Journal of the Architectural Institute of Korea Structure & Construction (대한건축학회논문집:구조계)

Architectural Institute of Korea (대한건축학회)
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Evaluation and Improvement of Experiment Information Organization of Experiment Information Repository using Data Model

데이터 모델을 이용한 실험정보 저장소의 실험정보 구성 평가 및 개선

  • Lee, Chang-Ho (School of Architecture, Hankyong National University)
  • Received : 2017.02.26
  • Accepted : 2017.05.16
  • Published : 2017.06.30
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Abstract

The experiment information repository includes the information related with experiment projects. After the experiment information repository is implemented into a computer system and made to be accessible through the internet, the experiment information in the repository can be more easily used by engineers, compared with technical papers or experiment reports. This paper uses the classes and attributes of the data model to represent the organization of the experiment information of the experiment information repository, and presents some criteria to evaluate the usage of the classes and attributes for the experiment projects. The class usage ratio and the attribute usage ratio are useful to identify which part of the experiment information for each project is missing. The class family usage ratio helps to understand the information stored in the class including lower level classes. These evaluation criteria are applied into the NEES and KOCED repositories, and then some rules are proposed to improve the organization of the experiment information. An example of the rules is that the attribute of a class whose attribute usage ratio is low should be removed, or needs to be reorganized if the attribute includes at its lower level the class whose usage ratio is high. The usage evaluation criteria and the rules can be applied to develop other types of information repositories.

Keywords

References

  1. Hong, N. K., & Sause, R. (1994). Concepts and Notation for Integrated Structural Design: Product and Precess Models, ATLSS Report No. 94-13, Advanced Technology for Large Structural Systems (ATLSS) Center, Lehigh University, USA.
  2. Lee, C. (2010a). An Analysis of Development and Implementation Process of Data Models for Structural Experiment Information, Journal of the Architectural Institute of Korea, Structure & Construction, 26(7), pp.19-27.
  3. Lee, C. (2010b). Criteria for Evaluating Characteristics of Data Models for Structural Experiment Information, Journal of the Architectural Institute of Korea, Structure & Construction, 26(8), 29-38.
  4. Lee, C. (2013). Evaluation Criteria of Organizational Characteristics of Data Repositories for Structural Experiment Information, Journal of the Architectural Institute of Korea, Structure & Construction, 29(7), 55-64. https://doi.org/10.5659/JAIK_SC.2013.29.7.55
  5. Lee, C. (2015). Evaluation of Organization and Use of Data Model for Structural Experiment Information, Journal of the Computational Structural Engineering Institute of Korea, 28(6), 579-588. https://doi.org/10.7734/COSEIK.2015.28.6.579
  6. Lee, C., Chin, C. H., Marullo, T., Bryan, P., Sause, R., & Ricles, J. M. (2008). Data Model for Large-Scale Structural Experiment, Journal of Earthquake Engineering, 12, 115-139. https://doi.org/10.1080/13632460701299120
  7. Lee, C., Sause, R., & Hong, N. K. (1998). Overview of Entity-Based Integrated Design Product and Process Models, Advances in Engineering Software, 29(10), 809-823. https://doi.org/10.1016/S0965-9978(97)00065-3
  8. http://www.auric.or.kr Website for Architecture & Urban Research Information Center (AURIC).
  9. http://www.ceric.net Website for Civil Engineering Research Information Center (CERIC).
  10. http://www.koced.or.kr Website for the Korea Construction Engineering Development Collaboratory Management Institute (KOCED CMI).
  11. http://www.sacsteel.org/design Website for the SAC Steel Design Information, USA.
  12. https://nees.org Website for George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES), USA.
  13. https://nisee.berkeley.edu/spd/ Website for PEER Structural Performance Database, USA.
  14. https://www.designsafe-ci.org/ Website for the Natural Hazards Engineering Research Infrastructure (NHERI), USA.
  15. Peng, J., & Law, K. (2004). Reference NEESgrid data model, Technical Report NEESgrid-2004-40, George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES), USA.