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

논문 기본 정보

자료유형
학술저널
저자정보
양동윤 (한국자원연구소) 이창범 (한국자원연구소)
저널정보
대한자원환경지질학회 자원환경지질 자원환경지질 제30권 제2호
발행연도
1997.1
수록면
175 - 183 (9page)

이용수

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

초록· 키워드

오류제보하기
The concrete structure can be easily damaged due to alkali-aggregates reaction. There are several methods to identify alkali reactivity of aggregates. The most reliable method is mortar-bar test, but it takes 3 to 12 months for whole test. The authors applied "rapid method" which takes only 7 days for this test. The result of this rapid method follows; expansion ratio of mortar bar for natural aggregates taken at the Youngsan River ranges from 0.197 to 0.489%, but that from Changseong Lake has low expansion ratio of 0.147%, which is below the limit of allowance, 0.168%. Those from the Seomjin River range from 0.173 to 0.22%, and those from the Keum River range from 0.078% to 0.111%. In the case of higher expansion ratio than 0.168%, aggregates must be used with cement containing low alkali content or adding material consuming the alkali content of cement, for example, fly ash and silica fume, etc.. Most of natural aggregates in Cheolla area have no problem in physical properties, particularly the abrasion ratio is below 40%, the limit of allowance. The natural aggregate from Cheolla area consists mostly of gneiss, granite and volcanic rocks. The major alkali reactive materials are quartz mineral with undulatory extinction in gneiss and granite, and amorphous silica in volcanic rocks. Even if a certain aggregate consists of the same kind of rocks and has similar rock composition each other, content of alkali reactivity material can be various, because rock formation is locally different according to temperature and pressure. Therefore every rock type must be physically and chemically identified before using for aggregates.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0