ORCID Profile
0000-0002-3238-8121
Current Organisations
University of Jordan
,
Qassim University
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Publisher: Informa UK Limited
Date: 24-04-2023
Publisher: Springer Science and Business Media LLC
Date: 15-06-2020
Publisher: MDPI AG
Date: 29-09-2023
Publisher: MDPI AG
Date: 07-06-2023
DOI: 10.3390/BUILDINGS13061477
Abstract: To meet energy-saving requirements, in recent years, Saudi Arabia’s construction industry has focused on researching the use of naturally available resources as raw materials. This study looks at the behavior of Viroc, specifically using pinewood and its compression properties in eco-friendly concrete. The study demonstrates the feasibility of adding pinewood to concrete and provides a theoretical basis for the promotion of dry pinewood particles and Portland cement composite materials. The Viroc specimens used in the study are 18 mm long, 12 mm wide, and 12 mm deep. The mechanical properties of the specimens were tested and compared by using a universal testing machine (UTM) and the Ansys software program 2022. The test results show that Viroc can increase the compression strength and modulus of the construction material as well as increase its brittleness and toughness (mechanical properties). The results show that it is feasible to incorporate wood and cement, resulting in a new type of Viroc composite material in an eco-friendly environment.
Publisher: MDPI AG
Date: 14-04-2022
DOI: 10.3390/MA15082889
Abstract: Over the past few years, the popularity of graphene as a potential 2D material has increased since graphene-based materials have applications in a variety of fields, including medicine, engineering, energy, and the environment. A large number of graphene sheets as well as an understanding of graphene’s structural hierarchy are critical to the development of graphene-based materials. For a variety of purposes, it is essential to understand the fundamental structural properties of graphene. Molecular descriptors were used in this study to investigate graphene sheets’ structural behaviour. Based on our findings, reverse degree-based molecular descriptors can significantly affect the exchange-correlation energy prediction. For the exchange-correlation energy of graphene sheets, a linear regression analysis was conducted using the reverse general inverse sum indeg descriptor, RGISI(p,q). From RGISI(p,q), a set of reverse topological descriptors can be obtained all at once as a special case, resulting in a model with a high correlation coefficient (R between 0.896 and 0.998). Used together, these reverse descriptors are graphed in relation to their response to graphene. Based on this study’s findings, it is possible to predict the exchange correlation energy as well as the geometric structures of graphene sheets with very little computational cost.
Publisher: Elsevier BV
Date: 12-2017
Publisher: MDPI AG
Date: 21-10-2022
Abstract: This study examined the mechanical performance of 3D-printed, fiber-reinforced composites with a rectangular shape and a hole at one end. Nyon-6 was selected as a polymer matrix, and glass or Kevlar fibers were selected as continuous fibers due to their wide range of applications. Nylon is an engineering thermoplastic reinforcing it with fibers, such as glass fiber or Kevlar, can significantly improve its mechanical properties. An analytical model was constructed based on the volume average stiffness approach to predict the mechanical properties of 3D-printed specimens. A numerical model was built to predict failure modes and damage in 3D-printed specimens with different fiber orientations. The stress–strain relationship was linear in all composites. For Kevlar-based composites, the maximum stress was 1.7 MPa, 3.62 MPa, 2.2 MPa, 1.0 MPa, and 1.4 MPa for the orientation angles of 0°, 22.5°, 45°, 67.5°, and 90°, respectively. Overall, Kevlar-based composites exhibited mechanical properties superior to those of glass-based composites. The effect of the fiber orientation was also different between the two systems. The simulation results predicted that the failure propagation begins in the areas close to the hole. Notably, the level of agreement between the simulated and experimental results varied depending on the fiber type and orientation, reflecting the complex interplay between multiple fibers, matrix interactions, and stress transfer.
