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Allmon, E, Haas, C T, Borcherding, J D and Goodrum, P M (2000) U.S. Construction Labor Productivity Trends, 1970–1998. Journal of Construction Engineering and Management, 126(02), 97–104.
Anderson, S D, Fisher, D J and Rahman, S P (2000) Integrating Constructability into Project Development: A Process Approach. Journal of Construction Engineering and Management, 126(02), 81–88.
Barraza, G A, Back, W E and Mata, F (2000) Probabilistic Monitoring of Project Performance Using SS-Curves. Journal of Construction Engineering and Management, 126(02), 142–8.
Carr, R I (2000) . Journal of Construction Engineering and Management, 126(02), 105–13.
Carr, R I (2000) . Journal of Construction Engineering and Management, 126(02), 114–21.
Dunston, P S and Bernold, L E (2000) Adaptive Control for Safe and Quality Rebar Fabrication. Journal of Construction Engineering and Management, 126(02), 122–9.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2000)126:2(122)
- Abstract:
Rebar fabrication is a labor intensive operation that uses scrap or “trash” steel for raw materials and therefore can benefit greatly from improvements in safety, productivity, and quality. Shared control through a human-machine interface may be the best alternative for achieving highest quality standards and improving worker performance in safety and productivity. This paper develops a control scheme for automated rebar bending within the framework of computer integrated construction and presents research focused on the task level control to compensate for springback in the bent rebar. Three major problems are addressed: (1) Conception of a hierarchical computer integrated construction control structure that links rebar fabrication to the other construction project functions: (2) comparative evaluation of alternative algorithms for prediction of springback; and (3) portability of a springback control model that uses real-time electronic sensing. Bending tests were conducted with both a laboratory prototype and an actual shop table bender to experiment with alternative models for in-process springback prediction including a neural network model. Limitations in control system portability were realized in the transfer from the laboratory prototype bender to the shop bender. Springback model evaluations revealed that empirical statistical models, neural networks, and in-process relaxation performed equally well.
Elazouni, A M and El-Razek, M E A (2000) Adapting Lift-Slab Technology to Construct Submerged Pile Caps. Journal of Construction Engineering and Management, 126(02), 149–57.
Fisher, D J, Anderson, S D and Rahman, S P (2000) Integrating Constructability Tools into Constructability Review Process. Journal of Construction Engineering and Management, 126(02), 89–96.
Kang, L S and Paulson, B C (2000) Information Classification for Civil Engineering Projects by Uniclass. Journal of Construction Engineering and Management, 126(02), 158–67.
Mak, S and Picken, D (2000) Using Risk Analysis to Determine Construction Project Contingencies. Journal of Construction Engineering and Management, 126(02), 130–6.
McKim, R, Hegazy, T and Attalla, M (2000) Project Performance Control in Reconstruction Projects. Journal of Construction Engineering and Management, 126(02), 137–41.