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Chen, Q, Reichard, G and Beliveau, Y (2010) Object Model Framework for Interface Modeling and IT-Oriented Interface Management. Journal of Construction Engineering and Management, 136(02), 187–98.

Dai, F and Lu, M (2010) Assessing the Accuracy of Applying Photogrammetry to Take Geometric Measurements on Building Products. Journal of Construction Engineering and Management, 136(02), 242–50.

Ding, Z and Ng, F (2010) Personal Construct-Based Factors Affecting Interpersonal Trust in a Project Design Team. Journal of Construction Engineering and Management, 136(02), 227–34.

Goh, Y M and Chua, D K H (2010) Case-Based Reasoning Approach to Construction Safety Hazard Identification: Adaptation and Utilization. Journal of Construction Engineering and Management, 136(02), 170–8.

Hanna, A S and Skiffington, M A (2010) Effect of Preconstruction Planning Effort on Sheet Metal Project Performance. Journal of Construction Engineering and Management, 136(02), 235–41.

Hasan, S, Al-Hussein, M, Hermann, U H and Safouhi, H (2010) Interactive and Dynamic Integrated Module for Mobile Cranes Supporting System Design. Journal of Construction Engineering and Management, 136(02), 179–86.

  • Type: Journal Article
  • Keywords: Cranes; Foundation design; Construction industry; Mat; Truck crane; Crawler crane; Module; Crane selection; Supporting reaction; Influence chart; Foundation design;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000121
  • Abstract:
    Analyzing and designing a crane supporting system can be time-consuming process. In particular, the dynamic nature of mobile crane operations entails a variety of reaction values for truck and crawler cranes. The platform of a mobile crane can either be set on outriggers—denoted as a truck crane, or on a crawler tracks—denoted as a crawler crane. Designing of a mobile crane supporting system depends on the lifting configuration, type of crane and the type of materials to be used under the crane outriggers or crawler tracks. This paper presents an automated system which is designed to assist practitioners in calculating the mobile crane’s support reactions and in designing the supporting system. This system is developed such that it can generate a 2D reaction influence chart which shows the reactions for each outrigger at varying horizontal swing angles and vertical boom angles to the ground. Most of the geometric configurations needed to perform the support design are not ordinarily given in crane manufacturer’s manual and to address this deficiency, this newly developed system has been integrated with a previously developed crane database which contains information on widely used mobile cranes for construction along with a crane selection system. A case example is described in order to demonstrate the use and effectiveness of the presented system in automating crane lift analysis.

Iyer, K C and Sagheer, M (2010) Hierarchical Structuring of PPP Risks Using Interpretative Structural Modeling. Journal of Construction Engineering and Management, 136(02), 151–9.

Jin, X (2010) Determinants of Efficient Risk Allocation in Privately Financed Public Infrastructure Projects in Australia. Journal of Construction Engineering and Management, 136(02), 138–50.

Kim, J and Ellis, R D (2010) Comparing Schedule Generation Schemes in Resource-Constrained Project Scheduling Using Elitist Genetic Algorithm. Journal of Construction Engineering and Management, 136(02), 160–9.

Mitropoulos, P and Guillama, V (2010) Analysis of Residential Framing Accidents, Activities, and Task Demands. Journal of Construction Engineering and Management, 136(02), 260–9.

Moussourakis, J and Haksever, C (2010) Project Compression with Nonlinear Cost Functions. Journal of Construction Engineering and Management, 136(02), 251–9.

Rasdorf, W, Grasso, B and Bridgers, M (2010) Public versus Private Perceptions on Hiring an External Program Manager. Journal of Construction Engineering and Management, 136(02), 219–26.

Tserng, H P, Yin, S Y L, Skibniewski, M J and Lee, M H (2010) Developing an ARIS-House-Based Method from Existing Information Systems to Project-Based Enterprise Resource Planning for General Contractor. Journal of Construction Engineering and Management, 136(02), 199–209.

Zhu, Z and Brilakis, I (2010) Machine Vision-Based Concrete Surface Quality Assessment. Journal of Construction Engineering and Management, 136(02), 210–8.