Infrastructure is the basic human need in this modern world; however, development of infrastructure also associated with some detrimental impacts to global environment. This because use environment un-friendly materials its construction e.g., Portland cement concrete (PCC). According studies, it responsible for emission hazardous carbon dioxide (CO2) and consumption non-renewable natural resources earth as raw materials. Therefore, high time that world must shift towards eco-friendly...

The investigation compares the conventional, advanced machine, deep, and hybrid learning models to introduce an optimum computational model assess ground vibrations during blasting in mining projects. long short-term memory (LSTM), artificial neural network (ANN), least square support vector machine (LSSVM), ensemble tree (ET), decision (DT), Gaussian process regression (GPR), (SVM), multilinear (MLR) are employed using 162 data points. For first time, blackhole-optimized LSTM has been used...

Among other lightweight aggregates, one choice is pumice stone (PS), which can replace coarse aggregates in concrete. In this study, the natural are replaced by various percentages of PS concrete to examine its physical and mechanical properties. Experiments designed prepare mixtures (by varying ratios PS) using response surface methodology (RSM). Slump compaction factor tests used investigate fresh properties, such as workability contrast, hardened properties determined compressive strength...

This study presents a comparative analysis of individual and ensemble learning algorithms (ELAs) to predict the compressive strength (CS) flexural (FS) plastic concrete. Multilayer perceptron neuron network (MLPNN), Support vector machine (SVM), random forest (RF), decision tree (DT) were used as base learners, which then combined with bagging Adaboost methods improve predictive performance. In addition, gene expression programming (GEP) was develop computational equations that can be CS FS...

Ordinary Portland cement (OPC) is proving to be hazardous the environment. To replace OPC, geopolymers (GPs) are introduced. However, fully OPC by GPs extensive laboratory tests required assess long-term and short-term properties of in different scenarios. Given shortage time for performing such testing, artificial intelligence (AI) used analyze GPs. In this study, AI techniques as neuro network (ANN), adaptive neuro-fuzzy inference system (ANFIS), gene expression programming (GEP) obtain...

Abstract Bentonite plastic concrete (BPC) demonstrated promising potential for remedial cut-off wall construction to mitigate dam seepage, as it fulfills essential criteria strength, stiffness, and permeability. High workability consistency are attributes BPC because is poured into trenches using a tremie pipe, emphasizing the importance of accurately predicting slump BPC. In addition, prediction models offer valuable tools estimate various strength parameters, enabling adjustments mixing...

The waste from the flat glass polishing process for civil construction is generally discarded in landfills. Despite some researchers evaluating its application development of alternative building materials, added value still a barrier. objective this research to evaluate physical-mechanical behavior addition on durability geopolymeric mortars be used small external structural repairs and their processing methods. Cylindrical specimens (50 × 100 mm) were made with metakaolin (MK) natural sand...

Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete the construction sector. Incorporating SF as partial substitution of cement has obvious advantages, including reduced CO2 emission, cost-effective concrete, enhanced durability, and mechanical properties. Due to ever-increasing environmental concerns, development predictive machine learning (ML) models requires time. Therefore, present study focuses on developing modeling techniques predicting...

Ceramic-based wastes generated from different industrial activities have increasingly been reused as construction material incorporated into concrete. In general, these just replace common concrete aggregates such sand and gravel. the present work, waste clay brick industries composted of kaolinite minerals were for first time evaluated their potential to be pozzolan constituent a cement structural Initial standard testes revealed that ceramic (CCW) displays high pozzolanicity. Concrete was...

Given the increasing risks that antibiotic abuse poses to microecology and human health, it is imperative develop incredibly powerful adsorbents. This study investigated use of environmentally sustainable polymeric nanocomposite based on gum arabic (GA) magnetic nanoparticles (MNPs) synthesized via co-precipitation method form magnetitic (GA-MNPs) as an efficient adsorbent for ciprofloxacin (CIP) removal from aqueous solution. The physicochemical properties morphology GA-MNPs were...

This work successfully created a polypyrrole-polyethyleneimine (PPy-PEI) nano adsorbent for the elimination of lead ion Pb2+ from an aqueous solution. An efficient conducting polymer-based called as was using ammonium persulfate (NH4)2S2O8 oxidant (PPy-PEI). The PEI hyper-branched polymer with terminal amino groups added to PPy offer heavy metals more effective chelating sites. removal solution polyethyleneimine micro accomplished batch equilibrium technique generated water-insoluble...

Prediction of work Travel mode choice is one the most important parts travel demand forecasting. Planners can achieve sustainability goals by accurately forecasting how people will get to and from work. In prediction selection, machine learning methods are commonly employed. To fit a machine-learning model various challenges, hyperparameters must be tweaked. Choosing optimal hyperparameter configuration for models has an immediate effect on performance model. this paper, optimizing common...

Plastic waste poses a significant hazard to the environment as result of its high production rates, which endanger both and inhabitants. Similarly, another concern is cement, accounts for roughly 8% global CO2 emissions. Thus, recycling plastic replacement cementitious materials may be more effective strategy minimisation cement elimination. Therefore, in this study, (low-density polyethylene) utilised sand paver blocks without use cement. In addition this, basalt fibers green industrial...

In recent years, the construction industry has been striving to make production faster and handle more complex architectural designs. Waste reduction, geometric freedom, lower costs, speedy 3D-printed fiber-reinforced concrete (3DPFRC) alternative for future construction. However, achieving optimum mixture composition 3DPFRC remains a daunting task, entailing consideration of multiple variables necessitating an extensive trial-and-error experimental process. Therefore, this study...

Plastic sand paver blocks (PSPB) provide a sustainable alternative by reprocessing plastic waste and decreasing reliance on environmentally hazardous materials such as concrete. They promote management favorable building practices. This paper presents novel method for estimating the compressive strength (CS) of based gene expression programming (GEP) techniques. The database collected from experimental work comprises 135 results. Seven input parameters were involved in predicting CS PSPB,...