مشاريع طلاب خريف 2024 - F24
PHOTOGRAMMETRY-DRIVEN HBIM: Improving Accuracy and Efficient Integration in Construction and Heritage Documentation - A Study on Data Accuracy, Usability, and Workflow Optimization
The destruction of cultural heritage in conflict-affected regions presents an urgent challenge for conservation, recovery, and the safeguarding of collective memory. In Aleppo, Syria, monuments such as Al-Takiyya Al-Rifa’aia and Al-Tunbugha Mosque have suffered severe damage, underscoring the need for accurate, efficient, and sustainable documentation methods.
This research responds to that need by developing, applying, and evaluating a methodological framework that integrates photogrammetry and Heritage Building Information Modeling (HBIM), benchmarked against surveying standards.
The study adopts a two-stage case study design. A pilot case (Al-Takiyya al-Rifaʿia al-Ikhlasia) tested photogrammetry-to-HBIM workflows, identified limitations, and guided methodological refinements. The main case (Al-Tunbugha Mosque) applied the refined approach, enhanced dense point clouds, incorporating UAV-based image acquisition and HBIM modeling at varying Levels of Detail (LoD 300–500). Accuracy was evaluated through comparisons with ground control points, using metrics such as coordinate deviations (ΔX, ΔY, ΔZ), distance deviations (Δd), 3D errors (Δ3D), angular deviations (Δθ), and statistical measures (bias, MAE, RMSE, P95). Performance indicators—time, cost, computational resources, and visualization quality—were also systematically assessed.
Results demonstrate that photogrammetry can achieve sub-centimetric to centimetric accuracy when validated against survey benchmarks, producing models suitable for conservation planning. HBIM added semantic richness and long-term management potential but required compromises between geometric fidelity and modeling effort. In this study, all architectural elements and components were modeled at LoD 500, ensuring maximum geometric and semantic detail, particularly valuable for conservation of fragile inscriptions and fine features. The comparative analysis of the pilot and main studies revealed trade-offs between accuracy and efficiency, highlighting the practical value of combining photogrammetry and HBIM within a unified workflow.
The research makes three contributions. Methodologically, it offers a validated workflow that integrates photogrammetry and HBIM, tested under post-conflict conditions. Practically, it provides a digital record of Aleppo’s heritage, supporting conservation planning and future reconstruction. Academically, it addresses a gap in Syrian heritage studies by providing systematic evidence of accuracy and performance, linking international documentation standards (CIPA/ICOMOS, BIM tolerances) to local application.
This study demonstrates that digital workflows, when rigorously validated, can deliver both accuracy and usability for heritage documentation in fragile contexts. It proposes a replicable framework for Syrian and other post-conflict heritage sites, contributing to the international discourse on digital heritage, conservation, and the creation of sustainable “digital twins” of cultural monuments at risk
إعداد: الطالب اياس جمال عب الناصر ابرص
إشراف: الدكتور أحمد ياسر ضاشوالي
تطوير إطار عمل متكامل لتعزيز صيانة الأنظمة الكهربائية باستخدام النموذج الرقمي المزدوج (Digital Twin) المكون من نموذج BIM وإنترنت الأشياءIOT والذكاء الاصطناعي AI
Developing an integrated framework to enhance the maintenance of electrical systems using the Digital Twin model composed of BIM, IoT, and AI.
Modern facilities are witnesing rapid advancements in the complexity of their electrical systems, posing significant challenges for their management and maintenance. Traditional maintenance methods predominantly rely on fixed schedules or reactive interventions after a failure occurs. This leads to increased operational costs, reduced equipment lifespan, and disruptions to essential services. In this context, advanced digital modeling and Fourth Industrial Revolution technologies are emerging as transformative solutions capable of redefining the concept of facility management.
Building Information Modeling (BIM) is the core of this transformation, representing a comprehensive digital model that reflects the physical and functional characteristics of a facility. However, the true value of this model is realized when it is integrated with other innovative technologies. The Internet of Things (IoT) brings the static model to life through a network of smart sensors that monitor electrical performance data—such as temperature, current, and vibrations—in real-time. This massive, real-time data creates tremendous opportunities for intelligent analysis.
Here, the third component, Artificial Intelligence (AI), integrates into the system to act as its mastermind. Machine learning and deep learning algorithms analyze the data streams from IoT sensors to detect patterns and anomalies that indicate potential faults. This enables maintenance teams to shift from a reactive approach to a proactive and predictive one.
Consequently, this research aims to develop an integrated framework that combines the power of BIM for digital representation, the capabilities of IoT for continuous monitoring, and the intelligence of AI for predictive analysis, all to enhance electrical maintenance operations. This integration will contribute to improving energy efficiency, reducing costs, increasing reliability, and enhancing safety, thereby laying the foundation for smart, adaptable, and resilient future facilities.
