Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate

P Mehrabi, M Shariati, K Kabirifar, M Jarrah… - … and Building Materials, 2021 - Elsevier
Pervious concrete (PC) has been widely used to construct concrete pavements and to
increase the permeable surfaces all over the world. With the boost in the use of PC, it is …

Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study

M Parsajoo, DJ Armaghani, AS Mohammed… - Transportation …, 2021 - Elsevier
Tensile strength of rock plays a significant role in the design of tunnels and underground
engineering projects. Due to the inefficiency of direct method in determining rock tensile …

Sustainable design of self-consolidating green concrete with partial replacements for cement through neural-network and fuzzy technique

S Han, D Zheng, B Mehdizadeh, EA Nasr… - Sustainability, 2023 - mdpi.com
In order to achieve a sustainable mix design, this paper evaluates self-consolidating green
concrete (SCGC) properties by experimental tests and then examines the design …

Analytical assessment of the structural behavior of a specific composite floor system at elevated temperatures using a newly developed hybrid intelligence method

S Han, Z Zhu, M Mortazavi, AM El-Sherbeeny… - Buildings, 2023 - mdpi.com
The aim of this paper is to study the performance of a composite floor system at different heat
stages using artificial intelligence to derive a sustainable design and to select the most …

[HTML][HTML] Application of artificial intelligence to evaluate the fresh properties of self-consolidating concrete

Y Feng, M Mohammadi, L Wang, M Rashidi, P Mehrabi - Materials, 2021 - mdpi.com
This paper numerically investigates the required superplasticizer (SP) demand for self-
consolidating concrete (SCC) as a valuable information source to obtain a durable SCC. In …

Numerical evaluation of the upright columns with partial reinforcement along with the utilisation of neural networks with combining feature-selection method to predict …

E Taheri, P Mehrabi, S Rafiei, B Samali - Applied Sciences, 2021 - mdpi.com
This study evaluated the axial capacity of cold-formed racking upright sections strengthened
with an innovative reinforcement method by finite element modelling and artificial …

Utilizing artificial intelligence to predict the superplasticizer demand of self-consolidating concrete incorporating pumice, slag, and fly ash powders

J Liu, M Mohammadi, Y Zhan, P Zheng, M Rashidi… - Materials, 2021 - mdpi.com
Self-consolidating concrete (SCC) is a well-known type of concrete, which has been
employed in different structural applications due to providing desirable properties. Different …

Mechanical properties of recycled aggregate concretes containing silica fume and steel fibres

S Jahandari, M Mohammadi, A Rahmani… - Materials, 2021 - mdpi.com
In this study, the impact of steel fibres and Silica Fume (SF) on the mechanical properties of
recycled aggregate concretes made of two different types of Recycled Coarse Aggregates …

Assessment of composite beam performance using GWO–ELM metaheuristic algorithm

R Ma, M Karimzadeh, A Ghabussi, Y Zandi… - Engineering with …, 2021 - Springer
Composite beams (CBs) include concrete slabs jointed to the steel parts by the shear
connectors, which highly popular in modern structures such as high rise buildings and …

Improved reptile search optimization algorithm: application on regression and classification problems

MK Khan, MH Zafar, S Rashid, M Mansoor… - Applied Sciences, 2023 - mdpi.com
The reptile search algorithm is a newly developed optimization technique that can efficiently
solve various optimization problems. However, while solving high-dimensional nonconvex …