Ghang Lee
Ph.D. Candidate, College
of Architecture, Georgia
Institute of Technology,
Atlanta, Georgia
Rafael Sacks, Ph.D.
Research Scientist, College
of Architecture, Georgia
Institute of Technology,
Atlanta, Georgia
Also, Lecturer, Faculty of Civil and
Environmental Engineering, Technion – Israel
Institute of Technology,
Haifa, Israel
Charles E. Eastman, Ph.D.
Professor and PhD Program Head, College of Architecture
Also, Professor, College of Computing, Georgia
Institute of Technology, Atlanta,
Georgia
Design professionals worldwide have applied the technology of
computer-aided design and drafting (CAD) on a broad scale, primarily to
increase the efficiency of manual design and drafting methods and to promote
standards, rather than to improve the process itself. Even with improvements in
the technology, however, errors in design and drafting remain common. Taking
the 2-D CAD technology further, the application of three-dimensional integrated
parametric modeling of precast buildings at the assembly and piece levels may
enable producers to greatly reduce design errors, resulting in significant
improvements in project quality, cost, and schedule. An examination of a number
of case studies of precast/prestressed concrete projects has revealed that the
common causes of construction problems are design, detailing, and drafting
errors, a lack of coordination between different disciplines, and inadequate
management of changes.
An analysis of the cases presented in this paper
indicates that the application of 3-D top-down modeling and automated production
of shop drawings holds the potential to eliminate most of the sources of error.
Although computer-aided drafting
has become prevalent in all branches of the construction industry, a
significant portion of construction dollars is still spent on correcting errors
made in the design stage. Building parts that do not align correctly, spatial
conflicts between components of different systems, and work that must be
demolished because drawings were not updated to reflect
design changes are among the common errors.
References
Arditi, D., Ergin, U., and Gunhan,
S., “Factors Affecting the Use of Precast Concrete Systems,” ASCE Journal of Architectural Engineering, V. 6, No. 3, 2000, pp.
79-86.
Eastman, C. M., Sacks, R., and Lee,
G., “Software Specification for a Precast Concrete Design and Engineering
Software Platform,” PCSC Research
Report, Georgia Institute of Technology, Atlanta, GA,
2001.
“PCI and CPCI Software Survey,”
Precast/Prestressed Concrete Institute, Chicago,
IL, 2001.
Tekla 2002. Tekla Xengineer 1.1,
www.tekla.com, Espoo, Finland.
Eastman, C. M., Building Product Models, CRC Press, Boca Raton, FL,
1999.
EDGE 2002, PTAC Consulting
Engineers, Pensacola, FL, 2002, http://www.ptac.com/software/index.html.
Love, P. E. D., Mandal, P., Smith,
J., and Li, H., “Modeling the Dynamics of Design Error Induced Rework in
Construction Projects,” Construction
Management and Economics Routledge, London, V. 18, No. 5, 2000, pp.
567-574.
Navon, R., Shapira, A., and
Shechori, Y., “Automated Rebar Constructibility Diagnosis,” ASCE Journal of Construction Engineering and Management, V. 126,
No. 5, September-October 2000, pp. 389-397.
Josephson, P. E., and Hammarlund,
Y., “The Causes and Costs of Defects in Construction: A Study of Seven Building
Projects,” Automation in Construction,
Elsevier, V. 8, 1999, pp. 681-687.
No comments:
Post a Comment