• 터널과지하공간
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• 제14권2호
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• pp.108-120
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• 2004

발파작업으로 인해 발생하는 발파진동이 암반 및 주위 구조물에 미치는 영향을 분석하기 위한 동하중해석이 최근 급격히 증가하고 있다. 하지만 일반적인 동하중 해석은 발파압력이력곡선을 통하여 얻어진 발파하중을 입력 자료로 사용하고 있으므로 복잡한 지질 구조를 갖는 암반에 대해서는 그 신뢰도가 떨어지고 있다. 이에 본 연구에서는 해석 대상 지역에서의 발파작업을 통해 직접 획득된 발파진동파형을 그대로 입력 자료로 활용하였으며, 인도네시아 Pasir 노천 채광장에 대한 현장 적용을 통해 사면의 현재 상황을 수치 해석적으로 정확히 모사함으로써 발파진동파형을 입력 자료로 활용하는 기법에 대한 검증이 가능하였다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.170-175
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• 2003

Ground and rock mass considered in tunnelling have characteristics such as uncertainty, heterogeneity and structural complexity because they have been formed undergoing various geological events for a long period. So, it is difficult for engineers to predict behaviors of rock mass in tunneling. In the paper the authors describe the development of an integrated expert system prototype for site investigation, design and construction in tunnelling and introduce the case applying this system to the tunnel construction site under construction. Geostructure Research Group in Korea Institute of Construction Technology (KICT) has developed the system during the past 4 years. The system mainly consists of several modules which is related to the design, construction and management of tunnelling. The test site, Neung-dong tunnel is located in Ulsan, Korea. The geology map shows it may confront big fault zone whose width is over kilometres. With the networking system of ITIS, various information of face mapping, monitoring and other construction task can be transmitted into the database and GIS Server at real time. And necessary analyses can be carried out with the modules equipped in the system.

• 터널과지하공간
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• 제17권4호
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• pp.301-310
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• 2007

심부 탄광 개발의 타당성 검토나 통기계획 수립시 갱내 작업장의 온도를 예측하는 것은 매우 중요하다. 심부의 탄광주변의 암반은 매우 다양하고 여러 암종으로 구성되어 있어 암반의 열 전도율(thermal conductivity)를 구하는 일은 매우 어려운 작업이다. 이에 본 연구에서는 복잡한 갱내여건에 상응한 열전도율을 도출하기 위해 artificial neural network(인공신경망)를 새롭게 도입하여 갱내 기상 예측을 위한 전산 프로그램을 개발하였다. 인공 신경망을 이용한 열전도율 계산 프로그램은 back-propagation algorithm을 사용하였으며 9개의 인자를 받아들이는 input layer와 5개와 3개의 뉴런을 가지는 두 개의 hidden layer로 구성되어져 있다. 개발된 TemPredict를 이용하여 장성광업소의 심부온도를 검증한 결과 장성생산부 -300 ML 하반구 입구의 온도가 $25.65^{\circ}C$로 산출되었고 실제 온도($25.7^{\circ}C$)와 $0.05^{\circ}C$의 차이를 나타냈다. 이는 오차 범위 5% 이내에 포함되는 것으로 검증결과 95% 이상의 높은 신뢰도를 나타냈다. 위의 검증결과를 통해 TemPredict를 이용하여 현재 굴진중인 -425 ML이 관통이 되었을때의 장성생산부 주운반갱도 9X지점의 온도를 예측하였다. 예측 결과 장성생산부 주운반갱도 9X지점의 온도는 $28.2^{\circ}C$로 예측되었다. 향후 TemPredict를 통한 온도예측을 통하여 광산이나 지하구조물의 설계시 통기계획에 많은 도움을 줄 것으로 기대된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.500-503
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• 2006

To adjust the discrepancy between Light Detection and Ranging (LIDAR) strips, previous researches generally have been conducted using conjugate features, which are called feature-based approaches. However, irrespective of the type of features used, the adjustment process relies upon the existence of suitable conjugate features within the overlapping area and the ability of employed methods to detect and extract the features. These limitations make the process complex and sometimes limit the applicability of developed methodologies because of a lack of suitable features in overlapping areas. To address these drawbacks, this paper presents a methodology using area-based algorithms. This approach is based on the scheme that discrepancies make complex the local height variations of LIDAR data whithin overlapping area. This scheme can be helpful to determine an appropriate transformation for adjustment in the way that minimizes the geographical complexity. During the process, the contour tree (CT) was used to represent the geological characteristics of LIDAR points in overlapping area and the Iterative Closest Points (ICP) algorithm was applied to automatically determine parameters of transformation. After transformation, discrepancies were measured again and the results were evaluated statistically. This research provides a robust methodology without restrictions involved in methods that employ conjugate features. Our method also makes the overall adjustment process generally applicable and automated.

