• Wind and Structures
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• 제27권1호
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• pp.11-27
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• 2018

The straight-cone steel cooling tower is a novel type of structure, which has a distinct aerodynamic distribution on the internal surface of the tower cylinder compared with conventional hyperbolic concrete cooling towers. Especially in the extreme weather conditions of strong wind and heavy rain, heavy rain also has a direct impact on aerodynamic force on the internal surface and changes the turbulence effect of pulsating wind, but existing studies mainly focus on the impact effect brought by wind-driven rain to structure surface. In addition, for the indirect air cooled cooling tower, different additional ventilation rate of shutters produces a considerable interference to air movement inside the tower and also to the action mechanism of loads. To solve the problem, a straight-cone steel cooling towerstanding 189 m high and currently being constructed is taken as the research object in this study. The algorithm for two-way coupling between wind and rain is adopted. Simulation of wind field and raindrops is performed with continuous phase and discrete phase models, respectively, under the general principles of computational fluid dynamics (CFD). Firstly, the rule of influence of 9 combinations of wind sped and rainfall intensity on flow field mechanism, the volume of wind-driven rain, additional action force of raindrops and equivalent internal pressure coefficient of the tower cylinder is analyzed. On this basis, the internal pressures of the cooling tower under the most unfavorable working condition are compared between four ventilation rates of shutters (0%, 15%, 30% and 100%). The results show that the 3D effect of equivalent internal pressure coefficient is the most significant when considering two-way coupling between wind and rain. Additional load imposed by raindrops on the internal surface of the tower accounts for an extremely small proportion of total wind load, the maximum being only 0.245%. This occurs under the combination of 20 m/s wind velocity and 200 mm/h rainfall intensity. Ventilation rate of shutters not only changes the air movement inside the tower, but also affects the accumulated amount and distribution of raindrops on the internal surface.

• 해양환경안전학회지
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• 제29권6호
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• pp.688-696
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• 2023

본 연구에서는 어선의 운동성능을 향상하기 위해 부착되는 부가물의 조합과 파라미터 변경에 따른 어선의 자유 횡 동요 감쇠와 저항 성능을 평가하였다. 성능 평가를 위해 전산유체역학(Computational Fluid Dynamics)을 이용한 수치해석을 수행하였으며, 주요 부가물인 빌지킬과 선저킬의 조합과 치수 변경에 따른 횡 동요 주기와 감쇠 계수의 변화를 확인하였다. 선저킬의 경우 길이가 변화함에 따른 횡 동요 감쇠 계수의 변화가 상대적으로 크지 않음을 확인하였다. 반면 빌지킬의 경우 길이와 각도의 증가에 따라서 횡 동요 감쇠 계수가 증가함을 확인하였다. 4가지 부가물 조합 조건과 나선의 저항 성능을 비교하였으며, 부가물에 의한 어선의 자세와 압력분포의 변화로 인해 저항이 증가함을 확인하였다. 본 연구 결과를 통해 부가물 크기와 배치가 어선의 운동 및 저항 성능에 미치는 영향을 확인할 수 있었으며, 어선 적용 시에 도움이 될 수 있을 것으로 기대한다.

• 대한환경공학회지
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• 제36권10호
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• pp.691-697
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• 2014

도시 하천의 지속가능한 관리를 위해서는 적절한 유역 관리가 필수적이다. 현재 대전 관평천의 상류 유역은 그린벨트지역으로 보호되어 있으나 해당 유역의 농경활동이나 도로공사 등 인위적인 요인으로 인해 관평천은 지속적인 환경문제를 나타내고 있다. 관평천의 적절한 종합 수자원 관리 계획을 수립하기 위해서는 하천의 수질문제 뿐만 아니라 유량 문제도 의미있게 고려되는 것이 바람직하다. 본 연구에서는 관평천 유역에 대해 대표적인 도시형 강우 유출 모형인 storm water management model (SWMM)을 구축하고 실측자료를 활용하여 보정 및 검증을 실시하고 향후 임의의 강우 조건에 대해 하천 주요지점의 유량 및 수질을 예측할 수 있도록 하였다. 유량 보정은 상관계수($R^2$)가 0.9 이상의 양호한 수준으로 수행되었으나 수질 보정은 상대적으로 오차가 큰($0.67{\leq}R^2{\leq}0.87$) 것으로 나타났다. SWMM 모델을 이용하여 상류 유역이 개발되었을 경우 환경에 영향을 적게 미치는 LID (low impact development) 기법을 적용하는 가상의 시나리오를 구성하여 비교할 수 있는 방법을 구축하였다. 본 연구결과는 향후 관평천 상류지역을 개발하거나 환경관련 관리 계획을 수립할 경우, LID기법을 포함한 합리적인 수자원 기법 선택에 많은 도움을 제공할 수 있을 것으로 기대된다.

