... to testing. Findings The implementation of artificial intelligence-based prediction techniques in concrete, which is capable of predicting the strength of concrete without the use of technical assistance and sophisticated equipment, is also discussed. The present work is a comprehensive four-part review...

.... Additionally, the capability of LGP is examined to be used as an alternative approach for the numerical analysis of engineering problems. Findings A new predictive model is proposed for the estimation of the shear strength of cyclically loaded circular RC columns using the LGP approach. To demonstrate...

... containing waste glasses, providing information about the loading capacity, pozzolanic reaction and porosity of the mixture. This study aims to propose highly nonlinear models to predict the compressive strength of concrete containing finely ground glass particles. Design/methodology/approach A robust...

... of the ultimate bearing capacity (q_ult) of rock foundations, which is a considerable civil and geotechnical engineering problem. Design/methodology/approach The input-processing-output procedures taking place in ANFIS and GEP are represented for developing predictive models. The great...

...Amir Hossein Alavi; Ali Mollahasani; Amir Hossein Gandomi; Jafar Boluori Bazaz Purpose The purpose of this paper is to develop new constitutive models to predict the soil deformation moduli using multi expression programming (MEP). The soil deformation parameters formulated are secant (Es...

...Fred F. Farshad; James D. Garber; Juliet N. Lorde A novel approach using artificial neural networks (ANNs) for predicting temperature profiles evaluated 27 wells in the Gulf of Mexico. Two artificial neural network models were developed that predict the temperature of the flowing fluid at any depth...