Improving the Execution Monitoring Quality and Materials Alternatives Using BIM

Abstract

Abstract Quality is an important criterion for the evaluation of successful and sustainable building projects. And, it is the most important element of building a project beside time, and cost, for achieving the principles of quality management on performance by integrating all modern engineering concerns and linking them with quality requirements and directing its course to achieve a high quality product or service. Therefore quality management expanded its limits as it has become closely linked to modern technologies such as Building Information Modeling (BIM) technology. BIM technology is one of the modern integrated technologies, as it includes all the common operations of the construction project. This research aims to study the possibility of adopting BIM technology to develop a proposed system to improve the quality of the construction projects implementation in Iraq in integration with modern engineering techniques. This system includes quality control and quality assurance. To achieve the objectives of this research, a review of the literature and previous research was conducted and a questionnaire was prepared for the purpose of assessing the quality of construction projects in Iraq, and to determine if the use of modern software such as Building Information Modeling (BIM) control is the quality of execution in the construction sector and its analysis using the program (IBM SPSS-V26). Although, many difficulties encountered by this work due to the different scientific methodology and different points of view in the application of these techniques in reality. However, this study focused on the application of these techniques in the field, and this step was supported by the practical study, where the Ghalibya Residential Complex was adopted as a case study that was modeled in this research through data collection. The project was conducted through personal interviews with the cadre of the resident engineer responsible for the project. The digital pictures of the building were also taken using the (Agisoft) program and photogrammetry. The case study where all stages of project implementation can be documented with high accuracy. The model was imported into the Recap program to process the origin and data point, and then the model was exported to the Rivet program to prepare the modeling of the building and extract the quantities for the main activities of the building, where these techniques can be used to improve the quality of control for construction projects. Also, BIM technology was used, depending on a tool green building studio GBS) to analyze the energy consumption of the study case and choose the best alternatives for the application. Finally, the questionnaire results indicated the poor quality of construction projects depending on total average for (mean=2.3, SD=0.93) and weak project management responsibilities, due to depending on traditional methods based on the total average for (mean=2.3, SD=0.9) and non-compliance for the use of modren software as (BIM) to control the execution quality. The results clearly monifested the ability of the integration of modern technologies to show a modeling of the project based on photogrammetry, where the accuracy of the measurement of dimensions reached 99.8%, with an error rate ranging within (0.8-10) cm. The accuracy of calculating the quantities was between actual and BIM (98.6%). The accuracy of the quantities is between the estimation and BIM (94.9%). Some materials that had comprehensive qualities in improving the quality of the building were also selected, such as granite in the finishing of the external walls and cellulose insulating material, as well as foam materials can be used on the roofs, as they are considered materials resistant to weather conditions and high temperatures and also reduce the energy consumption of the building engineers to evaluate the proposed system, a questionnaire was used, where the end result was the acceptance of the proposed system by 95%.