• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.845-856
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• 2020

This study proposes a bridge evaluation system for indivisible permit vehicles such as hydraulic cranes. The permit loads for the bridge evaluation are divided into three categories: routine permit loads, special permit 1 loads, and special permit 2 loads. Routine permit and special permit 1 vehicles are allowed to cross a bridge with normal traffic. For these two permits, the standard lane model in the Korean Highway Bridge Design Code was adopted to consider normal traffic in the same lane. Special permit 2 vehicles are assumed to cross a bridge without other traffic. Structural analyses of two prestressed-beam bridges and two steel box girder bridges were conducted for the proposed permit loads. The rating factors of the four bridges for all permit loads were calculated as sufficiently large values for the moment and shear force so that crossing the bridges can be permitted. A reliability assessment of the bridges was performed to identify the reliability levels for the permit vehicles. It was confirmed that the reliability level of the minimum required strength obtained by the load-resistance factors yields the target reliability index of the design code for the permit vehicles.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.6
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• pp.93-101
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• 2022

RC Slab bridges in Korea account for more than 70% of the total bridges for more than 20 years of service. As the number of aging structures increases, the importance of safety diagnosis and maintenance of structures increases. For highway bridges, cracks are a main cause of deck deterioration, which is very closely related to the decrease in bridge durability and service life. In addition, the damage rate of expansion joints and bearings accounts for approximately 73% higher than that of major members. Therefore, this study defined damage scenarios combined with devices damages and deck deterioration. The stress distribution and maximum stress on the deck were then evaluated using design vehicle load and daily temperature gradient for single and combined damage scenarios. Furthermore, this study performed damage-spread analysis and predicted condition ratings according to a deck deterioration model generated from the inspection and diagnosis history data of cracks. The heterogeneous damages combined with the member damages of expansion joints and bearings increased the rate of crack area and damage spread, which accelerated the time to reach the condition rating of C. Therefore, damage to bridge members requires proper and prompt repair and replacement, and otherwise it can cause the damage to bridge deck and the spread of the damage.

• Computational Structural Engineering
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• v.1 no.1
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• pp.113-122
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• 1988

A practical model for predicting the risk of fatigue failure of steel highway bridges is developed in this study. The proposed model is derived from fatigue reliability methods by incorporating various factors which may affect the fatigue life of bridges. The fatigue reliability function is assumed to follow the Weibull distribution. The computational form of the Weibull is adopted from Ang-Munse's approach that includes all the statistical uncertainties of the fatigue life of steel members and the stress ranges under variable amplitude loadings. The model accounts for the variation in ADTT, the change in stress history and the effects of inspections, which may occur during the serivce life of bridges. Stress range histograms are collected from the random stress spectra based on the field measurements of an existing bridge, and, thus, the resulting stress range frequency distribution is modelled with a beta distribution. The results of applications of the proposed fatigue analysis methods to an existing bridge show that the proposed models with the computer program developed for numerical computations can be used as a practical tool for the fatigue rating or for the predictions of the remaining fatigue life of deteriorated existing steel bridges.

• Journal of Distribution Science
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• v.15 no.2
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• pp.111-120
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• 2017

Purpose - Service employees who work at airline check-in counters in airport are typically employed to undergo emotional labor. Emotional labor of airport service employees is an important managerial issue that must be solved. This study attempts to examine the underlying mechanism of emotional labor on turnover intention. It focuses on the consequences of emotional labor of service employees. The purpose of this study is to examine and empirically test how the two-types of emotional labor(deep-acting & surface-acting) of service employees differently affect the level of their job satisfaction and job stress. It also investigates the relationship between job satisfaction, job stress, and turnover intention. For this purpose, first, this study identified the structural relationship between emotional labor, job satisfaction, job stress, and turnover intention. Second, it investigated the mediating effects of job satisfaction between deep-acting and turnover intention. Research design, data, and methodology - To empirically test these structural relationships among research variables, data were collected by a interview from service manager of domestic airline companies and survey from 179 service employees who are working at single domestic airline check-in counters in airports in Korea using a self-rating questionnaire with total 19 items dealing with emotional labor, job satisfaction, job stress, and turnover intention. To test the research hypotheses, collected data were analyzed by confirmatory factor analysis (CFA) and structure equation model (SEM). Results - This study obtains meaningful research results. The results from this study are as follows. First, deep-acting has a positive effect on job satisfaction, whereas, deep-acting has a negative effect on job satisfaction. Second, surface-acting has a positive effect on job stress, whereas, the effects of surface-acting on job satisfaction did not show statistically significant result. Also, job satisfaction has partial mediating roles to the relationship between deep-acting and turnover intention. Conclusions - Based on the results of this empirical study, emotional labor of service employees is one of the key factors influencing their job satisfaction and job stress. In particular, deep-acting is the important factor in emotional labor to increase job satisfaction and reduce job stress. Finally, theoretical, managerial implications, and research limitations are mentioned in discussion parts.

