Maria Ferentinou

Maria Ferentinou
Liverpool John Moores University | LJMU

PhD

About

60
Publications
31,135
Reads
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1,073
Citations
Introduction
Dr. Maria Ferentinou’s research focuses on geohazard and risk assessment, climate resilience assessment of geotechnical infrastructure. Her specific interest are, on landslide susceptibility assessment, slope stability, effect of precipitation, rock engineering systems, artificial intelligence and data mining techniques in geotechnics, unsaturated soils, monitoring, engineering education.
Additional affiliations
June 2013 - June 2016
University of KwaZulu-Natal
Position
  • Lecturer
October 2009 - present
Harokopio University
Position
  • ADJUNCT LECTURER
January 2005 - present
National Technical University of Athens
Position
  • PostDoc Position

Publications

Publications (60)
Article
Designing infrastructure founded on very soft deposits requires soil improvement to reduce the compressibility of clay so as to prevent the development of unacceptably high differential settlements. Assessing the likely compression index of clay is critical in determining the extend of the required soil improvement. This research presents extreme l...
Article
Seasonal variations of the moisture content of fine-grained soils may result in the accumulation of significant volumetric strains, which may affect the stability of geotechnical infrastructure. Predicting the swelling potential of soil may therefore be crucial to geotechnical infrastructure integrity. This research presents a series of machine lea...
Article
Full-text available
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms for slope failures, and design slopes with optimal safety and reliability. Before the widespread usage of computers, slope stability analysis was conducted through semi analytical methods , or stability charts. Presently, engineers have developed many comput...
Article
Full-text available
The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace optimization-based hybrid computing models were trained and developed for the prediction of the CBR of soil. Three models were developed, namely reduced error pruning trees (REPTs), random su...
Article
Full-text available
In this paper we compare the partial factors approach of Eurocode 7 with a traditional deterministic limit equilibrium analysis approach and probabilistic approach. The example case is a simplistic model profile of an open pit mine cut slope configuration. The controlling parameters in a structurally dictated failure mechanism were introduced as ra...
Article
Full-text available
Sinkholes are alarming and dangerous events, they have a worldwide occurrence, and are imposing a potential risk to urban communities and the widely developed built environment. Losses due to catastrophic sinkhole collapse, foundation, pavement and structural repairs, occur more often, due to the increased pressure to develop even on sinkhole prone...
Article
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Sinkholes are common geohazards, frequently responsible for sudden catastrophic ground collapse. Thus, effective monitoring would allow for further understanding of the mechanism of occurrence of sinkholes and lead to the development of a potential early warning system to provide an alarm or a warning of incipient col-lapse. In the current study, f...
Article
Landslide susceptibility is the likelihood of landslide occurrence, in a specific place and time. The identification of the potential relationships between landslide susceptibility and conditioning factors is very important towards landslide hazard mitigation. In this paper, we implement a local statistical analysis model geographically weighted re...
Conference Paper
ABSTRACT: This study demonstrates the use of fibre optic instrumentation such as an Optical Time-Domain Reflectometer as well as Fibre Bragg Grating sensors on a small-scale physical 1-g model to monitor potential slope movement. The scope is to improve current knowledge in the field of slope monitoring through the im-plementation of optic fibre se...
Article
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In this study, the effect of rock bridges on rock slope stability was investigated by incorporating non-persistent joint networks in numerical models, and the critical profiles of an open pit mine were analysed. Parallel deterministic networks of infinite and finite lengths, ubiquitous joint network model and Veneziano joint network model were used...
Chapter
Full-text available
Sinkholes are common geohazards, frequently responsible for sudden catastrophic ground collapse. Development on these areas is affected by historic and ongoing geomorphologic processes that may result in surface movements. Centurion and Pretoria in the province of Gauteng, South Africa are large urban environments underlain to a significant extent...
Chapter
In recent years, the use and interest on instrumentation and monitoring to assess the performance of man-made slopes, such as cuttings or embankments, along linear transportation networks, is increasing. An effective approach towards the assessment and identification of precursor signs of incipient failure, is therefore necessary to be implemented....
Conference Paper
Abstract. Sinkholes are common geohazards, frequently responsible for sudden catastrophic ground collapse. Development on these areas is affected by historic and ongoing geomorphologic processes that may result in surface movements. Centurion and Pretoria in the province of Gauteng in South Africa are large urban environments underlain to a signifi...
Article
Abstract. In recent years, the use and interest on instrumentation and monitoring to assess the performance of man-made slopes, such as cuttings or embankments, along linear transportation networks, is increasing. An effective approach to-wards the assessment and identification of precursor signs of incipient failure, is therefore necessary to be i...
Article
In this paper, an adaptive neuro-fuzzy modeling (ANFIS) is applied in order to map landslide susceptibility for a Mediterranean catchment (Peloponnese, Greece). The relationship between landslides and factors influencing their occurrence is investigated in GIS environment. Seven conditioning factors, including elevation, slope angle, profile curvat...
