Jongwon Seo 교수

Tunnel construction fundamentally differs from building and aboveground civil infrastructure projects. Drill-and-blast is one of the most common and flexible tunnel construction methods. However, it is complex and challenging because a large amount of data is generated from dispersed, independent, and heterogeneous sources. The tunneling industry still uses traditional project management techniques to manage complex interactions between these data sources that are hardly linked, and independent

Safety of construction projects may be affected by various factors such as types and scale of projects, construction methods, safety management procedure, climate, site conditions, etc. Among them is the quality of design in relation to safety. Presently, however, designers typically are not involved in construction safety. They are often uncertain of their responsibilities in relation to construction safety and fail to be responsible for avoiding or reducing safety-related risks. In this study,

Underground utilities are important assets that provide basic services for society’s daily life. They are generally very complex and remain unnoticed until they fail due to any particular reason. The stakeholders involved in the design, construction, and maintenance of utility infrastructure face many problems due to the traditional underground utility management system, resulting in injuries, loss of life, disruptions, project delays, and financial loss. The problem with the traditional system

Heritage buildings are subject to severe damage due to their exposure to dynamics such as environmental changes, earthquakes, structural loads, etc., thus needing a proper maintenance and management system. However, during the restoration, maintenance, and management process, heritage building practitioners face numerous challenges, such as inefficient project management, financial loss, and project delay. These problems arise due to a lack of digital documentation and updated information manage

The rapid development in underground infrastructure is encouraging faster and more modern ways, such as TBM tunneling, to meet the needs of the world. However, tunneling activities generate complex and heterogeneous data, which makes it difficult to visualize the performance of a project. Advancements in information technology, such as digital twins and machine learning, provide platforms for digital demonstration, visualization, and system performance monitoring of such data. Therefore, this st

The increase in population and urbanization needs attention towards intense construction activities to meet the social and economic needs. Soil excavation is a primary step in every construction project that needs proper surface and subsurface information modeling since it is vulnerable to construction hazards. Geographic information system (GIS) provides significant information about the existing contextual surface information while building information modeling (BIM) gives information about th

Virtual reality (VR) can potentially enhance various design and construction assessment intensive tasks, such as construction design and review. However, it may lead to cognitive overload, adversely affecting the participants’ performance. It is critical to understand the effects of VR cognitive behavior for implementing VR technology in the construction industry. The principal objective of this study was to investigate the participants’ cognitive load (CL), task performance (TP), and situationa

Geological information is a prerequisite of civil engineering infrastructure projects. However, the modeling, representation, update, and exchange of geological information are challenging because they are managed by heterogeneous data models supported by two-dimensional (2D) representation that lacks volumetric information, 3D visualization, and integration. This study presents a novel geological data model using BIM and GIS to facilitate three-dimensional (3D) modeling and management of geolog

This study presents a geographic information system (GIS)-based method for determining the optimal layout of a haul route for large earthmoving projects. The methodology focuses on the use of cost distance measurements to implement a least-cost path analysis to calculate the route with the shortest weighted distance between cut and fill areas. Various factors such as truck speed, construction costs, and land use that affect haul road layout are investigated. Linear interpolations based on lingui

Earthwork is seemingly guesswork, but it requires a high level of accuracy and precise planning. Differences between earthwork design and finishing levels cause project delays and cost overrun due to the time-consuming nature of earthwork re-work. Therefore, error-free earthwork planning and design review is a key to the success of earthwork projects. This study utilized an integrated approach of an unmanned aerial vehicle (UAV)-based point cloud and BIM (Building Information Modeling) to verify