The article discusses the use of Building Information Modelling (BIM) in geotechnical offshore construction projects in Malaysia. BIM is a digital technology that creates a 3D digital model of a ...building or infrastructure project, which can be used throughout the entire project’s lifecycle from design to maintenance. The article highlights the advantages of using BIM in offshore geotechnical engineering projects, such as improved communication, collaboration, and decision-making, and overcoming challenges such as severe weather conditions and the need for specialist equipment and staff. In this study, the information was gathered first through a pilot survey questionnaire that was sent online to individuals working in the geotechnical sector of offshore development in Malaysia with prior experience with BIM. Later a main questionnaire survey was conducted involving respondents of same sample characteristics. The data collected from the survey questionnaire was put through Exploratory Factor Analysis (EFA), and Structural Equation Modelling (SEM). Exploratory factor analysis (EFA) was used to identify the critical factors contributing to BIM’s success in offshore geotechnical projects. Partial Least Squares (PLS) approach was utilized to construct a model that predicts the performance of BIM in offshore geotechnical projects based on the parameters discovered by the EFA. The research findings suggest that management and technical success constructs have the greatest impact on the adoption of BIM for offshore geotechnical construction projects in Malaysia, followed by safety success constructs. The study provides insights into the potential benefits of implementing BIM in these projects, including enhanced efficiency, cost savings, and cooperation among various stakeholders.
This study focuses on development of a Geographic Information System (GIS)-based decision support system (DSS) to assist construction engineers in monitoring and controlling the excavation ...conditions. In this system, layout of the construction site and various instruments are represented in several data layers. Each instrument layer is integrated with a relational database, which receives data collected from the site. Applying fuzzy set theory, the system analyzes the collected data and identifies possible causes of adverse conditions. Through database queries and spatial displays, the position of the extreme instrument readings exceeding threshold limits is identified. The primary features of the system are as follows: (1) development of a knowledge base for planning layout of instruments according to design requirements, site characteristics, or instrument capabilities, (2) provision of a quality control checking list for instrument installations, (3) collection and transmission of measured data to the job site office using automated transmission technology, and (4) analysis of the collected data and diagnosis of possible causes of the adverse conditions. This system improves the instrumentation program by providing a logical and systematic manner to analyze the measured data in a real time basis. Thus, predictions of any adverse conditions and appropriate actions can be taken to prevent construction accidents. Furthermore, as compared to manual methods, the system significantly improves the computational effort and increases data accuracy and consistency.