• 터널과지하공간
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• 제27권2호
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• pp.89-99
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• 2017

이산화탄소 지중저장 사업의 성공적인 수행을 위해서는 저장시스템의 안정성을 확보할 수 있는 대상 지층을 선정하고 현장 지질조건에 최적화된 주입 조건을 설계해야 한다. 본 연구에서는 국내 실증실험 대상 예상후보지의 하나인 장기분지의 지질구조를 바탕으로 2차원 간략해석모델을 구축하고 TOUGH-FLAC 연계해석기법을 사용하여 초기응력조건과 주입량이 이산화탄소 격리저장시스템에 미치는 영향을 분석하였다. 기초해석 결과, 수직응력이 수평응력보다 우세한 정단층 응력조건에서 전단미끄러짐 가능성이 가장 높은 결과를 보였으며, 단위시간당 주입량을 달리하는 주입량 시나리오 해석에서는 주입량을 단계적으로 증가시켜 주입하는 경우가 공극압의 증가폭이 가장 크고 활동마찰계수를 이용한 전단미끄러짐 가능성 평가 결과에서도 가장 불리한 것으로 평가되었다.

• Geomechanics and Engineering
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• 제20권3호
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• pp.191-205
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• 2020

Soil shear strength parameters play a remarkable role in designing geotechnical structures such as retaining wall and dam. This study puts an effort to propose two accurate and practical predictive models of soil shear strength parameters via hybrid artificial neural network (ANN)-based models namely genetic algorithm (GA)-ANN and particle swarm optimization (PSO)-ANN. To reach the aim of this study, a series of consolidated undrained Triaxial tests were conducted to survey inherent strength increase due to addition of polypropylene fibers to sandy soil. Fiber material with different lengths and percentages were considered to be mixed with sandy soil to evaluate cohesion (as one of shear strength parameter) values. The obtained results from laboratory tests showed that fiber percentage, fiber length, deviator stress and pore water pressure have a significant impact on cohesion values and due to that, these parameters were selected as model inputs. Many GA-ANN and PSO-ANN models were constructed based on the most effective parameters of these models. Based on the simulation results and the computed indices' values, it is observed that the developed GA-ANN model with training and testing coefficient of determination values of 0.957 and 0.950, respectively, performs better than the proposed PSO-ANN model giving coefficient of determination values of 0.938 and 0.943 for training and testing sets, respectively. Therefore, GA-ANN can provide a new applicable model to effectively predict cohesion of fiber-reinforced sandy soil.

• Journal of Advanced Research in Ocean Engineering
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• 제3권1호
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• pp.1-14
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• 2017

The safety analysis of an earthquake is carried out during the operation of a subsea pipeline and an onshore pipeline. Several cases are proposed for consideration. In the case of a buried pipeline, permanent ground deformation by the earthquake and an increase of internal pressure by the acceleration of the earthquake should be considered. In the case of a subsea pipeline, a bending moment is caused by liquefaction of the backfill material on a trenched seabed, etc., which results in a high bending moment of the buried pipeline. The bending moment causes the collapse of the subsea pipeline or a leak of crude oil or gas, which results in economic loss due to enormous environmental contamination and social economic loss owing to operation functional failure. Thus, in order to prevent economic loss and operation loss, structurally sensitive design with regard to seismic characteristics must be performed in the buried pipeline in advance, and the negative impact on the buried pipeline must be minimized by conducting a thorough analysis on the seabed and backfilling material selection. Moreover, it is proposed to consider the selection of material properties for the buried pipeline. A more economical review is also required for detailed study.

