https://cfbejournal.abu.ac.ir/ Concepts and Functions in the Building Engineering en daily 1 Mon, 01 Sep 2025 00:00:00 +0330 Mon, 01 Sep 2025 00:00:00 +0330 https://cfbejournal.abu.ac.ir/article_727882.html In recent decades, with significant advancements in data science and optimization algorithms, the use of novel methods to solve complex civil engineering problems has increasingly gained attention. One such method is the Giza Pyramid Construction Algorithm (GPC), which, following the construction process of the Giza pyramids, has been applied to optimize complex problems in various fields, including structural engineering. The Giza pyramids, architectural and engineering masterpieces from ancient times, demonstrate the high skill and knowledge of the engineers of that era in the optimal use of resources and mastery of structural dimensions. This strategy, from an algorithmic perspective, can assist contemporary optimization methods and structural analysis. By simulating the construction process of these pyramids, the mentioned algorithm enables civil engineers to provide intelligent and effective solutions in structural design, analysis, and optimization problems. This research investigates the applications of the Giza Pyramid Construction Algorithm in civil engineering optimization and will attempt to show how this algorithm can help improve efficiency, reduce costs, and increase safety in construction projects. Subsequently, the theoretical foundations, methodology, and related case studies of this algorithm will be examined to illustrate its significance and potentials in civil engineering. https://cfbejournal.abu.ac.ir/article_727883.html Modern architecture faces numerous challenges, including the need for rapid and cost-effective construction in crisis situations, as well as the necessity of paying attention to environmental sustainability. In this context, the present study aims to examine the performance and feasibility of applying the design and construction approaches of Shigeru Ban, the renowned Japanese architect known for his innovative use of recycled materials and human-centered designs, in the field of Iranian architecture. The research method is based on analyzing and reviewing Shigeru Ban’s design and construction principles and adapting them to the needs and challenges of Iranian architecture. The results of this study indicate that Shigeru Ban’s innovative and humanistic principles—especially the emphasis on the use of local and recycled materials and temporary, disaster-resistant structures—can offer effective solutions to address the high vulnerability of some regions in Iran to natural disasters, as well as promote sustainability in the construction industry. However, successful implementation of these methods requires attention to challenges such as localizing construction technologies, developing appropriate regulations, and training specialized personnel. Furthermore, this study highlights the high potential of Shigeru Ban’s approaches to inspire positive transformations in Iranian architecture. https://cfbejournal.abu.ac.ir/article_727885.html The present research aims to evaluate the urban renewal and rehabilitation plan for the Sirous neighborhood located in the dilapidated fabric of Tehran’s District 12. It attempts to assess this neighborhood using the phenomenon of gentrification of natives. This research is applied and practical in nature based on its objectives, and it employs a descriptive-analytical evaluation method. Information was gathered using library-documentary methods and surveys. Given the dilapidation of the Sirous fabric and the proposed reconstruction and regeneration plans, and considering that it is one of the old and central neighborhoods in Tehran, there is a necessity to evaluate the maps and indicators of gentrification in the Sirous neighborhood, which indicates a high emergence of this phenomenon. The goal is to determine how this phenomenon will grow in the near future, especially considering the activities and operations that the neighborhood will face after its reconstruction in subsequent years. The phenomenon of gentrification was first introduced in the 1980s and is still being explored, requiring more research on this subject, particularly in countries like Iran with many valuable historical fabrics and dilapidated areas to test gentrification and its counter-phases. This research, by outlining primary, secondary, and guiding indicators in the Sirous neighborhood, evaluates three items: accessibility to work centers, high architectural value, and low housing value, which received the highest affirmative responses from interviewees. A high level of gentrification and gentrification of natives is expected in this neighborhood. https://cfbejournal.abu.ac.ir/article_727886.html With the advancement of digital technologies, their use in preserving, representing, and re-experiencing architectural heritage has gained increasing importance. Many valuable buildings of traditional Iranian architecture have disappeared due to urban transformations, the erosion of time, natural disasters, and a lack of effective planning. This study aims to develop a conceptual framework for utilizing digital technologies in designing interactive spaces for the purpose of documenting, representing, and enhancing the identity of traditional Iranian architecture. The main objective is to revive collective memory, strengthen cultural awareness, and redefine the role of architecture by leveraging new digital capabilities. The research adopts a meta-synthesis approach combined with a case study of Tekyeh Dowlat, a Qajar-era structure, and demonstrates that digital technologies, by creating interactive spaces, can enhance users' perception and experience of historical heritage. The findings indicate that historical works, when supported by modern technologies, can be reimagined not as static objects but as dynamic and living environments that are revived in contemporary memory and experience. The resulting framework integrates the tripartite model of place with various types of data, representation methods, and material characteristics within the digital space of Tekyeh Dowlat in the Tehran Arg district. Data is organized into six main categories: physical, historical-cultural, sensory-experiential, social-behavioral, climatic-environmental, and educational. https://cfbejournal.abu.ac.ir/article_727887.html This article comprehensively examines the impact of various interior design elements—such as color, lighting, ventilation, acoustics, layout, furniture, and material selection—on students' behavior, psychology, and academic performance in educational environments. The main objective of the research is to analyze the role of physical environments in enhancing learning quality, mental health, social development, and creativity, and to provide practical solutions for improving school interior design. The research methodology is mixed (theoretical and field-based), combining a literature review with interviews with teachers, distribution of questionnaires among students and teachers, direct observation, and statistical data analysis. The findings reveal that a well-designed physical environment can enhance motivation, reduce stress, improve concentration, foster social interaction, develop talents, and boost academic performance. The study also emphasizes the importance of natural light, purposeful color schemes, proper ventilation, noise control, flexible layouts, and human-centered design in educational spaces. Practical recommendations for creating effective, dynamic, and inspiring learning environments are provided at the end. https://cfbejournal.abu.ac.ir/article_727888.html This study investigates various deep learning algorithms such as fuzzy networks and k-nearest neighbors for predicting the liquefaction or non-liquefaction behavior of soil. Since soil liquefaction causes severe damage to infrastructures and lifelines, predicting this phenomenon is crucial. Two machine learning approaches were compared in this research to evaluate their effectiveness in predicting soil liquefaction. The models were constructed with multiple input parameters and a single output (liquefaction/non-liquefaction) under seismic conditions with a magnitude of 7.8. Model performance was assessed based on CPT (Cone Penetration Test) data using accuracy metrics in three states (liquefied, non-liquefied, and overall) along with confusion matrices and ROC (Receiver Operating Characteristic) curves. The study utilized models such as K-Nearest Neighbors (KNN) and fuzzy networks to evaluate soil liquefaction potential.