• 소음진동
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• 제6권5호
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• pp.607-616
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• 1996

A combined computational fluid dynamics(CFD)-Kirchhoff method is presented for predicting high-speed impulsive noise generated by a hovering blade. Two types of Kirchhoff integral formula are used; one for the classical linear Kirchhoff formulation and the other for the nonlinear Kirchhoff formulation. An Euler finite difference solver is solved first to obtain the flow field close to the blade, and then this flow field is used as an input to a Kirchhoff formulation to predict the acoustic far-field. These formulas are used at Mach numbers of 0.90 and 0.95 to investigate the effectiveness of the linear and nonlinear Kirchhoff formulas for delocalized flow. During these calculiations, the retarded time equation is also carefully examined, in particular, for the cases of the control surface located outside of the sonic cylinder, where multiple roots are obtained. Predicted results of acoustic far-field pressure with the linear Kirchhoff formulation agree well with experimental data when the control surface is at the certain location(R=1.46), but the correlation is getting worse before or after this specific location of the control surface due to the delocalized nonlinear aerodynamic flow field. Calculations based on the nonlinear Kirchhoff equation using a linear sonic cylinder as a control surface show a reasonable agreement with experimental data in negative amplitudes for both tip Mach numbers of 0.90 and 0.95, except some computational integration problems over a shock. This concliudes that a nonlinear formulation is necessary if the control surface is close to the blade and the flow is delocalized.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.718-733
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• 2021

A prediction method, based on the Morison equation as well as Froude-Krylov formula, is presented to simulate the loads acting on the columns and caissons of the semi-submersible platform induced by Internal Solitary Wave (ISW) respectively. Combined with the experimental results, empirical formulas of the drag and inertia coefficients in Morison equation can be determined as a function of the Keulegan-Carpenter (KC) number, Reynolds number (Re) and upper layer depth h₁/h respectively. The experimental and calculated results are compared. And a good agreement is observed, which proves that the present prediction method can be used for analyzing the ISW-forces on the semi-submersible platform. Moreover, the results also demonstrate the layer thickness ratio has a significant effect upon the maximum horizontal forces on the columns and caissons, but both minimum horizontal and vertical forces are scarcely affected. In addition, the incoming wave directions may also contribute greatly to the values of horizontal forces exerted on the caissons, which can be ignored in the vertical force analysis.

• 대한조선학회논문집
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• 제39권1호
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• pp.90-99
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• 2002

선체에 존재하는 균열의 전파거동을 해석하기 위해서는 응력강도계수의 추정이 그 전제조건이 되지만 현재까지 이러한 복잡 구조물에서 응력강도계수를 간편하게 계산하는 방법이 확립되어 있지 못하다는 점이 가장 큰 걸림돌이 되고 있다. 본 연구에서는 선체와 같이 부정정도가 매우 큰 복잡 구조물에서의 균열전파 거동을 추정하기 위한 전 단계로서 다양한 형태의 균열에 대한 응력강도계수를 용이하게 계산하기 위하여 무균열 상태에서의 응력해석 결과에 기초한 응력강도계수의 간이 추정법을 유도하고, 다른 연구자들의 실험 및 해석 결과와 비교하여 제안된 방법의 유용성을 검증하였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2003년도 봄 학술발표회 논문집
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• pp.918-923
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• 2003

Reinforced concrete deep beams are commonly used in many structural applications, including transfer girders, pile caps, foundation walls, and offshore structures. The existing design methods were developed and calibrated using normal strength concrete test results, and their applicability th HSC deep beams must be assessed. For the shear strength prediction of high-strength concrete(HSC) deep beams, this paper proposed Softened Strut-and-Tie Model(SSTM) considered HSC and bending moment effect. The shear strength predictions of the refined model, the formulas the ACI 318-02 Appendix A STM, and Eq. of ACI 318-99 11.8 are compared with the collected experimental data of 74 HSC deep beams with compressive strength in the range of 49-78MPa . It is shown the shear strength of deep beam calculated by those equations are conservative on comparing test results. The comparison shows that the performance of the proposed SSTM is better than the ACI Code approach for all the parameters under comparison. The parameters reviewed include concrete strength, the shear span-depth ratio, and the ratio of horizontal and vertical reinforcement. The proposed SSTM gave a mean predicted to experimental ratio of 0.99, 32 percent higher than ACI 318-02 Code, however with the low coefficient variation.

• Wind and Structures
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• 제17권3호
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• pp.275-298
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• 2013

This paper presents a number of approximated analytical formulations for the flutter analysis of long-span bridges using the so-called uncoupled flutter derivatives. The formulae have been developed from the simplified framework of a bimodal coupled flutter problem. As a result, the proposed method represents an extension of Selberg's empirical formula to generic bridge sections, which may be prone to one of the aeroelastic instability such as coupled-mode or single-mode (either dominated by torsion or heaving mode) flutter. Two approximated expressions for the flutter derivatives are required so that only the experimental flutter derivatives of ($H_1^*$, $A_2^*$) are measured to calculate the onset flutter. Based on asymptotic expansions of the flutter derivatives, a further simplified formula was derived to predict the critical wind speed of the cross section, which is prone to the coupled-mode flutter at large reduced wind speeds. The numerical results produced by the proposed formulas have been compared with results obtained by complex eigenvalue analysis and available approximated methods show that they seem to give satisfactory results for a wide range of study cases. Thus, these formulas can be used in the assessment of bridge flutter performance at the preliminary design stage.

