[논문]유목의 유입규모와 군집특성을 고려하는 2차원 수치모의 실험

강태운; 장창래

doi:10.3741/jkwra.2021.54.6.407

유목의 유입규모와 군집특성을 고려하는 2차원 수치모의 실험
Two-dimensional numerical experiment considering cohort size and wood jam characteristic on driftwood 원문보기

Journal of Korea Water Resources Association = 한국수자원학회논문집, v.54 no.6, 2021년, pp.407 - 418

강태운 (한국교통대학교 토목공학과) , 장창래 (한국교통대학교 토목공학과)

초록
AI-Helper

본 연구에서는 유목의 유입량의 특성과 유목줄기의 길이에 따른 하천흐름과 유목거동을 분석하기 위해 2차원 흐름모형인 Nays2DH와 유목동역학모형을 결합하고 이를 활용하여 장애물 근처에서의 유목의 군집특성과 거동을 분석하였다. 또한 유목의 충돌거동을 모의하기 위해 유목동역학모형에 Dashpot-spring 모형을 추가하여 유목의 충돌에 따른 군집특성도 비교하였다. 모의결과 유목줄기의 길이에 따라 장애물구간의 통과율, 유목의 군집이송, 유목들의 평균위치가 민감하게 반응하였고 유목의 유입규모에 대해서는 통과율 이외에는 미미한 반응을 나타냈다. 본 연구를 통해 수공구조물과 유목의 상호작용을 이해할 수 있었으며 이를 통해 유목의 이송과 군집현상 등을 사전에 예측함으로써 수공구조물의 내구성 유지방안 구축에 도움이 될 것으로 사료된다.

Abstract ▼ AI-Helper

In this study, the two-dimensional flow model, Nays2DH, and driftwood dynamics model were combined to analyze the flow and driftwood behavior depending on the characteristics of the inflow of driftwood and the length of the driftwood stem. In particular, the Dashpot-spring model was added to the driftwood dynamics model to simulate the collision motion of the driftwood, and the wood jam characteristics by the collision of the driftwood were compared. As a result of the simulation, the pass rate of the obstacle section, the travel distance of wood jam, and the mean position of the wood pieces were respondent sensitively by the length of the driftwood stem, but the cohort size of the driftwood supply was insignificant excepting for the pass rate. Through this study, we could understand the interaction between hydraulic structures and driftwood, and through this, it is believed that it will be helpful in establishing a durable maintenance plan for hydraulic structures by predicting the transport and jam formation phenomena of driftwood in advance.

주제어

표/그림 (10)

그림 Fig. 1. Bridge collapse and deposition of driftwood around bridge piers (KBS news, 2020).
그림 Fig. 2. Schematic diagram for calculation of driftwood motion
그림 Fig. 3. Computational domain and driftwood modelling (Kang and Kimura, 2018)
표 Table 1. Computational conditions based on Kang and Kimura (2018)
그림 Fig. 4. Simulation results depending on wood length (m) and cohort size (EA)
그림 Fig. 5. Mean pass rate (%) of wood pieces depending on cases (R is L/D; L is length of driftwood (0.1 ~ 0.2 m); D is interval length of obstacles (0.1 m)).
표 Table 2. Scenario of simulation
그림 Fig. 6. Range of pass rate (%) by 10 iterations of Runs 9 and 10
그림 Fig. 7. Time changes in mean travel distance (m) of wood pieces depending on cases (R is L/D; L is length of driftwood (0.1 ~0.2 m); D is interval length of obstacles (0.1 m))
그림 Fig. 8. Final mean wood pieces position (-) of depending on cases (R is L/D; L is length of driftwood (0.1 ~ 0.2 m); D is interval length of obstacles (0.1 m))

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상세보기
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상세보기
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상세보기

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