Peer Reviewed Publications

Title	Year	Description	Download File
Constructing Invariant Signatures for AEC Objects to Support BIM-Based Analysis Automation through Object Classification	2022	Appears in Journal of Computing in Civil Engineering In order to support seamless interoperability of BIM applications, the authors have proposed invariant signatures that uniquely define each AEC object and capture their intrinsic properties. In this paper, the authors combine the use of invariant signatures together with machine learning approach to address BIM object classification. Results show that the use of proposed invariant signatures and machine learning algorithms in BIM applications is promising.	https://doi.org/10.1061/(ASCE)CP.1943-5487.0001012
Model Validation Using Invariant Signatures and Logic-Based Inference for Automated Building Code Compliance Checking	2022	Appears in Journal of Computing in Civil Engineering The authors propose a new method for BIM model validation to validate an input Industry Foundation Classes (IFC) model with regard to building code concepts. This validation method was supported by creating invariant signatures of architecture, engineering, and construction objects that capture the geometric nature of the objects.	https://doi.org/10.1061/(ASCE)CP.1943-5487.0001002
Framework for Developing IFC-Based 3D Documentation from 2D Bridge Drawings	2022	Appears in Journal of Computing in Civil Engineering This paper proposes a framework for automatically processing existing 2D bridge drawings for bridges built pre-BIM adoption in the architecture, engineering, and construction industry; converting these record drawings into three-dimensional (3D) information models; and converting 3D information models into industry foundation class (IFC) files.	https://doi.org/10.1061/(ASCE)CP.1943-5487.0000986
Risk-Managed Lifecycle Costing for Asphalt Road Construction and Maintenance Projects under Performance-Based Contracts	2016	Appears in ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems A risk management tool can provide contractors with a better understanding of the most probable sensitive risks that they may encounter during the construction and maintenance phases with the emphasis on the ranges of risks they can take or the contingencies they need.	https://ascelibrary.org/doi/10.1061/AJRUA6.0000888