Journal ArticleDOI
New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach
TLDR
The proposed models correlate the concrete true-triaxial strength to mix design parameters and principal stresses, needless of conducting any time-consuming laboratory experiments and demonstrate superior performance to the other existing empirical and analytical models.About:
This article is published in Advances in Engineering Software.The article was published on 2017-08-01. It has received 55 citations till now.read more
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Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming.
Muhammad Farjad Iqbal,Qing-feng Liu,Iftikhar Azim,Xingyi Zhu,Jian Yang,Muhammad Faisal Javed,Momina Rauf +6 more
TL;DR: Gen expression programming (GEP) has been employed in this study to develop empirical models for prediction of mechanical properties of concrete made with WFS (CMWFS), which can enhance the re-usage of WFS for development of green concrete leading to environmental protection and monetary benefits.
A Plastic-Fracture Model for Concrete
TL;DR: In this paper, an elastic-plastic-fracture model for the finite-element analysis of concrete structures was proposed based on geometrical considerations, and a four-parameter fracture (or yielding) criterion was proposed which embraces some of the simpler existing models.
Journal ArticleDOI
Prediction model for compressive arch action capacity of RC frame structures under column removal scenario using gene expression programming
Iftikhar Azim,Jian Yang,Muhammad Faisal Javed,Muhammad Farjad Iqbal,Zafar Mahmood,Feiliang Wang,Qing-feng Liu +6 more
TL;DR: In this article, Gene Expression Programming (GEP) was used to establish a prediction model for the CAA capacity of reinforced concrete (RC) beam-column substructures, which is one of the important resistance mechanisms against progressive collapse in reinforced concrete frame buildings at small deformations.
Journal ArticleDOI
Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest
Mohsin Ali Khan,Shazim Ali Memon,Furqan Farooq,Muhammad Faisal Javed,Fahid Aslam,Rayed Alyousef +5 more
TL;DR: In this article, the compressive strength of fly ash residual from thermal industries has been used in the production of FA-based geopolymer concrete (FGPC) to avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in order to develop an empirical model for the prediction of compressive strengths.
Journal ArticleDOI
New machine learning-based prediction models for fracture energy of asphalt mixtures
TL;DR: The GEP model appears to be more practical than the ANN/SA model because of its better generalization and simpler functional structure and is recommended for pre-design purposes or as a means to determine asphalt mixture fracture energy when testing is not feasible.
References
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Book
Genetic Programming: On the Programming of Computers by Means of Natural Selection
TL;DR: This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming.
Journal ArticleDOI
Beware of q2
TL;DR: It is argued that the high value of LOO q2 appears to be the necessary but not the sufficient condition for the model to have a high predictive power, which is the general property of QSAR models developed using LOO cross-validation.
Journal Article
Gene Expression Programming: A New Adaptive Algorithm for Solving Problems.
TL;DR: Gene expression programming, a genotype/phenotype genetic algorithm (linear and ramified), is presented here for the first time as a new technique for the creation of computer programs with high efficiency that greatly surpasses existing adaptive techniques.
Book
Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications
TL;DR: This book presents a meta-modelling framework for genetic programming that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing genetic algorithms.
Book
Underground excavations in rock
Evert Hoek,Edwin T. Brown +1 more
TL;DR: In this article, the geotechnical aspects of the design of underground openings for mining and civil engineering purposes are discussed, and a number of worked examples to assist the reader in applying the techniques described to his or her own problems.