Research Title: A novel approach for modelling stress fields induced by shallow water flows on movable beds

Author: Alia Radwan Abdallah AlGhsoun, Published Year: 2025

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Faculty: Engineering and Technology

Abstract: Sediment transport in shallow waters occurs when the water flows over the bed for which the amount of generated sediments can be determined from the transport mechanism caused by the consequent flow. Recently, investigating the bedload and sediment transport using numerical models has been rapidly increased and various techniques have been developed to quantify both the hydrodynamics and morphodynamics in these systems but not the stress distributions in the deformed beds. In the present study, we propose a novel class of coupled finite element/finite volume methods to resolve the effect of sedimentary shallow water flows on the internal stresses in bed topographies. The coupled model employs the linear elasticity for the bed and the nonlinear shallow water equations for the water flow. Suspended sediments are also taken into consideration in this study, and impacts of the erosion and deposition are modelled using well-established empirical equations. The linear equations of elasticity are solved numerically using a finite element approach on unstructured meshes, while the nonlinear shallow water equations are numerically solved using a well-balanced finite volume method. We also introduce an accurate algorithm to sample forces on the interface between the water flow and bed topography to be implemented as coupling conditions between finite volume cells and finite element nodes. Distributions of stress fields in the bed topography due to erosion and sediment transport by shallow water flows are presented for several test examples. The novel coupled model is stable, efficient, accurate, well-balanced and it can be used for solving complex geometries. In addition, the proposed approach offers significant advancements in understanding sedimentary processes in shallow water environments and the induced underground stresses as a result of these processes.

Keywords: Sediment transport Erodible beds Stress analysis Linear elasticity Shallow water equations Finite element method Finite volume method

Research Title: Machine Learning-Based Modeling for Structural Engineering: A Comprehensive Survey and Applications Overview

Author: Alia Radwan Abdallah AlGhsoun, Published Year: 2024

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Faculty: Engineering and Technology

Abstract: Modeling and simulation have been extensively used to solve a wide range of problems in structural engineering. However, many simulations require significant computational resources, resulting in exponentially increasing computational time as the spatial and temporal scales of the models increase. This is particularly relevant as the demand for higher fidelity models and simulations increases. Recently, the rapid developments in artificial intelligence technologies, coupled with the wide availability of computational resources and data, have driven the extensive adoption of machine learning techniques to improve the computational accuracy and precision of simulations, which enhances their practicality and potential. In this paper, we present a comprehensive survey of the methodologies and techniques used in this context to solve computationally demanding problems, such as structural system identification, structural design, and prediction applications. Specialized deep neural network algorithms, such as the enhanced probabilistic neural network, have been the subject of numerous articles. However, other machine learning algorithms, including neural dynamic classification and dynamic ensemble learning, have shown significant potential for major advancements in specific applications of structural engineering. Our objective in this paper is to provide a state-of-the-art review of machine learning-based modeling in structural engineering, along with its applications in the following areas: (i) computational mechanics, (ii) structural health monitoring, (iii) structural design and manufacturing, (iv) stress analysis, (v) failure analysis, (vi) material modeling and design, and (vii) optimization problems. We aim to offer a comprehensive overview and provide perspectives on these powerful techniques, which have the potential to become alternatives to conventional modeling methods.

Keywords: machine learning; computational mechanics; structural health monitoring; structural design andmanufacturing; stress analysis; failure analysis;materialmodeling and design; optimization problems

Research Title: Predicting morphodynamics in dam-break flows using combined machine learning and numerical modelling

Author: Alia Radwan Abdallah AlGhsoun, Published Year: 2025

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Faculty: Engineering and Technology

