Interactive and Dynamic Integrated Module for Mobile Cranes Supporting System Design
Publication: Journal of Construction Engineering and Management
Volume 136, Issue 2
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.
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Acknowledgments
The financial support of NSERC is gratefully acknowledged. The writers are also thankful to those who participated in this study and supported the research work. We are grateful to Sterling Crane, especially to Mr. Brian Gerbrandt for his time, effort, and valuable information.
References
Abudayyeh, O., Federicks, T., Palmquist, M., and N. Torres, H. (2003). “Analysis of occupational injuries and fatalities in electrical contracting industry.” J. Constr. Eng. Manage., 129(2), 152–158.
Al-Hussein, M. (1999). “An integrated system for crane selection and utilization.” Ph.D. thesis, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Canada.
Al-Hussein, M., Alkass, S., and Moselhi, O. (2000). “D-CRANE: Database system for utilization of cranes.” Can. J. Civ. Eng., 27, 1130–1138.
Al-Hussein, M., Alkass, S., and Moselhi, O. (2001). “An algorithm for mobile crane selection and location on construction sites.” Constr. Innovation, 1(2), 92–105.
Al-Hussein, M., Alkass, S., and Moselhi, O. (2005). “Optimization algorithm for selection and on site location of mobiles cranes.” J. Constr. Eng. Manage., 131(5), 579–590.
Ali, M. S. A. D., Babu, N. R., and Varghese, K. (2005). “Collision-free path planning of cooperative crane manipulators using genetic algorithm.” J. Comput. Civ. Eng., 19(2), 182–193.
Beavers, J. E., Moore, J. R., Rinehart, R., and Schriver, W. R. (2006). “Crane-related fatalities in the construction industry.” J. Constr. Eng. Manage., 132(9), 901–910.
craniMAX GmbH. (2009). CRANE MANAGER and TOM TOWER MANAGER: sofware for crane job site planning ⟨http://www.cranimax.com⟩.
Dharwadkar, P. V., Varghese, K., O’Connor, J. T., and Gatton, T. M. (1994). “Graphical visualization for planning heavy lifts.” Proc., 3rd Congress on Computing in Civil Engineering, K. Khozeimeh, ed., ASCE, New York, 759–766.
Hanna, A. S., and Lotfallah, W. B. (1999). “A fuzzy logic approach to the selection of cranes.” Autom. Constr., 8(5), 597–608.
Hornaday, W. C., Haas, C. T., O’Connor, J. T., and Wen, J. (1993). “Computer-aided planning for heavy lifts.” J. Constr. Eng. Manage., 119(3), 498–515.
Lin, K. L., and Haas, C. T. (1996). “Multiple heavy lifts optimization.” J. Constr. Eng. Manage., 122(4), 354–361.
Reddy, H. R., and Varghese, K. (2002). “Automated path planning for mobile crane lifts.” Comput. Aided Civ. Infrastruct. Eng., 17, 439–448.
Sawhney, A., and Mund, A. (2002). “Adaptive probabilistic neural network-based crane type selection system.” J. Constr. Eng. Manage., 128(3), 265–273.
Shapira, A., Lucko, G., and Schexnayder, C. J. (2007). “Cranes for building construction projects.” J. Constr. Eng. Manage., 133(9), 690–700.
Shapiro, H. I., Shapiro, J. P., and Shapiro, L. K. (1999). Cranes & derricks, 3rd Ed., McGraw-Hill, NewYork.
Sivakumar, P. L., Varghese, K., and Babu, N. R. (2003). “Automated path planning of cooperative cranes using heuristic search.” J. Comput. Civ. Eng., 17(3), 197–207.
Tamate, S., Suemasa, N., and Katada, T. (2005). “Analyses of instability in mobile cranes due to ground penetration by outriggers.” J. Constr. Eng. Manage., 131(6), 689–704.
Tantisevi, K., and Akinci, B. (2008). “Simulation-based identification of possible locations for mobile cranes on construction sites.” J. Comput. Civ. Eng., 22(1), 21–30.
Warszawski, A. (1990). “Expert system for crane selection construction.” Constr. Manage. Econom., 8, 179–190.
Zhang, P., Harris, F. C., Olomolaiye, P. O., and Holt, G. D. (1999). “Location optimization for a group of tower cranes.” J. Constr. Eng. Manage., 125(2), 115–122.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 136 • Issue 2 • February 2010
Pages: 179 - 186
Copyright
© 2010 ASCE.
History
Received: Mar 17, 2008
Accepted: Jul 7, 2009
Published online: Jan 15, 2010
Published in print: Feb 2010
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