Multi-objective mixture design and optimisation of steel fiber reinforced UHPC using machine learning algorithms and metaheuristics

Design of T-shaped tube hydroforming using finite element and artificial neural network modeling

(2020) Fethi Abbassi et al.   Journal of Mechanical Science and Technology

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

(2020) Jin Duan et al.   ENGINEERING WITH COMPUTERS

Multi-objective mixture design of cemented paste backfill using particle swarm optimisation algorithm

(2020) Ehsan Sadrossadat et al.   MINERALS ENGINEERING

Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

(2019) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete

(2019) Dieu Tien Bui et al.   ENGINEERING WITH COMPUTERS

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples

(2019) Lei Sun et al.   ENGINEERING WITH COMPUTERS

Evaluating the Effects of Steel Fibers on Mechanical Properties of Ultra-High Performance Concrete Using Artificial Neural Networks

(2018) Dechao Qu et al.   Applied Sciences-Basel

Mechanical properties of steel fiber-reinforced UHPC mixtures exposed to elevated temperature: Effects of exposure duration and fiber content

(2018) Shamsad Ahmad et al.   COMPOSITES PART B-ENGINEERING

Self-compacting concrete strength prediction using surrogate models

(2017) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Particle swarm optimization algorithm: an overview

(2017) Dongshu Wang et al.   SOFT COMPUTING

Prediction of concrete corrosion in sewers with hybrid Gaussian processes regression model

(2017) Yiqi Liu et al.   RSC Advances

Ultra-High Performance Concrete: Mechanical Performance, Durability, Sustainability and Implementation Challenges

(2016) S. Abbas et al.   International Journal of Concrete Structures and Materials

Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model

(2016) Nhat-Duc Hoang et al.   Advances in Civil Engineering

Prediction of Fresh and Hardened State Properties of UHPC: Comparative Study of Statistical Mixture Design and an Artificial Neural Network Model

(2015) Ehsan Ghafari et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies

(2014) Seyed Ali Ziaee et al.   Environmental Earth Sciences

Strengthening masonry infill panels using engineered cementitious composites

(2013) Ayoub Dehghani et al.   MATERIALS AND STRUCTURES

Parameter identification of a mechanical ductile damage using Artificial Neural Networks in sheet metal forming

(2012) Fethi Abbassi et al.   MATERIALS & DESIGN

Numerical analyses of tube hydroforming problem using artificial neural networks

(2010) T. Belhadj et al.   International Journal of Material Forming

Particle swarm optimization with preference order ranking for multi-objective optimization

(2009) Yujia Wang et al.   INFORMATION SCIENCES

Optimization of concrete mix proportioning using a flattened simplex–centroid mixture design and neural networks

(2008) I-Cheng Yeh   ENGINEERING WITH COMPUTERS

Response surface methodology (RSM) as a tool for optimization in analytical chemistry

(2008) Marcos Almeida Bezerra et al.   TALANTA