터널과지하공간 (Tunnel and Underground Space)

  • 제32권6호
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  • Pages.386-396
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  • 2022
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  • 1225-1275(pISSN)
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  • 2287-1748(eISSN)
한국암반공학회 (Korean Society for Rock Mechanics and Rock Engineering)
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분산분석을 이용한 로드헤더 절삭시험 입출력 인자 간의 기여도 조사

Contribution Assessment of Roadheader Performance Indexes by Analysis of Variance

  • 투고 : 2022.12.06
  • 심사 : 2022.12.26
  • 발행 : 2022.12.31
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초록

로드헤더에 미치는 변수의 영향력을 분석하기 위해 픽커터 절삭시험 관련 참고문헌들을 조사하였고, 수록된 데이터들을 수집하였다. 입력 인자는 일축압축강도, 절삭 깊이, 절삭 간격, 받음각, 비틀림각, 출력 인자는 비에너지, 절삭력, 수직력으로 결정했다. 입력 인자와 출력 인자로 분류 후 실험계획법을 작성하였고 분산분석을 이용해 변수들에 대한 기여도를 조사하였다. 그 결과, 절삭력과 비에너지에 가장 큰 영향을 미치는 요인은 일축압축강도와 절삭 간격으로 분석되었다.

To analyze the influence of variables of roadheaders, the linear cutting testing data of pick cutter were collected from the former literatures. The input factors were set up as uniaxial compressive strength, cutting depth, cutting spacing, attack angle, skew angle, and output factors were determined as specific energy, average cutting force, maximum cutting force, average vertical force, and maximum vertical force. After composing a table of the design of experiment (DOE). The contribution level of each factor was calculated by analysis of variance (ANOVA). As a result, the factors having greatest influence on cutting force and specific energy were uniaxial compressive strength and cutting spacing.

키워드

과제정보

본 연구는 2022년도 국토교통부(국토교통과학기술진흥원) 국토교통기술촉진연구사업의 '파일럿시험 및 현장데이터 기반 로드헤더 굴진율 수정 예측모델 개발(22CTAP-C164190-02)' 과제를 통해 수행되었습니다.

참고문헌

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