• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.6
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• pp.751-760
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• 2021

Most bridges in Korea are over 20 years old, and many problems linked to their deterioration are being reported. The current practice for bridge inspection mainly depends on expert evaluation, which can be subjective. Recent studies have introduced data-driven methods using building information modeling, which can be more efficient and objective, but these methods require manual procedures that consume time and money. To overcome this, this study developed an image-based automaticbridge component classification network to reduce the time and cost required for converting the visual information of bridges to a digital model. The proposed method comprises two convolutional neural networks. The first network estimates the type of the bridge based on the superstructure, and the second network classifies the bridge components. In avalidation test, the proposed system automatically classified the components of 461 bridge images with 96.6 % of accuracy. The proposed approach is expected to contribute toward current bridge maintenance practice.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.4
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• pp.335-345
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• 2016

It has problems to use the existing construction information classification system as the bridge breakdown structure due to lack of relationships between element classes. In this study, we proposed the bridge breakdown system for supplementation of above-mentioned classification system. The proposed system, for geometric information modeling, was based on international standards of methodology for structuring part families namely PLIB Part 42. In particular, the breakdown system, considering of the functional classification for the semantic information of the elements is included. In addition, we proposed a basic framework for actual modeling using bridge breakdown system and showed that it can be used in practice.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.2
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• pp.239-245
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• 2020

Recently, BIM (Building Information Modeling) are widely being utilized in Construction industry. However, most structures that have been constructed in the past do not have BIM. For structures without BIM, the use of SfM (Structure from Motion) techniques in the 2D image obtained from the camera allows the generation of 3D model point cloud data and BIM to be established. However, since these generated point cloud data do not contain semantic information, it is necessary to manually classify what elements of the structure. Therefore, in this study, deep learning was applied to automate the process of classifying structural components. In the establishment of deep learning network, Inception-ResNet-v2 of CNN (Convolutional Neural Network) structure was used, and the components of bridge structure were learned through transfer learning. As a result of classifying components using the data collected to verify the developed system, the components of the bridge were classified with an accuracy of 96.13 %.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.239-242
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• 2011

본 연구에서는 모듈러 강교량의 상부구조 구성요소에 대한 정보의 교환, 검색, 공유가 가능한 데이터사전을 구축하였다. 표준모듈의 계층정의를 위해 기존 교량분류체계를 기반으로, PLIB Part 42에서 제시하는 패밀리 조직 방법론을 적용하였다. 분류된 구성요소와 모듈에 대한 정보의 쉬운 검색 및 접근을 위하여 이름, 동의어, 정의 등과 같은 속성을 정의하였다. 또한 모듈의 형상표현이 가능하도록 속성을 정의하여, 파트라이브러리 시스템의 구성요소인 라이브러리 컨텐츠에 저장된 모듈라이브러리의 사용성을 용이하게 하였다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.4
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• pp.393-400
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• 2015

This study proposes a method to create and combine a superstructure module by parametric modeling, in order to improve the production efficiency of information model for modular steel bridge superstructure that can be used in planning, design and construction phase. Compound classification was performed in order to derive elements to apply the parametric modeling, and according to assembly condition, the classified elements were grouped into 13 types. In addition, three assembly conditions were derived for production of stable superstructure through combination of superstructure module, which is a production unit for modular steel bridge factory. Parameter that reflects assembly condition in compound shape when producing superstructure module through parametric modeling was deducted. Superstructure module compounds were produced according to type and parameter using interface generation based on Building Information Model(BIM) software that was developed in this study. The superstructure module produced reflects information to combine into a superstructure. To verify this, information model based on Industry Foundation Classes(IFC) was built and confirmed the application in production of superstructure by identifying the reflected property information.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.11a
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• pp.73-78
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• 2005

