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Record W2519032548 · doi:10.20381/ruor-5400

Numerical Modelling of Extreme Hydrodynamic Loading on Coastal Structures

2016· dissertation· en· W2519032548 on OpenAlexaboutno aff
Samieh Sarjamee

Bibliographic record

VenueuO Research (University of Ottawa) · 2016
Typedissertation
Languageen
FieldEngineering
TopicEarthquake and Tsunami Effects
Canadian institutionsnot available
Fundersnot available
KeywordsMarine engineeringGeologyOceanographyEngineeringEnvironmental science

Abstract

fetched live from OpenAlex

Natural disasters usually occur without any warning. They can leave trail of destruction and cause much tragedy. We are at a time when we witness fast technological advances; hence, we need to apply the force of scientific advancements to decrease economic losses and the number of human deaths. Tsunami is one of the extreme environmental events that leaves nothing but a path of death and destruction, and as a result, it is essential to understand this phenomenon and identify the mitigation strategies. Several mitigation strategies have been proposed so far; however, more investigations are still required to achieve an acceptable solution. Researchers around the world are studying different aspects of this phenomenon. One of the proposed solutions that has received much attention is designing tsunami-resistant structures which can withstand the force of a tsunami bore. Various studies have been done so far to understand the base shear force of tsunami bore on structures. The focus of this thesis is to improve and better understand the characteristics of the tsunami base shear forces on structures. Hence, in this thesis, two numerical studies were proposed and performed with the main goal of estimating the total tsunami forces on structure under two different conditions. Those include structures with various cross sections, as well as positioning a mitigation wall at an appropriate location relative to the structure. The first study focused on developing a numerical model to study the relationship between tsunami forces and the geometry of the structure. The main goal of this study was to define a numerical model capable of simulating this case precisely. To ensure the accuracy of the model, a comparison was carried out between the results of the numerical model and experimental test performed at the NRC-CHC (National Research Council- Canadian Hydraulics Center) laboratory in Ottawa, Canada and Université Catholique de Louvain (UCL), Belgium, which revealed a very good agreement between the results of the experimental test and numerical model. Further, the validated model was applied to investigate the tsunami force on structures with various cross sections. The second study focus was on developing a numerical model for understanding the role of mitigation wall (a novel idea proposed as a mitigation strategy by the second author of technical paper 2) on reducing the exerted force of tsunami on structures. After developing various models and applying several turbulence models, a valuable result was obtained which demonstrated that a Large Eddy Simulation (LES) model seems to be an excellent approach for predicting the tsunami forces on the structure with a mitigation wall in the direction of the flow. The results of this study will be used to better estimate the tsunami forces exerted on coastal structures which will light the path to the main goal of designing tsunami resistant-structures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.259
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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