개념설계 단계에서 수상함의 RCS 추정을 위한 데이터베이스 기반 소프트웨어 개발 연구 = A Study on the Development of Database-Based Software for RCS Estimation of Surface Combatants in the Conceptual Design Stage

국문 초록 (Abstract)

본 연구는 수상함의 개념설계 단계에서 레이더 반사 단면적(Radar Cross Section, RCS)을 신속하고 일관되게 추정하기 위한 데이터베이스 기반 RCS 추 정 소프트웨어를 개발하는 것을 목표로 하였다. 기존의 함규모 기반 RCS 추정 방식은 설계 초기 단계에서의 신속한 비교에는 유용하나, 탑재 장비 구성 변화 에 따른 RCS 영향을 정량적으로 반영하는 데에는 한계가 있다. 이를 보완하기 위해 본 연구에서는 수치해석을 통해 산출된 RCS 데이터를 체계적으로 관리할 수 있는 관계형 데이터베이스(MariaDB)를 구축하고, 이를 기반으로 구성요소 기여도를 합산하는 새로운 RCS 추정 기법을 제안하였다. 또한 제안된 추정 기 법을 실제 설계 환경에서 활용할 수 있도록 구성요소 기반 RCS 추정 소프트웨 어(CoRE)를 개발하였다. 제안된 추정 기법은 상용 수상함 모델 2종에 대해 수 치해석 결과와 비교하여 검증되었으며, 전체 RMSE는 약 1.3~1.6 dBsm 수준으 로 나타나 개념설계 단계에서 요구되는 정확도를 만족함을 확인하였다. 본 연구 는 데이터베이스 기반 구성요소 RCS 추정 체계를 제시함으로써, 개념설계 단계 에서의 설계 대안 비교 및 RCS 수준 평가를 지원하는 실무적 설계 지원 도구 로서의 활용 가능성을 제시한다.

다국어 초록 (Multilingual Abstract)

This study presents a database-based component-level RCS estimation software for rapid prediction of the Radar Cross Section (RCS) of surface ships at the conceptual design stage. Conventional ship-scale-based methods are limited in representing RCS variations caused by changes in onboard equipment configurations. To address this issue, a relational database (MariaDB) was constructed to manage numerically derived RCS data, and a component-based RCS estimation method based on non-coherent summation was proposed and implemented in a software tool named CoRE. The proposed method was validated using two commercial surface ship models, showing an overall RMSE of approximately 1.3–1.6 dBsm, which satisfies accuracy requirements for early-stage design. The results demonstrate that the proposed approach can serve as a practical design-support tool for evaluating RCS levels and comparing design alternatives in conceptual ship design.

목차 (Table of Contents)

• Ⅰ. 서 론 ···············································································································1
• 1. 연구 배경 ···········································································································1
• 2. 연구 필요성 ·······································································································1
• 3. 연구 목표 ···········································································································2
• 4. 연구 범위와 구성 ·····························································································2
• Ⅱ. 연구 방법론 ·····································································································3
• 1. RCS 해석 기초 이론 ······················································································3
• 2. 데이터베이스 활용 방안 ·················································································5
• 3. 함규모 기반 RCS 추정 (기존) ·····································································7
• 4. 구성요소 기반 RCS 추정 (신규) ·······························································10
• 5. 추정 결과 검증 ·······························································································12
• Ⅲ. 데이터베이스 설계 및 구현 ·······································································14
• 1. 스키마 설계 ·····································································································14
• 2. 입력/관리 모듈 설계 ·····················································································17
• Ⅳ. 소프트웨어 개발 ···························································································19
• 1. CoRE 사용자 인터페이스 ············································································19
• 2. 주요 기능 및 특징 ·························································································22
• Ⅴ. 구성요소 기반 RCS 추정 결과 검증 ······················································ 23
• 1. 상용모델(1) ·····································································································24
• 2. 상용모델(2) ·····································································································29
• 3. 결과 고찰 ·········································································································34
• Ⅵ. 결론 ·················································································································35
• 참 고 문 헌 ··········································································································36
• Abstract ··············································································································38
• 부록1. 상용모델(1) 탑재장비 수치해석 결과 ··············································· 39
• 부록2. 상용모델(2) 탑재장비 수치해석 결과 ··············································· 84