Dr Davide Guccione
ARC Industry Fellow
School of Engineering
- Email:davide.guccione@newcastle.edu.au
- Phone:02 4921 5401
Career Summary
Biography
Davide hold a Master and a Bachelor degree in Civil Engineering from the University of Parma in Italy and a Diploma of Mining and Geoenvironmental Qualified Industrial Technician (Caltanissetta, Italy). He recently completed his PhD in Civil Engineering at the University of Newcastle entitled "An experimental investigation of fragmentation occurrence and outcome in the context of rockfall". He is currently a Research Associate at University of Newcastle. His research expertise are in rock mechanics, rockfall analysis and photogrammetry.
Qualifications
- Doctor of Philosophy, University of Newcastle
- Master of Civil Engineering, University of Parma - Italy
Keywords
- Experimental Rock Mechanics
- Geomechanics
- Photogrammetry
- Rock Mechanics
- Rockfall Analysis
- Structure of Motion (SfM)
Languages
- English (Fluent)
- Italian (Mother)
Fields of Research
Code | Description | Percentage |
---|---|---|
401304 | Photogrammetry and remote sensing | 50 |
400502 | Civil geotechnical engineering | 50 |
Awards
Award
Year | Award |
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2023 |
2022 D.H. Trollope Medal Australian Geomechanics Society |
2023 |
Early Career Researcher Excellence Award - Highly Commended College of Engineering, Science, & Environment (CESE), The University of Newcastle |
2020 |
AGS NSW Research Award Australian Geomechanics Society |
Prize
Year | Award |
---|---|
2019 |
Postgraduate Research Prize in Civil Engineering Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
Scholarship
Year | Award |
---|---|
2016 |
The University of Newcastle Research Scholarship Central 50:50 (UNRSC50:50) Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
2016 |
The University of Newcastle International Postgraduate Research Scholarship (UNIPRS) Faculty of Engineering and Built Environment - The University of Newcastle (Australia) |
Teaching
Code | Course | Role | Duration |
---|---|---|---|
CIVL1200 |
Earth System College of Engineering, Science and Environment, University of Newcastle |
Course Coordinator/ Lecturer | 4/7/2022 - 31/12/2023 |
CIVL4230 |
Rock Mechanics & Rock Engineering School of Engineering, The University of Newcastle |
Tutor | 1/7/2018 - 31/12/2021 |
CIVL2282 |
Introduction of Geomechanics School of Engineering, The University of Newcastle |
Lab demonstrator | 1/7/2018 - 31/12/2019 |
CIVL1200 |
Earth System School of Engineering, The University of Newcastle |
Tutor | 1/7/2017 - 31/12/2020 |
CIVL3280 |
Geomechanics 2 School of Engineering, The University of Newcastle |
Lab demostrator/Tutor | 6/2/2017 - 1/6/2020 |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (8 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2023 |
Guccione DE, Giacomini A, Thoeni K, Fityus S, Buzzi O, 'On the Dynamic Fragmentation of Rock-Like Spheres: Insights into Fragment Distribution and Energy Partition', ROCK MECHANICS AND ROCK ENGINEERING, 56 847-873 (2023) [C1]
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2023 |
Buzzi O, Guccione DE, 'An Analytical Model to Predict the Survival Probability of Irregular Brittle Rocks in Rockfall under collinear impact', Rock Mechanics and Rock Engineering, 56 4659-4665 (2023) [C1] The experimental survival probability of one irregular shaped rock was established via 105 drop tests using mortar replicas.The derivation and validation of an analytical model to... [more] The experimental survival probability of one irregular shaped rock was established via 105 drop tests using mortar replicas.The derivation and validation of an analytical model to predict the survival probability of brittle rocks of irregular shape upon collinear¿impact is presented.The survival probability predicted by the model was found to fall withing 5% of the experimental data with an excellent goodness of fit coefficient (R2 ~ 93%).
