Iran's construction industry has faced some problems in recent years, including rework, high costs and design errors. Engineers in this field have always emphasized the use of modern methods of Building modern technologies and technologies to improve quality, reduce time, cost and increase productivity. One of these technologies is Building Information Modeling technology, which has been very difficult to adopt and implement in this country. The purpose of this research is to present a systemic and holistic model to analyze the dynamics of adoption and implementation of this technology in Iran. For this purpose, a hybrid research method is designed, so that in the first phase using the grounded theory, a conceptual model of technology adoption is presented, and then using a system dynamics approach, a quantitative mathematical model with simulated decision consequences is presented. Four policies under the scenarios were implemented on the model. The results show that government support consisting of a set of measures is the most efficient solution to develop adoption and implementation of this technology.

Improper design and construction, non-standard materials and equipment, materials used in Buildings and improper choice of Building coatings such as walls, windows and insulation system are the most important factors of high energy consumption in Buildings. Improving the above measures reduces the share of internal energy losses from each of the Building shell components. The increasing advancement of technology and the need of the industry to use it has made Building Information Modeling as one of the new technologies in the construction industry is growing and has attracted the attention of researchers for its use and how to develop it. The aim of this study was to investigate the energy efficiency patterns of the exterior wall of a high-rise residential Building using Building Information Modeling. For this purpose, in this study, the use of different materials in the construction of external walls of the Building based on a case study and using the facilities of a Building Information Modeling, has been investigated in terms of energy consumption. The materials studied in this research are clay block, pumice cement block, foamed cement block, Iranwall block, fan block, and wallcrete. Cement block with pumice and foamed cement block with about 10% savings in fuel consumption and 8.3% savings in electrical energy, was selected as the best wall.

Building Information Modeling can help in predicting the energy efficiency in future based on dynamic patterns obtained by visualization of data. The aim of this study was to investigate the effective parameters of energy consumption using BIM technology which can evaluate the Buildings energy performance. First, three forms of general states in the Building were modeled to evaluate the proposed designs in Autodesk Revit Software. Then, the main Building form for energy Modeling and analysis was selected. Autodesk Revit 2020 software was also used to obtain the results of climate data analysis and Building energy consumption index. Finally, the most optimal mode was selected by examining different energy consumption modes. The results showed that the use of Building Information Modeling technology in adjusting the parameters affecting energy consumption can save energy cost up to 58. 23% in block D. Energy cost savings for block C and the western lobby were obtained as 51. 03% and 43. 05%, respectively. Based on energy use intensity, energy cost savings for blocks C, D, and the western lobby were estimated as 16. 67%, 16. 30%, and 11%, respectively. The results of parametric studies on alternative schemes of energy use intensity optimization showed that 16. 30% savings could be achieved by the base Building model in a 30-year time horizon. Therefore, it was concluded that optimization of energy consumption would reduce the environmental pollutants emission and contribute to preservation and sustainability of the environment.

BACKGROUND AND OBJECTIVES: Decision-making in Building demolition is complex, involving structural, environmental, economic, and regulatory considerations. Traditional approaches often rely on subjective judgment and lack data-driven analysis. This study seeks to create a comprehensive decision-support framework that integrates Building Information Modeling and Bayesian Networks to optimize go or no-go decision processes. The objectives of the study were to provide a more accurate, reliable, and systematic tool that improves planning, reduces uncertainty, and promotes safety, efficiency, and sustainability in Building demolition practices.METHODS: This study integrates Building Information Modeling data with Bayesian Network probabilistic analysis to assess structural, environmental, and managerial factors influencing demolition decisions. A case study was conducted on a three-story market Building located in South Jakarta. Expert insights were utilized to create conditional probability tables, improving the model's precision and its applicability to actual demolition situations. The model was validated through simulation and sensitivity analysis, identifying key variables affecting go or no-go outcomes.FINDINGS: The integrated Building Information Modeling–Bayesian Network model effectively supports go or no-go demolition decisions by addressing uncertainty and risk factors probabilistically. According to the case study findings, there is a 55.10 percent chance of demolition, influenced by inadequate structural integrity (70 percent) and significant retrofit costs (59 percent). Mechanical demolition was preferred (56 percent) for its efficiency and lower risk. Sensitivity analysis identified structural integrity, retrofit cost, Building age, environmental impact, and permit status as key influencing variables. Validation by experts has established the model's practical importance, illustrating its potential to boost planning accuracy and encourage sustainable, data-centric decision-making in complex urban demolition endeavors.CONCLUSION: Integrating Building Information Modeling and Bayesian Network improves demolition decision-making by addressing uncertainty and supporting risk-informed analysis. The model boosts the precision of planning and aids in pinpointing significant influencing factors, like structural integrity and the costs associated with retrofitting. Furthermore, it fosters sustainable, data-driven approaches, rendering it an effective tool for complicated urban demolition initiatives.

