• 제목/요약/키워드: wave load

검색결과 805건 처리시간 0.026초

블록식 방파제의 수평저항력 평가를 위한 실내모형실험 II : 보강형 싱글블럭의 반복수평 하중에 대한 저항 (Small Scale Modelling Experiments for Evaluating Lateral Resistance of Block-Type Breakwater II: A Single Block Reinforced with Piles under Cyclic Lateral Loads)

  • 강기천;김지성
    • 한국지반신소재학회논문집
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    • 제20권4호
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    • pp.105-112
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    • 2021
  • 항만구조물의 경우 정적인 하중 뿐만 아니라 파압과 같이 반복적인 하중을 받는 구조물임에 따라 반복적인 하중을 받는 구조물의 특성을 파악하는 것이 중요하다. 따라서 본 연구는 반복 수평하중에 의한 말뚝으로 보강된 블록식 방파제의 거동특성을 실내모형실험을 통해 구하였다. 말뚝의 근입 깊이가 깊어질수록 수평저항력이 증가하는 경향이 나타났으며, 하중이 반복될수록 수평저항력의 기울기는 점차 완만하게 나타났다. 휨모멘트는 후열말뚝이 전열말뚝보다 크게 나타났다. 지반내에서의 말뚝의 휨모멘트는 Broms(1964)의 사질토지반에서 말뚝두부 자유일 때와 유사하게 나타났다.

변형각의 측정 위치에 따른 6인치 탄소강관엘보의 파괴 기준 (Failure Criteria of a 6-Inch Carbon Steel Pipe Elbow According to Deformation Angle Measurement Positions)

  • 윤다운;전법규;장성진;박동욱;김성완
    • 한국지진공학회논문집
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    • 제26권1호
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    • pp.13-22
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    • 2022
  • This study proposes a low-cycle fatigue life derived from measurement points on pipe elbows, which are components that are vulnerable to seismic load in the interface piping systems of nuclear power plants that use seismic isolation systems. In order to quantitatively define limit states regarding leakage, i.e., actual failure caused by low-cycle fatigue, in-plane cyclic loading tests were performed using a sine wave of constant amplitude. The test specimens consisted of SCH40 6-inch carbon steel pipe elbows and straight pipes, and an image processing method was used to measure the nonlinear behavior of the test specimens. The leakage lines caused by low-cycle fatigue and the low-cycle fatigue curves were compared and analyzed using the relationship between the relative deformation angles, which were measured based on each of the measurement points on the straight pipe, and the moment, which was measured at the center of the pipe elbow. Damage indices based on the combination of ductility and dissipation energy at each measurement point were used to quantitatively express the time at which leakage occurs due to through-wall cracking in the pipe elbow.

A novel coupled finite element method for hydroelastic analysis of FG-CNTRC floating plates under moving loads

  • Nguyen, Vu X.;Lieu, Qui X.;Le, Tuan A.;Nguyen, Thao D.;Suzuki, Takayuki;Luong, Van Hai
    • Steel and Composite Structures
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    • 제42권2호
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    • pp.243-256
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    • 2022
  • A coupled finite element method (FEM)-boundary element method (BEM) for analyzing the hydroelastic response of functionally graded carbon nanotube-reinforced composite (FG-CNTRC) floating plates under moving loads is firstly introduced in this article. For that aim, the plate displacement field is described utilizing a generalized shear deformation theory (GSDT)-based FEM, meanwhile the linear water-wave theory (LWWT)-relied BEM is employed for the fluid hydrodynamic modeling. Both computational domains of the plate and fluid are coincidentally discretized into 4-node Hermite elements. Accordingly, the C1-continuous plate element model can be simply captured owing to the inherent feature of third-order Hermite polynomials. In addition, this model is also completely free from shear correction factors, although the shear deformation effects are still taken into account. While the fluid BEM can easily handle the free surface with a lower computational effort due to its boundary integral performance. Material properties through the plate thickness follow four specific CNT distributions. Outcomes gained by the present FEM-BEM are compared with those of previously released papers including analytical solutions and experimental data to validate its reliability. In addition, the influences of CNT volume fraction, different CNT configurations, water depth, and load speed on the hydroelastic behavior of FG-CNTRC plates are also examined.

