• 자원환경지질
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• 제57권2호
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• pp.107-117
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• 2024

본 연구에서는 기후변화에 따른 하상변동과 골재 채취량 산정을 위해 논산천 유역을 대상으로 기후변화시나리오 기반의 SWAT 모형을 이용한 강우-유출 모델링과 HEC-RAS 모형을 이용한 장기 하상변동 모델링을 수행하였다. SSP5-8.5 시나리오의 미래 전반기에 대한 강우-유출 및 유사량 해석결과 연강수량의 차이가 최대 600 mm 이상 발생함에 따라 해당 유역의 유사유출량 또한 연간 30,000 ton 이상 차이가 발생하는 것으로 나타났다. 또한, 장기 하상변동 모델링을 통해 논산천 하류 하도의 퇴적구간 및 골재채취 가능량을 산정한 결과 금강 합류부로 부터 약 4.6~6.9 km의 상류부 2.455 km 구간에 대해 골재채취가 가능할 것으로 나타났다. 이러한 결과를 통해 극한강우 또는 가뭄 등의 이상기후로 인한 기후위기의 위험성이 커질 수 있으며 이러한 변동성의 증가는 장기적인 골재채취에 영향을 줄 수 있음을 확인하였다. 따라서 향후 장기적인 골재채취 계획 및 정책 수립에 기후변화의 영향을 고려하는 것이 중요할 것으로 판단된다.

• 자원환경지질
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• 제54권5호
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• pp.581-594
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• 2021

2020년에 국내 골재 총 채취량은 약 1억3,150만 m³ 이며, 이 중 모래는 약 4,386만 m³(33.3%), 자갈은 약 8,749만 m³(66.7%) 채취되었으며, 허가채취는 약 5,858만 m³(45%), 신고채취는 약 7,277만 m³(55%)이다. 골재원별로 보면 하천골재 약 50만 m³, 육상골재 약 380만 m³, 산림골재 약 4,680만m³, 바다골재 약 740만m³, 선별파쇄 약 6,827만m³, 선별세척 약 331만m³, 그리고 기타신고골재가 약 110만m³로 선별파쇄골재와 산림골재가 전체 채취량의 약 88% 차지하고 있다. 경기도가 광역시도에서는 골재를 가장 많이 채취하였으며, 그 다음으로 경상남도, 충청북도, 강원도 충청남도, 인천광역시의 순이다. 2020년에는 231개 시군구의 약 67%인 153개 시군구에서 골재를 채취하였으며, 38개 시군구에서 100만 m³ 이상의 골재를 채취하였으며, 채취량은 전국 채취량의 65%인 약 8,567만 m³이다. 2020년도에는 약 1040여개소의 채취장이 운영되었으나 실제 골재를 채취한 채취장은 약 889개 채취장으로 선별파쇄장이 약 415개소로 가장 많으며, 산림골재, 육상골재장은 200개소 내외이다. 100만 m³ 이상을 채취한 채취장은 14개 채취장이며, 1만 m³ 이하의 소규모 채취장도 약 126개소이다. 약 420여개의 허가채취장에서 허가기간은 최장 32년에서 최소 2개월이며, 허가 잔여기간을 보면 2021년 이후 채취가능한 채취장이 약 55% 이며, 2020년 수준의 허가 골재채취물량을 유지하기 위해서는 최소한 200여개 이상의 채취장에 대해 허가연장, 신규허가가 필요할 것이다.

• Journal of information and communication convergence engineering
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• 제11권2호
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• pp.95-102
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• 2013

This paper presents a stochastic driver behavior modeling framework which takes into account both individual and general driving characteristics as one aggregate model. Patterns of individual driving styles are modeled using a Dirichlet process mixture model, as a non-parametric Bayesian approach which automatically selects the optimal number of model components to fit sparse observations of each particular driver's behavior. In addition, general or background driving patterns are also captured with a Gaussian mixture model using a reasonably large amount of development data from several drivers. By combining both probability distributions, the aggregate driver-dependent model can better emphasize driving characteristics of each particular driver, while also backing off to exploit general driving behavior in cases of unseen/unmatched parameter spaces from individual training observations. The proposed driver behavior model was employed to anticipate pedal operation behavior during car-following maneuvers involving several drivers on the road. The experimental results showed advantages of the combined model over the model adaptation approach.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.263-269
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• 2022

The global financial crisis of 2008-2009 and the COVID-19 pandemic that started in 2019 along with the slow and unstable recovery of the global economy have raised concerns about the impact of global uncertainty on the macroeconomics of the countries. The paper used the Structural Vector Autoregression (SVAR) model to examine the impact of global uncertainty shocks on Vietnam's economy from the period 2008-2022. We found that Vietnam's output dropped following the shock of global uncertainty, the peak was in the third month, and lasted for one year. Inflation in Vietnam had a rapid downturn in the first month, peaked in the seventh month, and took a long time to cease. When the economy experienced the shock of increased global uncertainty, Vietnam's policy interest rate was adjusted downward. Additionally, we included a long-term interest rate to consider the overall impact of monetary policy into account. A decreasing trend was also found with this rate. The global uncertainty shock effects acted as the aggregate demand shocks, reducing output and inflation as the uncertainty increases and vice versa, thus monetary policy can be used to regulate Vietnam's economy to deal with negative shocks without the trade-offs between output and inflation as aggregate supply shocks.

