• 제목/요약/키워드: Fuzzy Approximate Reasoning Concept

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암반사면의 안정성 평가 및 적용에 관한 연구 (A Study on the Stability Assessment and Application of Rock Slope)

  • 안종필;박주원;오수동
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 1999년도 가을 학술발표회 논문집
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    • pp.177-184
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    • 1999
  • In general tile evaluation process of rock slope stability is an ambiguous system which is made up of ideas subjected to practical experience of an expert. This paper aims to propose more effective methods that helps engineers to evaluate the stability of rock slope by using RMR(Rock Mass Rating for the Geomechanics Classification) and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept. the result of this paper is that a rational evaluation of rock slope stability and countermeasures can be achieved thorough RMR. and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept.

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퍼지근사추론법에 의한 암반사면의 안정해석 (Analysis of Rock Slope Stability Based on Fuzzy Approximate Reasoning)

  • 기완서;김삼석;주승완
    • 지질공학
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    • 제11권2호
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    • pp.153-161
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    • 2001
  • 암반사면의 안정성 평가에 있어서 경험적 평가에 중점을 둔 RMR분류법과 여러 가지 변수들을 이용한 평가방법인 평사투영·한계평형·유한차분·개별요소해석을 실시하였다. 그리고 여러 가지 암반사면의 안정성에 영향을 미치는 변수들의 불확실성을 고려할 수 있는 점추정법에 의한 신뢰성해석과 더불어 퍼지언어를 이용한 퍼지근사추론법의 구조화에 따른 평가방법을 비교·분석 하였다. 그 결과 점추정법의 신뢰성해석을 전 구간의 안정성을 평가 할 수 있으며 퍼지근사추론법에 의한 안정성평가는 다른 기존의 안정성해석 결과와 전반적으로 일치함을 알 수 있다. 이와 같이 RMR분류·평사투영·한계평형·유한차분·개별요소해석과 점추정법의 신뢰성해석, 퍼지근사추론법을 병행하면 암반사면의 특수성을 체계적이고 종합적으로 평가할 수 있다.

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암반분류에서 RMR과 Q System의 상관성 분석 (A Study on Relationship Between RMR and Q System in Rock Mass Classification)

  • 안종필;박주원;박상도
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2000년도 가을 학술발표회 논문집
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    • pp.737-744
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    • 2000
  • This paper resorts to rock mass rating and rock mass quality to draw value based on the evaluation of rock and to draw interrelation formula in relation to rock mass quality, A comparative analysis was given of survey values reported in the existing documents. This paper has tried to find out the relationship between RMR and Q System for the sake of choosing rational reinforcing patterns and of the safety of tunnels. The results run as follow: RMR=8.251n(Q)+43.83. This paper has also tried to find out the relationship between RMR and Q System by using Fuzzy Approximate Reasoning Concept. We suggest that those in charge should not depend on a single system only after evaluating the classification of rocks, and compare one result with another for the good of keeping track of the condition of base rocks in a better way.

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건설공사의 위험도 분석평가 및 모델개발 (Development of a Risk Analysis Assessment Models for the Construction Projects)

  • 이정식
    • 한국구조물진단유지관리공학회 논문집
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    • 제3권2호
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    • pp.233-240
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    • 1999
  • Even though the recent construction safety disasters not only result in the loss inside construction sites but also become to a large public disasters, safety activities are managed in an irrational way and safety rules are ignored in the construction sites which leads to occur same type of disasters repeatedly. In this paper, a fuzzy set theoretic approach to risk analysis is proposed as an alternative to the techniques currently used in the general construction projects safety. Then the concept of risk evaluation using linguistic representation of the likelihood, exposure and consequences is introduced. A risk assessment model using approximate reasoning technique base on fuzzy logic is presented to drive fuzzy values of risk and numerical example for risk analysis is also presented to illustrate the results.

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퍼지 집합론을 이용한 위험분석 시스템 (Risk Analysis System in Fuzzy Set Theory)

  • 홍상우
    • 산업경영시스템학회지
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    • 제13권21호
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    • pp.29-41
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    • 1990
  • An assessment of risk in industrial and urban environments is essential in the prevention of accident and in the analysis of situations which are hazardous to public health and safety. The risk imposed by a particular hazard increases with the likelihood of occurence of the event, the exposure and the possible consequence of that event. In a traditional approach, the calculation of a quantitative value of risk is usually based on an assignment of numerical values of each of the risk factors. Then the product of the values of likelihood, exposure and consequences called risk score is derived. However vagueness and imprecision in mathematical quantification of risk are equated with fuzziness rather than randomness. In this paper, a fuzzy set theoretic approach to risk analysis is proposed as an alternative to the techniques currently used in the area of systems safety. Then the concept of risk evaluation using linguistic representation of the likelihood, exposure and consequences is introduced. A risk assessment model using approximate reasoning technique based on fuzzy logic is presented to drive fuzzy values of risk and numerical example for risk analysis is also presented to illustrate the results.

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