Electrochemical cementation of offshore calcareous soil
Bibliographic record
Abstract
The electrochemical stabilization processes are studied in a calcareous soil recovered from the Western Australia coast and on the interface of calcareous soil and steel foundation. A series of experiments are performed to study the effects of two chemical agents used in electrochemical stabilization tests. The strengthening effects of electro kinetics and electrochemical treatments on the calcareous soil are investigated first. Significant increases in the undrained shear strength and effective cohesion are obtained after all tests, and the most significant improvement is found after the electrochemical treatment using a 15% CaCl 2 solution as the stabilization agent. Subsequently, an electrochemical test is carried out on the calcareous soil with an embedded steel plate to simulate a part of a caisson foundation, using CaCl 2 as the stabilization agent. In this test, the practical considerations for later large-scale tests and ultimately for field implementation are taken into account in the design, including factors such as the attachment of electrodes to the foundation, injection of the stabilization agent via perforated pipe electrodes, and distributions of voltage and electrical current in the soil. The result of this test reveals a 700% increase in the steel plate axial load capacity after 7 days of treatment with an applied voltage of 4 V. The main features of the approach are that it generates virtually no disturbance to the soil and the treatment is targeted at the soilstructure interface. With further development, the electrochemical treatment may be applied in offshore engineering for stabilization of foundations installed in weak calcareous soils.Key words: calcareous soil, offshore foundations, soil improvement, chemical stabilization, electrokinetics.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".