Publisher: SAGE Publications
Date: 2023
DOI: 10.1177/17455057221150099
Abstract: The coronavirus disease 2019 pandemic has been an extraordinarily stressful situation in recent years. Stress is a physiological reaction to negative stimuli that is regulated by different neuroendocrine pathways. The female reproductive function is maintained by the menstrual cycle, which is negatively affected by hyperstimulation of stress signals. This study evaluates the effect of the coronavirus disease 2019 outbreak on menstrual function and mental health, exploring the relationship between them. The current study uses a cross-sectional, survey-based design. During this cross-sectional study, an online self-completion questionnaire was conducted among a s le of 385 Jordanian female medical students during the pandemic. The survey compared menstrual characteristics, depression, anxiety, and stress 10 months after the coronavirus disease 2019 pandemic with 10 months prior. Paired t-test, McNemar’s test, Pearson’s correlation, and multiple linear regression model were employed to analyze data using SPSS software. The mean age of female medical student respondents was 19.89 years. Data showed that the menstrual cycle length significantly increased during the coronavirus disease 2019 pandemic compared with 10 months prior (32.23 days versus 30.02 days, p = 0.019). The average number of heavy bleeding days also increased during the coronavirus disease 2019 pandemic (2.82 days versus 2.42 days, p = 0.002). The proportion of females with heavy bleeding amount was more than doubled during the pandemic of coronavirus disease 2019 compared with before (27.3% versus 10.4%, p = 0.000). Unpleasant menstrual signs such as nausea and/or vomiting, breast pain, and urinary urgency were significantly increased during the pandemic ( p = 0.000, p = 0.008, and p = 0.024, respectively). During coronavirus disease 2019, a positive association between total Depression, Anxiety, and Stress Scale-21 Questionnaire score and heavy bleeding was identified ( p 0.05). The findings also indicated that mental disorders and the incidence of amenorrhea, nausea and/or vomiting, and urinary urgency were positively correlated during the coronavirus disease 2019 pandemic. The multiple regression analysis revealed associations between several menstrual characteristics such as amenorrhea and severity of bleeding with coronavirus disease 2019-related depression, anxiety, and stress. This study revealed that the stress related to the pandemic of coronavirus disease 2019 could affect the female menstrual cycle and hence the quality of women’s life. Therefore, this study could serve as a baseline for planning and introducing stress mitigation interventions in crisis situations to improve the physiological and mental well-being of females and improve their quality of life.
Publisher: Springer Science and Business Media LLC
Date: 29-07-2020
DOI: 10.1186/S40563-020-00128-1
Abstract: Accurate simulation of mechanical properties of 3D-printed objects can provide critical inputs to designers and manufacturers. Polylactic acid, a biodegradable polymer, is particularly important in this regard due to its excellent print quality and a wide range of applications. Herein, an accurate uniaxial stress–strain profile simulation of 3D-printed PLA is reported. Nonlinear Finite Element Analysis (FEA) was used to simulate the uniaxial tensile test and build a material model for the prediction of the stress–strain response. 3D model for this nonlinear FEA study was built in SolidWorks, and several measures were taken to simulate the nonlinear stress–strain response with high accuracy. Von Mises stress, resultant displacement, and strain plots were produced. Comparison with experimental data extracted from the literature was done to validate the FEA model. Fracture behavior was predicted by FEA stress distribution. Deviations between the stress–strain plot obtained by FEA from the experimentally obtained plot were minimal. The entire curve, except the failure zone, could be precisely simulated. Furthermore, the developed von Mises plasticity material model and the boundary conditions also captured the behavior of specimen under uniaxial tension load and the deviation between experimental results was minor. These results suggest that the developed material model could be useful in non-linear FEA studies on 3D printed PLA objects which are expected to withstand tensile stress.
Publisher: IOP Publishing
Date: 07-2018
Publisher: Walter de Gruyter GmbH
Date: 2023
Abstract: Strolling is a complex activity that requires the synchronization of the brain, anxiety, and muscles, as well as rhythmic movement of the lower limbs. Gait may be abnormal if coordination is disrupted. As a result, exoskeletons should be used to treat it effectively. The connection and other systems contained in the exoskeletons could be used to mimic the behavior of the human lower leg. These mechanisms are created utilizing complex traditional methods. This study proposes a new gait-inspired method based on a genetic algorithm (GA) for synthesizing a four-bar mechanism for exoskeletons. For each phase of the gait, the trajectory is calculated and merged using optimization algorithms. Each phase of the trajectory passes through 10 precision points, for an entirety of 20 precision points in 1 gait cycle. For the problem under consideration, it is discovered that the GA outperforms other literature techniques. Finally, the proposed design for a lower limb exoskeleton is depicted as a solid model. Furthermore, the generated link-age accurately tracks all the transition points, and the simulation of the planned linkage for one gait cycle has been illustrated using a stick diagram.
Location: United States of America
No related grants have been discovered for Mohammed Albadrani.