• Title/Summary/Keyword: building information model

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Windborne debris risk analysis - Part I. Introduction and methodology

  • Lin, Ning;Vanmarcke, Erik
    • Wind and Structures
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    • v.13 no.2
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    • pp.191-206
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    • 2010
  • Windborne debris is a major cause of structural damage during severe windstorms and hurricanes owing to its direct impact on building envelopes as well as to the 'chain reaction' failure mechanism it induces by interacting with wind pressure damage. Estimation of debris risk is an important component in evaluating wind damage risk to residential developments. A debris risk model developed by the authors enables one to analytically aggregate damage threats to a building from different types of debris originating from neighboring buildings. This model is extended herein to a general debris risk analysis methodology that is then incorporated into a vulnerability model accounting for the temporal evolution of the interaction between pressure damage and debris damage during storm passage. The current paper (Part I) introduces the debris risk analysis methodology, establishing the mathematical modeling framework. Stochastic models are proposed to estimate the probability distributions of debris trajectory parameters used in the method. It is shown that model statistics can be estimated from available information from wind-tunnel experiments and post-damage surveys. The incorporation of the methodology into vulnerability modeling is described in Part II.

Case Study of BIM Quality Assurance (BIM 모델의 품질검증 사례연구)

  • Jeong, Yeon-Suk;Park, Sang-Il;Lee, Sang-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.379-382
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    • 2010
  • This study proposes a way to validate BIM data quality in BIM applications. Solibri model checker is adopted as a module development platform, which is based on Java programming language. The platform makes application developers implement BIM model checker for their own purpose. This study has developed a BIM validation module for circulation analysis of building design. The validation module enables end-users to automatically detect data corrupted or not defined. In case studies, the module found that an IFC file generated from a BIM software has wrong relation information between a space and boundary elements. A building model should satisfy modeling requirements and then domain users can get analysis results. The BIM data validation module needs to be developed in each BIM application domain.

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A study on the Information for the Schedule Management of the Construction based BIM (BIM기반 건설공사 일정관리를 위한 정보에 관한 연구)

  • Park, So-Hyun;Song, Jeong-Hwa;Oh, Kun-Soo
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.555-564
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    • 2015
  • Since the size of the construction project has become massive, complicated and specialized, the use for a substantial amount of information provided from diverse participants is considered important. Schedule information obtained from a variety of sources is key during the construction project. Misunderstanding of schedule management information causes delay of construction period and low quality of construction. Currently, interest in BIM (Building Information Modeling) that produces the necessary data for the entire life cycle of the building process is rising. The study is to construct the BIM-base-information system in order to systematically manage schedule information of the construction work. For this purpose, the study established a BIM-base-schedule-management-business process and drew a classification system for the work for schedule-information construction. The study also drew information that can be extracted from the BIM model among properties required to build certain information. The schedule is made upon consideration of information needed for schedule management, and information required to schedule a timeline of the construction project by process is established.

A Semi-automated Method to Extract 3D Building Structure

  • Javzandulam, Tsend-Ayush;Kim, Tae-Jung;Kim, Kyung-Ok
    • Korean Journal of Remote Sensing
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    • v.23 no.3
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    • pp.211-219
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    • 2007
  • Building extraction is one of the essential issues for 3D city modelling. In recent years, high-resolution satellite imagery has become widely available and it brings new methodology for urban mapping. In this paper, we have developed a semi-automatic algorithm to determine building heights from monoscopic high-resolution satellite data. The algorithm is based on the analysis of the projected shadow and actual shadow of a building. Once two roof comer points are measured manually, the algorithm detects (rectangular) roof boundary automatically. Then it estimates a building height automatically by projecting building shadow onto the image for a given building height, counting overlapping pixels between the projected shadow and actual shadow, and finding the height that maximizes the number of overlapping pixels. Once the height and roof boundary are available, the footprint and a 3D wireframe model of a building can be determined. The proposed algorithm is tested with IKONOS images over Deajeon city and the result is compared with the building height determined by stereo analysis. The accuracy of building height extraction is examined using standard error of estimate.

A Proposal for Using BIM Model Created in Design to Construction Phase - Case Study on preconstruction adopting BIM - (건축 설계 BIM 모델의 시공단계 활용성 향상을 위한 BIM 운영 방안 제시 - 시공전단계 BIM 적용 사례를 중심으로 -)

  • Yoon, Su-Won;Kim, Seong-ah;Choi, Jong-Moon;Keum, Dae-Youn;Jo, Chan-Won
    • Journal of KIBIM
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    • v.5 no.4
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    • pp.1-10
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    • 2015
  • In order to apply the BIM technology effectively and efficiently during the life-cycle of project, it is important to deliver a accurate information on BIM from designer, and it should be used effectively at construction or maintenance stage. However, stakeholders have created a new BIM model at each phase in many practise adopting BIM, not used BIM generated in design stage. Because they have different purposes for using BIM, and deliver the BIM model without the sufficient explanation or application. It is necessary to define the range of usable BIM in construction phase with analyzing clearly the BIM created in design phase, and determining the difference with required BIM in construction phase. Therefore, this study propose a method for construction c

