Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 7 results ...
Lam, E W, Chan, A P and Chan, D W (2008) Determinants of Successful Design-Build Projects. Journal of Construction Engineering and Management, 134(05), 333–41.
Mao, X and Zhang, X (2008) Construction Process Reengineering by Integrating Lean Principles and Computer Simulation Techniques. Journal of Construction Engineering and Management, 134(05), 371–81.
Ozorhon, B, Arditi, D, Dikmen, I and Birgonul, M T (2008) Implications of Culture in the Performance of International Construction Joint Ventures. Journal of Construction Engineering and Management, 134(05), 361–70.
Shapira, A, Rosenfeld, Y and Mizrahi, I (2008) Vision System for Tower Cranes. Journal of Construction Engineering and Management, 134(05), 320–32.
Yang, I (2008) Distribution-Free Monte Carlo Simulation: Premise and Refinement. Journal of Construction Engineering and Management, 134(05), 352–60.
Yousefi, S, Hegazy, T, Capuruço, R A and Attalla, M (2008) System of Multiple ANNs for Online Planning of Numerous Building Improvements. Journal of Construction Engineering and Management, 134(05), 342–51.
Zhang, C, Zayed, T and Hammad, A (2008) Resource Management of Bridge Deck Rehabilitation: Jacques Cartier Bridge Case Study. Journal of Construction Engineering and Management, 134(05), 311–9.
- Type: Journal Article
- Keywords: Simulation; Bridge decks; Optimization; Costs; Resource management; Rehabilitation; Canada;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:5(311)
- Abstract:
The condition and performance of bridges vary widely across North America. The large amount of expenditures on bridges needs significant efforts to optimize budget and resource allocation and to select the best rehabilitation or replacement method, which reduces project cost and duration. Simulation has been widely used in the construction area to optimize productivity and resource allocation. Current research optimizes resource combination for bridge deck rehabilitation projects using discrete event simulation. The Jacques Cartier Bridge redecking project is selected as a case study. Data related to productivity and duration of different activities were collected from the project. Probability distributions are fitted, which show the robustness of normal distribution to fit most variables. A simulation model is developed for this project in order to experiment with and perform sensitivity analysis. Based on the simulation results, an optimum resource combination of deck rehabilitation is obtained, which is [five teams, two saws, three old section trucks, and five new panel trucks] TSON 5235 with the unit (panel) cost of