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Structure · dataset · 2026

Data and code for: Probabilistic reliability assessment and robust design of PET fiber mortar

Listed in Teesside University Research Data Repository

Description

This dataset supports the manuscript “Probabilistic reliability assessment and robust design of PET fiber mortar.” It contains the original 27-run Box–Behnken experiment and 21 author-reported historical independent mixing batches representing 12 formulations, together with documented analysis code, frozen numerical inputs and calculation outputs aligned with manuscript revision v9. The older 12-record historical table is a subset of the 21 records.

Repeated formulations F01/F02/F03 contain 3/6/3 batches. The calculations cover the reconstructed model pool and common-error screening, continuous-window numerical integration, retained interval and covariance diagnostics, source-specific external confirmation analyses, response/dose sensitivity and conditional cost comparisons. This is a transparent reconstruction where original statistical source code was unavailable; original measured values are preserved.

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Historical records are retrospective development evidence, not a newly conducted prospective blind test. Predictions, simulated scenarios and numerical draws are distinct from measured batches. Numerical uncertainty intervals do not include all model or physical-process uncertainty.

The archive provides CSV and workbook discovery files, a data dictionary, module-specific reproduction instructions, source attribution and licensing notices, and a file inventory. It excludes the unpublished main manuscript, reviewer correspondence, private annotations, factory photographs/video/audio and third-party full articles. Original data/documentation use CC BY 4.0 and original code uses MIT; literature-derived material retains its source rights.

See THIRD_PARTY_NOTICES.md for scope.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Audio 75% · Tabular 65% · Video 75%
Provenance · 1 source records, 15 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/fcth9pd2w2.112 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:videoenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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