthropogenic pressures and various eroded coasts, the knowledge of the shoreline changes, and the factors that influence them, is necessary for management and planning of coastal areas. In fact, shoreline position is one of the most important indicators of coastal dynamics. From this point of view recent advances in remote sensing and GIS techniques allow to estimate with great precision the shoreline changes over the years. The paper analyzes the shoreline changes near the mouth of the Sant'Agata River (Reggio Calabria, Italy), carried out through the comparison of various cartography data. Furthermore, the paper analyzes the main factors influencing the coastal dynamics in order to identify possible correlation between these factors and the shoreline changes. The analysis of these factors shows that, in this case study, the rainfall regime has a considerable influence on shoreline change. The methodology described in this paper is particularly useful for better understanding the factors that most influence the coastal balance and, therefore, is applicable to many contexts which are similar to the Sant'Agata river mouth.

Coastal Management

10.1080/22797254.2019.1686955

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Citations (41)

Small Scale Field Experiment on Breaking Wave Pressure on Vertical Breakwaters

Open Journal of Marine Science (2015)

Paolo Boccotti Vincenzo Fiamma Giuseppe Barbaro Luigi Collia

A small scale field experiment (SSFE) was performed on vertical breakwaters in the surf zone.The following are some of the findings.Wind seas may yield breaking wave pressure notwithstanding some large deepwater wave steepness, and small elevation of the wall above the mean water level.Caisson breakwaters can withstand some exceptionally high impulsive force peaks (even twice the weight in still water); whereas, with the same sea state and weight, a breakwater composed of layers of solid concrete blocks is destroyed.

Breakwater

10.4236/ojms.2015.54033

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Citations (1)

A Small Scale Field Experiment for Hydrodynamic Coefficients of Morison’s Forces in Random Waves

Felice Arena Vincenzo Fiamma

The paper deals with wave forces on vertical and horizontal cylinders through the Morison’s equation. In particular, the hydrodynamics coefficients on cylinders are investigated by means of two small scale field experiments in the Natural Ocean Engineering Laboratory (NOEL) of the Mediterranea University of Reggio Calabria, by analyzing two stationary random processes of time: the measured wave force Fa(t), and the wave force calculated with the Morison equation Fc(t). The kinematics in the Morison’s equation is obtained with the theory of wind-generated waves from the directional wave spectrum obtained from measurements of surface waves. Starting from the measurements a new approach is proposed for the evaluation of the hydrodynamic coefficients of Morison’s forces for random sea waves. Finally, the distributions of the peaks of the random wave forces, Fa(t), and Fc(t), is achieved.

Morison equation

Wave height

Airy wave theory

10.1115/omae2013-11587

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The Influence of Water Quality Change on the Corrosion Process in Galvanized Pipes of Fire Protection Installations

Sustainability (2022)

Małgorzata Wojtkowska Agnieszka Malesińska Agnieszka Machowska Pierfabrizio Puntorieri Giuseppe Barbaro

The article presents the results of an investigation of water composition and quality in sprinkler installations, as well as the influence of temperature changes on the corrosion process. The physical and chemical components of the water were measured to ascertain the influence of its properties on the corrosion process in a wet pipe sprinkler system operating in significantly changing ambient temperature conditions. The article presents the results of measurements of the wall thickness of galvanized pipes and changes in the chemical composition of water occurring under the influence of variable ambient temperature. The range and variability of temperatures corresponded to the seasons of the year: spring and summer in a temperate climate. Changes in the corrosive aggressiveness of water were assessed using the Langelier saturation index (LSI), the Ryznar stability index (RSI), and the general acidity intensity index (I). The tests revealed that the tap water used demonstrated strong corrosive properties for galvanized pipes. The calculated indices showed the tendency of water to cause corrosion (−1.1 > LSI < 1.0; RSI = 7.1–12.8). The chemical parameters that significantly influenced the corrosion of galvanized pipes are chloride (Cl−), sulphate (SO42−), and bicarbonate (HCO3−) ions. An important factor contributing to the intensification of corrosion is the roughness and heterogeneity of the pipe surface.

10.3390/su14137708

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Citations (4)

Analysis of Wave Groups in Crossing Seas Using Hilbert Huang Transformation

Procedia Engineering (2015)

Radha Senthilkumar Alessandra Romolo Vincenzo Fiamma Felice Arena K. Murali

The random ocean waves have a natural tendencyto form groups of waves that produced due to the interaction of lower and higher frequency wave components. In this paper Hilbert Huang Transformationis considered, which is the result of the empirical mode decomposition (EMD) and the Hilbert spectral analysis (HSA). HHT uses the EMD method to decompose a signal into so-called intrinsic mode functions, and uses the HSA method to obtain instantaneous frequency data. Using EMD method, any non-stationary data set can be decomposed into a finite and often small number of components, which are intrinsic mode functions(IMF). This decomposition method operating in the time domain is adaptive and highly efficient. Since the decomposition is based on the local characteristic time scale of the data, it can be applied to nonlinear and nonstationaryprocesses. This method is applied to the field data collected in the Natural Ocean Engineering Laboratory (NOEL, Reggio Calabria, Italy) and results on the wave groups in crossing sea are discussed.

Hilbert spectral analysis

Instantaneous phase

Mode (computer interface)

SIGNAL (programming language)

10.1016/j.proeng.2015.08.341

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Citations (6)