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The engine evaluates a steady-state Sellmeijer criterion and the transient Pol piping criterion on shared Latin-hypercube samples, updates the fragility against the observed 2016 typhoon survival, and composes piping with overflow and fluvial scour into annual system failure probability under historical and +4 K climate ensembles. The two criteria are compared on one driving head and one set of exit conditions, so their difference is the effect of finite flood duration; sections whose survival was carried by drains are not conditioned on it; a year in which two mechanisms would fail is credited to the one that breaks through first.\u003cbr\u003eVersion 1.4.0 corrects the aquifer thickness of one section (KP 57.4) and re-runs every result that depends on it, and adds the timing of pipe breakthrough against the flood peak. Probabilities are conditional on the stated model, soil, geometry, loading and drainage assumptions. Restricted third-party raw inputs and large machine-local production arrays are excluded; the archive documents their provenance and the requirements for full reruns. The Bayesian package's internal 0.1.0 provenance stamp intentionally differs from the 1.4.0 distribution version.\u003cbr\u003eFiles: bep-reliability-engine-v1.4.0.zip is a git archive of the tagged GitHub release v1.4.0 (606 files under one root folder). It holds the three Python packages (bep_reliability_engine, the fragility engine; bayesian_reliability_updating, the survival updating; system_integration, the system composition and annualisation) with their tests, the generated analysis configurations, the processed section input tables and their provenance, the evidence record and note of each reported study, the architecture and decision records, and the figures. 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    <title>bep-reliability-engine v1.4.0: computational evidence for time-dependent backward erosion piping reliability of the Tokachi and Satsunai levees</title>
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