State of art review on applications and mechanism of self-healing materials and structure

EK Kumar, SS Patel, V Kumar, SK Panda… - … Methods in Engineering, 2023 - Springer
Self-healing materials (SHEM) have extensive characteristics that significantly influence
structural and polymeric components' damage detection and healing behaviour. The …

Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling

J Li, G Yan, LH Abbud, T Alkhalifah, F Alturise… - … in Engineering Software, 2023 - Elsevier
In this study, we developed an ANFIS-GA-PSO hybrid model for predicting the shear
strength of concrete beams. Predicting the shear strength of concrete beams before …

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 …

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

M Shariati, MS Mafipour, B Ghahremani… - Engineering with …, 2022 - Springer
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 …

Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers

A Toghroli, P Mehrabi, M Shariati, NT Trung… - … and Building Materials, 2020 - Elsevier
The aim of this study is to investigate the effects of using recycled concrete aggregate (RCA)
and pozzolanic materials as a partial replacement of natural coarse aggregate (NCA) and …

Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)

M Shariati, MS Mafipour, P Mehrabi, M Ahmadi… - Smart Structures and …, 2020 - dbpia.co.kr
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 …

Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal …

M Shariati, MS Mafipour, P Mehrabi, A Bahadori… - Applied sciences, 2019 - mdpi.com
Featured Application Behavior prediction of channel shear connectors in normal and high-
strength concrete (HSC) without conducting costly experiments. Abstract Channel shear …

Alkali-activated slag (AAS) paste: Correlation between durability and microstructural characteristics

M Shariati, A Shariati, NT Trung, P Shoaei… - … and Building Materials, 2021 - Elsevier
This study was aimed at evaluating the effects of alkali activator solution and utilization of
silica fume (SF) on durability and microstructural characteristics of alkali-activated ground …

The effect of carbon dioxide emissions on the building energy efficiency

J Min, G Yan, AM Abed, S Elattar, MA Khadimallah… - Fuel, 2022 - Elsevier
During this anthropocentric period, sustainable energy supply and climate changing could
be a main source of problem for human being. Scientists believe that the ratio of climate …

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 …