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2022 |
Guccione DE, Buzzi O, Thoeni K, Giacomini A, Fityus S, 'Practical considerations for the application of a survival probability model for rockfall', Australian Geomechanics Journal, 57 115-129 (2022) [C1]
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2021 |
Guccione DE, Thoeni K, Fityus S, Nader F, Giacomini A, Buzzi O, 'An Experimental Setup to Study the Fragmentation of Rocks Upon Impact', Rock Mechanics and Rock Engineering, 54 4201-4223 (2021) [C1] Rockfall is a natural hazard that needs to be rigorously managed along all the major road and railways transport networks by identifying the most appropriate mitigation measures. ... [more] Rockfall is a natural hazard that needs to be rigorously managed along all the major road and railways transport networks by identifying the most appropriate mitigation measures. There has been significant progress in rockfall modelling and rockfall protection systems in recent years but there remains one aspect that is not very well understood and quite challenging to account for in the design of rockfall protection structures, namely the fragmentation of falling blocks upon impact. Rocks often break up upon impact, which leads to a change in size, shape and energy of falling blocks, parameters that affect the design of the protective structures. Before being able to incorporate fragmentation into predictive trajectory models, it is required to better understand the fragmentation process and its likely outcome (number, volume of fragments and their trajectories). To that aim, an innovative experimental setup was developed at the University of Newcastle (Australia) to study rock fragmentation upon impact. The setup was designed to perform controlled vertical drop tests and record the following impact parameters: impact force, impulse, impact duration, velocities (of the block before impact and its fragment after impact) and all components of energy, pre and post impact. Six views (four high-speed cameras and two mirrors) are used for an accurate reconstruction of the 3D trajectory of blocks and fragments, in translation and rotation. This paper presents the validation of the setup via two series of drop tests using mortar spheres. Attention was focused on the evaluation of impact force and impulse from load cells placed under the impacted surface, tracking of translational and rotational velocity and the computation of total kinetic energy (before and after impact) and all components of energy dissipation. The results confirm that the experimental setup and the approach developed can be used to obtain impact force, impulse and to compute the energy balance during the impact and fragmentation and conduct advanced fragmentation testing.
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2021 |
Guccione DE, Buzzi O, Thoeni K, Fityus S, Giacomini A, 'Predicting the fragmentation survival probability of brittle spheres upon impact from statistical distribution of material properties', International Journal of Rock Mechanics and Mining Sciences, 142 (2021) [C1] Fragmentation of rocks upon impact during rockfall is a phenomenon that is poorly understood, scarcely researched and difficult to predict. However, to adequately predict the outc... [more] Fragmentation of rocks upon impact during rockfall is a phenomenon that is poorly understood, scarcely researched and difficult to predict. However, to adequately predict the outcomes of rockfall events, it is essential to know whether a given block is likely to fragment given the impact conditions and what will be the outcome of the fragmentation process; that is, the number, size and trajectory of fragments. To date, there is no model or data that can be used to fully answer these questions. This paper presents the first theoretical model that can predict the fragmentation survival probability of brittle spherical blocks upon dynamic impact (i.e. drop tests) from the statistical distribution of material properties, determined from a range of standard quasi-static tests. Considering that survival probabilities tend to follow a Weibull distribution, the model focuses on predicting the two Weibull parameters, commonly known as the shape parameter (m) and the scale parameter (here, the critical kinetic energy). The model is based on theoretically-derived conversion factors used to turn the critical work required to fail disc samples in quasi-static indirect tension into the critical kinetic energy to cause failure of spheres at impact in drop tests. The mechanistic conversion factors specifically account for the shape and size of the specimens tested and the increase of strength under dynamic loading (strain rate effect). Three series of drop tests were conducted (on spheres of three different diameters) and complemented by extensive material characterisation testing in order to validate the novel predictive model. The variability of material properties was characterised, and it was found that the material strength found by the characterisation tests generally follows a Weibull form, but the survival probability distribution of the drop tests seems to be linear. The predicted conversion factors were first compared against their experimental counterparts before validating the prediction of survival probability of the spheres upon dynamic impact (in drop tests). It was found that it is possible to predict the survival probability of artificial rock of three different diameters (50 mm, 75 mm, 100 mm) and two different strengths upon impact solely from the statistical information coming from Brazilian tests and with an average relative error of less than 9%.
