2
Accurate statistical analyses of measured wave data time series enable us to estimate the extreme
wave events and their associated probabilities using the theory of extreme values. To obtain
reliable results, statistical treatment is done in chapter two. The wave height associated with the
return period are extracted. In fact, these analyses provide crucial information for designing
coastal defense structures with the appropriate level of protection.
Numerical simulations and modeling techniques have evolved, allowing for more precise and
efficient analysis of wave behavior. In the third chapter, we utilize the DHI Mike 21 software to
simulate wave and current behavior along Algiers Bay. This was done in order to estimate wave
properties reaching Algiers and Marina ports.
The design of these structures relies on accurate formulas such the empirical formulas of Hudson
and Van Der Meer. In chapter four, these formulas are used to design the rubble mound
breakwaters which were used in the focused study area.
Chapter five focus on the interaction between waves and hydraulic structures, such as rubble
mound breakwaters. Various hydraulic responses, including wave run-up, wave run-down, and
overtopping, influence the stability and performance of these structures. Understanding these
phenomena is necessary for optimizing the design and hydraulic stability of coastal protection
structures.
In recent years, machine learning techniques have gained significant prominence in engineering
fields, including coastal engineering. By utilizing these methods, researchers have been able to
develop overtopping prediction models. In Chapter Six of this work, an analysis of well-known
works in this field is explored. Furthermore, a new machine learning model is presented,
specifically focusing on predicting overtopping for rubble mound breakwaters, which
demonstrates its effectiveness for these types of coastal structures.
In the last chapter, a study of the wave flume is presented, employing the first-order wavemaker
theory, which serves as the foundation for wave generation in wave flumes. This topic, leading
to the development of a significant tool in physical modeling, is being explored and approached
for the first time at ENSSMAL. The wave flume, serving as a laboratory tool, provides
researchers with the means to study and comprehend wave behavior on a smaller scale.
Consequently, we can acquire valuable insights into wave characteristics and their impacts on
coastal areas. Understanding the principles of wavemaker design and operation enhances indeed
our understanding of wave behavior. This study was inspired by the notable work presented in
the book "Physical Models and Laboratory Techniques in Coastal Engineering" (Steve,1993)
which served as a valuable resource.
Accurate statistical analyses of measured wave data time series enable us to estimate the extreme
wave events and their associated probabilities using the theory of extreme values. To obtain
reliable results, statistical treatment is done in chapter two. The wave height associated with the
return period are extracted. In fact, these analyses provide crucial information for designing
coastal defense structures with the appropriate level of protection.
Numerical simulations and modeling techniques have evolved, allowing for more precise and
efficient analysis of wave behavior. In the third chapter, we utilize the DHI Mike 21 software to
simulate wave and current behavior along Algiers Bay. This was done in order to estimate wave
properties reaching Algiers and Marina ports.
The design of these structures relies on accurate formulas such the empirical formulas of Hudson
and Van Der Meer. In chapter four, these formulas are used to design the rubble mound
breakwaters which were used in the focused study area.
Chapter five focus on the interaction between waves and hydraulic structures, such as rubble
mound breakwaters. Various hydraulic responses, including wave run-up, wave run-down, and
overtopping, influence the stability and performance of these structures. Understanding these
phenomena is necessary for optimizing the design and hydraulic stability of coastal protection
structures.
In recent years, machine learning techniques have gained significant prominence in engineering
fields, including coastal engineering. By utilizing these methods, researchers have been able to
develop overtopping prediction models. In Chapter Six of this work, an analysis of well-known
works in this field is explored. Furthermore, a new machine learning model is presented,
specifically focusing on predicting overtopping for rubble mound breakwaters, which
demonstrates its effectiveness for these types of coastal structures.
In the last chapter, a study of the wave flume is presented, employing the first-order wavemaker
theory, which serves as the foundation for wave generation in wave flumes. This topic, leading
to the development of a significant tool in physical modeling, is being explored and approached
for the first time at ENSSMAL. The wave flume, serving as a laboratory tool, provides
researchers with the means to study and comprehend wave behavior on a smaller scale.
Consequently, we can acquire valuable insights into wave characteristics and their impacts on
coastal areas. Understanding the principles of wavemaker design and operation enhances indeed
our understanding of wave behavior. This study was inspired by the notable work presented in
the book "Physical Models and Laboratory Techniques in Coastal Engineering" (Steve,1993)
which served as a valuable resource.