Abstract
Noise barrier tunnels (NBTs) comprise prefabricated components that are easily replaceable, reusable, and have the capacity to improve performance when applied to components as their replacements. Reusing NBTs is more price competitive and environmentally friendly than producing new components. However, determining the remaining life of components before they need to be dismantled, using existing NBTs and their maintenance methods, is a considerable challenge. Therefore, this study used a prototype of the digital twin of an NBT to predict the condition and life of tunnel components using numerical behavior analyses. The prototype of the digital twin used in this study could be used to analyze behaviors using a gyro sensor, thereby enabling life analyses. Girders are structural components that have shorter life expectancies than components close to the ground. Component analysis results indicated that our proposed method confirmed changes in the life of girders and column components. Moreover, a negligible change in the life of the purlin component was confirmed. Life cycles management using digital twins can help reduce NBT installation costs, facilitate resource recycling, and make the installation process eco-friendly as they can aid in identifying components that require replacements in the initial designing stage and establish a procurement plan.
Highlights
A noise barrier tunnel (NBT) is a typical road facility that consists of an assembly involving various prefabricated components
NBTs are installed on major roads, highways, and railways near residential areas to improve the noise barrier performance of residential areas against noise sources [1]
This study proposes and verifies a digital twin-based operation method that can analyze the condition of components and predict their lifespans to increase the sustainability of NBTs
Summary
A noise barrier tunnel (NBT) is a typical road facility that consists of an assembly involving various prefabricated components. There has been a significant improvement in the noise barrier performance and structural stability of NBTs, and further improvements are increasingly desired To cope with these needs of the market, there has been an increase in the research and development of NBTs that are extended from traditional NBTs functionally [3,4,5]. Performance and condition analyses techniques are required in the operation stage of NBTs. The use of a digital twin is an approach used to identify the current state of an NBT [7]. The use of digital twins during the operational stage of NBTs was assumed to increase sustainability. The results of this study verify that the use of digital twins for the condition analyses of NBTs can help determine the status of components, measure lifespans, and clarify methods to increase sustainability
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