Building envelopes and regional conditions can significantly contribute to the cost and energy performance of the Buildings. Structured methods that take into account the impacts of both the envelope materials and the regional conditions to find the most feasible envelope materials within a region, however, are still missing. This study responds to this need by proposing a novel method using the capabilities of Building Information Modeling (BIM). The proposed method is used for identifying cost- and energy-efficient Building envelope materials within a region over the life cycle. First, commonly used envelope materials in a region are identified. Then, BIM is employed for simulating the energy performance and evaluating the life cycle cost of the materials. The method was implemented in Tehran, Iran. It was successfully utilized for improving the cost and energy performance of a nine-story residential Building case. The achieved results indicated a potential energy performance enhancement of 31%, and the life cycle cost improvement of 28% by replacing conventionally used envelope materials with the available high-performance Building materials. The proposed method can benefit various stakeholders in the Building construction industry, including municipalities, owners, contractors, and consumers, by enhancing the cost and energy performance of the Buildings.

BACKGROUND AND OBJECTIVES: The conventional disposal of demolition waste in landfills poses significant ecological harm. Integrating principles of the circular economy can help alleviate this impact by encouraging the reuse, recycling, and recovery of materials. This study presents a groundbreaking approach to demolition that aims to tackle the growing waste problem and bridge the existing regulatory loopholes. The framework leverages Building Information Modeling for Just-In-Time delivery and circular economy practices to prioritize environmentally friendly, efficient, and sustainable operations. The framework aims to transform demolition practices, reduce environmental impact, and promote sustainability within the construction sector by incorporating these principles.METHODS: The study outlines a plan for demolishing high-rise Buildings by incorporating Building Information Modeling, Just-In-Time delivery, and the circular economy in a specific case analysis. Autodesk Revit streamlines waste estimation and inventory of reusable, repairable, refurbished, and recyclable waste, thereby optimizing waste management planning with improved effectiveness and efficiency. Navisworks visualizes the demolition process in a reverse four-dimensional model. Microsoft Project ensures on-time delivery, while a Sankey diagram visually represents the concept of a circular economy.FINDINGS: Building Information Modeling, just-in-time delivery, and circular economy principles maximize demolition planning for efficiency, effectiveness, and sustainability. The green demolition framework serves as a valuable project management tool that enhances planning and resource allocation efficiency, all the while reducing environmental impact through the implementation of selective demolition and enhanced waste management practices.The process completed the demolition of a 6-story Building in 88 days, producing 160 cubic meters of reusable waste, eight cubic meters of repairable and refurbishable waste, and 3,972 cubic meters of recyclable wasteThe waste collection for the circular economy is efficiently carried out within a timeframe of 1-2 days, thanks to the implementation of the Just-In-Time delivery schedule.CONCLUSION: This study delves into advancements in waste management and strategic demolition scheduling. The government should consider the green demolition framework when refining regulations to include Information Communication Technologies and circular economy concepts. Future studies have the potential to improve the green demolition framework by prioritizing environmentally conscious strategies and ensuring effective coordination among all stakeholders involved to achieve the best possible outcomes in demolition projects.

Management in the field of maintenance of petroleum concrete storage tanks is one of the most important management indicators that can prevent the creation of risks for people, the environment, and also economic and social effects. The main goal of this research is to use Building Information Modeling (BIM) in order to create the necessary platforms for maintenance management of petroleum concrete storage tanks in the form of Revit software. Modeling is based on the location of the concrete oil storage tank structure in the form of Building Information Modeling against effective factors. In this way, with the use of BIM, management of maintenance and investigation of possible points of failure was addressed. Finally, the proposed flow chart of maintenance management based on Building Information Modeling for the petroleum concrete storage tank studied in the present research was resulted. This maintenance model, which was proposed for petroleum concrete storage tanks, has the ability to quickly notify the structure control manager of the damage site and show it to the local staff to fix the defect. In fact, with the presented model, the speed of identification The damage in the tanks increases and the productive life of the structure also increases. Maintenance management based on Building Information Modeling has resulted in predicting the points required for maintenance in order to prevent future damages and failures.

Improving management of complex and congested facilities in hospital Buildings is a potential point for both reducing money spent and enhancing quality level of the medical services provided in public hospitals of Iran. Although Building Information Modeling (BIM) is identified as an effective tool for improving Facility Management (FM), use of advantages it offers to the FM processes of hospitals has been neglected thus far in the country. To address this issue, this research aims to investigate the BIM capabilities and the supporting organizational structure of public hospitals in Iran which can help improve their FM processes. A comprehensive literature review of applicable capabilities of BIM to the FM processes was conducted. Hierarchical FM structure of public hospitals in the country was recognized through a review of the related regulations. A public hospital case was chosen for in-depth recognition of FM process operations and validation of the proposed BIM-based improvements. It was argued that the use of BIM capabilities could substantially improve the FM processes of public hospitals. Reduced duration of FM activities, improved facility layouts, enhanced communication and coordination, facilitated training, and improved emergency management are some of the expected outcomes.

The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle of a Building. Despite the many benefits and features of BIM, the Malaysian construction industry's proliferation is confronted with adoption issues. Therefore, this research study intends to find the effect of BIM adoption factors in Malaysian AEC. Quantitative data collection from construction firms is gathered. The proposed model's theoretical foundations are based on Technology, Organization Environment framework. The model is tested and validated with the Smart PLS tool. The study's findings indicate that Perceived benefits, Organizational Capabilities, and Trialability are drivers of BIM adoption. Perceived cost and Insecurity are the barriers to BIM adoption. Perceived ease of use and compatibility does not affect BIM adoption. Finally, this study performs Importance Performance Map Analysis to provide recommendations to AEC stakeholders to address the BIM adoption issues for enhancing its diffusion in Malaysia.