1g 진동대시험에서 사면의 위치에 따른 경계조건 영향평가 (Effects of Slope Location on the Boundary Condition in the 1g Shaking Table Test)

  • 정수근;김용;김대현
    • 지질공학
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    • 제32권4호
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    • pp.535-545
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    • 2022
  • 내진설계에서 지반의 안정성을 향상시키기 위해서는 지진하중을 받는 지반의 동적거동을 이해하는 것이 필수적이다. 따라서 지반의 동적거동을 이해하는데 진동대 시험은 중요한 실험 중 하나이다. 이러한 진동대 시험에서 가장 중요한 인자 중 하나인 경계조건에 대한 영향성을 확인하고자 하였다. 본 연구의 목적은 지진하중에 의한 모형사면의 위치별 경계조건의 영향성을 확인하고자 한다. 연성토조(laminar shear box, LSB)안에 모형사면을 제작하여 위치에 따라 경계조건의 영향을 확인하였다. 토조 벽면으로부터 100, 50, 25 cm 지점에 각각의 모형사면을 조성하여 동일한 크기의 정현파 지진하중을 입력하였다. 그 결과, 모형사면에 대한 진동대 실험 시 25 cm 지점에 위치한 경우는 경계조건의 영향을 크게 받아 가속도가 증폭하는 모습을 확인할 수 있었으며 50~100 cm 지점에 위치한 경우 경계조건의 영향이 감소하여 적합한 위치로 판단되었다.

Dynamic behavior of submerged floating tunnels at the shore connection considering the use of flexible joints

  • Seok-Jun Kang;Minhyeong Lee;Jun-Beom An;Dong-Hyuk Lee;Gye-Chun Cho
    • Geomechanics and Engineering
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    • 제33권1호
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    • pp.101-112
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    • 2023
  • When a submerged floating tunnel is connected to the ground, there is a risk of stress concentration at the shore connection owing to the displacement imbalance caused by low confinement pressures in water and high confinement pressures in the ground. Here, the effects of the boundary condition and stiffness of the joints installed at the shore connection on the behaviors of a submerged floating tunnel and its shore connection were analyzed using a numerical method. The analysis results obtained with fixed and ground boundaries were similar due to the high stiffness of the ground boundary. However, the stability of the shore connection was found to be improved with the ground boundary as a small displacement was allowed at the boundary. The effect of the joint stiffness was evaluated by investigating the dynamic behavior of the submerged floating tunnel, the magnitude of the load acting on the bored tunnel, and the stress distribution at the shore connection. A lower joint stiffness was found to correspond to more effective relief of the stress concentration at the shore connection. However, it was confirmed that joints with low stiffness also increase the submerged floating tunnel displacement and decrease the frequency of the dynamic behavior, causing a risk of increased resonance when wave loads with low frequency are applied. Therefore, it is necessary to derive the optimal joint stiffness that can achieve both stress concentration relief and resonance prevention during the design of shore connections to secure their dynamic stability.

Predicting rock brittleness indices from simple laboratory test results using some machine learning methods

  • Davood Fereidooni;Zohre Karimi
    • Geomechanics and Engineering
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    • 제34권6호
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    • pp.697-726
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    • 2023
  • Brittleness as an important property of rock plays a crucial role both in the failure process of intact rock and rock mass response to excavation in engineering geological and geotechnical projects. Generally, rock brittleness indices are calculated from the mechanical properties of rocks such as uniaxial compressive strength, tensile strength and modulus of elasticity. These properties are generally determined from complicated, expensive and time-consuming tests in laboratory. For this reason, in the present research, an attempt has been made to predict the rock brittleness indices from simple, inexpensive, and quick laboratory test results namely dry unit weight, porosity, slake-durability index, P-wave velocity, Schmidt rebound hardness, and point load strength index using multiple linear regression, exponential regression, support vector machine (SVM) with various kernels, generating fuzzy inference system, and regression tree ensemble (RTE) with boosting framework. So, this could be considered as an innovation for the present research. For this purpose, the number of 39 rock samples including five igneous, twenty-six sedimentary, and eight metamorphic were collected from different regions of Iran. Mineralogical, physical and mechanical properties as well as five well known rock brittleness indices (i.e., B1, B2, B3, B4, and B5) were measured for the selected rock samples before application of the above-mentioned machine learning techniques. The performance of the developed models was evaluated based on several statistical metrics such as mean square error, relative absolute error, root relative absolute error, determination coefficients, variance account for, mean absolute percentage error and standard deviation of the error. The comparison of the obtained results revealed that among the studied methods, SVM is the most suitable one for predicting B1, B2 and B5, while RTE predicts B3 and B4 better than other methods.