Abstract: Numerical models and machine learning methods are implemented and compared to simulate and predict erosional dambreak flows and bed morphodynamics. The nonlinear shallow water equations, including sediment transport and bedload terms, are solved using a well-balanced finite volume method. Empirical erosion formulas are applied, and the obtained data train and test machine learning models. A comparative study using both computational hydraulics and various machine learning models is presented to simulate and predict erosion flows and bed deformations. The methodology is tested for a dam-break problem over an erodible bed, and results are validated against experimental measurements. The performance of various models, including Bayesian Neural Networks (BNN), K-Nearest Neighbors (KNN), M5 Trees, Multivariate Adaptive Regression Splines (MARS), Multiple Linear Regression (MLR), and Support Vector Machines (SVM), are evaluated in predicting changes in bed and free-surface profiles. In the present study, quantitative evaluations using the coefficient of determination R2 , Nash–Sutcliffe Efficiency (NSE), and normalized Root Mean Square Error (nRMSE) revealed that SVM (with R2 = 0.99 , NSE = 0.99, nRMSE = 0.0245) and BNN (with R2 = 0.98 , NSE = 0.98, nRMSE = 0.035) significantly outperformed other models, with SVM slightly better during validation and testing processes. This methodology optimizes the existing empirical models with machine learning and therefore, improving the prediction reliability for erosional dam-break flows. These findings are very important for hydraulics engineering by providing improved tools for accurate modelling and efficient simulation of sediment transport problems and thus have the potential to support practical applications in the field.

Keywords: Machine learning · Numerical modelling · Sediment transport · Erodible beds · Shallow water equations · Finite volume method

Research Title: Factors Impacting Women Gaining Leadership Roles in the Jordanian Construction Sector: Architects and Civil Engineers

Author: Alaa Saleh Al Shdiefat, Published Year: 2024

Buildings, 14

Faculty: Engineering and Technology

Abstract: Abstract: The persistent underrepresentation of women in leadership positions within the construc tion industry remains a global concern. In Jordan, despite comprising 60.45% and 22.4% of the total workforce of architects and civil engineers, respectively, women’s contribution to management roles is significantly low. Therefore, there is an urgent necessity to examine the factors hindering women’s advancement in the construction sector and their ability to attain leadership positions. This research aims to provide an overview of the current situation in Jordan, focusing specifically on the architectural and civil engineering professions. It presents findings from a desktop study, a survey questionnaire, and focus groups. The Severity Index (SI) formula is utilised to identify critical barriers in the Jordanian context, derived from both the literature review and questionnaire responses. Addi tionally, the Interpretive Structural Modelling (ISM) technique is employed to establish a hierarchy of critical barriers and analyse their interrelationships. The study reveals that the obstacles impeding women from assuming leadership roles in the Jordanian construction sector primarily stem from 20 critical barriers categorised across 11 levels in ISM. Notably, the lack of childcare programmes is identified as a fundamental barrier at the lower level, while informal networks formed by men emerge as the highest-rated barrier at level 11. Addressing and mitigating these challenges is crucial to facilitating women’s progression into leadership positions within the sector and is anticipated to contribute significantly to addressing the growing complexity of modern construction projects.

Keywords: construction; women; leadership; Jordan; barriers

Research Title: ISM Model for Assessing Critical Productivity Factors in the Jordanian Construction Industry Post-COVID-19 Pandemic

Author: Alaa Saleh Al Shdiefat, Published Year: 2024

Organization, Technology and Management in Construction: an International Journal, 16

Faculty: Engineering and Technology

Abstract: Abstract: The construction industry is a human-intensive industry despite the massive development in technologies. Nowadays, after crossing Covid 19 pandemic, the construction industry is an important sector for saving the national economy. The Covid 19 pandemic creates new ways of thinking due to massive and unpredictable socioeconomic consequences. Thus, understanding the critical productivity factors after Covid 19 pandemic will enhance the construction industry by improving the understanding of the professionals who involve at an early stage of the project lifecycle. This study aims to determine the critical productivity factors after Covid 19 pandemic for enhancing the construction industry in developing countries such as Jordan. Review of available literature that similar to the related topics before Covid 19 pandemic were explored, and then a questionnaire was distributed across the Jordanian construction industry to determine the main productivity factors post-covid 19 pandemic. A focus group conducted to determine the interrelationship among the factors using the Interpretive Structural Modelling (ISM) approach. The obtained results indicated twenty-two main productivity factors are affecting the Jordanian construction industry. These factors hierarchy is categorised over six levels of ISM whereas the sixth level has the greatest factors influencing productivity in construction industry. Thus, enhancing productivity in construction projects asks to solve problems related to factors in level 1, which will help to solve problems at the next level and so on.

