• Title/Summary/Keyword: 3D ground modeling

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A Study on Airborne LiDAR System Calibration and Accuracy Evaluation (항공LiDAR 시스템 검정 및 정확도 평가 연구)

  • Choi, Yun-Soo;Kong, In-Ku;Lee, Kang-Won
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.4
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    • pp.359-366
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    • 2005
  • Airborne LiDAR integrated with on-board GPS/INS and scanning technology is a state-of the-art system for direct 3D geo-spatial data acquisition. In this study, LiDAR data were calibrated using ground points in calibration site for the higher system accuracy. The accuracy results are ${\pm}15{\sim}30\;cm$ in horizontal and ${\pm}15\;cm$ in vertical. The results show that LiDAR system has capability for precise DEM and contour generation, 3D urban modeling and engineering design.

A Study on Analysis Method for Roller Compaction Work (다짐공사에 대한 롤러의 효율적 품질관리 방안 연구)

  • Lee, Soo Min;Lee, Seung Soo;Yu, Sang Hoon;Seo, Jong Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.3
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    • pp.621-627
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    • 2017
  • In this study, GPS (Global Positioning System) is applied to rollers for quality control problems caused by empirical judgment of compaction construction. In addition, database and 3D modeling of location information can eliminate unnecessary compaction or excessive compaction, thereby improving quality and shortening the time. This paper presents a methodology of ICMV (Intelligent Compaction Measurement Values) analysis by designing a intelligent compaction method using an accelerometer. Detailed method of ICMV analysis includes CMV (Compaction Meter Value) analysis which can quickly and conveniently evaluate the compaction of the compacted ground.

Development of 3D Dynamic Numerical Simulation Method on a Soil-Pile System (지반-말뚝 시스템에 대한 3차원 동적 수치 모델링 기법 개발)

  • Kim, Seong-Hwan;Na, Seon-Hong;Han, Jin-Tae;Kim, Sung-Ryul;Sun, Chang-Guk;Kim, Myoung-Mo
    • Journal of the Korean Geotechnical Society
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    • v.27 no.5
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    • pp.85-92
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    • 2011
  • The dynamic behavior of piles becomes very complex due to soil-pile dynamic interaction, soil non-linearity, resonance phenomena of soil-pile system and so on. Therefore, the proper numerical simulation of the pile behavior needs much effort and calculation time. In this research, a new modeling method, which can be applied to the conventional finite difference analysis program FLAC 3D, was developed to reduce the calculation time. The soil domain in this method is divided into a near-field region and a far-field region, which is not influenced by the soil-pile dynamic interaction. Then, the ground motion of the far-field is applied to the boundaries of the near-field instead of modeling the far-field region as finite meshes. In addition, the soil non-linearity behavior is modeled by using the hysteretic damping model, which determines the soil tangent modulus as a function of shear strain and the interface element was applied to simulate the separation and slip between the soil and pile. The proposed method reduced the calculation time by as much as one third compared with a usual modeling method and maintained the accuracy of the calculated results. The calculated results by the proposed method showed a good agreement with the prototype pile behavior, which was obtained by applying a similitude law to the 1-g shaking table test results.

Equivalent Design Parameter Determination for Effective Numerical Modeling of Pre-reinforced Zones in Tunnel (터널 사전보강 영역의 효과적 수치해석을 위한 등가 물성치 결정 기법)