본 연구에서는 서울시 한강에 위치한 교량을 대상으로 다양한 조망점에 따른 경관조명의 물리량을 측정하고 그 특성을 분석함으로써 동일한 연구대상에 대하여 조망점이 달라졌을 때 나타나는 물리적 변화를 통해 경관조명분야의 물리량평가방법론의 새로운 접근방법론을 제시하는 것이 목적이다. 이를 위하여 연구대상의 선정은 교량구조형식에 따라 분류하고. 경관조명이 설치된 교량 17개소 중 다양한 조망점과 현장측정의 편리성 등을 고려하여 광진교(거더교), 올림픽대교(사장교), 동작대교(트러스교), 동작대교(아치교)를 연구대상으로 선정하였다. 조망점은 한강둔치를 이용하는 방문객들이 바라보는 투시뷰, 교량주변 건축물에서 바라보는 건물뷰 그리고 교량 위를 이동하면서 바라보는 주행뷰로 구분하였다. 이러한 연구방법으로 도출된 결과는 동일한 경관조명연출을 토대로 교량별 조망점에 따른 휘도측정 및 분석에서 측정되는 각도, 거리, 방향에 따라 정형화된 비율은 아니지만 휘도값에 있어서 차이가 있다는 것을 확인 할 수 있었으며, 투시뷰와 건물뷰는 동일한 교량 구성요소를 갖고 있어 상호간 비교 분석이 가능하고 경관조명평가 요소로서 그 기능을 담당 할 수 있다고 판단되며, 주행뷰는 교량형식과 가로등의 영향을 많이 받으므로 평가요소로써 조망점을 활용하기에는 조금 더 깊은 연구가 선행되어야 할 것으로 보인다. 따라서 경관조명을 평가함에 있어 다양하게 바라보는 조망점은 조명연출로 인한 시각적 인식에 차이를 유발시킬 수 있어 경관조명을 평가할 때 다양한 조망점의 설정이 보다 객관적이고 정확한 분석이 가능할 것으로 판단된다.ridinium의 분포는 chlorophyll-a농도와 밀접한 관련성이 있었다. 담수적조의 현존량은 상류지역에서 $8.5\;{\times}\;10^3\;cell\;mL^L{-1}$로서 많았고, 댐부근의 하류지역($4.4\;{\times}\;10^2\;cell\;mL^L{-1}$)으로 갈수록 감소하는 양상을 보였다. 또한, 담수적조의 원인종으로 규조류 Synedra acus와 남조류 Microcystis aeruginosa도 소량관찰되었다. 저수지의 수질 부영양화 현상은 기존 경사사면형 농경지를 기반으로 조성되었으므로 저층으로부터 풍부한 영양환경을 내재하고 있었고, 담수 초기에 발생할 수 있는 가능성을 포함하고 있었다. 또한 유입수량의 부족과 현재 수질개선을 위해 적용하고 있는 수중폭기시설등의 물리적인 영향도 직 ${\cdot}$ 간접적으로 작용하였을 것으로 추정되었다 따라서 향후 이에 대한 중장기적인 모니터링이 필요하였고 유역과 저수지의 통합적인 수질관리계획 이 요구되었다.group으로, 용존산소량, 전기전도도, pH, 인산염이 정점 3, 4, 5에서 같은 group으로 묶였다.유의적인 CAT 활성 증가효과가 나타났고, 간조직의 시토졸 1획분에서는 대조군 대비 15${\sim}$27%의 CAT 활성 증가효과가 인정되었다. 이상의 결과에서 목초액의 장기간 투여는 간조직 중의 활성산소의 억제효과뿐만 아니라 방어시스템으로서 활성산소 제거효소의 역할도 충실히 수행하여 노화를 효과적으로 예방하고 억제할 수 있을 것으로 기

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.773-784
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• 2019

With the recent development of 4th industrial revolution technology, BIM information systems are spreading to civil engineering fields as a link to this technology. Accordingly, the Land, Infrastructure and Transport Ministry is announcing a technical policy to introduce the BIM information system into the construction sector from 2020. Usually, SOC-related facilities are complex, making it difficult to implement BIM without a standards framework. To overcome these problems, it is urgent to develop a BIM standard classification system. In this study, the BIM property classification system was developed to link the previously developed object classification system by analyzing domestic and foreign prior studies and working standards. This includes property information of businesses, facilities, parts of facilities and components that correspond to the level of object composition in the road and river sectors. It also suggested ways to apply expansion to various SOC areas and to organize spatial information by facility. The results of this study were applied to road facilities to verify the possibility of information building. The development of the BIM Standards Classification System through this R&D will contribute to the development of construction IT by providing conditions for convenient modeling and information system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.687-697
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• 2014

This study ranges from planning phase to the detailed design phase of steel box girder bridge and proposes ways to generate semantic information of components through Industry Foundation Classes (IFC), a data model for Building Information Modeling (BIM). The classification of components of steel box girder bridge was performed to define information items required for identifying semantic information based on IFC, and spatial information items based on topology and physical information items based on functions of components were classified to create additional properties that does not support IFC by applying user-defined property set within the IFC framework. Steel box girder bridge information model based on IFC was implemented through BIM software and semantic information input interface, which was developed in this study to examine the effectiveness of the additionally created user-defined property. Furthermore, the quantity take-off of components was performed through information model of steel box girder bridge, and the applicability of the proposed method was tested by comparing the quantity take-off based on design document with the result.