The Impact of Building Material Modeling on Enhancing Building Sustainability (Shadow and Lighting): A Case Study of a Residential Building in Basilia

Mary Abou; Naoras; Alaa J.

doi:https://doi.org/10.54216/IJBES.100206

Metaheuristic Optimization Review | 2025

A Review on Waste Management Techniques for Sustainable Energy Production

Generating electricity from renewable and sustainable resources is one of the world's most urgent requirements because of the growing energy consumption and adverse effects of fossil fuels. Waste disposal provides a noble chance of. Currently, waste can produce energy to help conserve the environment and resources. That is why there is a need to introduce innovative WTE technologies, such as thermal, biological, and physicochemical processes, since global waste production is expected to rise by 70 percent by 2050. Such systems allow the energy to be reclaimed and reduce landfill and greenhouse gas incidents. Evolutionary approaches are most helpful in optimizing the system; they include genetic algorithms, particle swarms, and optimization neural networks. Integrating waste management, RE, and computational tools introduces potential approaches toward energy and waste. This work comprehensively reviewed integrated solutions for technical, operational, and social issues related to WTE implementation and provided innovative and economically reasonable ideas for future advancement.

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Mahmoud Elshabrawy Mohamed mail

link https://doi.org/10.54216/MOR.030205

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Prospects for Applied Mathematics and Data Analysis | 2024

Characteristics Neutrosophic Ideals For Neutrosophic Rings: On Review

The main objective of this paper is to present a review study with more information on the neutrosophic Ideal, Principle Ideal, Prim Ideal, Pseudo Neutrosophic Ideal, Quotient ring, and Pseudo Quotient ring. Neutrosophic ring theory is a branch of neutrosophic Algebra which introduced by Florentin Smarandache in 2006.

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Shawqi Al-lkami mail -

Adel Al-odhari mail

link https://doi.org/10.54216/PAMDA.040101

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

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Pure Mathematics for Theoretical Computer Science | 2024

Fuzzy Generalized Poisson Doubles Hurdle Model (FGPDH) on the Leukemia in Iraq

and Fuzzy Generalized Double Hurdle (FGPDH)—to estimate and predict patient outcomes. We used the Firefly Algorithm to optimize and estimate the parameters for these models. Among them, the FGPDH model consistently provided the most accurate predictions, closely matching the actual values. The Generalized Double Hurdle model also performed well, significantly improving accuracy by capturing the complexity of the data. In contrast, models like Poisson, Single Hurdle, and Double Hurdle Poisson showed less predictive accuracy due to higher error rates. Our proposed FGPDH model, enhanced with the Firefly Algorithm, effectively handles uncertainty and complexity, making it the most reliable and precise approach in this context.

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Adel Abbood Najm mail -

Bashar Khalid Ali mail

link https://doi.org/10.54216/PMTCS.040205

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2025

Intelligent Remote Sensing Scene Classification Model for On-Board Training of Resource-Constrained Devices

Remote Sensing Scene Classification (RSSC) is the distinctive classification of remote sensing images into numerous classes of scene classifications based on the image content. RSSC plays a significant role in several domains, like land mapping, agriculture, and the classification of disaster-prone regions. The Internet of Things (IoT) is a dynamic global network of devices, for example, vehicles, sensors, actuators, surveillance cameras, etc. These interconnected objects were distinctively recognizable and they could separately transfer and obtain valuable data through the network. However, satellite images were frequently degraded and blurred owing to aerosol dispersion under haze, fog, and other weather circumstances, decreasing the color fidelity and contrast of the image. To use effectual RSSC in real-time, widespread researchers concentrate on creating aerospace image processing systems, like airborne or spaceborne systems. Recently, with the quick improvement of deep learning (DL) and Machine learning (ML) techniques, the performance of RSSC has significantly developed owing to the hierarchical feature representation learning. Both technique has greater achievement in the domain of image scene classification. This study presents a Leveraging Tiny Convolutional Neural Networks with a Water Cycle Algorithm for Remote Sensing Scene Classification (LTCNN-WCRSSC) model. The LTCNN-WCRSSC technique is designed for efficient RSS classification in resource-constrained devices with on-board training capabilities. At first, the LTCNN-WCRSSC model applies image processing using a median filter (MF) to eliminate the noise. Next, the feature extraction process can be exploited by the ConvNeXt-Tiny method. For the RSSC model, the spatiotemporal attention bidirectional long short-term memory (STA-BiLSTM) technique is performed. Eventually, the water cycle algorithm (WCA)-based hyperparameter choice process can be performed to optimize the classification results of the STA-BiLSTM algorithm. The experimental evaluation of the LTCNN-WCRSSC technique takes place using a benchmark image dataset. The stimulated results indicated the superior performances of the LTCNN-WCRSSC model over other approaches.

