Mark the Official Completion Date of My First NSF Project (Go BIM Interoperability!)

For Memory and History: Today is the official completion date of my first National Science Foundation (NSF) research project - NSF award CMMI #1745374 (PI); $138,008; 08/24/2017-08/31/2020; EAGER/Collaborative Research: Science-Based Exploration of Invariant Signatures of Architecture/Engineering/Construction Objects to Enable Interoperability of Building Info Modeling. I am deeply Thankful for the support of NSF, my school and college at Purdue University, and hard work of students in my AutoIC Lab and our collaborators. Go Boilers!

Intellectual Merit: This EAGER project scientifically and empirically studied the intrinsic properties and discovered invariant signatures of AEC objects for supporting seamless and universal interoperability of BIM. Broader Impacts: This research has the potential to transform the way future BIM standards are developed and used to support seamless and universal interoperability of BIM among all modeling and engineering analysis tasks, ultimately lead to: (1) seamless and universal interoperability of BIM; (2) full automation of BIM analysis; and (3) optimized specifications of material selections for future construction in different environments. Publications Resulting from Award: Wu and Zhang (2018; 2019a, b), Wu et al. (2020), Zhang (2018), Zhang et al. (2019); Ren et al. (2018); Ren and Zhang (2019), Akanbi et al. (2019, 2020). All published work are accessible from my website (Publications & Presentations tab) as well as in NSF Public Access Repository. Intellectual Property Resulting from Award: Patent Pending on BIM Technology (Non-Provisional #68094-02 Filed Sept. 17, 2019 through Purdue Research Foundation; Provisional #62/732,033 Filed Sept. 18th, 2018 through Purdue Research Foundation).

Publications resulting from the award:

Wu, J., and Zhang, J. (2018). “Automated BIM object classification to support BIM interoperability.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, 706-715. 

Wu, J., and Zhang, J. (2019a). “New automated BIM object classification method to support BIM interoperability.” Journal of Computing in Civil Engineering, 33(5), 04019033.

Wu, J., and Zhang, J. (2019b). “Introducing geometric signatures of architecture, engineering, and construction objects and a new BIM dataset.” Proc., 2019 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston, VA, 264-271.

Wu, J., Sadraddin, H.L., Ren, R., Zhang, J., and Shao, X. (2020). “Invariant signatures of architecture, engineering, and construction objects to support BIM interoperability between architectural design and structural analysis.” J. Constr. Eng. Manage., accepted.

Zhang, J. (2018). “Towards systematic understanding of geometric representations in BIM standard: an empirical data-driven approach.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, 96-105. 

Zhang, J., Chen, Y., Liu, R., and Debs, L. (2019). “Cartesian points visualization in game simulation for analyzing geometric representations of AEC objects in IFC.” Proc., 36th Intl. Symposium on Automation and Robotics in Construction (ISARC 2016), I.A.A.R.C., iaarc.org., paper 38.

Ren, R., Zhang, J., and Dib, H.N. (2018). “BIM interoperability for structural analysis.” Proc., ASCE Construction Research Congress, ASCE, Reston, VA, 470-479.

Ren, R., and Zhang, J. (2019). “Model information checking to support interoperable BIM usage in structural analysis.” Proc., 2019 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston, VA, 361-368.

Akanbi, T., Zhang, J., and Lee, Y.C. (2019). “Automated item matching and pricing (IMP) for wood building elements to support BIM-based wood construction cost estimation.” Proc., 2019 ASCE International Conference on Computing in Civil Engineering, ASCE, Reston, VA, 402-409.

Akanbi, T., Zhang, J., and Lee, Y.C. (2020). “Data-driven reverse engineering algorithm development (D-READ) method for developing interoperable quantity takeoff algorithms using IFC-based BIM.” Journal of Computing in Civil Engineering, 34(5), 04020036.

https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745374&HistoricalAwards=false