Keywords: Construction, Productivity, Factors, Jordan, Post-COVID-19 pandemic

Research Title: Pain and anxiety in patients with breast cancer treated with morphine versus tramal with virtual reality

Author: Maha Mohammed Wahbi Atout, Published Year: 2024

HealtH Care for Women InternatIonal, 45

Faculty: Nursing

Abstract: The treatment of pain and anxiety in cancer patients includes both pharmaceutical and non-pharmacological approaches. The researchers of this study aimed to compare the effectiveness of morphine versus Tramal with virtual reality therapy (VR) in reduc- ing pain and anxiety in female patients with breast cancer. The sample was composed of 80 women with breast cancer who where treated at a specialized cancer center in Jordan. A quasi-ex- perimental design was used in the study intervention. When used with VR, the tramal analgesics did not differe significactly from the effect of morphine in reducing the pain and anxiety. However, both groups had a significant drop in the level of pain and anxi- ety. When combined with VR, the use of weak opioids such as Tramal will have nearly the same effect as strong opioids such as Morphine in reducing pain and anxiety in breast cancer patients.

Keywords: Pain, anxiety, breast cancer, morphine, tramal,virtual reality

Research Title: نحو نظرية فلسفية في مواجهة التطرف والعنف والإرهاب

Author: Amani Ghazi Jarrar, Published Year: 2025

أفكار, 433

Faculty: Arts

Abstract: تتناول الدراسة نموذجا من النظريات الفلسفية المختصة بقراءة التاريخ والايديولوجيا التي تتصدى للتطرف والعنف والإرهاب. وتتخذ الدراسة النهج الفلسفي في التحليل، حيث تستدعي النظريات المفسرة للعنف والارهاب عبر التاريخ. وتتخذ الدراسة كل من النموذج العربي والغربي في التحليل المقارن. وتطرح الدراسة السؤال الفلسفي المتعلق بأثر النظرية الفلسفية في قراءة التاريخ ولا سيما نهاية التاريخ نهاية الايديولوجيا وتحلل علاقة ذلك بالحرية والليبرالية في مقابل العنف والارهاب. وتخلص الدراسة الى جملة من الثوابت التي تأصلت عبر التاريخ والتي كان لها الأثر الاكبر في مواجهة صراع الحضارات، وقد أثر ذلك على حالة كراهية الآخر والإرهاب. وأوصت الدراسة بضرورة العمل فكرياً من أجل استئصال أصول الكراهية والعنف والتطرف في جذور العقل المستقيل.

Keywords: نظرية فلسفية، قراءة التاريخ، التطرف، العنف، الإرهاب، ايديولوجيا.

Research Title: دور مأسسة التعليم الدامج في تعزيز تحقيق أهداف التنمية المستدامة في الوطن العربي: الأردن أنموذجاً

Author: Amani Ghazi Jarrar, Published Year: 2025

مجلة جامعة ابن رشد - هولندا, 58

Faculty: Arts

Abstract: هدفت الدراسة إلى تحليل دور مأسسة التعليم الدامج في تعزيز تحقيق أهداف التنمية المستدامة في الوطن العربي من خلال تحليل التجربة الأردنية في التعليم الدامج. وتناولت الدراسة الأسئلة المتعلقة بالمتطلبات الاستراتيجية والتنفيذية لمأسسة التعليم الدامج في الوطن العربي وأثر ذلك على تعزيز تحقيق أهداف التنمية المستدامة في الوطن العربي. تم اتباع منهجية من أجل التعميم، ومن خلال التحليل الكمي والنوعي، تم تحليل التجربة الأردنية في مجال التعليم الدامج، وربط نتائج تحليل هذه التجربة بمتطلبات ماسسة التعليم الدامج، وأثرها على تعزيز تحقيق أهداف التنمية المستدامة؛ وتعميم هذه النتائج على مستوى الوطن العربي. وتوصلت الدراسة إلى مجموعة من النتائج أهمها التأكيد أن السعي لتحقيق تعليم دامج عالي الجودة الأمر الذي يعتبر من أهم مؤشرات تحقيق أهداف التنمية المستدامة عبر الإفادة من هذه الفئة من المجتمعات العربية، من خلال تطوير معايير مشتركة مع الجهات المعنية لجودة التعليم الدامج ليتم تطبيقها في جميع المؤسسات التعليمية من أجل متابعة وتقييم مدى فعالية الخدمات التي يتم تقديمها للطلبة ذوي الإعاقة وجودة مخرجاتهم التعليمية.وأوصت الدراسة بضرورة العمل على رفع مستوى التواصل التفاعلي بين صانعي السياسات وبين المسؤولين والمنفذين لممارسات التعليم الدامج في المجتمعات المدرسية من أجل التشاركية في تحديد الممارسات النموذجية، وبالتالي التمكن من قياس الأثر المتحقق من مأسسة التعليم الدامج في تعزيز تحقيق أهداف التنمية المستدامة.