إعداد: الطالب المهندس بشار العبود
إشراف: الدكتور بلال زعرور
دور نمذجة معلومات البناء في تصميم أنظمة إدارة طاقة المباني BEMS "دراسة حالة: نظام التدفئة والتهوية وتكييف الهواء لمبنى خدمي"
“The Role of BIM in the Design of Building Energy Management Systems (BEMS)
Case Study: HVAC System for a Service Building”
Service buildings constitute one of the most energy-intensive sectors globally, as Heating, Ventilation, and Air Conditioning (HVAC) systems account for up to 60% of this consumption. Despite the significant advancement in Building Information Modeling (BIM) tools and Building Energy Management Systems (BEMS), a research gap persists concerning the utilization of the full dynamic potential of precise BIM models to support decision-making processes in the early design stages of HVAC systems, particularly with regard to using rich data from BIM models to improve the initial design of HVAC systems and analyze their thermal performance. This study aims to bridge this gap by proposing and applying an integrated methodological framework that directly links the building’s three-dimensional digital model with thermal load analysis to determine the optimal specifications of the HVAC system. The research adopted an applied case study methodology using Autodesk Revit software to model a hypothetical hotel building with full architectural and mechanical details. Subsequently, a detailed thermal load analysis was conducted using the integrated analysis tool (Revit HVAC Analysis) to simulate system performance under three distinct scenarios: (1) the baseline scenario (without thermal insulation), (2) the energy efficiency scenario (by adding 50 mm polyurethane thermal insulation to walls and roofs and replacing single glazing with double glazing), (3) the building functional use change scenario (changing building occupancy from a restaurant to a gymnasium and from a kitchen to a sauna room). Simulation results revealed a significant decrease in the system’s total thermal load amounting to 2.8 tons (equivalent to 28.57%) and a reduction in required airflow by 602.5 liters/second (43%) in the energy efficiency scenario, confirming the critical impact of the building envelope’s characteristics, which can be accurately analyzed and evaluated at an early stage through the building information model. On the other hand, the building functional use change scenario showed an increase in load amounting to 4.2 tons (30%) due to changes in occupancy density and internal loads, highlighting the digital model’s ability to accommodate fundamental changes in building use and provide accurate data to reassess HVAC system requirements, thereby avoiding costly redesigns after construction. The study concludes that the proposed framework is not merely an energy analysis tool, but a platform for supporting performance-based design decision-making. It emphasizes that the organic integration between BIM and BEMS represents a qualitative leap toward constructing intelligent buildings characterized by high flexibility and sustainability, and recommends adopting this approach as a standard in early design phases. It also suggests that future research should expand into integrating artificial intelligence and real-time prediction technologies.
إعداد: الطالبة يمام شهم ورده
إشراف: الدكتورة ضحى جديد - الدكتور بلال زعرور
خطة صيانة مستدامة لمحطة متروباص دمشق ونموذج طرقي ( محطة ماروتا في مشروع دمشق الكبرى المستدامة)
Sustainable Maintenance Plan for the Damascus Metrobus Station and a Roadway Model (Marota Station within the Greater Sustainable Damascus Project)
This research presents an in-depth study on leveraging the advanced capabilities of Building Information Modeling) BIM (within the transportation infrastructure sector. It focuses on developing a proactive and sustainable approach to the maintenance of Bus Rapid Transit (BRT) stations. The project aims to provide an innovative solution that integrates 3D modeling with time-based planning by creating a detailed digital model of a BRT station in the Greater Damascus region using Revit.
In this work, the digital model was linked to Synchro, which generated a 4D model that enables precise scheduling of preventive maintenance tasks. This methodology helps in anticipating maintenance needs, thereby reducing unscheduled downtimes, enhancing operational efficiency, and extending the lifespan of assets.
The findings of this study demonstrate that the application of BIM in maintenance management is a cornerstone for more sustainable and cost-effective asset management. More importantly, this research serves as a pioneering model for future reconstruction projects in Damascus, emphasizing the potential of such initiatives to drive urban development, alleviate the transportation crisis, and improve the quality of life for the city's residents when applied across all its vital axes.
إعداد: الطالبة آلاء غسان بدوي
إشراف: الدكتور علاء جمال قاضي
خطة صيانة مستدامة لمحطة متروباص دمشق ونموذج طرقي ( محطة ماروتا في مشروع دمشق الكبرى المستدامة)
تصميم المباني القابلة للتفكیك باستخدام جوازات المواد الرقمية
The Design of Buildings for Disassembly Using Digital Material Passports
In light of the global trend towards a circular economy and sustainability in the construction sector, Design for Disassembly DfD emerges as a fundamental methodology for building flexible and reusable structures. However, its application, especially in the Arab context, still faces challenges due to the absence of quantitative and automated assessment tools that effectively integrate DfD principles within a Building Information Modeling BIM environment.
This research aims to develop and implement an integrated framework to address this problem by designing and evaluating disassemblable buildings using digital tools. This was achieved through an applied methodology that began with designing a case study in an Autodesk Revit environment and enriching it with data by creating "digital material passports" using shared parameters and schedules.
To transition from descriptive documentation to quantitative analysis, an innovative computational model for assessing disassemblability was developed, based on three weighted criteria: fastening method, ease of disassembly, and degree of reusability. This computational model was automated by building a dedicated script in Dynamo, which reads material passport data, calculates a "Disassembly Index" for each element, and then updates the BIM model with the results.
This process concludes with the creation of an analytical Performance Color Map within Revit, an effective visual tool that provides immediate feedback on the design's strengths and weaknesses and serves as a proactive decision-support tool. The research concludes by presenting a comprehensive and clear workflow that transforms the BIM model from a static data repository into a dynamic analytical tool, opening new horizons for designers and engineers to effectively adopt data-driven circular design principles in the region.
This research emphasizes its contribution to advancing sustainability and the circular economy in the construction sector by enabling the reuse of building components and minimizing resource waste. This is achieved through the development of a digital disassembly index and its seamless integration with material passports.
إعداد: الطالبة حلا أحمد
إشراف: الدكتورة سونيا أحمد
تصميم المباني القابلة للتفكیك باستخدام جوازات المواد الرقمية