الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
The increased interest in using Building Information Modeling (BIM)in detailed construction cost estimates calls for methodologies to evaluate the effectiveness of BIM-Assisted Detailed Estimating (BADE) tools in generating detailed construction cost estimates. This research conducts with a goal of better understanding, how the visualization functions affect the detailed cost estimate and how the combination of visualization and aggregation functions affect the detailed cost estimate.In order to achieve this goal, two cases study were tested:- The first case study is a Building Information Model (BIM): The presented case is a four-storey building, its area is 500 m2, located in Damietta governorate, Egypt.- The second case study is a Bridge Information Model (BrIM): The presented case is a bridge, its length is 170 m, located in Albeherah governorate, Egypt.Three methods were applied on each case study- The first method is the traditional method using 2D AutoCAD drawings and MS Excel Spreadsheet- The second method is BADE tools without a calculation function, using Revit Structures Software, IFC Viewer for the first case study and Tekla Structures Software, Navisworks Manage software for the second case study.- The third method is BADE tools with calculation functions, using Revit Structure Software, IFC Viewer-Database-Excel (IVDE) prototype tool developed for the first case study and Tekla Structures Software, Navisworks Manage Software, Database-Excel developed for the second case study, which provided functions for visualization and aggregated calculations of quantities.The results of the three methods was evaluated based on:- Evaluate the individual performance by using four parameters which is generality, flexibility, efficiency, and accuracy.- Evaluate the overall performance by using Multiple Attributes Utility-Function Model (MAUFM) which took into account the four individual parameters.The research concluded that the BIM-assisted estimate demonstrated better performance over traditional estimating methods. Both the visualization and aggregation functions of the BADE tool had significant impact on the performance of the detailed estimate.