• Journal of the Korean Society for Precision Engineering
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• v.16 no.2 s.95
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• pp.87-94
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• 1999

The automated die design program is developed for cold forging of axisymmetric parts which are mainly produced by forward extrusion, backward extrusion, composite extrusion and upsetting. For this study, firstly classification of forged parts and investigation of die construction type usually employed in forging industry are carried out and the most proper type from several kinds of die construction is proposed as a standardized one. Based on the die design rules summarized in the references such as handbooks, technical papers, monthly journals, etc. the automated die design program was made using AutoLISP language available in AutoCAD software of personal computer. This program interactively runs for only input data, for example, forging process, shape of forged parts, type of punch, split of die insert and design of shrinkage rings and then displays details of drawings necessary to make a forging die. When a variety of forging processes and forged parts are tested to examine the validity of this program, it was confirmed to give good results applicable to the forging die design in press shop.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1059-1066
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• 2022

In 2020, it was estimated that more than 2.4 million households in South Korea are over 30 years old. That is, more than 40% of all houses in Korea are old and that they require proper rehabilitation. The two options to improve poor living conditions are reconstruction and remodeling. Compared to reconstruction, remodeling has advantages in terms of the construction period, cost, and environmental impact. As such, the current Korean regulations are more favorable for remodeling than reconstruction. Typically, several candidate floor plans are presented in the early stages of an apartment remodeling project. Extracting information about bearing walls and other structural elements from the multiple plans to compare those plans quantitatively is one of the essential tasks during the early stage of a project. To cope with this task, an automated data extraction method for walls and slabs from before and after remodeling plans is developed. Through the developed program, load-bearing walls, non-bearing walls, slabs, and weight changes after remodeling can be analyzed and visualized in a fast and automated manner.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.175-176
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• 2020

As the concrete pouring work relies on manual work, there is a lot of room for automated equipment development. In this study, as a basic study on the development of an automated system for pouring concrete, the trend of patent applications by year, country and detailed technology was investigated. Related technologies were classified into screed automation, CPB automation, and concrete pouring integrated system to analyze patent application trends. As a result, since 1999, patent applications have been steadily in progress, repeating increases and decreases in Japan, Korea, the United States, and Europe. In addition, the growth stage of the market is in the early stages of maturity, and patent applications for related technologies are expected to continue. In the future, based on the patent application trend analyzed in this study, the development direction of the automated concrete pouring system will be reviewed and the redundancy of similar technologies will be reviewed.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.133-134
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• 2011

While researches related with construction automation have dramatically increased, a Robot-based Automatic Construction system (RCA system) has developed for high-rise buildings in Korea. At the aspect that wide adoption of the RCA system is dependent on economic efficiency comparing with a conventional method, feasibility study on the RCA system should be implemented. However, due to practical limitations, the RCA system has tested to a seven story building. Based on the test results, this study implements a cost/benefits analysis to a simulated forty story building in order to derive more reliable data on the RCA system's practicability.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.219-220
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• 2021

It is considered that the construction industry is one of the pivotal players in the national economy in terms of Gross Domestic Production (GDP) and employment. Behind the positive role of this industrial sector to the national economy, the construction industry generates approximately 50 % of the total waste generation from all the industrial sectors. There are several measures to mitigate the adverse impacts of the construction waste such as reduce, reuse and recycle. Recycling would be one of the effective strategies for waste minimisation, which would be able to reduce the demand upon new resources as well as enhance reusing the construction materials on sites. The automated construction waste classification system would make it possible not only to reduce the amount of labour input but also mitigate the possibility of errors during the manual classification process. In this study, we proposed an automated waste segmentation and classification system for recycling the construction and demolition waste in the real construction site context. Since the practical application to the real-world construction sites was one of the significant factors to develop the system, a YOLACT (You Only Look At CoefficienTs) algorithm was chosen to conduct the study. In this study, it is expected that the proposed system would make it possible to enhance the productivity as well as the cost efficiency by reducing the manpower for the construction and demolition waste management at the construction site.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.14-23
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• 2010

A considerable number of construction disasters occurs on pathway. A safety management in construction sites is usually performed to prevent accidents in activity areas. This means that safety management level of hazards on pathway is relatively minified. Many researchers have introduced that a hazard identification is fundamental of safety management. Thus, algorithms for helping safety managers' hazardous area identification is developed using automated data collection technology. These algorithms primarily search potential hazardous area by comparing workers' location logs based on real-time locating system and optimal routes based on BIM. And potential hazardous areas is filtered by identified hazardous areas and activity areas. After that, safety managers are provided with information about potential hazardous areas and can establish proper safety countermeasures. This can help improving safety in construction sites.

• Korean Journal of Construction Engineering and Management
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• v.7 no.4 s.32
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• pp.78-90
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• 2006

There is no specific code and/or standard described in the specifications to check verticality for Pre-tensioned Spun High Strength Concrete pile installation process. The most commonly used method for the vertical PHC pile installation is a naked-eye measurement or water level measurement conducted by assistant crew in the construction sites. The main objective of the research is to develop the automated vertical controllable prototype equipment for PHC piles in order to achieve uniform construction qualify as well as improving safety and productivity. The paper explains the literature review on PHC pile and pile installation process, development of prototype, field test of the prototype and its performance evaluation in terms of quality and safety as well as productivity. The results of the research will lead the further researches on the automated pile installation system.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.429-439
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• 2021

In order to cope with the decrease of construction manpower caused by the aging population and to improve construction productivity, Japanese Ministry of Land, Infrastructure, Transport and Tourism has been promoting construction methodology using ICT (Information & Communication Technology) since 2016. The ministry has established and implemented new cost estimation standards, delivery systems, and government support policies to boost automated earthwork using ICT, and is expanding the types of automated construction methodology applied at the construction sites. To utilize ICT at construction sites in Korea, as in case of Japan, laws, systems, and policies should be readjusted first. By comparing the ICT-related systems and policies between Japan and Korea, this paper scrutinizes critical benchmarking factors. As a result, we have reached the conclusion that in order to promote ICT methodology at Korean construction sites, Korean government should establish ICT-related cost estimation standards, delivery systems, and economic support policies in advance.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.76-77
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• 2016

This paper presents an automated construction quality nonconformity control method. Existing quality control process are confined attributed to the dependence on human quality personnels. They are inefficiency for continuos quality improvements and may cause project schedule delays when any nonconformity is handled timely fashion. For sure, It is important to identify the add hoc quality nonconformity control processes and to implement them into an automated system that controls its' work-flow. It would be desirable to develop the construction project quality nonconformity control system using Building information modeling(BIM) and Information and Communications Technologies(ICT). It may provide an effective platform to prevent quality issues that exist in the existing quality management practice.