Fazal E. Jalal
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View article: Sustainable Engineering of Fiber-Reinforced Coal Gangue Linking Geomechanics and Microstructure through Support Vector Machines
Sustainable Engineering of Fiber-Reinforced Coal Gangue Linking Geomechanics and Microstructure through Support Vector Machines Open
The periodic variations (heave/shrink) in soft soil can lead to extensive damage to lightweight structures, resulting in an annual loss of several billion dollars. Although well-known traditional stabilizers can effectively regulate soil v…
View article: Swelling reduction in bentonite due to saline solutions via fractal modeling
Swelling reduction in bentonite due to saline solutions via fractal modeling Open
This study quantifies the complex impact of saline solution on the swelling behaviour of compacted bentonite or montmorillonite clay. The influence mechanisms can be divided into macroscopic mechanical action and microscopic chemical react…
View article: Enhanced low-frequency vibration isolation via innovative double-resonator phononic crystals
Enhanced low-frequency vibration isolation via innovative double-resonator phononic crystals Open
Ground vibrations induced by underground metro systems can adversely affect the surrounding environment, particularly in the context of low-frequency vibrations. Despite the introduction of various mitigation techniques, such as floating s…
View article: Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling
Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling Open
In this article, detailed trials were undertaken to study the variation in genetic parameters in order to formulate more robust predictive models using gene expression programming (GEP) and multigene expression programming (MEP) for comput…
View article: Selected AI optimization techniques and applications in geotechnical engineering
Selected AI optimization techniques and applications in geotechnical engineering Open
In an age of depleting earth due to global warming impacting badly on the ozone layer of the earth system, the need to employ technologies to substitute those engineering practices which result in emissions contributing to the death of our…
View article: Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis
Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis Open
The corrosion of steel reinforcement necessitates regular maintenance and repair of a variety of reinforced concrete structures. Retrofitting of beams, joints, columns, and slabs frequently involves the use of fiber-reinforced polymer (FRP…
View article: Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming
Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming Open
The safety and economy of an infrastructure project depends on the material and design equations used to simulate the performance of a particular member. A variety of materials can be used in conjunction to achieve a composite action, such…
View article: Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming
Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming Open
The useful life of a concrete structure is highly dependent upon its durability, which enables it to withstand the harsh environmental conditions. Resistance of a concrete specimen to rapid chloride ion penetration (RCP) is one of the test…
View article: GEP tree-based computational AI approach to evaluate unconfined compression strength characteristics of Fly ash treated alkali contaminated soils
GEP tree-based computational AI approach to evaluate unconfined compression strength characteristics of Fly ash treated alkali contaminated soils Open
The structural failures induced by alkali-contamination of soils are well established by earlier researchers. In the present study, the effect of alkali concentration (2 M and 4 M) and duration of curing on the unconfined compressive stren…
View article: Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches
Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches Open
Foamed concrete is special not only in terms of its unique properties, but also in terms of its challenging compositional mixture design, which necessitates multiple experimental trials before obtaining the desired property like compressiv…
View article: Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches
Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches Open
Stabilized aggregate bases are vital for the long-term service life of pavements. Their stiffness is comparatively higher; therefore, the inclusion of stabilized materials in the construction of bases prevents the cracking of the asphalt l…
View article: Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree Approach
Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree Approach Open
Coal mining waste in the form of coal gangue (CG) was established recently as a potential fill material in earthworks. To ascertain this potential, this study forecasts the strength and California Bearing Ratio (CBR) characteristics of che…
View article: Multi Expression Programming Model for Strength Prediction of Fly-Ash-Treated Alkali-Contaminated Soils
Multi Expression Programming Model for Strength Prediction of Fly-Ash-Treated Alkali-Contaminated Soils Open
Rapid industrialization is leading to the pollution of underground natural soil by alkali concentration which may cause problems for the existing expansive soil in the form of producing expanding lattices. This research investigates the ef…
View article: Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models
Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models Open
An accurate calculation of the flexural capacity of flexural members is vital for the safe and economical design of FRP reinforced structures. The existing empirical models are not accurately calculating the flexural capacity of beams and …
View article: Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models
Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models Open
Cement production is one of the major sources of decomposition of carbonates leading to the emission of carbon dioxide. Researchers have proven that incorporating industrial wastes is of paramount significance for producing green concrete …
View article: Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming
Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming Open
The central aim of this study is to evaluate the effect of polyethylene terephthalate (PET) alongside two supplementary cementitious materials (SCMs)—i.e., fly ash (FA) and silica fume (SF)—on the 28-day compressive strength (CS28d) of cem…
View article: Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models
Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models Open
The long-term durability of glass fiber reinforced polymer (GFRP) bars in harsh alkaline environments is of great importance in engineering, which is reflected by the environmental reduction factor in various structural codes. The calculat…
View article: Experimental Investigation of the Stress–Strain Behavior and Strength Characterization of Rubberized Reinforced Concrete
Experimental Investigation of the Stress–Strain Behavior and Strength Characterization of Rubberized Reinforced Concrete Open
Due to the rapid increase in population, the use of automobile vehicles increases day by day, which causes a considerable increase in the waste tires produced worldwide. Research studies are in progress to utilize scrap tires and waste rub…
View article: Artificial Intelligence Prediction Model for Swelling Potential of Soil and Quicklime Activated Rice Husk Ash Blend for Sustainable Construction
Artificial Intelligence Prediction Model for Swelling Potential of Soil and Quicklime Activated Rice Husk Ash Blend for Sustainable Construction Open
Artificial intelligence (AI) algorithms of adaptive neuro-fuzzy inference system or the adaptive network-based fuzzy inference system (ANFIS) has been deployed to predict the swelling potential (SP) of treated weak soil. The soil was treat…
View article: Durability evaluation of GFRP rebars in harsh alkaline environment using optimized tree-based random forest model
Durability evaluation of GFRP rebars in harsh alkaline environment using optimized tree-based random forest model Open
GFRP bars reinforced in submerged or moist seawater and ocean concrete is subjected to highly alkaline conditions. While investigating the durability of GFRP bars in alkaline environment, the effect of surrounding temperature and condition…
View article: On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils
On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils Open
The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace optimization-based hybrid computing models were trained and developed for the pr…
View article: GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India
GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India Open
The main objective of the study was to investigate performance of three soft computing models: Naïve Bayes (NB), Multilayer Perceptron (MLP) neural network classifier, and Alternating Decision Tree (ADT) in landslide susceptibility mapping…
View article: ANFIS Prediction Model for the Mechanical Properties of Soil and Activated Rice Husk Ash Blend for Sustainable Construction
ANFIS Prediction Model for the Mechanical Properties of Soil and Activated Rice Husk Ash Blend for Sustainable Construction Open
The authors have requested that this preprint be removed from Research Square.
View article: Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil
Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil Open
Gene expression programming has been applied in this work to predict the California bearing ratio (CBR), unconfined compressive strength (UCS), and resistance value (R value or Rvalue) of expansive soil treated with an improved composites …