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Antunes, R, González, V A, Walsh, K, Rojas, O, O’Sullivan, M and Odeh, I (2018) Benchmarking Project-Driven Production in Construction Using Productivity Function: Capacity and Cycle Time. Journal of Construction Engineering and Management, 144(03).

Atherinis, D, Bakowski, B, Velcek, M and Moon, S (2018) Developing and Laboratory Testing a Smart System for Automated Falsework Inspection in Construction. Journal of Construction Engineering and Management, 144(03).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001439
  • Abstract:
    The procedure of falsework inspection has the potential for improvements in accuracy and time efficiency. The current process of inspection is often time-consuming and there is a potential for human error that could lead to undesirable outcomes. This paper presents an innovative smart system with the purpose of achieving an automation in falsework inspection. The system is basically a combination of radio frequency identification (RFID) with a virtual three-dimensional (3D) model that is represented by the AutoCAD 360 drawing viewer on a mobile device. Member identification is to be addressed by the RFID component, while the virtual model is expected to enable more accurate positional identification of members within the entire falsework configuration. A mock-up formwork structure was assembled in order to test this developed system. RFID was found to identify members significantly faster (5.6 s as an average) than by inspecting manually (33.2 s as an average) during 20 demonstrations. Simultaneously, higher inspection accuracy of 96.2% compared to 91.5% was achieved by inspecting manually. However, the smart technology option for component positioning did not have expected results and was less efficient than the currently practiced method. This shows that there is a potential in implementing one of the previous technologies while the other still requires further development before it would be applied to the inspection process. The primary contribution of the research lies in demonstrating the true value of the tangible smart system in an actual situation. In short, it enabled showing its effectiveness during the quantification, but still needs more work in its positioning.

Castillo, T, Alarcón, L F and Salvatierra, J L (2018) Effects of Last Planner System Practices on Social Networks and the Performance of Construction Projects. Journal of Construction Engineering and Management, 144(03).

Chiang, Y, Wong, F K and Liang, S (2018) Fatal Construction Accidents in Hong Kong. Journal of Construction Engineering and Management, 144(03).

Darwish, M, Elsayed, A Y and Nassar, K (2018) Design and Constructability of a Novel Funicular Arched Steel Truss Falsework. Journal of Construction Engineering and Management, 144(03).

Huo, T, Ren, H, Cai, W, Shen, G Q, Liu, B, Zhu, M and Wu, H (2018) Measurement and Dependence Analysis of Cost Overruns in Megatransport Infrastructure Projects: Case Study in Hong Kong. Journal of Construction Engineering and Management, 144(03).

Jang, W, Yu, G, Jung, W, Kim, D and Han, S H (2018) Financial Conflict Resolution for Public-Private Partnership Projects Using a Three-Phase Game Framework. Journal of Construction Engineering and Management, 144(03).

Liao, P, Shi, H, Su, Y and Luo, X (2018) Development of Data-Driven Influence Model to Relate the Workplace Environment to Human Error. Journal of Construction Engineering and Management, 144(03).

Shrestha, P and Behzadan, A H (2018) Chaos Theory–Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation. Journal of Construction Engineering and Management, 144(03).

Tatum, C B ( (2018) Construction Engineering Research: Integration and Innovation. Journal of Construction Engineering and Management, 144(03).

Tatum, C B ( (2018) Learning Construction Engineering: Why, What, and How?. Journal of Construction Engineering and Management, 144(03).