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Ahmad Khaldi mail -

Josef Al Jumayel mail

link https://doi.org/10.54216/JCHCI.090101

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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International Journal of BIM and Engineering Science | 2025

Proposal for a BIM Adoption Framework in the Syrian Engineers Syndicate: A Case Study of the Homs Branch

The application of the Building Information Modelling (BIM) concept has become an indispensable necessity in the Architecture, Engineering, Construction, and Operations (AECO) sector. This has been evident in the experiences of numerous Arab and foreign countries that have changed their policies and issued new standards, guidelines, and codes for implementation. In Syria, we must also embark on the reconstruction phase, with its massive investment projects, using BIM technology. The primary driver of this change will undoubtedly be the government sector by imposing new policies at all levels across all institutions. Therefore, this study aims to highlight the mechanism of the Syrian Engineers Syndicate as a political authority capable of making structural modifications to the policies followed in carrying out engineering works and, from its position, able to mandate the use of BIM. Accordingly, the researcher analyzed the internal system of the Syrian Engineers Syndicate to examine the required modifications and proposed a framework for adopting BIM in engineering syndicates. The study focuses on establishing a "Building Information Modelling and Management Committee" within the Engineers Syndicate in Homs Governorate as a case study, suggesting its structure, job titles for its members, and their roles. This study aims to develop current policies and create the first-of-its-kind guide for engineering syndicates in Syria. The researcher relied on the content analysis method of previous studies to benefit from international experiences related to the importance of activating the government’s role in adopting the BIM concept. Additionally, the researcher adopted the strategic plan methodology for the adoption of BIM in Syria, considering it the general guide and leader in the digital transformation process in Syria

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Nour Kabbani mail -

Sonia Ahmed mail -

Raghad Safour mail

link https://doi.org/10.54216/IJBES.100201

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

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International Journal of BIM and Engineering Science | 2025

Using Point Clouds for Creating a Digital Model of an Existing Building and Its Application in Mechanical Systems Maintenance-Systematic Review

This research addresses the challenge of creating accurate 3D BIM models for existing buildings using laser scanning and point cloud technologies, enabling effective documentation, management, and use in mechanical system maintenance. The study also aims to assess the integration effectiveness of these technologies with BIM software in facility management, shedding light on challenges related to workforce and resource shortages for their implementation. It emphasizes the importance of raising awareness about the benefits of using point clouds and their applications to enhance maintenance operations and building sustainability, thereby enhancing the ability to make informed technical and economic decisions to achieve comprehensive maintenance goals.

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Rawan Abboud mail -

Sonia Ahmed mail -

Samer Darwish mail

link https://doi.org/10.54216/IJBES.100202

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

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International Journal of BIM and Engineering Science | 2025

Integrating Building Information Modeling (BIM) into Architectural Education: Pedagogical Challenges and Future Prospects: Case Study: Tartus University

This study investigates the challenges hindering the integration of Building Information Modeling (BIM) into architectural curricula in Syria, particularly at Tartus University. Despite growing industry recognition of BIM's benefits, academic institutions have exhibited initial resistance. The study analyzes existing BIM curricula, compares them to global benchmarks, and identifies key obstacles such as weak industry-academia links, insufficient resources, traditional teaching methods, and a lack of BIM expertise among faculty. To address these challenges, the study proposes a framework that includes strengthening industry-academia partnerships, enhancing financial and technical support, updating curricula and pedagogy, investing in faculty development, and establishing BIM centers of excellence. By implementing these strategies, Syrian universities can effectively integrate BIM into their curricula, bridging the gap between academia and the professional architectural community.