• Structural Engineering and Mechanics
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• 제45권6호
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• pp.837-851
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• 2013

In construction industry, strength is a primary criterion in selecting a concrete for a particular application. The concrete used for construction gains strength over a long period of time after pouring the concrete. The characteristic strength of concrete is defined as the compressive strength of a sample that has been aged for 28 days. Neither waiting for 28 days for such a test would serve the rapidity of construction, nor would neglecting it serve the quality control process on concrete in large construction sites. Therefore, rapid and reliable prediction of the strength of concrete would be of great significance. On this backdrop, the method is proposed to establish a predictive relationship between properties and proportions of ingredients of concrete, compaction factor, weight of concrete cubes and strength of concrete whereby the strength of concrete can be predicted at early age. Multiple regression analysis was carried out for predicting the compressive strength of concrete containing Portland Pozolana cement using statistical analysis for the concrete data obtained from the experimental work done in this study. The multiple linear regression models yielded fairly good correlation coefficient for the prediction of compressive strength for 7, 28 and 40 days curing. The results indicate that the proposed regression models are effectively capable of evaluating the compressive strength of the concrete containing Portaland Pozolana Cement. The derived formulas are very simple, straightforward and provide an effective analysis tool accessible to practicing engineers.

• Geomechanics and Engineering
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• 제12권2호
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• pp.185-195
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• 2017

With the rapid development of urban underground traffic, the study of soil deformation induced by subway tunnel construction and its settlement prediction are gradually of general concern in engineering circles. The law of soil displacement caused by shield tunnel construction of adjacent buildings is analyzed in this paper. The author holds that ground surface settlement based on the Gauss curve or Peck formula induced by tunnel excavation of adjacent buildings is not reasonable. Integrating existing research accomplishments, the paper proposed that surface settlement presents cork distribution curve characters, skewed distribution curve characteristics and normal distribution curve characteristics when the tunnel is respectively under buildings, within the scope of the disturbance and outside the scope of the disturbance. Calculation formulas and parameters on cork distribution curve and skewed distribution curve were put forward. The numerical simulation, experimental comparison and model test analysis show that it is reasonable for surface settlement to present cork distribution curve characters, skewed distribution curve characteristics and normal distribution curve characteristics within a certain range. The research findings can be used to make effective prediction of ground surface settlement caused by tunnel construction of adjacent buildings, and to provide theoretical guidance for the design and shield tunnelling.

• 물과 미래
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• 제27권3호
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• pp.35-43
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• 1994

여수로 하류부의 감세지내 세굴이 설계 기준치 이상으로 진전될 경우 여수로나 댐의 구조적 안정성을 위협하게 되는 심각한 상황이 야기되므로 감세지내의 극한 세굴깊이 예측에 대한 많은 연구들이 이루어져왔으나 감세지의 설계에 필수적인 세굴능의 분포특성에 대한 연구는 거의 이루어지지 않았다. 따라서 본 연구에서는 여수로나 관거로부터 방류되는 이 비점착성 하상에 도달되는 원형의 이상적인 모델을 개발하여 감세지 하상에서의 세굴능 분포를 측정하였다. 실험 연구결과 동일한 입사각의 경우 세굴분포는 의 수리학적 특성이나 감세지 깊이에 관계없이 실험 범위내에서는 기하학적으로 유사하다는 사실과 감세지의 설계목적만을 위한 세굴능의 분포형태는 의 입사각에 관계없이 실험 범위내에서는 하나의 식으로 표현될 수 있다는 사실을 통계학적 분석을 통하여 알아내었다. 또한 유도된 세굴분포식을 이용한 결과 실측치와 잘 일치됨을 확인하였다. 잘 일치됨을 확인하였다.

• 한국해안·해양공학회논문집
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• 제32권4호
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• pp.262-272
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• 2020

지금까지 연안에서 발생하는 쇄파에 대한 연구는 지속적으로 수행되었으며, 그에 따른 많은 실험자료가 축적되어 왔다. 또한, 다양한 실험자료로부터 공학적인 적용을 위한 쇄파 정보를 정량적으로 예측하기 위하여 회귀분석에 기반한 다양한 경험식이 제안되었다. 그러나 쇄파는 내재하고 있는 변동성이 있으므로 선형 회귀분석과 같은 선형적 통계접근 방법에는 한계가 있다. 본 연구에서는 쇄파파고 및 쇄파수심을 예측하기 위하여 기계학습 중 하나인 신경망을 사용하는 비선형 방법을 제안하였다. 신경망은 구글에서 배포하고 있는 머신러닝 오픈소스 플랫폼인 텐서플로(Tensorflow)를 이용하여 구축하였다. 신경망 모델은 수집된 실험자료를 무작위로 선택하여 학습하였으며, 학습에 이용하지 않은 자료를 사용하여 학습된 신경망을 평가하였다. 학습된 신경망에 의해 예측된 쇄파파고와 쇄파수심에 대한 예측결과는 기존의 경험식에 의한 계산결과에 비해 높은 예측성능을 보였으며, 이는 충분히 학습된 신경망은 쇄파파고 및 수심을 예측하기 위한 유용한 도구로 사용될 수 있음을 보여준다.

• Structural Engineering and Mechanics
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• 제36권2호
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• pp.225-241
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• 2010

In this study, a hybrid search algorithm combining genetic programming with orthogonal least squares (GP/OLS) is utilized to generate prediction models for compressive strength of high performance concrete (HPC) mixes. The GP/OLS models are developed based on a comprehensive database containing 1133 experimental test results obtained from previously published papers. A multiple least squares regression (LSR) analysis is performed to benchmark the GP/OLS models. A subsequent parametric study is carried out to verify the validity of the models. The results indicate that the proposed models are effectively capable of evaluating the compressive strength of HPC mixes. The derived formulas are very simple, straightforward and provide an analysis tool accessible to practicing engineers.