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Hassan Amer Algaifi

Researcher at Universiti Tun Hussein Onn Malaysia

Publications -  31
Citations -  356

Hassan Amer Algaifi is an academic researcher from Universiti Tun Hussein Onn Malaysia. The author has contributed to research in topics: Compressive strength & Aggregate (composite). The author has an hindex of 5, co-authored 24 publications receiving 107 citations. Previous affiliations of Hassan Amer Algaifi include Universiti Teknologi Malaysia.

Papers
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The adsorptive removal of As (III) using biomass of arsenic resistant Bacillus thuringiensis strain WS3: Characteristics and modelling studies

TL;DR: In this paper, an artificial neural network (ANN) model that mimicked the human brain function was applied to remove As (III) from aqueous solution under different contact time, temperature, pH, As(III) concentrations and adsorbent dosages.
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Numerical modeling for crack self-healing concrete by microbial calcium carbonate

TL;DR: In this paper, a theoretical model to simulate the kinetics of calcite precipitation induced in response to the hydrolysis of urea in concrete crack is presented, and a second-order partial differential equation in time and space is developed to model the healing process, rationally based on physic-bio-chemical issues.
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Insight into the role of microbial calcium carbonate and the factors involved in self-healing concrete

TL;DR: In this article, a comprehensive investigation was conducted to explore the bacterial growth and influential factors on the evolution of urea hydrolysis aimed to accurately promote calcium carbonate precipitation inside concrete.
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Engineering Properties of Waste Sawdust-Based Lightweight Alkali-Activated Concrete: Experimental Assessment and Numerical Prediction.

TL;DR: An experimental study on the sustainability of employing waste sawdust as a fine/coarse aggregate replacement incorporating fly ash and granulated blast furnace slag to make high-performance cement-free lightweight concretes shows more the lightweight concrete to be more sustainable for construction applications.
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Development of a sustainable concrete incorporated with effective microorganism and fly Ash: Characteristics and modeling studies

TL;DR: In this paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) was developed to estimate the strength properties of the design mixes depending on each binder mass percentage.