In this study, The recent national interest is focused on the welfare of the people, and new projects in the construction sector are being reduced, and the aging of infrastructure is not getting attention. In domestic case, most of the infrastructures were built in the 1970s to 1980s, and the road extension is also steadily increasing. Therefore, the costs to bridge maintenance from around 2010 by a similar route to that of advanced countries are also 4 times And it is time to pay attention to maintenance as well as construction. Therefore, a study was carried out on the valuation method considering bridge condition evaluation, which is a part of BIM library building and assembly program development. The proposed value evaluation method will be used as an index of the existence of bridges by comparing the cost required for maintenance and reinforcement of the target bridges and the costs required for dismantling and disposal in the bridge management system of the future program

In this study, to develop the basis of damage prediction system for abutment type rigid-frame bridge, measurement data is generated by artificially expressing damage by Abaqus, a commercial structural analysis program, and applied to machine-learning. The rigid-rame bridge structural analysis model is expressed as closely as possible to the actual bridge condition considering the specification, damage expression, analysis method, boundary condition, and load. CNN(Convolutional Neural Network), one of the neural network algorithm, is used for machine-learning and accuracy is confirmed when there was no measurement error as a result of machine learning.

For the purpose of economic growth in the nineteenth century, social infrastructures have been rapidly aging since the 21st century, Currently, many of the existing infrastructure has been aged, and many national costs have been spent on safety Inspection and maintenance. It is expected that more maintenance will be costly in the future, and maintenance cost can be expected to be reduced due to safety inspection and repair and reinforcement measures in a timely manner. The measures provided in the national and international safety inspection and maintenance manual reduce the efficiency of the work by repeating document work. In addition, due to lack of information sharing among practitioners performing inspection and maintenance, it is considered that incomplete work or incurring additional costs will lead to a large national loss. Building Information Modeling (BIM) can manage all the information generated during the whole life cycle of social infrastructures. Domestic institutions are increasing the use of BIM, and the Public Procurement Service is obliged to design BIM. We expect to increase the work efficiency of practitioners by reducing repetitive document work using BIM, It will make the integrated management information enable bi-directional communication among practitioners. First of all, building a library of social infrastructures and standardizing the information classification system and procedures for BIM application should be essential. As a result, standardization studies on standard information classification system and procedures based on representative bridges among social infrastructures were conducted.

Based on the study of LOD for BIM when doing structural modeling. Divide and standards LOD criteria And investigates the characteristics of property which have to involve in structural analysis

This study aims to establish complementary relationship among designer, builder, and maintenance manager by combining BIM(Building Information Modeling) technology with bridge safety diagnosis and maintenance to secure its effectiveness and systematization. To establish and maintain database by organizing quantities of data about existing case of safety diagnosis and maintenance, and develop the system to be used by practitioners.