Article
Stability performance of newly open pit slopes are is affected by many factors, namely, overall complex geological environment, water flow, in situ and induced rock stresses, continuous blasting effects and construction methods. It is therefore important to identify the critical parameters affecting slope stability, as well as their interactions, i...
Conference Paper
Full-text available
Slope instability in open pit mining environments present significant safety hazards. The quality and quantity of geotechnical data often expands over time and may give rise to an increase in reliability and a corresponding reduction in uncertainty of input parameters. In this paper, the geotechnical model is built on data obtained from four differ...
Conference Paper
Full-text available
The slopes in open pit mines are typically excavated to the steepest feasible angle to maximize profits. However, there is a greater risk of slope failure associated with steeper slopes. An open pit slope represents a complex multivariate rock engineering system. Interactions between the factors affecting slope stability in open pit mines are there...
Conference Paper
Full-text available
Sandstone is the most significant rock type in the Natal Group, and extends widely within the Marianhill Formation. Due to its prevalence within the Natal Basin it is widely used as aggregate material. It is therefore important to study the physical properties and their relationship to the mechanical properties. The literature on this topic is rath...
Article
Full-text available
The Uniaxial Compressive Strength (UCS) of intact rocks is an essential index of strength in rock engineering. Laboratory based direct compressive strength estimation may be problematic, as obtaining fresh samples is not always feasible. Thus, the aim of indirect methods index test such as point load index test, and empirical correlations with UCS...
Article
Full-text available
The uniaxial compressive strength (UCS) of rocks is a critical parameter required for most geotechnical projects. However, it is not always possible for direct determination of the parameter. Since determination of such a parameter in the lab is not always cost and time effective, the aim of this study is to assess and estimate the general correlat...
Article
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This study focuses on defining rates of fluvial incision for the last 580±5 kyr along valley systems of eight streams that drain the eastern part of the northern Peloponnese. The streams are developed on the uplifted block of the offshore-running Xylokastro normal fault, one of the main faults bounding the southern edge of the Gulf of Corinth half-...
Article
Full-text available
This paper presents the results of geomorphological investigations carried out on the Pinios River delta, which is a Late Holocene arcuate type delta, located in the southern Thermaikos Gulf (Central Greece). Digital elevation model (DEM) analysis and the study of maps of the last two centuries, accompanied by field survey and aerial photo interpre...
Article
Full-text available
In this paper, an integration landslide susceptibility model by combining expert-based and bivariate statistical analysis (Landslide Susceptibility Index—LSI) approaches is presented. Factors related with the occurrence of landslides—such as elevation, slope angle, slope aspect, lithology, land cover, Mean Annual Precipitation (MAP) and Peak Ground...
Article
We applied a computational method to aid in clustering 41 alluvial fans along the southern coast of the Gulf of Corinth, Greece. The morphology of the fans and their catchments was quantitatively expressed through 12 morphometric parameters estimated using geographical information system techniques and the relationships among the geomorphometric fe...
Article
Full-text available
The main scope of this study is to compare the performance of a conventional statistical method like the landslide susceptibility index (LSI) and a soft computing method like artificial neural networks (ANNs). These models were applied in order to realistically map landslide susceptibility (LS) in the Krathis and Krios drainage basins in northern P...
Article
Full-text available
In this paper, bivariate statistical analysis modeling was applied and validated to derive a landslide susceptibility map of Peloponnese (Greece) at a regional scale. For this purpose, landslide-conditioning factors such as elevation, slope, aspect, lithology, land cover, mean annual precipitation (MAP) and peak ground acceleration (PGA), and a lan...
Article
Full-text available
The main aim of this paper is landslide susceptibility assessment using fuzzy expert-based modeling. Factors that influence landslide occurrence, such as elevation, slope, aspect, lithology, land cover, precipitation and seismicity were considered. Expert-based fuzzy weighting (EFW) approach was used to combine these factors for landslide susceptib...
Article
Full-text available
This paper deals with the classification of the coasts of two Greek islands (Salamina and Elafonissos), according to the sensitivity to long-term sea-level rise by applying the Coastal Sensitivity Index (CSI). Salamina lies in the Saronic Gulf about 2 km off-coast from Piraeus (the port of Athens). The island has an area of 93.5 km2 while the total...
Article
Full-text available
The aim of this paper is to investigate landslide susceptibility mapping in regional scale, considering the spatial stationarity of the relationship between landslide susceptibility and its influencing factors. Landslides are among the most severe natural hazards and their management has a key role to human safety. During the last decades, a signif...
Conference Paper
Full-text available
The uncertainty of the natural hazard occurrence makes very difficult the process of decision making and planning. A fairly high number of natural hazard assessment methods and tools is available to decision-makers and planners. Knowledge about the occurrence probability and time period, as well the intensity of a natural hazard is particularly use...
Article
In this paper Geographic Information Systems (GIS) are applied to map the spatial zonation of mass movement susceptibility in national scale via artificial neural networks (ANN), and spatial statistical modelling that is, frequency ratio and Logistic Regression (LR). For this purpose 16 potential factors were identified to map mass movement suscept...
