Researches on Detailed Numerical Simulation of Submersible Ballast Tank High-Pressure Air Blowing Based on Adaptive Runge–Kutta Method

Abstract In this study, a detailed numerical simulation of the high-pressure air blowing (HP air blowing system) accurate expected process for submersible ballast tanks was conducted, motivated by the urgent need for accurate numerical simulation models to optimize the performance of this system, which is critical for the safety and maneuverability of the boat. The study involved a series of experiments on a test bench to validate the numerical simulation model. A comprehensive numerical simulation model was developed, incorporating various influencing factors. The model was based on the Laval spray theory, one-dimensional (1D) air flow theory, van der Waals equation, Bernoulli equation, and isothermal compression of the air cushion, with the adaptive Runge–Kutta (RK) computation method proposed for the computations. The results of the study indicated that the relative errors of the main parameters between the simulation and the experimental submersible were below 5%. It was observed that increasing the sea-valve area and reducing the blowing duration could lower the cost of high-pressure air. Conversely, increasing the air pipe length resulted in a prolonged blowing duration and a decreased drainage rate of the ballast tank. The findings of this research suggest that the proposed model is a promising strategy of the accurate expected behavior prediction for the HP air blowing system of submersibles or submarines. Conclusions drawn from the experiments are appropriate for assessments of engineering design, providing valuable technical support for further research and development in this field.

Authors

Institutions

Publication Details

Journal
Journal of Pressure Vessel Technology
Published
2025-06-17
DOI
https://doi.org/10.1115/1.4068951
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Researches on Detailed Numerical Simulation of Submersible Ballast Tank High-Pressure Air Blowing Based on Adaptive Runge–Kutta Method

Bangjun Lyu, Xiguang He, Likun Peng, Jingjun Lou et al.
1 links
Journal of Pressure Vessel Technology
Simulation and Modeling Applications
article

Researches on Detailed Numerical Simulation of Submersible Ballast Tank High-Pressure Air Blowing Based on Adaptive Runge–Kutta Method

Bangjun Lyu, Xiguang He, Likun Peng, Jingjun Lou, Baoling Huang, Jia Chen
article en

Abstract

Abstract In this study, a detailed numerical simulation of the high-pressure air blowing (HP air blowing system) accurate expected process for submersible ballast tanks was conducted, motivated by the urgent need for accurate numerical simulation models to optimize the performance of this system, which is critical for the safety and maneuverability of the boat. The study involved a series of experiments on a test bench to validate the numerical simulation model. A comprehensive numerical simulation model was developed, incorporating various influencing factors. The model was based on the Laval spray theory, one-dimensional (1D) air flow theory, van der Waals equation, Bernoulli equation, and isothermal compression of the air cushion, with the adaptive Runge–Kutta (RK) computation method proposed for the computations. The results of the study indicated that the relative errors of the main parameters between the simulation and the experimental submersible were below 5%. It was observed that increasing the sea-valve area and reducing the blowing duration could lower the cost of high-pressure air. Conversely, increasing the air pipe length resulted in a prolonged blowing duration and a decreased drainage rate of the ballast tank. The findings of this research suggest that the proposed model is a promising strategy of the accurate expected behavior prediction for the HP air blowing system of submersibles or submarines. Conclusions drawn from the experiments are appropriate for assessments of engineering design, providing valuable technical support for further research and development in this field.

Journal of Pressure Vessel TechnologyVol. 147(5)
Naval University of Engineering (CN)
Openalex Percentile: Top 85%
Simulation and Modeling Applications
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.