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Record W4416211968 · doi:10.5957/smc-2025-098

Preliminary Sea-Chest Sizing from Grating Intake Velocity and Cooling Requirement

2025· article· W4416211968 on OpenAlexaffabout
Winston D. Hoffman

Bibliographic record

VenueSNAME Maritime Convention · 2025
Typearticle
Language
FieldEngineering
TopicShip Hydrodynamics and Maneuverability
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSizingHullEngineering design processProcess (computing)GratingSet (abstract data type)Rule of thumbFlow (mathematics)Naval architecture

Abstract

fetched live from OpenAlex

Abstract Sea-chest sizing is a process that is often based on rules of thumb rather than a set scientific method. This paper aims to create such a method by incorporating real world data and sound engineering principles. Specifically, the use of example species to set a flow velocity that will avoid impingement on fish, comparing engine indicated power to obtain an early estimate for flow rate, and ratio of open area to grating area to size the sea-chest. The main use case of this method is for future Marine Mechanical Design students to size sea-chests on their third-year project vessels. INTRODUCTION A large part of the Marine Mechanical Design program at the Marine Institute of Memorial University of Newfoundland is creating the third-year design project. This involves taking a previous year’s Naval Architecture third-year project vessel and designing the auxiliary systems for that ship. The sea main and sea chest of the project vessel used in this paper can be seen in figure 1. The students are given structural drawings and minimal information and tasked with making decisions that will turn the bare hull into a working ship. This paper aims to create a preliminary method to size sea-chests for the use of future Marine Mechanical Design students in the creation of their third-year projects. To do this, three key pieces of information are required. The flow velocity through the grating, the flowrate, and the grating open area. FLOW VELOCITY THROUGH GRATING A review of current regulations found very little in the way of hard and fast rules about the flow velocity of sea chests. The United States Code of Federal Regulations states: "…each cooling water intake structure at your facility to a maximum through-screen design intake velocity of 0.5 ft/s;". (United States Code of Federal Regulations, 2013, Title 40 Chapter I Subchapter D Part 125.84), however, this regulation is intended for application to cooling water intake structures of civil installations in freshwater bodies rather than for a vessel. Given the limited availability of guidance of velocity through the grating, a suitable metric needed to be determined.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes2
Has abstractyes

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