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Record W7082001475 · doi:10.36487/acg_repo/2515_53

Custom-tailored solutions for specific tasks: geotechnical solutions for mines and tailing storage facilities

2025· article· en· W7082001475 on OpenAlexaboutno aff

Bibliographic record

VenueMine closure · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsExcavationFoundation (evidence)Shaft miningCoal miningSubsoilDrilling and blastingDrilling rigPiping

Abstract

fetched live from OpenAlex

Planning and construction of new, and the rehabilitation of existing mines and tailings storage facilities, entails some challenges for mine operators, consultants and contractors when it comes to subsoil engineering. Site-specific conditions, technical requirements, geological conditions and numerous interfaces to other parts of the total system require individually tailored solutions for seepage barriers and ground improvement to generate an overall technically and economically optimised system for the specific task. Such kinds of specialist foundation engineering have been successfully carried out by BAUER for mines and tailings storage facilities in Europe, the Middle East and North America. Structural diaphragm wall shafts as deep as 120 m were installed at Woodsmith Mine (England). By comprehensive re-design, conventional shaft sinking methodology was replaced by an innovative foreshaft construction using circular diaphragm wall shafts. Plastic concrete cut-off walls with inserted sheet pile elements of considerable extent were constructed at Arab Potash Company (APC) Dike (Jordan). Through re-engineering, the originally considered single-phase system with self-hardening slurries was replaced by the two-phase system to construct a hybrid diaphragm wall made of sheet piles and plastic concrete, fulfilling both excavation support and cut-off function. A complex combination of several construction methods was applied at Diavik Diamond Mine A21 (Canada) to seal the new dike for open pit mining. Ground/soil improvement measures were executed at Red Dog Mine (USA) and at another mine in Canada. All these interventions were accompanied by comprehensive quality QA/QC and health, safety and environment measures to fulfil the strict conventions of the mining industry. Such foundation construction methods as described in the abovementioned case studies can be used at any time up to and including mine closure, to minimise the risks to the public, the environment, groundwater etc. posed by abandoned mines, and have been successfully used in the closure/enclosure of open cast coal mines in Germany and the encapsulation of former chemical industry sites.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.251
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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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