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This study established the theoretical formulation and validation of a two-domain decomposition-based non-dimensional dynamic influence function (NDIF) method for full-frequency eigenvalue analysis of concave acoustic cavities. In the previously developed two-domain decomposition-based NDIF method, the results became unstable or lower-order modes were lost as the number of boundary nodes increased. Although subsequent approaches enabled full-frequency analysis, they remained confined to convex geometries. To overcome these issues, this study proposed a method that enables stable extraction of all eigenvalues, including lower-order eigenvalues, across the full frequency range for both convex and concave cavities, regardless of node count. The validity of the method was demonstrated by analyzing a rectangular cavity with exact analytical solutions, confirming its accuracy and robustness. A series of example studies on various concave acoustic cavities are presented in Part 2 to further verify the effectiveness of the proposed theory.

This study established the theoretical formulation and validation of a two-domain decomposition-based non-dimensional dynamic influence function (NDIF) method for full-frequency eigenvalue analysis of concave acoustic cavities. In the previously developed two-domain decomposition-based NDIF method, the results became unstable or lower-order modes were lost as the number of boundary nodes increased. Although subsequent approaches enabled full-frequency analysis, they remained confined to convex geometries. To overcome these issues, this study proposed a method that enables stable extraction of all eigenvalues, including lower-order eigenvalues, across the full frequency range for both convex and concave cavities, regardless of node count. The validity of the method was demonstrated by analyzing a rectangular cavity with exact analytical solutions, confirming its accuracy and robustness. A series of example studies on various concave acoustic cavities are presented in Part 2 to further verify the effectiveness of the proposed theory.

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기사명 저자명 페이지 원문 목차
플라스틱 소재의 레이더 센서 보호 커버의 초음파 제빙을 위한 구동 조건 연구 = Study of the operating conditions of an ultrasonic de-icing system for plastic cover protecting radar sensors 노은식, 문원규, 신금재 p. 537-544
소음 반응으로서 ‘Annoyance’의 한국어 대응어 분석 = Analysis of Korean equivalents for ‘annoyance’ as noise response 박상희, 김경우, 정정호, 류종관, 김용희, 박현구 p. 545-558
기계학습용(ML) 진동 데이터 생성을 위한 유연 다물체동역학 기반 회전기기의 회전부 강성 이방성 기인 오정렬 결함 시뮬레이션 = Misalignment fault simulation in rotating machinery induced by stiffness anisotropy of rotational components based on flexible multibody dynamics for machine learning-oriented vibration data generation 박상진, 장대식, 이정한, 박진호 p. 559-567
선박용 공기조화 덕트용 헬름홀츠 공명기 기반 메타물질 음향 라이너 설계 = Design of helmhol[t]z resonator-based metamaterial acoustic liners for HVAC ducts of ships 구본헌, 원세정, 강병민, 함일배, 이종학, 김흥태, 임희창, 홍진숙 p. 568-575
오목 형상 음향공동의 전 주파수 대역 고정밀도 고유치 추출을 위한 두 영역 분할법 기반 무차원 동영향 함수법 = Two-domain decomposition-based NDIF method for full-frequency high-precision eigenvalue extraction of concave acoustic cavities. 1, Theoretical formulation and verification. 제1부, 이론 정립과 검증 강상욱 p. 576-582
기계학습 분류 모델 기반 군 소·대형화기 복합사격장 탄종별 소음 평가 방법 연구 = Machine learning-based classification model for noise assessment of ammunition types in combined military firing ranges 류훈재, 전형준, 정태량, 김득성, 장서일 p. 583-591

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