During the past two decades, rapid advances in information technology have improved the accuracy and capabilities of optimization techniques. Unfortunately, great number of optimization methods in civil engineering has not found implementation in practice, mainly because the problems were treated only from mathematical point of view, disregarding applicability of obtained solutions in reality. Since the aim of any optimization method is developing methodology that would successfully imitate human reasoning, it is necessary to develop adequate approach that would obtain realistic and applicable solutions. This paper provides basic facts of the optimal reinforced structures design, problem classification, mathematic definition and applicability aspect, as well as preview of methods and references available in the literature.
Original scientific paper Methods for optimal design of the reinforced concrete structures presented in literature usually do not consider detailed reinforcement pattern, or if they do, it is either too generalized or the optimal solution is always the one with the lowest amount of the reinforcement, disregarding its applicability in reality, at the building site. In order to develop adequate apparatus for numerical estimation and easier choice of the most appropriate solution from the practical point of view, a field research was conducted at the building sites for obtaining data about realistic time needed for placing and fixing reinforcement in different formations. Obtained results were normalized and functional correlations between them were established. Testing results confirmed that proposed approach can help a designer to choose the most applicable solution among several theoretically acceptable ones and that the developed reinforcement pattern coefficient can be successfully used in solving complex optimization problems. Keywords: applicability evaluation; optimization; reinforcement pattern; reinforced concrete structures Kvantitativna metoda za ocjenu primjenljivosti projektirane sheme armiranjaIzvorni znanstveni članak U metodama optimalnog projektiranja armiranobetonskih konstrukcija koje se mogu naći u literaturi obično se ne razmatra detaljna shema armiranja ili je, ako se i razmatra, to ili previše uopćeno, ili se za optimalno rješenje uvijek usvaja ono s najmanjom količinom armature, bez obzira na njegovu primjenljivost u stvarnosti, tj. na gradilištu. U cilju razvoja odgovarajućeg matematičkog aparata za numeričku ocjenu i lakši odabir odgovarajućeg rješenja s praktične točke gledišta, provedeno je terensko istraživanje na gradilištima kako bi se prikupili podaci o realnom vremenu potrebnom za postavljanje i fiksiranje različitih rasporeda armature. Prikupljeni rezultati su normalizirani i između njih su uspostavljene funkcionalne korelacije. Rezultati testiranja su potvrdili da prikazani pristup može pomoći projektantu kod odabira najprimjenljivijeg rješenja između nekoliko teorijski prihvatljivih te da se izvedeni koeficijent sheme armiranja može uspješno primijeniti pri rješavanju složenih optimizacijskih problema.
Critical Path Method (CPM) technique has become widely recognized as valuable tool for the planning and scheduling large construction projects. The aim of this paper is to present an analytical method for finding the Critical Path in the precedence network diagram where the duration of each activity is represented by a trapezoidal fuzzy number. This Fuzzy Critical Path Method (FCPM) uses a defuzzification formula for trapezoidal fuzzy number and applies it on the total float (slack time) for each activity in the fuzzy precedence network to find the critical path. The method presented in this paper is very effective in determining the critical activities and finding the critical paths.
Abstract. Optimum design of truss structures is considered as a benchmark problem in the field of the structural optimization. In order to solve this hard combinatorial problem, it is necessary to implement adequate optimization tool that would provide sufficiently wide range of possible solutions within a reasonable time as well as to obtain good exploration and exploitation of search space. The aim of presented study was to compare efficiency of different multi-objective algorithms in solving this task.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.