  • Song, Ki-Il;Cho, Gye-Chun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.8 no.2
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    • pp.151-163
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    • 2006
  • Although various methods for effective modeling of pre-reinforced zones have been suggested for numerical analysis of large section tunnels, tunnel designers refer to empirical cases and literature reviews rather than engineering methods because ones who use commercial programs are unfamiliar with a macro-scale approach in general. Therefore, this paper suggests a simple micro-scale approach combined with the macro-scale approach to determine equivalent design parameters for effective numerical modeling of pre-reinforced zones in tunnel. This new approach is to determine the equivalent stiffness of pre-reinforced zones with combination of ground, bulb, and steel in series or/and parallel. For verification, 3-D numerical results from the suggested approach are compared with those of a realistic model. The comparison suggests that two cases make best approximation to a realistic solution: One is related to the series-parallel stiffness system (hereafter SPSS) in which bulb and steel are coupled in parallel and then connected to the ground in series, and the other is the series stiffness system (hereafter SSS) in which only bulb and steel are coupled in series. The SPSS is recommended for stiffness calculation of pre-reinforced zones because the SSS is inconvenient and time-consuming. The SPSS provides slightly bigger vertical displacement at tunnel crown in weathered rock than other cases and give almost identical results to a realistic model for horizontal displacement at tunnel spring line and ground surface settlement. Displacement trends on weathered rock and weathered soil are similar. The SPSS which is suggested in this paper represents the behavior mechanism of pre-reinforced area effectively.

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Implementation Method of GIS Map for 3D Liquefaction Risk Analysis (3차원 액상화 위험분석을 위한 GIS Map 구현 방안)

  • Lee, Woo-Sik;Jang, Yong Gu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.10-17
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    • 2020
  • Recently, the liquefaction phenomenon was first discovered in Korea due to a magnitude 5.4 earthquake that occurred in Pohang, Gyeonsangbuk-do. When liquefaction occurs, some of the water and sand are ejected to the ground, producing a space, which leads to various dangerous situations, such as ground subsidence, building collapse, and sinkhole generation. Recently, the necessity of producing a liquefaction risk map in Korea has increased to grasp potential liquefaction areas in advance. Therefore, this study examined the drilling information from the national geotechnical information DB center at the Ministry of Land, Infrastructure, and Transport to produce a liquefaction risk map, and developed a module to implement functions for basic data modeling and 3D analysis based on drilling information database extraction and information. Through this study, effective interlocking technology of the integrated database of national land information was obtained, and three-dimensional information was generated for each stage of liquefaction risk analysis, such as soil resistance value and a liquefaction risk map. In the future, the technology developed in this study can be used as a comprehensive decision support technology for establishing a foundation for building 3D liquefaction information and for establishing a response system of liquefaction.

Development of Improvement Effect Prediction System of C.G.S Method based on Artificial Neural Network (인공신경망을 기반으로 한 C.G.S 공법의 개량효과 예측시스템 개발)

  • Kim, Jeonghoon;Hong, Jongouk;Byun, Yoseph;Jung, Euiyoup;Seo, Seokhyun;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.9
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    • pp.31-37
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    • 2013
  • In this study installation diameter, interval, area replacement ratio and ground hardness of applicable ground in C.G.S method should be mastered through surrounding ground by conducting modeling. Optimum artificial neural network was selected through the study of the parameter of artificial neural network and prediction model was developed by the relationship with numerical analysis and artificial neural network. As this result, C.G.S pile settlement and ground settlement were found to be equal in terms of diameter, interval, area replacement ratio and ground hardness, presented in a single curve, which means that the behavior pattern of applied ground in C.G.S method was presented as some form, and based on such a result, learning the artificial neural network for 3D behavior was found to be possible. As the study results of artificial neural network internal factor, when using the number of neural in hidden layer 10, momentum constant 0.2 and learning rate 0.2, relationship between input and output was expressed properly. As a result of evaluating the ground behavior of C.G.S method which was applied to using such optimum structure of artificial neural network model, is that determination coefficient in case of C.G.S pile settlement was 0.8737, in case of ground settlement was 0.7339 and in case of ground heaving was 0.7212, sufficient reliability was known.

Power Integrity and Shielding Effectiveness Modeling of Grid Structured Interconnects on PCBs

  • Kwak, Sang-Keun;Jo, Young-Sic;Jo, Jeong-Min;Kim, So-Young
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.12 no.3
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    • pp.320-330
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    • 2012
  • In this paper, we investigate the power integrity of grid structures for power and ground distribution on printed circuit board (PCB). We propose the 2D transmission line method (TLM)-based model for efficient frequency-dependent impedance characterization and PCB-package-integrated circuit (IC) co-simulation. The model includes an equivalent circuit model of fringing capacitance and probing ports. The accuracy of the proposed grid model is verified with test structure measurements and 3D electromagnetic (EM) simulations. If the grid structures replace the plane structures in PCBs, they should provide effective shielding of the electromagnetic interference in mobile systems. An analytical model to predict the shielding effectiveness (SE) of the grid structures is proposed and verified with EM simulations.