Article
Full-text available
The eustatic sea-level rise due to global warming is predicted to reach approximately 18–59 cm by the year 2100, which necessitates the identification and protection of sensitive sections of coastline. In this study, the classification of the southern coast of the Gulf of Corinth according to the sensitivity to the anticipated future sealevel rise...
Article
Full-text available
This study focuses on defining rates of fluvial incision for the last 350kyrs along valley systems of eight streams (those of Trikalitikos, Katharoneri, Seliandros, Elisson, Assopos, Zapantis, Raizanis and Xerias) that drain the eastern part of the tectonically uplifting area of north Peloponnese. The relationship between incision due to tectonic u...
Article
This paper uses a computational approach to provide insight into the relationships among marine geotechnical properties that characterize the recent sedimentary cover at the head of Zakynthos Canyon in western Greece. Self-organizing maps (SOM) and generic interaction matrix (GIM) theory were used to investigate the tendency of the data to cluster...
Chapter
Over the last few years, Artificial Neural Networks (ANN) have been applied in geotechnical engineering and have been used to model almost all aspects of geotechnical engineering problems. Self-Organizing Map (SOM) is an ANN method which is used widely due to visualization and clustering capabilities for analyzing high dimensional data. The paper d...
Chapter
Full-text available
This study deals with the evaluation of flash flood hazard in the ungauged Diakoniaris torrent drainage basin which is a fifth order stream located in northwestern Peloponnese. Diakoniaris drains an area of 27.83 km2 and discharges into the Gulf of Patras. Its lower reaches flow through the city of Patras and has suffered from intense human interfe...
Conference Paper
Full-text available
The eustatic sea-level rise due to global warming is predicted to be about 18-59 cm by the year 2100, which necessitates identification and protection of vulnerable sections of coasts. In this study, the classification of the south coast of the Gulf of Corinth according to the vulnerability to the anticipated future sea-level rise is attempted by a...
Conference Paper
Full-text available
This study deals with the morphometric analysis of seventeen, Late Holocene, coastal alluvial fans (fan deltas) formed by mountainous streams that discharge along the southwestern coast of the Gulf of Corinth in Northern Peloponnese, Greece. Selected morphometric parameters of the drainage basins were measured and/or estimated using topographic map...
Chapter
A methodology is proposed in order to investigate clustering tendency of data referring to geotechnical properties that describe the recent sedimentary cover at the head of Zakynthos canyon/valley system in western Greece. Furthermore, the technology of unsupervised artificial neural networks (ANNs) is applied to the particular data sets coming fro...
Article
Full-text available
Landslides in the Gulf of Corinth rift zone, Greece, are mainly in the vicinity of major active faults. The current study reports a representative landslide in this structurally controlled region which periodically moved, triggered/reactivated by heavy rainfall and earthquake activity. The composite landslide developed on structurally complex forma...
Chapter
Geographical Information Systems (GIS) and Decision Support Systems (DSS) offer help with natural hazard and risk zonation mapping (Burrough and McDonnell, 1998). GIS is able to: Organize spatial data, Visualise complex spatial relationships of a particular location, make a Spatial Query concerning the characteristics of a particular location, Comb...
Article
The current paper illustrates the application of computational intelligence tools in slope performance prediction both in static and dynamic conditions. We present the results obtained by using the back-propagation algorithm, the theory of Bayesian neural networks and the Kohonen self-organizing maps, one of the most realistic models of the biologi...
Article
Full-text available
Landslides are common phenomena in almost every part of the world. In Greece, there are many areas which suffer from landslides resulting mostly in damages to infrastructures and rarely in fa-talities. Using GIS tools, one can perform stability analysis using infinite slope model, either in large or in medium scale, depending on the demands of the...
Article
Full-text available
The demand for estimating landslide hazard has evolved during the last decade. Landslides are characterised among the most severe natural hazards, which can cause casualties, fatalities, harm or detriment in natural and man-made environment. In the first part of this paper the results of the research conducted on slope deformation due to seismic lo...
Article
The determination of the non-linear behaviour of multivariate dynamic systems often presents a challenging and demanding problem. Slope stability estimation is an engineering problem that involves several parameters. The impact of these parameters on the stability of slopes is investigated through the use of computational tools called neural networ...
Article
In this paper a decision support system is presented, which integrates the technology of geographical information systems in evaluating slope stability. A dynamic tool has been developed in ARC/INFO 7.0.1 Macro Language, the "Landslide Hazard Assessment Tool," which produces safety factor contours giving, as an output, a landslide hazard zonation m...
Conference Paper
Full-text available
Landslides are considered among the most important geohazards as they cause substantial losses worldwide. Landslide susceptibility assessment (LSA) is related to certain influencing factors. Statistical modelling is one of the most preferred methods for LSA and mapping. Although landslide occurrences and influencing factors have spatial variations,...

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Projects (7)
Project
A combined approach using small scale physical models and fibre Brag gratings.
Project
What we can learn from reduced scale models