Automated Layout Planning of Climbing Formwork System Using Genetic Algorithm

Abstract

-Layout planning of climbing formwork system is a prerequisite for executing efficient and costeffective structural framework in a high-rise building construction. However, most of the formwork system layout is operated manually under heuristic approach of the supervisor, and thus is prone to errors that affect constructability of the entire construction. Furthermore, inflexibility of the current method to changes in building design also results in unexpected variability during system utilization. Automated formwork layout method that considers essential factors such as configurations on unit module of the form as an input data, information on building parameters for specifying possible areas of system installation, and configurations on working platform for optimal arrangement of unit systems can be suggested as an alternative to the current manual execution of formwork layout. Therefore, this study proposes an automated layout planning method of climbing formwork system by using genetic algorithm. The method developed in this study is to be utilized for reasonable decision making of the construction worker in control of the automated layout planning.

Predicting the Posture of High-Rise Building Machines Based on Multivariate Time Series Neural Network Models

“…Figure 1 illustrates the three-dimensional structural details of the HBM [ 8 , 9 , 10 ]. The levelness of the steel platform (SP) represents the HBM’s posture changes [ 11 , 12 , 13 ]. During the climbing process of the HBM, the telescopic support device retracts from the structurally reinforced concrete shear wall, while the climbing system supports the SP to ascend along the column guide rail.…”