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Behm, M (2012) Safe Design Suggestions for Vegetated Roofs. Journal of Construction Engineering and Management, 138(08), 999–1003.

Dewlaney, K S, Hallowell, M R and Fortunato, B R (2012) Safety Risk Quantification for High Performance Sustainable Building Construction. Journal of Construction Engineering and Management, 138(08), 964–71.

Elghamrawy, T, El-Rayes, K, Liu, L and Odeh, I (2012) Performance of Temporary Rumble Strips at the Edge of Highway Construction Zones. Journal of Construction Engineering and Management, 138(08), 923–30.

Esmaeili, B and Hallowell, M R (2012) Diffusion of Safety Innovations in the Construction Industry. Journal of Construction Engineering and Management, 138(08), 955–63.

Ikpe, E, Hammon, F and Oloke, D (2012) Cost-Benefit Analysis for Accident Prevention in Construction Projects. Journal of Construction Engineering and Management, 138(08), 991–8.

Kim, B, Lee, H, Park, H and Kim, H (2012) Greenhouse Gas Emissions from Onsite Equipment Usage in Road Construction. Journal of Construction Engineering and Management, 138(08), 982–90.

Nassar, K and Hosny, O (2012) Solving the Least-Cost Route Cut and Fill Sequencing Problem Using Particle Swarm. Journal of Construction Engineering and Management, 138(08), 931–42.

Porwal, A and Hewage, K N (2012) Building Information Modeling–Based Analysis to Minimize Waste Rate of Structural Reinforcement. Journal of Construction Engineering and Management, 138(08), 943–54.

  • Type: Journal Article
  • Keywords: Building information models; Structure reinforcement; Construction materials; Communication; Optimization; Building information modeling; Waste management; Material management; Communication; Optimization;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000508
  • Abstract:
    Building information modeling (BIM) is an emerging tool in architecture/engineering/construction (A/E/C) industry that is used to design, document, and enhance communication among all the project stakeholders. Trim loss of rebar can be minimized with the use of discrete bars. To achieve this goal, a model to analyze reinforced concrete structure with one-dimensional (1D) cutting waste-optimization technique, integrated with BIM, is proposed. Building information modeling is selected as the hub in communicating project information among diverse design teams. This process permits project teams to utilize BIM models to simulate architectural and structural design requirements, and compare results speedily to make necessary changes in the designs to minimize rebar waste. The BIM rebar optimization analysis approach also supports cost-effective decision making during the design process. The proposed approach was validated with a two-story reinforced concrete structure, and the results indicated a high potential for budgetary savings. The proposed approach is also applicable for complex reinforced concrete construction projects, with repeated structural elements, and cost saving increases with the increase in the diameter of rebar.

Tatari, O and Kucukvar, M (2012) Sustainability Assessment of U.S. Construction Sectors: Ecosystems Perspective. Journal of Construction Engineering and Management, 138(08), 918–22.

Taylor, T R B, Ford, D N and Reinschmidt, K F (2012) Impact of Public Policy and Societal Risk Perception on U.S. Civilian Nuclear Power Plant Construction. Journal of Construction Engineering and Management, 138(08), 972–81.