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Zeina Naddeh mail -

Rana Maya mail -

Waleed Mahfouz M. A. Youssef mail

link https://doi.org/10.54216/IJBES.100203

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

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International Journal of BIM and Engineering Science | 2025

The Impact of Building Material Modeling on Enhancing Building Sustainability (Energy Efficiency): A Case Study of a Residential Building in Basilia

This research aims to study the impact of building materials modeling on enhancing building sustainability through a case study of a residential building within the Basilia City planning scheme in Damascus, which is being transformed into a sustainable area using sustainable design techniques. The study is based on analyzing plot EA-189 in the Kfar Sousseh area by evaluating the thermal efficiency of the proposed building materials and comparing them with other materials using the Insight Solar tool in Autodesk Revit.The study involves analyzing three scenarios using different building materials: (1) Concrete blocks with air insulation and a bituminous insulated roof, (2) Brick with fiberglass insulation and a green roof, (3) A mix of brick and concrete blocks on different facades and a green roof. The results show that the second scenario provides the highest energy efficiency and best indoor air quality, despite its higher cost. The third scenario, which combines brick and concrete blocks, offers a balance between energy efficiency and cost, making it the optimal choice for future construction projects. The study demonstrates that building information modeling (BIM) enhances the effectiveness of sustainable design strategies and contributes to improved energy performance and environmental comfort of buildings.

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Mary Abou Sekka mail -

Naoras Khalil mail -

Alaa J Kadi mail

link https://doi.org/10.54216/IJBES.100204

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

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International Journal of BIM and Engineering Science | 2025

The Impact of Building Material Modeling on Enhancing Building Sustainability (Carbon Emissions): A Case Study of a Residential Building in Basilia

This study addresses the impact of modeling building materials on improving building sustainability by analyzing a case study of a residential building in the Baselia area of Damascus, which has experienced the removal of orchards, leading to negative environmental impacts. The research focuses on evaluating the carbon footprint of the building materials used in the structure and cladding, utilizing Autodesk Forma to analyze life cycle and energy efficiency. The study includes an analysis of the impact of five different building materials on carbon emissions during the stages of production, transportation, installation, use, and disposal. Results show that composite steel has the highest carbon emissions compared to other materials, while wood materials, such as timber frame and mass timber, have the lowest emissions. For internal cladding, the differences between materials were relatively minor. The study recommends selecting building materials with lower environmental impact and enhancing energy efficiency, which contributes to reducing carbon emissions in the construction sector and supports achieving sustainability goals.

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Mary Abou Sekka mail -

Naoras Khalil mail -

Alaa J Kadi mail

link https://doi.org/10.54216/IJBES.100205

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2025

The Impact of Building Material Modeling on Enhancing Building Sustainability (Shadow and Lighting): A Case Study of a Residential Building in Basilia

  This study examines the impact of building material modeling on enhancing building sustainability through a case study of a residential building in the city of Basilia. The focus is on using Revit 2023 to model the building and analyze how building materials affect its sustainability. The modeling process includes analyzing the shadows cast by architectural elements and studying their impact on the performance of the building materials. Shadow reflections on energy and material efficiency are measured to determine how building sustainability can be improved through material design and distribution adjustments. Additionally, Revit Insight 2025 is used to evaluate the extent to which natural lighting is achieved through the building envelope and to study the impact of materials on lighting quality and energy efficiency. The research addresses how the building benefits from natural lighting and how this can be optimized with appropriate materials to achieve maximum energy efficiency and reduce environmental impact. The study aims to provide a comprehensive model demonstrating how building sustainability can be enhanced through improved modeling of building materials and analysis of their environmental performance. Through these analyses, the research seeks to offer strategies and recommendations for designing more sustainable and energy-efficient buildings.

groups

Mary Abou Sekka mail -

Naoras Khalil mail -

Alaa J. Kadi mail

link https://doi.org/10.54216/IJBES.100206

Volume & Issue

Vol. Volume 10 / Iss. Issue 2

Details open_in_new