Keywords: التعليم الدامج، مأسسة التعليم الدامج، أهداف التنمية المستدامة، الأردن، الوطن العربي.

Research Title: حروف الجر في شعر الرصافي البلنسي: دراسة وصفية تحليلية

Author: Omar Faris Yousif AlKafaween, Published Year: 2024

المجلة الأردنية في اللغة العربية وآدابها, 20

Faculty: Arts

Abstract: تناولت هذه الدراسة حروف الجر في شعر الرصافي البلنسي الأندلسي، ودرستها دراسة إحصائية لبيان أثرها في شعره على المستويين: المعنى والإيقاع، هادفة إلى إبراز عدد استعمالاتها في شعره ونسبة ورودها إلى عدد أبياته الكلي، وإظهار دورها في تمثيل دلالاته وتوضيحها، مما يؤدي إلى فهمها، فضلًا عن أثرها في تمثيل إيقاعات شعره وأوزانه، معتمدة المنهج الوصفي التحليلي، وذلك من خلال دراسة إحصاء استعمالات حروف الجر ودراسة وظائفها وتحليلها، وخلصت إلى أنه استخدم تسعة حروف جر، هي على الترتيب من الأعلى استخدامًا إلى الأدنى: الباء، ومن، وفي، واللام، وعلى، وإلى، والكاف، وعن وربّ، وأنه كان لها دور فاعل في تمثيل المعاني والإيقاع.

Keywords: شعر البلنسي، حروف الجر، الدلالات، الإيقاع

Research Title: التماسك النصي في قصيدة "شَدَّ الإمامُ بكُمْ للدِّينِ أركَانَا" لابن مَرْج الكُحْل الأندلسيّ

Author: Omar Faris Yousif AlKafaween, Published Year: 2025

دراسات: العلوم الإنسانية والاجتماعية, 52/4

Faculty: Arts

Abstract: الأهداف: رصد آليات التماسك النصي اللغوية والمعجمية في القصيدة، وإظهار دورها في تمثيل المعاني والإيقاع، وإسهامها في تحقيق ذلك التماسك. المنهجية: اعتمدت الدراسة على المنهج الوصفي في رصد آليات التماسك النصي وعرضها، واستعانت بالتحليل لدورها في الكشف عن أثر تلك الآليات في تحقيق التماسك النصي، والتعبير عن المعاني. النتائج: ظهرت آليات الإحالة، والوصل، والحذف، والتكرار والتضام في القصيدة أكثر من غيرها، وساعدت في إكسابها تماسكًا نصيًّا وإيقاعيًّا، وأسهمت في تحقيق النصية، والتعبير عن المعاني المفضية إلى الغرض الرئيس وهو المدح. الخلاصة: رصدت الدراسة آليات التماسك النصي البارزة في القصيدة، وحللتها وأظهرت دورها في تحقيق الترابط بين أجزائها، وأثرها في تمثيل المعاني والإيقاع، وخلصت إلى أن هذه الآليات أسهمت في جعل النص متماسكًا قادرًا على تمثيل غرض المدح وإيصاله للمتلقي. ويوصي الباحث بضرورة الالتفات إلى النصوص الإبداعية القديمة، ولا سيما عند شعراء الأندلس، ودراستها وفق النظريات النقدية الحديثة.

Keywords: ابن مَرْج الكُحْل، قصيدة شَدَّ الإمام، التماسك النصي