Publications by authors named "Mohammed Alosta"

In light of the growing need to mitigate climate change impacts, this study presents an innovative methodology combining ensemble machine learning with experimental data to accurately predict the carbon dioxide footprint (CO-FP) of fly ash geopolymer concrete. The approach employs adaptive boosting to enhance decision tree regression (DTR) and support vector regression (SVR), resulting in a robust predictive framework. The models used key material features, including fly ash concentration, fine and coarse aggregates, superplasticizer, curing temperature, and alkali activator levels.

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Developing effective, cost-efficient, and eco-friendly energy storage solutions is crucial for sustainable building structures. Red mud, a waste material, was used as the electrolyte and separator in supercapacitors, alongside activated carbon derived from jute sticks coated on steel mesh electrodes. Tests on RM-enhanced supercapacitors showed that 20 % by weight of RM was the best amount.

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Objectives: Hospitals' accreditation process is carried out to enhance the quality of hospitals' care and patient safety practices as well. The current study aimed to investigate the influence of hospitals' accreditation on patient safety culture as perceived by Jordanian hospitals among nurses.

Methods: A descriptive cross-sectional correlational survey was used for the current study, where the data were obtained from 395 nurses by convenient sampling technique who were working in 3 accredited hospitals with 254 nurses, and 3 non-accredited hospitals with 141 nurses, with a response rate of 89%.

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Silica fume is usually used in UHPC, three times more than that for normal concrete, to enhance mechanical properties and durability. However, silica fume (SF) is an expensive material and has high production costs. This work is aimed at investigating the shrinkage and durability performance of previously developed UHPC mixtures utilizing the two calcareous waste materials, namely limestone powder (LSP) and cement kiln dust (CKD), by partially replacing the silica fume.

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Article Synopsis
  • Clay minerals in soils and rocks undergo significant volume changes when they interact with water, making their behavior complex, especially under engineering and environmental stresses.
  • Accurately predicting the hydro-mechanical behavior of clay-bearing strata for applications like nuclear waste storage and shale gas extraction is challenging due to the limitations of existing behavior models, which often overlook the structure of clay.
  • This study presents a new hydro-mechanical behavior model based on molecular-level simulations, validating it through laboratory and field tests, demonstrating its effectiveness across various clay types and conditions.
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Laser-induced breakdown spectroscopy (LIBS) is a remarkable elemental identification and quantification technique used in multiple sectors, including science, engineering, and medicine. Machine learning techniques have recently sparked widespread interest in the development of calibration-free LIBS due to their ability to generate a defined pattern for complex systems. In geotechnical engineering, understanding soil mechanics in relation to the applications is of paramount importance.

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  • The disposal of red mud (RM) from the aluminum industry poses environmental risks due to its high alkalinity and potential to pollute natural resources.
  • Recent strategies focus on repurposing RM as a supplementary material in construction (like cement and bricks) and as an efficient catalyst, addressing both waste management and potential cost reduction in various industries.
  • The review highlights RM's properties, its environmental impacts, and its applications, while acknowledging challenges such as poor cementitious properties that affect the performance of RM-based composites; it also points towards future research needs for sustainable RM disposal solutions.
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In order to increase the efficiency of the structures to resist seismic excitation, combinations of inerter, negative stiffness, and tuned mass damper are used. In the present work, the optimum tuning frequency ratio and damping of the tuned mass negative stiffness damper-inerter (TMNSDI) for the base-isolated structure were determined by employing the numerical searching technique under filtered white-noise earthquake excitation and stationary white noise. The energy dissipation index, the absolute acceleration, and the relative displacement of the isolated structure were considered as the optimum parameters, obtained by their maximization.

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More than half of the CO emissions during the manufacturing of ordinary Portland cement (OPC) occur due to the calcination of calcium carbonate in addition to burning of fossil fuel to power the process. Consequently, there is a concerted effort to decrease the carbon footprint associated with this process, by minimizing the use of OPC. In line with this trend, an attempt was made in the reported study to synthesize a novel alkali-activated binder using CaCO-rich waste limestone powder (WLSP) as a precursor.

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  • The study explores the use of earth materials in construction, highlighting their safety, health, and sustainability while addressing the challenges in optimizing soil mixes due to property variations.
  • It employs multilinear regression (MLR) and artificial neural networks (ANN) to analyze soil properties, using data from 488 cases of both stabilized and unstabilized soils.
  • The findings indicate that ANNs perform better than MLR in estimating compressive strength, with high correlation values, and the study concludes with recommendations for effective earth material mixes based on sensitivity analyses.
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Growing environmental pollution worldwide is mostly caused by the accumulation of different types of liquid and solid wastes. Therefore, policies in developed countries seek to support the concept of waste recycling due to its significant impact on the environmental footprint. Hot-mix asphalt mixtures (HMA) with reclaimed asphalt pavement (RAP) have shown great performance under rutting.

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This paper describes a study on finite element modeling (FEM) carried out on the ABAQUS platform for the prediction of flexural strength of corrosion-damaged reinforced concrete (RC) beams strengthened using layers of ultra-high-performance concrete (UHPC). Considering different combinations of the degree of reinforcement corrosion and thickness and configuration of UHPC layers, a total of twenty-two corroded, un-strengthened, and strengthened RC beam specimens were tested to record their flexural behavior. Following the flexural testing, the FEM was carried out considering the degradation in the diameter and the yielding strength of the corroded reinforcing bars.

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Alkali-activated concrete (AAC) or binders (AABs) have emerged as a substitute to conventional ordinary Portland cement (OPC)-based concrete owing to their techno-ecological merits. Saudi Arabia has vast resources of natural pozzolan whose impact on some fresh and hardened properties was encouraging; however, the long-term shrinkage behavior of AABs and life cycle assessment (LCA) of the developed product is yet to be explored. Therefore, this study evaluates shrinkage characteristics and LCA of Saudi natural pozzolan (NP)-based AAC.

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Article Synopsis
  • A study replaced 10% fine aggregate and 56% cement with crumb rubber and fly ash to create rubberized concrete interlocking bricks (RCIBs) for mortarless masonry construction.
  • Finite element (FE) analysis using ANSYS software showed the model accurately predicted structural responses like compressive strength and failure mechanisms, achieving about 90% agreement with experimental results.
  • The research highlighted the significance of the slenderness ratio, revealing that compressive strength decreases with greater prism height, while overall results indicated good correlation between FE models and experimental data, suggesting potential for further exploration of RCIB masonry systems.
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Medication administration is a critical task of nurses that, if not done appropriately, can lead to fatal errors. New technologies, including barcode medication administration, are intended to decrease medication errors and enhance verification of medication-administration rights. Therefore, in this study, we examined the effect of introducing barcode medication administration on nurses' satisfaction and identified correlates of nurses' satisfaction with barcode medication administration.

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Background: Providing efficient basic life support (BLS) training is crucial for practicing nurses who provide direct patient care. Nevertheless, data addressing the impact of BLS courses on the skills and performance of Jordanian nurses are scarce. This study aimed to assess the effectiveness of a BLS simulation training on Jordanian nurses' skill improvement in cardiopulmonary resuscitation.

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