ERA Banner
Download Add to Cart Share
More Like This
  • http://hdl.handle.net/10048/1241
  • Crane lifting operation planning and lifted object spatial trajectory analysis
  • Olearczyk, Jacek
  • en
  • crane
    lifted object
    trajectory analysis
  • Jul 29, 2010 7:09 PM
  • Thesis
  • en
  • Adobe PDF
  • 16459258 bytes
  • Compact facility designs and retro-fitting of facilities that involve heavy lifts are often performed in congested areas. Tight schedules increase the requirement to provide detailed heavy lift analysis. The planning of every aspect of a critical lift operation is essential. Managing the behavior and trajectory of the lifted object during the lift is often left to the field crew. The rigger signalman and the crane operator communicate by radio, or by hand signals, to maneuver the lifted object between obstructions. This thesis presents advancements in the development of mathematical algorithms for the lift object trajectory path and analysis. The proposed methodology is divided into smaller manageable phases to control the process and at the same time create independent modules. Each step of the lifted object movement was algebraically-digitally tracked, starting at the lifted object pick-point through an optimum path development to the object’s final position or set-point. Parameters such as the minimum distance between the lifted object and passing obstructions and the minimum clearance between the lifted object and the crane boom envelope are some of the many predefined rules that were taken into account. Each step in the developed algorithm provides a short description, partial decision flowchart, and graphical interpretation of the problem, and some sections cover mathematical calculations of a defined path. The lifted object’s spatial trajectory analysis and optimization are part of the complex assignment relating to the crane selection process. The proposed methodology is tested on a case study, which is also described in this thesis in order to illustrate the essential features of the proposed methodology.
  • Doctoral
  • Doctor of Philosophy
  • Department of Civil and Environmental Engineering
  • Fall 2010
  • Al-Hussein, Mohamed (Civil and Environmental)
    Bouferguene, Ahmed (Campus Saint Jean)
  • Lee, Sanghyun (Civil and Environmental)
    Szymanski, Jozef (Civil and Environmental)
    Boulanger, Pierre (Computing Science)
    Al-Jibouri, Saad (Univ of Twente, Netherlands)

license.txt

Download license