• Structural Engineering and Mechanics
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• 제41권4호
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• pp.495-508
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• 2012

The strength theory of concrete is significant to structure design and nonlinear finite element analysis of concrete structures because concrete utilized in engineering is usually subject to the action of multi-axial stress. Experimental results have revealed that lightweight aggregate (LWA) concrete exhibits plastic flow plateau under high compressive stress and most of the lightweight aggregates are crushed at this stage. For the purpose of safety, therefore, in the practical application the strength of LWA concrete at the plastic flow plateau stage should be regarded as the ultimate strength under multi-axial compressive stress state. With consideration of the strength criterion, the ultimate strength surface of LWA concrete under multi-axial stress intersects with the hydrostatic stress axis at two different points, which is completely different from that of the normal weight concrete as that the ultimate strength surface is open-ended. As a result, the strength criteria aimed at normal weight concrete do not fit LWA concrete. In the present paper, a multi-axial strength criterion for LWA concrete is proposed based on the Unified Twin-Shear Strength (UTSS) theory developed by Prof Yu (Yu et al. 1992), which takes into account the above strength characteristics of LWA under high compressive stress level. In this strength criterion model, the tensile and compressive meridians as well as the ultimate strength envelopes in deviatoric plane under different hydrostatic stress are established just in terms of a few characteristic stress states, i.e., the uniaxial tensile strength $f_t$, the uniaxial compressive strength $f_c$, and the equibiaxial compressive $f_{bc}$. The developed model was confirmed to agree well with experimental data under different stress ratios of LWA concrete.

• 한국도로학회논문집
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• 제9권1호
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• pp.57-67
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• 2007

최근 아스팔트 혼합물의 VMA 혹은 그 외 다른 체적요소의 기준값을 대체하기 위해 유효아스팔트 함량(film thickness)에 대해 논의되어 왔다. 이들 중 일부는 유효 아스팔트 함량의 기준값을 제안하였으며, 일부는 새로운 개념 또는 계산 방법을 포함하는 새로운 모델을 즉, 인덱스 모델(index model) 또는 가상 모델(virtual model)을 소개하였다. 각각의 모델은 아스팔트혼합물의 체적특성을 설명하는데 있어서 형상, 크기 등 골재의 체적특성을 정량화하는 방법을 이용한다. 본 연구에서는 인덱스 모델과 가상 모델의 장점을 결합한 개선된 가상 모델 (modified virtual model)을 제안하였다. 개선된 가상 모델을 기존의 두 가지 모델과 비교평가하기 위하여 DASR 개념에 근거하여 제작된 총 8개의 혼합물을 대상으로 IDT 시험과 APA 시험을 수행하였다. 시험 결과, 아스팔트 혼합물의 공용성과 유효 아스팔트 함량의 관계를 계산함에 있어서 본 연구에서 제안된 가상 모델은 기존의 모델들에 비해 더 적절함을 알 수 있었다.

• East Asian Economic Review
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• 제22권3호
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• pp.307-336
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• 2018

This paper proposes a monetary aggregate "Liquidity" that could serve as a useful indicator for gauging the appropriateness of monetary policy. If liquidity rises above a certain threshold, it is signaling that monetary policy is losing traction due to structural and other impediments even when the inflation gap remains open. This indicator supplements the financial cycle approach but adds value by providing a benchmark that is derived from the national account, and not based on its own trend. Over the last two decades, each time this measure rose above the threshold range, it was followed by a decline in GDP growth. The latter was greater when accompanied by a high physical asset value to GDP, e.g., an elevated property market.

• Journal of Photoscience
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• 제10권1호
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• pp.149-155
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• 2003

The absorption, fluorescence and fluorescence-excitation spectra of concentrated toluene solutions of selected para substituted trans-stilbene derivatives provide strong evidence for aggregation. A red-shifted fluorescence spectrum peaking at 420 nm gains in intensity as the stilbene concentration is increased. The excitation spectrum of this new emission is well to the red of the normal stilbene absorption spectrum, consistent with the appearance of a red shifted shoulder in the UV spectrum. Formation of a fluorescent ground state dimer (or higher aggregate) is proposed to account for these observations. The presence of polar substituents is crucial to the formation of this ground state complex.

• Structural Engineering and Mechanics
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• 제38권4호
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• pp.503-516
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• 2011

Uncertainty in concrete properties, including concrete modulus of elasticity and modulus of rupture, are predicted by developing a microstructural homogenization model. The homogenization model is developed by analyzing a concrete representative volume element (RVE) using the finite element (FE) method. The concrete RVE considers concrete as a three phase composite material including: cement paste, aggregate and interfacial transition zone (ITZ). The homogenization model allows for considering two sources of variability in concrete, randomly dispersed aggregates in the concrete matrix and uncertain mechanical properties of composite phases of concrete. Using the proposed homogenization technique, the uncertainty in concrete modulus of elasticity and modulus of rupture (described by numerical cumulative probability density function) are determined. Deflection uncertainty of reinforced concrete (RC) beams, propagated from uncertainties in concrete properties, is quantified using Monte Carlo (MC) simulation. Cracked plane frame analysis is used to account for tension stiffening in concrete. Concrete homogenization enables a unique opportunity to bridge the gap between concrete materials and structural modeling, which is necessary for realistic serviceability prediction.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.371-374
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• 2004

The ultimate purpose of Supply Chain Management (SCM) is maximizing the profits of the overall Supply Chain (SC) through increasing customer satisfaction and decreasing operating cost. It can be successfully accomplished only when SC system balances demands with supply activities coordinated by aggregate planning, mid-term level of Supply Chain Planning(SCP). However, the existing measures to mainly estimate the specific function of SCM are not enough to evaluate the state of SC with respect to the balance between supply and demand in operating. To solve this problem, we develop a new SC performance measure, Balancing Point, using momentum concept. a fundamental knowledge of physics. Momentum concept can explain the relation among objects so that it can consider the balance between supply and demand in SC operating. The developed measure can not only consider the current state of the SC system but also take planned but not executed supply activities and upcoming demands into account. Therefore, using Balancing point, we can be aware of the unbalanced state of SC in advance.