메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
강승군 (경북대학교) 최민우 (경북대학교) 최열 (경북대학교) 강상구 (경북대학교)
저널정보
대한건축학회 대한건축학회논문집 大韓建築學會論文集 第40卷 第9號(通卷 第431號)
발행연도
2024.9
수록면
193 - 200 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The purpose of this study is to evaluate the homogeneity of concrete based on its microstructure by measuring random scattering waves and calculating a heterogeneity index for analysis. Concrete exposed to high temperatures was used as a factor degrading the internal homogeneity of concrete, and experiments were conducted on both standard concrete and various types of fiber-reinforced concrete to verify the applicability of the process used to quantify heterogeneity. The method used to analyze internal homogeneity involves calculating a heterogeneity index based on the peak amplitude differences of the random scattering waves. The experiment was conducted on test specimens consisting of standard concrete and nine mixes with four types of fibers (Carbon, Jute, Glass, Steel) mixed at 0.5% and 1% respectively. The exposure temperatures were set at 200°C, 500°C, and 800°C to analyze the changes in homogeneity due to temperature exposure and fiber reinforcement through experimental research. The results indicate that the changes in homogeneity due to fiber reinforcement, as calculated by the algorithm used in this study, were not sensitive, and no clear relationship between homogeneity and strength was observed. While no clear relationship between homogeneity and strength was observed up to 500°C, a significant relationship was noted at 800°C. This suggests that while the algorithm used in this study has difficulty detecting microstructural changes occurring at exposure temperatures up to 500°C, it can detect changes at 800°C.

목차

Abstract
1. 서론
2. 균질도 분석법
3. 실험계획
4. 실험결과 분석
5. 결론
REFERENCES

참고문헌 (23)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0