열거식분류표가 지향하는 조합식분류에 대한 고찰 - DDC를 중심으로

  • 정해성
    • Journal of Korean Library and Information Science Society
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    • v.24
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    • pp.449-484
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    • 1996
  • The purpose of this study is to analyze the structural model of classification, to compare enumerative schemes with faceted schemes and finding the facted schems used in the Dewey Decimal Classification. The Structural model of classifications can be divided to enumerrative schemes and facted schemes(analytico-synthetic schemes). Enumerative schemes represent the various kind of subject in different ways and have to not only list all existing combinations of subjects but also any of potential subjects. Faceted schemes is the decomposition of concepts into all possible characteristics which are known as facets. DDC was originally created as enumerative, but over 20 editions has moved increasing towards synthetic features such as the add instructions, and the seven auxiliary tables. Many DDC class numbers found in the Schedules may be subdivied by another number(or part of it) that has been drawn from the Schedules or auxiliary tables. This process of subdividing class numbers is called number building and it can be done only when there are number building instruction in the Schedules or Tables.

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A Study on Artificial Intelligence Learning Data Generation Method for Structural Member Recognition (구조부재 인식을 위한 인공지능 학습데이터 생성방법 연구)

  • Yoon, Jeong-Hyun;Kim, Si-Uk;Kim, Chee-Kyeong
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.229-230
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    • 2022
  • With the development of digital technology, construction companies at home and abroad are in the process of computerizing work and site information for the purpose of improving work efficiency. To this end, various technologies such as BIM, digital twin, and AI-based safety management have been developed, but the accuracy and completeness of the related technologies are insufficient to be applied to the field. In this paper, the learning data that has undergone a pre-processing process optimized for recognition of construction information based on structural members is trained on an existing artificial intelligence model to improve recognition accuracy and evaluate its effectiveness. The artificial intelligence model optimized for the structural member created through this study will be used as a base technology for the technology that needs to confirm the safety of the structure in the future.

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Preliminary Study on Generating Three-Dimensional Floor Layout of Construction Sites (건설 시공 현장 3차원 층 단위 레이아웃 생성 모델 기초 연구)

  • Hong, Sungwon;Kim, Taejin;Park, Jiwon;Lee, Soohyoung;Kim, Taehoon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.285-286
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    • 2023
  • The visualization of information serves as a valuable tool for facilitating communication and exchange of opinions among stakeholders by conveying information in an intuitive and clear manner. As a preliminary study of visualization for construction field, this study proposed a model for generating three-dimensional floor layout using 360-degree panoramic cameras. The model integrates the layouts by calculating normal vectors of the plane which has openings, and applying translation and rotation matrices between the normal vectors. The results of this study can contribute to improving communication in construction sites by incorporating visualization, and further to the digital transformation of the construction industry.

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Construction site disaster risk analysis method Using big data Considering individual work units of construction partner company (협력업체 작업 단위를 고려한 빅데이터 기반 건설현장 재해위험도 분석 방안)

  • Choi, Hochang;Lee, Jung-chul
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.265-266
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    • 2023
  • Recently, many disasters have occurred due to poor management of construction site. In addition, as legal regulations on safety management at construction sites are strengthened, its importance is being further emphasized. In relation to smart safety management technology, a study was introduced to build an analysis model through various safety-related data collected within construction companies. This model derives quantitative disaster risk about the site level through information related to past disasters and near misses. However, construction work is performed separately by work group of each partner company. There is a limitation in that individual workers cannot directly experience this analysis information. In this study, we propose a method to derive the safety disaster risk of individual work units from disaster risk of the site level. We expect that this study to be helpful for smart safety management technology of construction sites.

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On-line Recognition of Cursive Korean Characters Based on Hidden Markov Model and Level Building (은닉 마르코프 모델과 레벨 빌딩 알고리즘을 이용한 흘림체 한글의 온라인 인식)

  • Kim, Sang-Gyun;Kim, Gyeong-Hyeon;Lee, Jong-Guk;Lee, Jae-Uk;Kim, Hang-Jun
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.5
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    • pp.1281-1293
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    • 1996
  • In this paper, we propose a novel recognition model of on-line cursive Korean characters using HMM(Hidden Markov Model) and level building algorithm. The model is constructed as a form of recognition network with HMM for graphemes and Korean combination rules. Though the network is so flexible as to accomodate variability of input patterns, it has a problem of recognition speed caused by 11, 172 search paths. To settle the problem, we modify the level building algorithm to be adapted directly to the Korean combination rules and apply it to the model. The modified algorithm is efficient network search procedure time complexity of which depends on the number of HMMs for each grapheme, not the number of paths in the extensive recognition network. A test with 15, 000 hand written characters shows recognition rat 90% and speed of 0.72 second per character.

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