• Title/Summary/Keyword: 건물모델

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3D Building Model Texture Extraction from Multiple Spatial Imagery for 3D City Modeling (3차원 도시모델 생성을 위한 다중 공간영상 기반 건물 모델 텍스쳐 추출)

  • Oh, Jae-Hong;Shin, Sung-Woong;Park, Jin-Ho;Lee, Hyo-Seong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.4
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    • pp.347-354
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    • 2007
  • Since large portal service providers started web services for 3D city models around the world using spatial imagery, the competition has been getting intense to provide the models with the higher quality and accuracy. The building models are the most in number among the 3D city model objects, and it takes much time and money to create realistic model due to various shapes and visual appearances of building object. The aforementioned problem is the most significant limitation for the service and the update of the 3D city model of the large area. This study proposed a method of generating realistic 3D building models with quick and economical texture mapping using multiple spatial imagery such as aerial photos or satellite images after reconstructed geometric models of buildings from building layers in digital maps. Based on the experimental results, the suggested method has effectiveness for the generation of the 3D building models using various air-borne imagery and satellite imagery quickly and economically.

Reduced Degree of Freedom Modeling for Progressive Collapse Analysis of Tall Buildings using Applied Element Method (응용 요소법을 이용한 초고층 건물의 축소 모델링 연쇄붕괴 해석)

  • Kim, Han-Soo;Wee, Hae-Hwan
    • Journal of the Korea Concrete Institute
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    • v.26 no.5
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    • pp.599-606
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    • 2014
  • Since progressive collapse of tall buildings can cause enormous damage, it should be considered during the design phase of tall buildings. The progressive collapse analysis of tall buildings using finite element methods is almost impossible due to the vast amount of computing time. In this paper, applied element method was evaluated as an alternative to the finite element method. Reduced DOFs modeling technique was proposed to enable the progressive collapse analysis of tall buildings. The reduced DOFs model include only the part which is subjected to direct damage from blast load and the structural properties such as mass, transferred load and stiffness of excluded parts are accumulated into the top story of the reduced DOFs model. The proposed modeling technique was applied to the progressive collapse analysis of 20-story RC building using three collapse scenarios. The reduced DOFs model showed similar collapse behavior to the whole model while the computing time was reduced by 30%. The proposed modeling technique can be utilized in the progressive collapse analysis of tall buildings due to abnormal loads.

A Study on the Performance Assessment of BARCOM Model (BARCOM 모델의 성능평가에 관한 연구)

  • Lee, Hong-Pyo;Jang, Jung-Bum;Hwang, Kyeong-Min;Song, Young-Chul
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.388-391
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    • 2011
  • 이 논문에서는 인도의 BARC에서 가압중수형 격납건물의 선형탄성 거동 및 균열의 발생형상과 극한내압 평가를 위해서 건설한 1/4 축소모델 격납건물에 대하여 실험한 결과와 유한요소 해석에 의한 결과를 비교 분석하였다. 유한요소 해석은 상용프로그램인 ABAQUS를 이용하였고 각각의 구조재료에 대한 수치 해석모델을 작성하여 내압해석을 수행하였다.

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Performance Analysis of Building Damage Prediction Models using Earthquake Data (지진 데이터를 이용한 건물 피해 예측 모델의 성능 분석)

  • Songhwa Chae;Yujin Lim
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.547-548
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    • 2023
  • 내진 설계가 되어있지 않은 건물의 경우, 지진으로 인해 건물 붕괴 가능성이 높아지며 이로 인해 많은 인명 피해가 발생할 수 있다. 지진으로 인한 건물의 피해를 예측하고 이를 기반으로 취약점을 보완한다면 인명 피해를 줄일 수 있으므로 건물 피해 예측 모델에 대한 연구가 필요하다. 본 논문에서는 2015 년 네팔 대지진으로 인해 손상된 건물 데이터를 활용하여 Random Forest 와 Extreme Gradient Boosting 기계학습 분류 알고리즘을 사용하여 지진 피해 예측 모델의 정확도를 비교하였다.

A Development of Model for Fire Hazard Assessment in the Buildings (건물의 화재 위험성 평가를 위한 모델(Model) 개발)

  • 이수경;김수태
    • Fire Science and Engineering
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    • v.10 no.4
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    • pp.29-36
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    • 1996
  • The hazard assessment in which the potential hazard factors in the buildings are investigated and the scale of the hazard is analyzed should be performed first in order to prevent personal and material damages due to building fire. In this study, the building fire hazard are assessed using 822-item checklist, for the qualitative evaluation of which the main factors are classified into 10 items, yielding 100 scale points with some weighting. It is shown that present model is applicable for the assessment of all general buildings through the examination of the suitability of assessment model by actual assessment of existing building. Also, the checklist is prepared in itemized questionnaire form for easy assessment of building fire hazard. Therefore, the present model will be helpful for those working in fire prevention, who are suffering from the lack of manifest evaluation model for the fire prevention assessment so far in Korea.

