A BIM-DATABASE-INTEGRATED SYSTEM FOR CONSTRUCTION COST ESTIMATION

This paper presents a building information modeling (BIM)-database-integrated system for estimating the construction costs of building projects. The proposed system consists of four main modules: (1) the relational database management module, (2) the visualized BIM-integrated module, (3) the cost estimation module, and (4) the BIM-integrated report module. The relational database management module is designed to store and update the necessary data, which are extracted from BIM models. The visualized BIM-integrated module assists users in visualizing the complex building elements while performing cost estimating. The cost estimation module computes construction cost components. It can also automatically adjust to the change of the building element parameters while estimating costs. This module can minimize human errors associated with manual data input and calculation. The BIM-integrated report module allows users to access and comprehend the results conveniently. As compared to traditional 2D CAD drawings, the proposed system offers a more efficient methodology for construction cost estimating through 3D models. It can also minimize time, costs, and errors in the cost estimating process for building procurement.

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An Assessment of the Accuracy of Cost Estimation Using Building Information Modeling in Design Process

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.291-294.2822 ◽

2013 ◽

Vol 291-294 ◽

pp. 2822-2825 ◽

Cited By ~ 2

Author(s):

Gwang Hee Kim ◽

Hyun Young Park ◽

Jae Min Shin

Keyword(s):

Design Process ◽

Cost Estimation ◽

Building Information Modeling ◽

Information Modeling ◽

Design Phase ◽

Cost Estimating ◽

Construction Market ◽

Building Information ◽

Causes Of Errors ◽

The Cost

The completion of the design drawing has not been credited in the construction market in Korea, and the modeling information of the design phase cannot be effectively used in an estimation process. Therefore, the objective of this study is to assess the cost estimating accuracy of a BIM tool in the design process to verify its applicability. Modeling was done for a building in an actual project to evaluate the applicability, from which the causes of errors of quantity take-off were derived.

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A RELATIONAL DATABASE MANAGEMENT SYSTEM FOR LIFE-CYCLE COST ANALYSIS OF BIM PROJECTS

Proceedings of International Structural Engineering and Construction ◽

10.14455/isec.res.2020.7(1).con-05 ◽

2020 ◽

Vol 7 (1) ◽

Author(s):

Veerarsak Likhitruangsilp ◽

Hang T. T. Le ◽

Nobuyoshi Yabuki ◽

Photios G. Ioannou

Keyword(s):

Life Cycle ◽

Data Management ◽

Relational Database ◽

Management System ◽

Database Management ◽

Database Management System ◽

Information Modeling ◽

Quality Data ◽

Relational Database Management System ◽

Relational Database Management

Life-cycle analysis (LCCA) has become a necessary tool for green procurement for construction projects in many countries. Calculating life-cycle costs (LCCs) requires a variety of data that need to be gathered from diverse sources throughout the project life span. This information is usually stored in paper-based documents and are not well organized. These practices cause poor-quality data, which lead to incorrect results. Consequently, current LCCA in practice is extremely challenging. Data management is a major component for executing this sustainable development concept. This paper develops a relational database management system (RDBMS) that can support in calculating the LCCs of building projects. The system is structured to manage a large volume of design and construction data in a multi-parametric form. This allows users to integrate the proposed system with other modern construction platforms, especially building information modeling (BIM). In this paper, Autodesk Revit, a most widely-used BIM software, is adopted for authoring BIM models of a building and estimating relevant costs. Microsoft Access is used for developing a database management system (DBMS), which is designed to collaborate with the BIM models for LCCA. The system can significantly expedite the LCCA for a building with minimal errors and mistakes in data management and accurate LCCs.

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