• 한국기계가공학회지
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• 제9권3호
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• pp.56-61
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• 2010

Recently, UV pulse laser is widely used in micro machining of the research, development and industry field of IT, NT and BT products because the laser short wavelength provides not only micro drilling, micro cutting and micro grooving which has a very fine line width, but also high absorption coefficient which allows a lot of type of materials to be machined more easily. To analyze the dynamic deformation during a very short processing time, which is nearly about several tens nanoseconds, the commercial Finite Element Analysis (FEA) code, LS-DYNA 3D, was employed for the computitional simulation of the UV laser micro machining behavior for thin copper material in this paper. A finite element model considering high strain rate effect is especially suggested to investigate the micro phenomena which are only dominated by mechanically pressure impact in disregard of thermally heat transfer. From these computational results, some of dynamic deformation behaviors such as dent deformation shapes, strains and stresses distributions were observed and compared with previous experimental works. These will help us to understand micro interaction between UV laser beam and material.

• 한국분말재료학회지
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• 제26권5호
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• pp.369-374
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• 2019

The properties of powder metallurgy products are related to their densities. In the present work, we demonstrate a method to apply artificial neural networks (ANNs) trained on experimental data to predict the bulk density of barium titanates. The density is modeled as a function of pressure, press rate, heating rate, sintering temperature, and soaking time using the ANN method. The model predictions with the training and testing data result in a high coefficient of correlation (R2 = 0.95 and Pearson's r = 0.97) and low average error. Moreover, a graphical user interface for the model is developed on the basis of the transformed weights of the optimally trained model. It facilitates the prediction of an infinite combination of process parameters with reasonable accuracy. Sensitivity analysis performed on the ANN model aids the identification of the impact of process parameters on the density of barium titanates.

• Geomechanics and Engineering
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• 제37권3호
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• pp.197-211
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• 2024

This research studies the effect of geotechnical factors on EPB-TBM performance parameters. The modeling was performed using simple and multivariate linear regression methods, artificial neural networks (ANNs), and Sugeno fuzzy logic (SFL) algorithm. In ANN, 80% of the data were randomly allocated to training and 20% to network testing. Meanwhile, in the SFL algorithm, 75% of the data were used for training and 25% for testing. The coefficient of determination (R²) obtained between the observed and estimated values in this model for the thrust force and cutterhead torque was 0.19 and 0.52, respectively. The results showed that the SFL outperformed the other models in predicting the target parameters. In this method, the R² obtained between observed and predicted values for thrust force and cutterhead torque is 0.73 and 0.63, respectively. The sensitivity analysis results show that the internal friction angle (φ) and standard penetration number (SPT) have the greatest impact on thrust force. Also, earth pressure and overburden thickness have the highest effect on cutterhead torque.

• Wind and Structures
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• 제29권4호
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• pp.247-270
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• 2019

Wind-resistant design of existing cooling tower structures overlooks the impacts of rainfall. However, rainstorm will influence aerodynamic force on the tower surface directly. Under this circumstance, the structural response of the super-large cooling tower (SLCT) will become more complicated, and then the stability and safety of SLCT will receive significant impact. In this paper, surrounding wind fields of the world highest (210 m) cooling tower in Northwest China underthree typical wind velocities were simulated based on the wind-rain two-way coupling algorithm. Next, wind-rain coupling synchronous iteration calculations were conducted under 9 different wind speed-rainfall intensity combinations by adding the discrete phase model (DPM). On this basis, the influencing laws of different wind speed-rainfall intensity combinations on wind-driving rain, adhesive force of rain drops and rain pressure coefficients were discussed. The acting mechanisms of speed line, turbulence energy strength as well as running speed and trajectory of rain drops on structural surface in the wind-rain coupling field were disclosed. Moreover, the fitting formula of wind-rain coupling equivalent pressure coefficient of the cooling tower was proposed. A systematic contrast analysis on its 3D distribution pattern was carried out. Finally, coupling model of SLCT under different working conditions was constructed by combining the finite element method. Structural response, buckling stability and local stability of SLCT under different wind velocities and wind speed-rainfall intensity combinations were compared and analyzed. Major research conclusions can provide references to determine loads of similar SLCT accurately under extremely complicated working conditions.