• Geomechanics and Engineering
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• 제16권2호
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• pp.125-140
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• 2018

Tianjin, which is located on the west shore of the Bohai Sea, is part of China's Circum-Bohai-Sea Region, where very weak clay is deposited. From the 1970s to the early $21^{st}$ century, Tianjin marine clay deposits have been the subject of numerous geotechnical investigations. Because of these deposits' geological complexity, great depositional thickness, high water content, large void ratio, excessive settlement, and low shear strength, the geotechnical properties of Tianjin marine clay need to be summarized and evaluated based on various in situ and laboratory tests so that Tianjin can safely and economically sustain more infrastructure in the coming decades. In this study, the properties of Tianjin marine clay, especially its consolidation properties, are summarized, evaluated and discussed. The focus is on establishing correlations between the geotechnical property indexes and mechanical parameters of Tianjin marine clay. These correlations include the correlations between the water content and the void ratio, the depth and the undrained shear strength, the liquid limit and the compression index, the tip resistance and the constrained modulus, the plasticity index and the ratio of undrained shear strength and the preconsolidation pressure. In addition, the primary consolidation properties of Tianjin marine clay, such as the intrinsic compression line (ICL), sedimentation compression line (SCL), compression index, $C_c$, coefficient of consolidation, $C_v$, and hydraulic conductivity change index, $C_{kv}$, are evaluated and discussed. A secondary consolidation property, i.e., the secondary compression index, $C_a$, is also investigated, and the results show that the ratio of $C_a/C_c$ for Tianjin marine clay can be used to calculate $C_a$ in secondary consolidation settlement predictions.

• Environmental Engineering Research
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• 제24권4호
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• pp.670-679
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• 2019

Lignin complexity molecule makes its biodegradation difficult during lignocellulosic wastes composting. So, the improvement of its biodegradation has usually been considered as an objective. This study aimed to determine the impact of Trametes trogii inoculation on organic matter and particularly on lignin and cellulose during green wastes co-composting with olive mill waste water sludge and coffee grounds. Three types of heaps (H1, H2 and H3) were investigated during 180 d. H3 and H2 were inoculated at the beginning of the process (t₀) and 120 d later (t₁₂₀), respectively while H1 was the control. Results showed the absence of pH stabilization in H3 during the first month. Also, in this period we observed a faster degradation of some easily available organic matter in H3 than in the other heaps. After 120 d, a better cellulose decomposition (25.28%) was noticed in H3 than in H1 and H2 (16%). Inoculation during the second fermentation phase induced supplementary lignin degradation in H2 with a percentage of 35% against 23 and 26% for H1 and H3, respectively. For all the runs, a Fourier Transform Infrared analysis showed aliphatic groups' decrease, OH groups' increase and lignin structural modification.

• 지구물리와물리탐사
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• 제8권1호
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• pp.34-40
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• 2005

직경 96 m 까지의 배열을 이용하는 microtremor 방법을 통해 호주의 미고결 제4기 Yarra Delta 퇴적물의 30-50 m 심도까지의 S 파 속도구조를 비파괴적으로 추정할 수 있었다. 두 실트층(Cool Island silt 와 Fishermans Bend silt)이 주해석대상인데, $5\%$의 정밀도로 이 층들의 S 파 속도를 얻을 수 있었으며, 상부의 좀 더 역약한 층(Vs: 130 m/sec) 및 하부의 약간 단단한 층(Vs: 235 m/sec)으로 구별된다. 이 층들 하부에 이미 역층으로 알려진 단단한 층(Vs: 500 - 650 m/sec)도 구별해내었다. 단일 수진기 별로 수평/수직 성분 스펙트럼비를 이용한 지표 횡단 결과로 연약한 실트층 두께의 변화를 빠르게 파악할 수 있으나 단지 정성적이며, 복잡한 지질단면의 경우에 정량적인 S 파 분포를 알기 위해서는 배열방법이 사용되어야 할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.3917-3941
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• 2019

