Estimating acceptability of new concrete formwork systems using neural network

Faculty Engineering Year: 2001
Type of Publication: Theses Pages: 302
Authors:
BibID 10509677
Keywords : Neural networks (Computer science    
Abstract:
is study is concerned with the problem of the acceptability of the rizontal form work systems. The importance of this study is due to the recent construction technology developments haveIn a number’ of highly specialized technologies applied tork systems consequently, there are alternative technologies that ady in use for formwork systems. In addition, new constructionogies continually emerge in the technology of formwork systems. technology will have to compete with existing methods forh its acceptability when it is still in the inception stage. In fact,’mated acceptability of a new form work system makes sense only ompared to an existing system used for the same operation.acceptability of a new technology IS a: on ability may come from the knowledge of existing comparableAtheir, strengthes and weaknesses in meeting operationaland the general priorities and preferences of industry users ..on makers face a difficulty in estimating the acceptability of new. ction technologies. This difficulty stems from the fact that thetific approach that can be used to predict the acceptability of new ,.ontal form work technologies for a particular operation. This ach can produce a real cost saving because the formwork systemA neural network (NN) based approach is proposed in this study for (ting the acceptability of a new technology. The acceptability of a• > logy for a target operation is defined as the proportion of users that to use the technology in comparison to a conventional (base) logy. All existing alternative technologies of horizontal formwork s for the target operation are collected. Data are compiled ing the performance characteristics of each sample technology areThe obtained performance acceptability patterns are used to neural network using the back-propagation algorithm. 
   
     
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