Abstract The bond between steel and concrete in reinforced structures is a multifaceted intricate phenomenon that plays vital role the design overall performance of such structures. It refers to adhesion mechanical interlock reinforcement bars surrounding matrix. Under elevated temperatures, more complex under higher yet having an accurate estimate important factor design. Therefore, this paper...

Nowadays, the better performance of lightweight structures during earthquake has resulted in using lightweight concrete more than ever. However, determining the compressive strength of concrete used in these structures during their service through a none-destructive test is a popular and useful method.  One of the main methods of non-destructive testing in the assessment of compressive strength...

Surface roughness has a great influence on the functional properties of the product. Finding the rules that how process factors and environment factors affect the values of surface roughness will help to set the process parameters of the future and then improve production quality and efficiency. Since surface roughness is impacted by different machining parameters and the inherent uncertainties...

Predication is one of the fundamental tasks of data mining. In recent years, Artificial Intelligence techniques are widely being used in data mining applications where conventional statistical methods were used such as Regression and classification. The aim of this work is to show the applicability of Gene Expression Programming (GEP), a recently developed AI technique, for hydraulic data predi...

Accurate prediction of water level (WL) is essential for the optimal management different resource projects. The development a reliable model WL remains challenging task in resources management. In this study, novel hybrid models, namely, Generalized Structure-Group Method Data Handling (GS-GMDH) and Adaptive Neuro-Fuzzy Inference System with Fuzzy C-Means (ANFIS-FCM) were proposed to predict d...

In this paper, we introduce a novel hybrid model for predicting the compressive strength of concrete using Ultrasonic Pulse Velocity (UPV) and Rebound Number (RN). First, collect 516 datasets from 8 studies UPV Hammer (RH) tests. Then, propose High Correlated Variables Creator Machine (HCVCM) to create new variables that have better correlation with output in order improve prediction models. Th...

This study aims to evaluate the performance of Soil and Water Assessment Tool (SWAT), a simple Auto-Regressive with eXogenous input (ARX) model, gene expression programming (GEP)-based model in one-day-ahead discharge prediction for upper Kentucky River Basin. Calibration models were carried out period 2002–2005 using daily flow at stream gauging station unaffected by regulation. Validation cal...

Compressive strength and splitting tensile strength are both mechanical properties of concrete that are utilized in structural design. This study presents gene expression programming (GEP) as a new tool for the formulations of splitting tensile strength from compressive strength of concrete. For purpose of building the GEP-based formulations, 536 experimental data have been gathered from existi...

This paper focuses on TWEANN (Topology and Weight Evolving Artificial Neural Network) methods based on indirect developmental encodings. TWEANNs are Evolutionary Algorithms (EAs) which evolve both topology and parameters (weights) of neural networks. Indirect developmental encoding is an approach inspired by multi-cellular organisms’ development from a single cell (zygote) known from Nature. Th...