Numerical Methods to Simulate and Visualize Detailed Crane Activities

: Virtual construction allows engineers to simulate and visualize construction progress on computer before commencing the real project and is becoming an important technique to manage fast-track and complicated construction projects. One major consideration for virtual construction is the simulation of the operation of construction equipment for a construction project. This research specifically focuses on developing a mathematical model to support the simulation and visualization of cranes, the most critical equipment in terms of project controls. This model is composed of two submodels—a kinematics model and a dynamic model. The kinematics model is to present the crane components controlled by the operators. The dynamic model is to present the dynamic behavior in suspended system (including the cable and rigging object), which cannot be controlled directly by the operators. To verify the feasibility of these methods, a computer program that simulates and visualizes detailed crane activities was developed. This program supports the real-time visualization of crane activities with high degree of reality accuracy and also, enables the detailed simulation of long-term construction projects.

[1]  Gary David Holt,et al.  Location optimization for a group of tower cranes , 1999 .

[2]  Eduardo Miranda,et al.  Planning and visualization for automated robotic crane erection processes in construction , 2006 .

[3]  Nathan M. Newmark,et al.  A Method of Computation for Structural Dynamics , 1959 .

[4]  Aviad Shapira,et al.  Feasibility of automated monitoring of lifting equipment in support of project control , 2005 .

[5]  Ronie Navon,et al.  Monitoring labor inputs: automated-data-collection model and enabling technologies , 2003 .

[6]  Liang Y Liu.  Construction Crane Operation Simulation , 1995 .

[7]  Min-Yuan Cheng,et al.  Integrating barcode and GIS for monitoring construction progress , 2002 .

[8]  Hong Zhang,et al.  Application of Fuzzy Logic to Simulation for Construction Operations , 2003 .

[9]  Vineet R. Kamat,et al.  Dynamic 3D Visualization of Articulated Construction Equipment , 2005 .

[10]  Dikai Liu,et al.  Nonlinear Models for Predicting Hoisting Times of Tower Cranes , 2002 .

[11]  William C. Stone,et al.  NIST Research toward Construction Site Integration and Automation , 1999 .

[12]  Arthur W. T. Leung,et al.  Models for assessing hoisting times of tower cranes , 1999 .

[13]  Shih-Chung Kang,et al.  Computational Methods for Coordinating Multiple Construction Cranes , 2008 .

[14]  Kevin Tantisevi and Burcu Akinci.  Automated Planning And Visualization Of Mobile Crane Operations Based On Building And Schedule Information , 2006 .

[15]  James J. Buckley,et al.  L∞ fuzzy logic , 1999, Fuzzy Sets Syst..

[16]  Leonhard E. Bernold,et al.  On-Line Assistance for Crane Operators , 1997 .

[17]  Colin S. Gray,et al.  A systematic approach to the selection of an appropriate crane for a construction site , 1985 .

[18]  C. M. Tam,et al.  Genetic Algorithm for Optimizing Supply Locations around Tower Crane , 2001 .

[19]  Koshy Varghese,et al.  COLLISION FREE PATH PLANNING OF COOPERATIVE CRANE MANIPULATORS USING GENETIC ALGORITHM , 2005 .

[20]  David Platt.  Introducing Microsoft .NET, Third Edition , 2003 .

[21]  François Peyret,et al.  The computer Integrated Road construction project , 2000 .

[22]  J. Denavit,et al.  A kinematic notation for lowerpair mechanism based on matrices , 1955 .

[23]  Kent A. Reed,et al.  Using VRML in construction industry applications , 2000, VRML '00.

[24]  F C Harris,et al.  TECHNICAL NOTE. A MODEL FOR DETERMINING OPTIMUM CRANE POSITION. , 1991 .

[25]  Awad S. Hanna,et al.  A fuzzy logic approach to the selection of cranes , 1999 .

[26]  Gwang-Hee Kim,et al.  Improving Tower Crane Productivity Using Wireless Technology , 2006, Comput. Aided Civ. Infrastructure Eng..

[27]  Carl T. Haas,et al.  Multiple Heavy Lifts Optimization , 1996 .

[28]  J. Denavit,et al.  A kinematic notation for lower pair mechanisms based on matrices , 1955 .

[29]  Koshy Varghese,et al.  Automated Path Planning of Cooperative Crane Lifts Using Heuristic Search , 2003 .

[30]  Tom Davis,et al.  Opengl programming guide: the official guide to learning opengl , 1993 .

[31]  Koshy Varghese,et al.  Graphical visualization for planning heavy lifts , 1994 .

[32]  Roger V. Bostelman,et al.  Summary of Modeling and Simulation for NIST RoboCrane? Applications , 1997 .

[33]  Colin S. Gray,et al.  A model for the selection of the optimum crane for construction sites , 1984 .

[34]  Koshy Varghese,et al.  Automated Path Planning for Mobile Crane Lifts , 2002 .

[35]  Craig Bennett,et al.  Bechtel Automated Lift Planning System , 1994 .

[36]  John J. Craig,et al.  Introduction to Robotics Mechanics and Control , 1986 .

[37]  Lotfi A. Zadeh,et al.  Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.

[38]  David Heesom,et al.  Trends of 4D CAD applications for construction planning , 2004 .