mlsanityData to 7 Oct 2026

Search for universal minimum drag resistance underwater vehicle hull using CFD

arXiv 2302.09441 ↗First posted 18 Feb 2023cs.CE cs.AIcited by 8

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Abstract (arXiv)

In Autonomous Underwater Vehicles (AUVs) design, hull resistance is an important factor in determining the power requirements and range of vehicle and consequently affect battery size, weight, and volume requirement of the design. In this paper, we leverage on AI-based optimization algorithm along with Computational Fluid Dynamics (CFD) simulation to study the optimal hull design that minimizing the resistance. By running the CFD-based optimization at different operating velocities and turbulence intensity, we want to study/search the possibility of a universal design that will provide least resistance/near-optimal design across all operating conditions (operating velocity) and environmental conditions (turbulence intensity). Early result demonstrated that the optimal design found at low velocity and low turbulence condition performs very poor at high velocity and high turbulence conditions. However, a design that is optimal at high velocity and high turbulence conditions performs near-optimal across many considered velocity and turbulence conditions.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 5 of its 22 references that are in the map. First posted on arXiv 18 Feb 2023.

Builds on

5 of 22 references.

References · 5

  1. 2022Constrained Efficient Global Optimization of Expensive Black-box Functionscited by 49
  2. 2022Rare event failure test case generation in Learning-Enabled-Controllerscited by 13
  3. 2022Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regressioncited by 11
  4. 2022Reduced Robust Random Cut Forest for Out-Of-Distribution detection in machine learning modelscited by 7
  5. 2022Modeling and Optimization of a Longitudinally-Distributed Global Solar Gridcited by 5

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Cited by year

Citing papers per year: 2023: 6; 2024: 2.

8 papers.

  1. 2023Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Designcited by 9
  2. 2023Fusion of ML with numerical simulation for optimized propeller designcited by 5
  3. 2023Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hullscited by 4
  4. 2023Vehicle lateral control using Machine Learning for automated vehicle guidancecited by 2
  5. 2024Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledgecited by 1
  6. 2023Systematic design space exploration by learning the explored space using Machine Learningcited by 0
  7. 2023Optimization for truss design using Bayesian optimizationcited by 0
  8. 2024Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD toolcited by 0