인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract The persistence of global concerns regarding the environmental effects of cement production, particularly its significant contribution to CO 2 emissions, led to the search for different supplementary cementitious materials (SCMs). Hence, this research utilized date palm ash (DPA) as an SCM to produce concrete. Nano eggshell powder (NESP) was also incorporated as an additive to binder materials in the concrete to hasten the pozzolanic reaction in the concrete. DPA was used to replace between 0 and 40% of the cement by volume, and the NESP was added in dosage between 0 and 4% by weight of binders. Multi-criteria decision making (MCDM) technique was adopted by employing different methods that include MOORA and VIKOR to select the optimal mix proportions containing DPA and NESP. Furthermore, multi-variable non-linear regression (MNLR) analysis was used to develop mathematical models for predicting the concrete’s properties using the proportions of DPA and NESP as the variables. The findings from the MCDM showed that Mix M8 consistently ranked highest across both MOORA and VIKOR analyses, demonstrating superior performance due to optimal incorporation of 40% DPA and 2% NESP. The developed MNLR models attained high accuracy in predicting with good-to-excellent R ² values ranging between 0.79 and 0.94 for most properties.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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