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Nonlinear Finite Element Analysis of PHWR Containment Building (가압중수형 격납건물의 비선형 유한요소해석)

  • Lee, Hong-Pyo;Song, Young-Chul
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2009.04a
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    • pp.287-290
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    • 2009
  • 이 논문에서는 가압중수형(Pressurized Heavy Water Reactor) 프리스트레스 콘크리트 격납건물의 1/4 축소모델에 대한 극한내압능력과 전반적인 비선형거동에 관한 유한요소 해석을 수행하였다. 가압중수형 격납건물은 원통형 벽체와 돔으로 구성되었고, 4개의 부벽을 갖는다. 유한요소해석을 위해서 상용코드 ABAQUS를 이용하였고, 콘크리트, 철근 및 텐던에 대한 수치모델링을 작성하여 자중과 내압하중을 적용하였고, 텐던의 2% 변형률을 기준으로 극한내압능력을 평가하였다. 이때 사용된 재료모델로 콘크리트는 Concrete Damaged Plasticity 모델을 사용하였고, 철근과 텐던은 Elasto-Plastic 모델을 적용하였다. 유한요소 해석결과 콘크리트의 초기균열 0.41MPa에서 발생하였고, 극한내압은 0.56MPa 정도로 평가되었다.

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Automatic Generation of Clustered Solid Building Models Based on Point Cloud (포인트 클라우드 데이터 기반 군집형 솔리드 건물 모델 자동 생성 기법)

  • Kim, Han-gyeol;Hwang, YunHyuk;Rhee, Sooahm
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1349-1365
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    • 2020
  • In recent years, in the fields of smart cities and digital twins, research on model generation is increasing due to the advantage of acquiring actual 3D coordinates by using point clouds. In addition, there is an increasing demand for a solid model that can easily modify the shape and texture of the building. In this paper, we propose a method to create a clustered solid building model based on point cloud data. The proposed method consists of five steps. Accordingly, in this paper, we propose a method to create a clustered solid building model based on point cloud data. The proposed method consists of five steps. In the first step, the ground points were removed through the planarity analysis of the point cloud. In the second step, building area was extracted from the ground removed point cloud. In the third step, detailed structural area of the buildings was extracted. In the fourth step, the shape of 3D building models with 3D coordinate information added to the extracted area was created. In the last step, a 3D building solid model was created by giving texture to the building model shape. In order to verify the proposed method, we experimented using point clouds extracted from unmanned aerial vehicle images using commercial software. As a result, 3D building shapes with a position error of about 1m compared to the point cloud was created for all buildings with a certain height or higher. In addition, it was confirmed that 3D models on which texturing was performed having a resolution of less than twice the resolution of the original image was generated.

화재원인조사실무 - 특수건물 화재의 특징과 조사

  • Park, Nam-Gyu
    • 방재와보험
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    • s.128
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    • pp.48-51
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    • 2008
  • 화재보험에서 '특수건물'이란 일정 규모 이상의 특수한 조건을 구비한 건물로 화재로 인한 인명 및 재산의 손해에 대하여 적정한 보상이 가능하도록 보험가입을 의무화하는 건물을 지칭하나, 화재 특징과 조사를 논하는 본 고에서는 보험의 대상물로서의 분류가 아닌 기 연재된 창고, 주거용 건물, 빌딩 등을 제외한 나머지 건물 형태의 것을 언급하려고 함을 미리 밝혀둔다. 여기에는 문화재, 사찰건물, 교회, 비닐하우스, 모델하우스 등의 화재 특징을 살펴보고자 한다.

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단위 건물의 에너지부하 모델 개발

  • 박화춘
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.32 no.11
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    • pp.39-44
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    • 2003
  • 소형 열병합발전의 주 도입대상인 호텔, 병원, 오피스빌딩, 오피스텔, 공공건물, 백화점, 쇼핑센터, 관람시설, 아파트, 주상복합아파트 등을 대상으로 단위건물의 월별 에너지부하 및 일별 에너지부하모델을 소개하고자 한다.

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Evaluation of Clustered Building Solid Model Automatic Generation Technique and Model Editing Function Based on Point Cloud Data (포인트 클라우드 데이터 기반 군집형 건물 솔리드 모델 자동 생성 기법과 모델 편집 기능 평가)

  • Kim, Han-gyeol;Lim, Pyung-Chae;Hwang, Yunhyuk;Kim, Dong Ha;Kim, Taejung;Rhee, Sooahm
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1527-1543
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    • 2021
  • In this paper, we explore the applicability and utility of a technology that generating clustered solid building models based on point cloud automatically by applying it to various data. In order to improve the quality of the model of insufficient quality due to the limitations of the automatic building modeling technology, we develop the building shape modification and texture correction technology and confirmed the resultsthrough experiments. In order to explore the applicability of automatic building model generation technology, we experimented using point cloud and LiDAR (Light Detection and Ranging) data generated based on UAV, and applied building shape modification and texture correction technology to the automatically generated building model. Then, experiments were performed to improve the quality of the model. Through this, the applicability of the point cloud data-based automatic clustered solid building model generation technology and the effectiveness of the model quality improvement technology were confirmed. Compared to the existing building modeling technology, our technology greatly reduces costs such as manpower and time and is expected to have strengths in the management of modeling results.