Unmanned Mother-Submarine Key Technology

장주기 다목적 무인 잠수모함 핵심기술개발

Submarine Structure
Study 1: QZS-based Metastructure
Submarine Structure
Study 2: Kirigami-based Composite
Submarine Structure
Study 3: Truss-based Resonant Structure

Situation

  • Rapid advancement of SLBMs and nuclear-powered AUVs by neighboring countries.
  • Urgent need for long-term, covert surveillance to counter evolving maritime nuclear threats.

Task

  • Achieving superior acoustic stealth for 5-year unmanned mission profiles.
  • Maintaining integrity of nuclear reactors and precision sensors against structural noise.
  • Implementation of high-performance vibration reduction for covert operations.

Action

  • AI-Driven Metastructure Design & Optimization.
  • Study 1 (QZS-based):
    Design of local buckling metastructures for low-frequency vibration isolation via Quasi-Zero Stiffness (QZS) under high-preload conditions.
  • Study 2 (Kirigami-based):
    Design of kirigami composite metamaterials for simultaneous high-load structural integrity and precision vibration reduction.
  • Study 3 (Truss-based):
    Design of truss-based resonant metastructures for enhanced underwater vibration attenuation via inertial amplification effects.

Result

  • Exceptional Noise Reduction: Significant reduction in sonar detectability through low-frequency vibration control.
  • Long-term Operational Success: Proven feasibility of reliable, autonomous operations for nuclear-powered motherships.

Project Information

  • Project Name: Core technology development of a unmanned underwater vehicle for multipurpose and long-term operation
  • Category: AI & Optimization
  • Client: Agency for Defense Development (ADD)
  • Project Date: 2019.08 - 2024.07
  • Software Stack: COMSOL Multiphysics, Matlab, Python
Achievements
PAPER Composite Structures 359 (2025): 119031.
Hong, Hyunsoo, et al.
PAPER ACS Applied Materials & Interfaces 16.14 (2024): 17965-17972.
Hong, Hyunsoo, et al.
PAPER Composites Part A: Applied Science and Manufacturing 193 (2025): 108845.
Kim, Samuel, et al.