Abstract
Construction process planning of structures have an influence upon the cost and term of the construction. The construction process is often planned by trial and error on the basis of previous experiences. The work is very tough and could not always give an optimal answer. Various difficulties which must be solved also increase when the structure becomes complex and the number of members increases. In this study, our objective is to search for the optimal construction process by a numerical analysis. Genetic Algorithms (GAs) are introduced into the problem of the construction process analysis. The sequence of numbers, which is arranged by the removal order of members, is assumed to represent a chromosome. Members of a structure are removed in order of the chromosome from the completion state. The structure, after removing a member, should be stable. If the criteria are not satisfied, temporary supports are set up on suitable nodes. Consequently, a number of temporary supports or a total sum of reaction forces caused at the temporary supports is considered as an evaluation function of the optimization problem. In this paper, two examples of the construction process analysis are presented, and applicability of GAs to the problem of construction process is discussed.
