Compressive strength prediction of structural lightweight concrete by applying the recurrent neural network‐fractional order bat optimization algorithm

Abstract

Neural networks methods produce an analysis in various fields. The Neural Network is frequently employed for developing statistical methods for nonlinear systems since, the Neural Networks use the simulation benefits of complicated behavior in several problems. In this study, the Recurrent Neural Network and Recurrent Neural Network based on Fractional Order Bat Optimization Algorithm is utilized for predicting the compressive strength of Lightweight Concrete mixes in 3, 7, 14, and 28 days curing. Recurrent Neural Network has been used for having a comparison. The inputs to the network for the compressive strength are made of eight variables: sand, lightweight fine aggregate, water to cement ratio, silica fume utilized in solution, Lightweight course aggregate, silica fume utilized supplementary to cement, curing period, and superplasticizer. According to the results, the Recurrent Neural Network based on Fractional Order Bat Optimization Algorithm has predicted precise outcomes and trained so fast in comparison with RNN method.by considering the outcomes, the Neural Networks methods are satisfactory mechanisms to evaluate the LWC compressive strength. This can decrease the price and reduce the time of processes in these problems. K E Y W O R D S compressive strength of structural lightweight concrete, fractional order bat optimization algorithm, neural networks methods, recurrent neural network, RNN-FOBOA INTRODUCTIONConcrete is the most practical and widely utilized material in the world. The high-strength Lightweight concrete generation began in the 1970s, and in the 1980s, due to the need of some oil companies in the United States and Norway to build offshore structures and reservoirs such as oil rigs, a wide range of research began to build high-strength Lightweight concrete in these two countries. The results were published in the late 1980s and early 1990s. The largest Lightweight concrete building is a 52-story office building in Texas with a height of 215 m. In recent years, the Lightweight concrete use in the roof slabs of high-rise buildings, bridge decks and other similar items, as well as special applications such as decks and bases of oil rigs have been widely used. 1 The use of Lightweight materials has been considered for a long time and in the modern construction industry, due to the need to build structures with high height and large dimensions, the discussion of lightening has been the focus of more attention. Lightweight concrete with its advantages such as availability in most areas and also being economical can be one of the options in the discussion of designing Lightweight structures. The scope of application of this type of material can also be as a member of instruments