Predicting compressive strength of eco-friendly plastic sand paver blocks using gene expression and artificial intelligence programming

B Iftikhar, SC Alih, M Vafaei, MF Javed, MF Rehman… - Scientific reports, 2023 - nature.com
Plastic sand paver blocks provide a sustainable alternative by using plastic waste and
reducing the need for cement. This innovative approach leads to a more sustainable …

Develo** a sustainable concrete incorporating bentonite clay and silica fume: Mechanical and durability performance

M Ashraf, MF Iqbal, M Rauf, MU Ashraf, A Ulhaq… - Journal of Cleaner …, 2022 - Elsevier
The use of supplementary cementitious materials (SCMs) can improve the properties of
concrete, reduce pressure on natural resources and CO 2 emissions. However, certain …

Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms

FE Jalal, Y Xu, M Iqbal, B Jamhiri, MF Javed - Transportation Geotechnics, 2021 - Elsevier
In this study, gene expression programming (GEP) and multi gene expression programming
(MEP) are utilized to formulate new prediction models for determining the compaction …

Performance of slabs in reinforced concrete structures to resist progressive collapse

B Pang, F Wang, J Yang, S Nyunn, I Azim - Structures, 2021 - Elsevier
The progressive collapse resistance of reinforced concrete (RC) and precast concrete (PC)
buildings has become a rising concern in recent years. Extensive research has been …

Sustainable utilization of foundry waste: Forecasting mechanical properties of foundry sand based concrete using multi-expression programming

MF Iqbal, MF Javed, M Rauf, I Azim, M Ashraf… - Science of the Total …, 2021 - Elsevier
Waste Foundry sand (WFS), a major solid waste from metal casting industry, is posing a
significant environmental threat owing to its disposal to landfills. In this research, an …

[HTML][HTML] Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength …

HH Chu, MA Khan, M Javed, A Zafar, MI Khan… - Ain Shams Engineering …, 2021 - Elsevier
Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-
product. Which has been proficiently used for the manufacture of FA based geopolymer …

Comparative study of evolutionary artificial intelligence approaches to predict the rheological properties of fresh concrete

S Nazar, J Yang, A Ahmad, SFA Shah - Materials Today Communications, 2022 - Elsevier
Rheology has been an essential tool to control the fresh state properties of concrete in case
of self-compacting concrete, 3d printing of concrete, and ultra-high-performance concrete …

An evolutionary machine learning-based model to estimate the rheological parameters of fresh concrete

S Nazar, J Yang, MF Javed, K Khan, L Li, Q Liu - Structures, 2023 - Elsevier
This study describes the prediction and development of a new mathematical model for two
parameters of rheology ie, plastic viscosity (PV) and yield stress (YS) by the application of a …

Flexural strength prediction for concrete beams reinforced with FRP bars using gene expression programming

Y Murad, A Tarawneh, F Arar, A Al-Zu'bi, A Al-Ghwairi… - Structures, 2021 - Elsevier
FRP bars have been recently used as an alternative to the traditional steel bars in
construction, especially in harsh environmental regions. Gene expression programming …

Development of the new prediction models for the compressive strength of nanomodified concrete using novel machine learning techniques

S Nazar, J Yang, W Ahmad, MF Javed… - Buildings, 2022 - mdpi.com
Concrete is a heterogeneous material that is extensively used as a construction material.
However, to improve the toughness and mechanical properties of concrete, various …