• Journal of the Korea Institute of Building Construction
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• v.20 no.1
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• pp.83-91
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• 2020

The recent bridge construction projects is demanded more sophisticated risk management measures and loss forecasts to brace for risk losses from an increase in the trend of bridge construction. This study aims to analyze the risk factors that caused the loss of material in actual bridge construction and to develop a quantified predictive loss model, based on the past record of insurance payment by major domestic insurance companies for bridge construction projects. For the development of quantitative bridge construction loss model, the dependent variable was selected as the loss ratio, i.e., the ratio of insurance payout divided by the total project cost, while the independent variable adopted 1) Technical factors: superstructure type, foundation type, construction method, and bridge length 2) Natural hazards: typhoon and flood 3) Project information: construction period and total project cost. Among the selected independent variables, superstructure type, construction method, and project period were shown to affect the ratio of bridge construction losses. The results of this study can provide government agencies, bridge construction design and construction and insurance companies with the quantitative damage prediction and risk assessment services, using risk indicators and loss prediction functions derived from the findings of this study and can be used as a guideline for future basic bridge risk assessment development research.

• Journal of the Earthquake Engineering Society of Korea
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• v.9 no.3 s.43
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• pp.1-8
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• 2005

This paper describes a new objective methodology of seismic building damage assessment which is called Advanced Component Method(ACM). ACM is a major attempt to replace the conventional loss estimation procedure, which is based on subjective measures and the opinions of experts, with one that objectively measures both earthquake intensity and the response ol buildings. First, response of typical buildings is obtained analytically by nonlinear seismic static analysis, push-over analyses. The spectral displacement Is used as a measure of earthquake intensity in order to use Capacity Spectrum Method and the damage functions for each building component, both structural and non-structural, are developed as a function of component deformation. Examples of components Include columns, beams, floors, partitions, glazing, etc. A repair/replacement cost model is developed that maps the physical damage to monetary damage for each component. Finally, building response, component damage functions, and cost model were combined probabilistically, using Wonte Carlo simulation techniques, to develop the final damage functions for each building type. Uncertainties in building response resulting from variability in material properties and load assumptions were incorporated in the Latin Hypercube sampling technique. The paper also presents and compares ACM and conventional building loss estimation based on historical damage data and reported loss data.

• Korean Journal of Construction Engineering and Management
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• v.16 no.3
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• pp.11-23
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• 2015

Construction Management(CM) and Building Information Management(BIM) have a lot in common that they need to establish a cooperation system among different disciplines and promote smooth communication among project stakeholders throughout the project life-cycle. BIM can be an effective information management tool for CM's business and improve their service value. However, BIM uses by Construction Managers(CMr) are very limited. The objective of this study is to analyze the intention of CMrs to adopt BIM and establish effective BIM use strategy in the CMr's point of view. This study utilizes Technology Acceptance Model(TAM) as a research method, and the results show that 1) CMrs think it is more important whether BIM is required to be adopted in their business process at the social or industry level than that BIM can improve their personal competence, recognition, and impressions through their voluntary BIM adoption; 2) that CMrs think it is important to figure out business processes where BIM can be smoothly incorporated; and 3) that CMrs hesitate the use and trial of BIM in their realworld business although they agree that BIM needs to be eventually adopted in their business in the future. Based on these results, directions for establish a strategy for BIM adoption were proposed at the CMr's point of view

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1173-1180
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• 2013

The construction industry has been a major player in Korean economy growth and it has been accountable for more than 15% of GDP during the last decade. However, fast-growing construction industry has also produced some unpleasant side-effects. Environmental problems are identified one of the main issues in the Korean construction industry and they are closely related to minimizing the carbon emission and delivering environmental-friendly green products. The movement of green construction, now, is considered the next driving force for the industry which has significant impacts on the future. This research investigates this green construction while focusing on governmental policy implications such as green certificate for construction products. Green building has long been recognized as the leading green construction product and the green trends have expanded to infrastructure construction such as road construction. Therefore, this research concentrates on various green road certification processes in the United States in order to develop a framework for Korean green road certification. In doing so, some of the green roads application has also been analyzed. This research intends to provide background information for Korean green construction policies, especially on green road certification.

• Korean Journal of Remote Sensing
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• v.36 no.6_2
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• pp.1579-1590
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• 2020

In this paper, spatially-adaptive denormalization (SPADE) based U-Net is proposed to detect changes by using high-resolution satellite images. The proposed network is to preserve spatial information using SPADE. Change detection methods using high-resolution satellite images can be used to resolve various urban problems such as city planning and forecasting. For using pixel-based change detection, which is a conventional method such as Iteratively Reweighted-Multivariate Alteration Detection (IR-MAD), unchanged areas will be detected as changing areas because changes in pixels are sensitive to the state of the environment such as seasonal changes between images. Therefore, in this paper, to precisely detect the changes of the objects that consist of the city in time-series satellite images, the semantic spatial objects that consist of the city are defined, extracted through deep learning based image segmentation, and then analyzed the changes between areas to carry out change detection. The semantic objects for analyzing changes were defined as six classes: building, road, farmland, vinyl house, forest area, and waterside area. Each network model learned with KOMPSAT-3A satellite images performs a change detection for the time-series KOMPSAT-3 satellite images. For objective assessments for change detection, we use F1-score, kappa. We found that the proposed method gives a better performance compared to U-Net and UNet++ by achieving an average F1-score of 0.77, kappa of 77.29.