An Investigation of the Convergence of Average Peak Accelerations for High-Speed Planing Craft

This paper summarizes the results of an investigation of the convergence of average peak accelerations as more and more peaks are recorded during rough-water trials of small high-speed craft. Existing guidance from multiple sources suggest that more peaks is better, but how much more, and what engineering rationale should substantiate the answer? To address the question, simplified equations and numerous examples of peak acceleration data sets are presented. The results demonstrate that convergence of the average of the highest 10 percent of peaks (A1/10), and the average of the highest 1 percent of peaks (A1/100), and the A1/100 / A1/10 ratio means that the shape of the cumulative distribution of the data set becomes more stable as the number of peak acceleration data points increases. A simple percent-difference criterion is presented for quantifying the stability of the cumulative distribution shape.

Authors

Institutions

Publication Details

Published
2024-10-09
DOI
https://doi.org/10.5957/cpbs-2024-002
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Investigation of the Convergence of Average Peak Accelerations for High-Speed Planing Craft

Heidi P Murphy, Michael R. Riley, Brock W. Aron
Manufacturing Process and Optimization
article

An Investigation of the Convergence of Average Peak Accelerations for High-Speed Planing Craft

Heidi P Murphy, Michael R. Riley, Brock W. Aron
article en

Abstract

This paper summarizes the results of an investigation of the convergence of average peak accelerations as more and more peaks are recorded during rough-water trials of small high-speed craft. Existing guidance from multiple sources suggest that more peaks is better, but how much more, and what engineering rationale should substantiate the answer? To address the question, simplified equations and numerous examples of peak acceleration data sets are presented. The results demonstrate that convergence of the average of the highest 10 percent of peaks (A1/10), and the average of the highest 1 percent of peaks (A1/100), and the A1/100 / A1/10 ratio means that the shape of the cumulative distribution of the data set becomes more stable as the number of peak acceleration data points increases. A simple percent-difference criterion is presented for quantifying the stability of the cumulative distribution shape.

NSWC Carderock Division
Openalex Percentile: Top 75%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.