Recent advances in the applications of shape memory alloys in civil infrastructures: A review
Abstract Shape Memory Alloys (SMAs) are a new generation of smart materials with the
capability of recovering their predefined shape after experiencing a large strain. This is …
capability of recovering their predefined shape after experiencing a large strain. This is …
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …
engineering structures. This parameter is generally determined by conducting several tests …
Introducing stacking machine learning approaches for the prediction of rock deformation
Accurate and reliable predictions of rock deformations are crucial in many rock-based
projects in civil and mining engineering. In this research, a new system for the prediction of …
projects in civil and mining engineering. In this research, a new system for the prediction of …
Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)
Mineral admixtures have been widely used to produce concrete. Pozzolans have been
utilized as partially replacement for Portland cement or blended cement in concrete based …
utilized as partially replacement for Portland cement or blended cement in concrete based …
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
Shear connectors play a prominent role in the design of steel-concrete composite systems.
The behavior of shear connectors is generally determined through conducting push-out …
The behavior of shear connectors is generally determined through conducting push-out …
Chaotic simulation of the multi-phase reinforced thermo-elastic disk using GDQM
MSH Al-Furjan, M Habibi, A Rahimi, G Chen… - Engineering with …, 2020 - Springer
In this research, a mathematical derivation is made to develop a nonlinear dynamic model
for the nonlinear frequency and chaotic responses of the multi-scale hybrid nano-composite …
for the nonlinear frequency and chaotic responses of the multi-scale hybrid nano-composite …
Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures
A developed comparative analysis of metaheuristic optimization algorithms has been used
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
[PDF][PDF] Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
This study is aimed to predict the behaviour of channel shear connectors in composite floor
systems at different temperatures. For this purpose, a soft computing approach is adopted …
systems at different temperatures. For this purpose, a soft computing approach is adopted …
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
This study is aimed to investigate the surface eco-protection techniques for cohesive soil
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
slopes along the selected Guthrie Corridor Expressway (GCE) stretch by way of analyzing a …
[PDF][PDF] Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)
Different parameters potentially affect the properties of corroded reinforced concrete beams.
However, the high number of these parameters and their dependence cause that the …
However, the high number of these parameters and their dependence cause that the …