AE에 의한 WA계 비트리파이드 및 레지노이드 결합제 연삭숫돌의 결합도 평가 (Evaluation of Grade of WA-Vitrified and Resinoid Bond Grinding Wheels by Acoustic Emission)

  • 정인근;임영호;권동호
    • 한국정밀공학회지
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    • 제12권9호
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    • pp.74-85
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    • 1995
  • The purpose of this paper is to evaluate the grade of WA vitrified and resinoid bond grinding wheels by the sue of AE measuring system. When the manufactured 48 kinds of specimens were scratched by the method of OKOSHI'S grade test, the relationship between the amount of bit scratch depth of grinding wheel specimens and the character- istics of AE signals, and the relationship of AE counts and grade were considered as fololws; (1) The higher the grades are AE cumlulative event counts N and AE event count rate n, the smaller the values tend to be. But A $E_{rms}$is in reverse. (2) In the case of same grade, the smaller the grain size is, the higher the value of AE cumulative event counts N and A $E_{rms}$is results of comparison and observation. The grinding wheel with lower elasticity and with higher percentage of pore detected higher value of AE cumula- tive event counts N than with higher elasticity and lower percentage of pore. But A $E_{rms}$ is in reverse. (3) AE cumulative event counts N and bit scratch depth h have normally one to one correspondence. (4) It can be expected that quantitative evaluations of grade by using AE have been carried out by the wave observation of AE signal in line with the relationship between load speed of bit and AE cumulative event counts N & AE event count rate n.' AE event count rate n.ate n.

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응답변위법을 적용한 수직구의 내진설계 (Seismic Design of Vertical Shaft using Response Displacement Method)

  • 김용민;정상섬;이용희;장정범
    • 대한토목학회논문집
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    • 제30권6C호
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    • pp.241-253
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    • 2010
  • 본 연구에서는 응답변위법을 수직구 내진설계에 적용하고 구조물의 응답을 정확하게 구할 수 있는 방법을 제시하고자 기반면, 지반의 상대변위 산정 방법, 하중 산정 및 적용 방법에 따른 3차원 유한요소해석을 수행하였다. 그 결과, 수직구 내진설계를 위한 기반면은 전단파속도가 1500m/s를 초과하는 지반을 선정하는 것이 가장 적합하며, 지반변위 산정 방법은 다층지반의 특성을 반영할 수 있는 double cosine이 가장 적합하다. 또한 응답변위법 해석을 위한 동토압 및 주면전단력 산정 시 구조물의 단면형상효과를 고려하는 것이 실제 수직구의 동적거동을 적절히 반영하며 경제적인 설계를 할 수 있음을 알 수 있었다.

Analysis and study of Deep Reinforcement Learning based Resource Allocation for Renewable Powered 5G Ultra-Dense Networks

  • Hamza Ali Alshawabkeh
    • International Journal of Computer Science & Network Security
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    • 제24권1호
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    • pp.226-234
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    • 2024
  • The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.

아연(Zn)희생양극 등가전위에서 부식피로균열 진전특성에 관한 연구 (Evaluation of Corrosion Fatigue Crack Propagation Characteristics at Equivalent Potential of Zinc Sacrificial Anode)

  • 김원범
    • 문화기술의 융합
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    • 제10권1호
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    • pp.363-368
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    • 2024
  • 선박, 해양구조물 또는 해상풍력 발전설비 하부구조와 같이 해양환경에서 사용되는 강구조물은 부식이 쉽게 발생한다. 본 연구에서는 실험을 통하여 희생전극으로 많이 사용되는 아연전극의 방식전위와 동등한 -1050mV vs. SCE에서 환경하중에 기인하는 부식피로균열 진전특성에 대하여 고찰하였다. 이를 위하여 본 연구에서는 -1050mV vs. SCE의 음극방식이 해수환경중의 피로균열 진전에 미치는 영향에 대해 합성해수중에서 파랑주기를 고려하여 실험적 고찰을 실시하였다. 음극방식에 의한 방식법은 부식을 차단하지만 과도한 방식은 화학반응에 의하여 수소를 발생시키며, 또한 석회질퇴적물을 발생시킨다. 피로균열진전율은 실험초기에는 해수부식환경하에서의 진전율보다 빠른구간이 나타났다. 그리고 균열길이가 증가하여 응력확대계수 K가 커질수록 균열의 진전율은 해수중의 피로균열진전율보다 느려지는 현상이 나타났다. 그러나 대기중의 균열진전속도보다는 항상 빠른 진전속도를 나타내었다.