Three-Dimensional Finite Element Mesh Generation of Tires Considering Detailed Tread Patterns (상세 트레드 패턴을 반영한 3차원 타이어 메쉬 생성)

  • Cho, J.R.;Kim, K.W.;Hong, S.I.;Kim, N.J.;Kim, K.W.
    • Proceedings of the KSME Conference
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    • 2001.11a
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    • pp.330-335
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    • 2001
  • While contacting directly with ground, the tire tread part is in shape of complex patterns of variable ASDs(anti-skid depth) for various tire performances. However, owing to the painstaking mesh generation job and the extremely long CPU-time, conventional 3-D tire analyses have been performed by either neglecting tread pattern or modeling circumferential grooves only. As a result, such simplified analysis models lead to considerably poor numerical expectations. This paper addresses the development of a systematic 3-D mesh generation of tires considering the detailed tread pattern. Basically, tire body and tread meshes are separately generated, and then both are to be combined. For the systematic mesh generation, which consists of a series of meshing steps, we develop in-house subroutines which utilize the useful functions of I-DEAS solid modeler. The detailed pattern mesh can be imparted partially or completely.

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Application of Relative Gravity Surveying and Modeling to Sinkhole Detection (싱크홀 탐지를 위한 상대중력측량과 중력모델링 기법의 활용)

  • Kim, Jinsoo;Lee, Young-Cheol;Lee, Jung-Mo
    • Korean Journal of Remote Sensing
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    • v.33 no.3
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    • pp.267-274
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    • 2017
  • The purpose of this research was to develop and present methods to detect sinkholes which can exist underneath the surface of the ground. First, we buried a water tank with dimensions $1.8{\times}0.8{\times}0.8m$ at a distance of 1.8 m from the surface. This played the role of the sinkhole. Secondly, we created a square zone with sides 12 meters away from the buried water tank. Within this zone, we measured the gravity at 1-meter intervals using a Scintrex CG5 relative gravimeter with a resolution of 0.001 mGal. Additionally, we performed three-dimensional (3-D) gravity modeling to calculate the theoretical values of the relative gravity around our model sinkhole. The resulting values for the relative gravity around the sinkhole depended on the method used. The measured effect of gravity was 0.036 mGal and the effect calculated using 3-D modeling was 0.024 mGal. Our results suggest that sinkholes that are similar in size to the water tank used in this study can be detected using relative gravity surveys. Smaller sinkholes can be detected by reducing the intervals between the relative gravity measurements.

Extraction of 3D Building Information using Shadow Analysis from Single High Resolution Satellite Images (단일 고해상도 위성영상으로부터 그림자를 이용한 3차원 건물정보 추출)

  • Lee, Tae-Yoon;Lim, Young-Jae;Kim, Tae-Jung
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.2 s.36
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    • pp.3-13
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    • 2006
  • Extraction of man-made objects from high resolution satellite images has been studied by many researchers. In order to reconstruct accurate 3D building structures most of previous approaches assumed 3D information obtained by stereo analysis. For this, they need the process of sensor modeling, etc. We argue that a single image itself contains many clues of 3D information. The algorithm we propose projects virtual shadow on the image. When the shadow matches against the actual shadow, the height of a building can be determined. If the height of a building is determined, the algorithm draws vertical lines of sides of the building onto the building in the image. Then the roof boundary moves along vertical lines and the footprint of the building is extracted. The algorithm proposed can use the shadow cast onto the ground surface and onto facades of another building. This study compared the building heights determined by the algorithm proposed and those calculated by stereo analysis. As the results of verification, root mean square errors of building heights were about 1.5m.

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