The recent interest in artificial intelligence and machine learning has partly contributed to an interest in the use of such approaches for hyperspectral remote sensing (HRS) imagery classification, as evidenced by the increasing number of deep framework with deep convolutional neural networks (CNN) structures proposed in the literature. In these approaches, the assumption of obtaining high quality deep features by using CNN is not always easy and efficient because of the complex data distribution and the limited sample size. In this paper, conventional handcrafted learning-based multi features based on expert knowledge are introduced as the input of a special designed CNN to improve the pixel description and classification performance of HRS imagery. The introduction of these handcrafted features can reduce the complexity of the original HRS data and reduce the sample requirements by eliminating redundant information and improving the starting point of deep feature training. It also provides some concise and effective features that are not readily available from direct training with CNN. Evaluations using three public HRS datasets demonstrate the utility of our proposed method in HRS classification.

• Geomechanics and Engineering
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• 제24권5호
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• pp.407-418
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• 2021

Due to the complexity of the causes of the sliding mass instabilities, landslide susceptibility and hazard evaluation are difficult, but they can be more carefully considered and regionally evaluated by using new programming technologies to minimize the hazard. This study aims to evaluate the landslide hazard zonation in the Tabriz region, Iran. A fuzzy logic-based multi-criteria decision-making method was proposed for susceptibility analysis and preparing the hazard zonation maps implemented in MATLAB programming language and Geographic Information System (GIS) environment. In this study, five main factors have been identified as triggering including climate (i.e., precipitation, temperature), geomorphology (i.e., slope gradient, slope aspect, land cover), tectonic and seismic parameters (i.e., tectonic lineament congestion, distribution of earthquakes, the unsafe radius of main faults, seismicity), geological and hydrological conditions (i.e., drainage patterns, hydraulic gradient, groundwater table depth, weathered geo-materials), and human activities (i.e., distance to roads, distance to the municipal areas) in the study area. The results of analyses are presented as a landslide hazard map which is classified into 5 different sensitive categories (i.e., insignificant to very high potential). Then, landslide susceptibility maps were prepared for the Tabriz region, which is categorized in a high-sensitive area located in the northern parts of the area. Based on these maps, the Bozgoosh-Sahand mountainous belt, Misho-Miro Mountains and western highlands of Jolfa have been delineated as risk-able zones.

• 지구물리
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• 제3권2호
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• pp.113-126
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• 2000

난지도 매립장의 안정화에 따른 지질환경 변화를 조사하기 위하여 탐사가 가능한 제 2 매립장 상부와 한강변에 연한 매립지의 기저지역에서 중력, 자력, 쌍극자-쌍극자, 자연전위 탐사를 수행하였다. 제 2 매립장 상부에서 수행한 중력과 자력 탐사 결과를 4 년전의 선행연구 결과와 비교하면 매립장 중앙 부분에서 밀도구배가 작아지고 복잡한 양상을 보였던 자력이상 분포가 많이 단순해진 것으로 나타난다. 이는 매립지의 안정화과정에서 침하와 복토작업이 반복되면서 매립물의 다짐작용이 순조롭게 진행되고 있는 것으로 보인다. 제 1 매립장 차수벽 밖에서 실시한 쌍극자-쌍극자 전기탐사와 자연전위탐사 결과에는 제 1 매립장 주위의 불량한 탐사환경에 의한 영향이 많이 나타난다. 제 2 매립장의 차수벽 안과 밖에서 실시한 쌍극자-쌍극자 전기탐사 결과를 비교하면 차수벽이 침출수를 어느 정도 차단하는 효과를 볼 수 있다. 제 2 매립장의 상부와 사면에서 수행한 자연전위탐사에서는 특별한 자연전위 이상은 나타나지 않으나, 하부의 차수벽 내부에서 수행한 자연전위 탐사 결과에는 침출수를 모으는 집수정의 영향이 크게 나타난다.