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2020 |
Guccione DE, Thoeni K, Giacomini A, Buzzi O, Fityus S, 'Efficient Multi-View 3D Tracking Of Arbitrary Rock Fragments Upon Impact', ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020 589-596 (2020) [C1]
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2018 |
Thoeni K, Santise M, Guccione DE, Fityus S, Roncella R, Giacomini A, 'Use of low-cost terrestrial and aerial imaging sensors for geotechnical applications', Australian Geomechanics Journal, 53 101-122 (2018) [C1]
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2016 |
Thoeni K, Guccione DE, Santise M, Giacomini A, Roncella R, Forlani G, 'The potential of low-cost RPAS for multi-view reconstruction of sub-vertical rock faces', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XLI 909-916 (2016) [C1]
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Show 5 more journal articles |
Conference (10 outputs)
Year | Citation | Altmetrics | Link | ||||||||
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2023 |
Guccione D, Giacomini A, Thoeni K, Bahootoroody F, Roncella R, 'A low-cost terrestrial stereo-pair photogrammetric monitoring system for highly hazardous areas', SSIM 2023: Third International Slope Stability in Mining Conference (2023)
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2023 |
Watman A, Guccione DE, Bahootoroody F, Thoeni K, Giacomini A, 'Rockfall instability analysis of coastal cliffs: A case study along Susan Gilmore Beach (Newcastle, NSW)', Proceedings of the 14th Australia and New Zealand Conference on Geomechanics, Cairns 2023 (ANZ2023), Cairns (2023)
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2023 |
Guccione DE, Watman A, Thoeni K, Buzzi O, Giacomini A, 'Coastal Cliffs Rockfall Analyses And Mitigation Measures Assessment Using Rocfall3: A Case Study Along Shortland Esplanade In Newcastle, NSW (Australia)', Proceedings of the Rocscience International Conference (RIC 2023), Toronto (2023) [E1]
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2021 |
Butcher C, Fityus S, Giacomini A, Thoeni K, Guccione D, Buzzi O, 'The effect of impact angle and bond strength on fragmentation in laminated materials', IOP Conference Series: Earth and Environmental Science, Turin, Italy (2021) [E1]
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2021 |
Guccione DE, Buzzi O, Thoeni K, Fityus S, Butcher C, Giacomini A, 'Sensitivity analysis of a new model to predict the survival probability of artificial rock blocks upon dynamic impact', EUROCK 2021 Mechanics and Rock Engineering, from Theory to Practice, Turin, Italy (2021) [E1]
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2019 |
Guccione DE, Thoeni K, Buzzi O, Fityus S, Giacomini A, 'Development of an apparatus to track rock fragment trajectory in 3D', Rock Mechanics for Natural Resources and Infrastructure Development - Full Papers: Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019), Foz do Iguaçu, (2019) [E1]
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2019 |
Guccione DE, Fityus S, Gregg N, Giacomini A, Buzzi O, 'Experimental study on influence of impact angle on fragmentation of brittle blocks upon dynamic impact.', Proceedings of the 13th Australia New Zealand Conference on Geomechanics, Perth, WA (2019) [E1]
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Show 7 more conferences |
Grants and Funding
Summary
Number of grants | 3 |
---|---|
Total funding | $565,527 |
Click on a grant title below to expand the full details for that specific grant.
20242 grants / $92,746
Bridging the gap between rockfall theory and engineering practice$75,000
Funding body: Rock Slope Engineering Pty Ltd
Funding body | Rock Slope Engineering Pty Ltd |
---|---|
Project Team | Doctor Davide Guccione |
Scheme | Research Grant |
Role | Lead |
Funding Start | 2024 |
Funding Finish | 2027 |
GNo | G2400208 |
Type Of Funding | C1200 - Aust Competitive - ARC |
Category | 1200 |
UON | Y |
RIDETHERISK$17,746
Funding body: European Commission, European Union
Funding body | European Commission, European Union |
---|---|
Project Team | Professor Anna Giacomini, Professor Olivier Buzzi, Doctor Davide Guccione, Doctor Maddalena Marchelli, Associate Professor Klaus Thoeni |
Scheme | Marie Sklodowska Curie Action- Postdoctoral Fellowship |
Role | Investigator |
Funding Start | 2024 |
Funding Finish | 2024 |
GNo | G2300921 |
Type Of Funding | C3400 – International For Profit |
Category | 3400 |
UON | Y |
20231 grants / $472,781
Bridging the gap between rockfall theory and engineering practice$472,781
Funding body: ARC (Australian Research Council)
Funding body | ARC (Australian Research Council) |
---|---|
Project Team | Doctor Davide Guccione |
Scheme | Early Career Industry Fellowships |
Role | Lead |
Funding Start | 2023 |
Funding Finish | 2026 |
GNo | G2201142 |
Type Of Funding | C1200 - Aust Competitive - ARC |
Category | 1200 |
UON | Y |
Research Supervision
Number of supervisions
Current Supervision
Commenced | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2023 | PhD | Application of Predictive Analytics Methods to Rockfall Hazard Assessment | PhD (Civil Eng), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
2022 | PhD | Efficient Geotechnical Risk Management of Scenic Rock Cliffs | PhD (Engineering), College of Engineering, Science and Environment, The University of Newcastle | Co-Supervisor |
Dr Davide Guccione
Position
ARC Industry Fellow
School of Engineering
College of Engineering, Science and Environment
Contact Details
davide.guccione@newcastle.edu.au | |
Phone | 02 4921 5401 |
Office
Room | EA 204 |
---|---|
Building | EA |
Location | Callaghan University Drive Callaghan, NSW 2308 Australia University Drive Callaghan, NSW 2308 Australia |