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
Structural calculations are essential for civil engineering, but specialized software for their analysis is limited. The lack of availability of efficient tools has generated the need to explore new ways to optimize these calculations. This work addresses the aforementioned problem, proposing the use of Python and automation technologies to offer an innovative and accessible solution to improve efficiency in the field of structural analysis of 2D frames. This proposal seeks to reduce work times by relying on AI, as well as to promote accessibility in this field. To achieve this purpose, the Python library AnaStruct, specifically designed for structural analysis using matrix methods, is used. This tool enables the detailed definition of structural elements, constraints and loads, as well as the visualization of the analysis results. In addition, the Speech Recognition library is implemented for interaction through voice reception, which speeds up the data entry process and structural analysis commands. Through surveys conducted, it is observed that the program achieved an average reduction of the analysis time between 73.33% and 94.29%, compared to traditional methods. Where 100% of the respondents unanimously confirmed that it improves efficiency, and 78.6% expressed their willingness to recommend it for future projects.
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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