Username   Password       Forgot your password?  Forgot your username? 


Architectural Design Model based on BIM Management System Model and Data Mining

Volume 14, Number 11, November 2018, pp. 2574-2580
DOI: 10.23940/ijpe.18.11.p3.25742580

Tiandong Shaoa and Chunming Zhangb

aKunming University of Science and Technology Design and Research Institute, Kunming, 650051, China
bYunnan Arts University, Kunming, 650051, China

(Submitted on August 14, 2018; Revised on September 12, 2018; Accepted on October 16, 2018)


An empirical study of the architectural design model based on the BIM management system model and data mining is carried out. Combined with the current code for the design of building structures, a two-level hybrid optimization algorithm is proposed. The optimal design of the structure is divided into two levels: unit optimization and overall stiffness optimization. First, the result of the overall stiffness optimization is taken as the lower limit. The genetic algorithm is used to complete the structural strength optimization design, and then the result of the unit optimization is used as the lower limit. The above optimization algorithm is implemented on large finite meta-software and special software for building structure design. The tall building structure of the two-story is optimized, and the result shows that the proposed method is effective and operational.


References: 20

                  1. M. Kim, S. Ji, and H. Jun, “BIM-based File Synchronization and Permission Management System for Architectural Design Collaboration,” Journal of Asian Architecture & Building Engineering, Vol. 16, No. 3, pp. 511-518, September 2017
                  2. K. Rutten, J. De Baerdemaeker, J. Stoev, M. Witters, and B. De Ketelaere, “Constrained Online Optimization Using Evolutionary Operation: A Case Study About Energy‐Optimal Robot Control,” Quality & Reliability Engineering International, Vol. 31, No. 6, pp. 1079-1088, June 2015
                  3. Y. Mo, X. Chen, and Y. Ou, “Study on Network Assisted the Teaching of Histology and Embryology,” China Higher Medical Education, No. 5, pp. 11-12, 2012
                  4. Y. Lin, C. Wang, C. Ma, Z. Dou, and X. Ma, “A New Combination Method for Multisensor Conflict Information,” Journal of Supercomputing, Vol. 72, No. 7, pp. 2874-2890, July 2016
                  5. A. Malathi and B. S. Santhosh, “An Enhanced Algorithm to Predict a Future Crime Using Data Mining,” International Journal of Computer Applications, Vol. 21, No. 1, pp. 1-6, May 2011
                  6. H. W. Jeon, K. H. Choi, S. J. Lee, and S. J. Park, “Development of BIM based BIPV Architectural Design Environment,” Kieae Journal, Vol. 18, No. 1, pp. 71-82, February 2018
                  7. G. Helmer, J. S. K. Wong, V. G. Honavar, L. Miller, and Y. Wang, “Lightweight Agents for Intrusion Detection,” Journal of Systems and Software, Vol. 67, No. 2, pp. 109-122, August 2003
                  8. Y. T. Gokuc and D. Arditi, “Adoption of BIM in Architectural Design Firms,” Architectural Science Review, Vol. 60, No. 6, pp. 483-492, October 2017
                  9. H. Li, “51 Research on the Application of Microteaching Method in the Collective Course Teaching of Chorus Conducting in Universities,” Revista de la Facultad de Ingeniería, Vol. 32, No. 9, pp. 360-364, 2017
                  10. Y. Zou, S. W. Jones, and A. Kiviniemi, “Developing a Tailored RBS Linking to BIM for Risk Management of Bridge Projects,” Engineering Construction & Architectural Management, Vol. 23, No. 6, pp. 727-750, October 2016
                  11. M. L. Othman, I. Aris, M. R. Othman, and H. Osman, “Rough-Set-and-Genetic-Algorithm based Data Mining and Rule Quality Measure to Hypothesize Distance Protective Relay Operation Characteristics from Relay Event Report,” International Journal of Electrical Power & Energy Systems, Vol. 33, No. 8, pp. 1437-1456, October 2011
                  12. M. J. Huang, M. Y. Chen, and H. S. Huang, “Constructing a Personalized E-Learning System based on Genetic Algorithm and Case-based Reasoning Approach,” Expert Systems with Applications, Vol. 33, No. 3, pp. 551-564, October 2007
                  13. K. H. Raviya and B. Gajjar, “Performance Evaluation of Different Data Mining Classification Algorithm Using WEKA,” Indian Journal of Research, Vol. 2, No. 1, pp. 19-21, January 2013
                  14. D. Miller, “Putting BIM at the Heart of a Small Practice,” Architectural Design, Vol. 87, No. 3, pp. 42-47, June 2017
                  15. E. W. Sun and T. Meinl, “A New Wavelet-based Denoising Algorithm for High-Frequency Financial Data Mining,” European Journal of Operational Research, Vol. 217, No. 3, pp. 589-599, March 2012
                  16. S. J. Woo, “Developing a Prototype of Green BIM -based Integrated Design Systems for Small Architectural Design Firms,” International Journal of Contents, Vol. 12, No. 1, pp. 6-13, March 2016
                  17. J. H. Shin, J. S. Choi, and I. H. Kim, “Development of IT BSC-based Assessment System to Measure BIM Performance for Architectural Design Firms,” Journal of the Architectural Institute of Korea Planning & Design, Vol. 32, No. 1, pp. 3-12, January 2016
                  18. Q. Wu, Y. Li, and Y. Lin, “The Application of Nonlocal Total Variation in Image Denoising for Mobile Transmission,” Multimedia Tools & Applications, Vol. 76, No. 16, pp. 1-13. August 2016
                  19. X. Wei, “68 Strategy and Path Analysis of Choral Command Teaching in Colleges and Universities,” Boletín Técnico, Vol. 55, No. 19, pp. 466-470, 2017
                  20. J. Son and J. Ock, “A Study on Measurement Method of BIM ROI in Architectural Design Firm,” Korean Journal of Computational Design & Engineering, Vol. 21, No. 3, pp. 267-280, 2016


                                  Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                                  This site uses encryption for transmitting your passwords.