• Journal of Acupuncture Research
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• v.35 no.2
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• pp.81-87
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• 2018

Background: The purpose of the present study was to evaluate efficacy and patient satisfaction of acupuncture or Chuna therapy for back pain. Methods: Amongst all the patients with back pain who had been treated at Sun-cheon korean medicine hospital, Dong-shin university, only patients that had received either acupuncture or Chuna manual therapy between September 1 and October 31, 2017 were selected and their medical charts retrospectively analyzed. A questionnaire was used in the investigation that consisted of a numeric rating scale (NRS), the Oswestry low-back pain disability index (ODI), general, emotional, conversational, and technical satisfaction. The questionnaire was completed before treatment and at weekly intervals (approximately). Treatment efficacy was analyzed using the first and last questionnaires. The last questionnaire was also used to establish patient satisfaction. The data were analyzed using SPSS for Windows version 21.0. Results: The NRS, Current degree of pain (ODI-1), and total ODI were significantly decreased in both the acupuncture and Chuna groups. The differences in NRS, ODI-1, and total ODI changes between treatment groups were not significant. There were no statistically significant differences between the acupuncture and Chuna groups in terms of general, emotional, conversational, and technical satisfaction. Conclusion: Acupuncture treatment significantly reduces NRS and ODI in patients who have back pain without structural transformation, and Chuna therapy significantly reduces NRS and ODI-1 in patients who have back pain with structural transformation. These results indicate that further studies should be conducted in more patients and over a longer period.

• Journal of Korean Society of Steel Construction
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• v.24 no.3
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• pp.349-360
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• 2012

This paper describes a detailed assessment of the structural safety, serviceability, capacity rating and long-term performance of a glass fiber-reinforced polymer (GFRP) slab bridge superstructure. This first all-GFRP slab bridge was installed in Korea on May 2002. The GFRP slab bridge is a simply supported, its length is 10.0 m, and is designed to carry two-lane traffic and has an overall width of 8.0m. The GFRP slab bridge is a sandwich structure with a corrugated core, fabricated by hand lay-up process with E-glass fibers and vinyl ester resins. The assessment of long-term performance for the GFRP slab bridge in 2004, 2011 includes a field load testing identical to that performed in 2002. The assessment indicates that the GFRP slab bridge has no structural problems and is structurally performing well in-service as expected. The assessment may provide a baseline data for the capacity ratings assessment of the GFRP slab bridge and also serve as part of a long-term performance of all-GFRP bridge superstructure.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.3
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• pp.64-72
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• 2015

Risk Based Inspection (RBI) Period was proposed for highway bridges in Korea. Hazard factors affecting bridge condition deterioration were found by analyzing condition data from Highway Bridge Management System (HBMS). Certain level of correlations between those factors and condition deterioration were found. They are used to evaluate hazard score. Summarizing several hazard factors, final hazard is classified as three level;high, moderate, low. Vulnerability is assessed only by the current state of bridge. Then, risk matrix is suggested for inspection periods. Inspection periods of the bridges with grade C, D, and E are maintained the same as before. But, those of grade A and B with moderate and high hazard score are elongated to maximum 6 years while the maximum inspection period is three years at present. By adjusting inspection period according to risk assessment, it was shown that 27% of average inspection manpower can be saved.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.5
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• pp.50-57
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• 2016

The present study proposed three inspection reliability indices which compared inspection results evaluated at in-depth(routine) inspection and in-depth safety inspection; Nominal inspection reliability index, Real inspection reliability index, and DS nominal inspection reliability index. The methods to improve the inspection reliability were also proposed. Since bridge inspection process is critical to ensuring the safety of bridges and identifying repair and maintenance needs, the quality of the inspection data produced from the inspection process is very important. Consequently, the inspection reliability indices were suggested to evaluate quality of current inspection practices. Specifically, approximately 85% of inspection errors evaluated by the DS nominal inspection reliability index are within 1 rating grade(equal to or less than damage score ${\pm}0.1$). In order to improve the inspection reliability, transportation agency should implement QC(Quality Control) practices and develop professional expertises of inspectors by higher requirements for inspectors, on-off line inspection training and etc.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.6
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• pp.549-557
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• 2017

In order to improve the productivity in the civil engineering field, efforts to apply BIM have been continuing, however, research on information modeling of tunnel structures considering alignment is insufficient. In this study, we proposed the method of building tunnel models reflecting curved alignment by transferring point data to BIM Authoring Tools(BAT) through discretization of alignment in Alignment-centered Modeling Tools(AMT). IFC data schema was derived to consider the physical and spatial elements of tunnel structures and alignment and IFC-based information management for tunnel alignment, tunnel structures and ground conditions was possible by referring to the extended data schema and including meanings in IFC property sets. The ratings for ground condition in Rock Mass Rating(RMR) and Q-system was automatically derived by using generated information model according to the proposed method.

• Journal of Korean Academy of Nursing
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• v.49 no.4
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• pp.375-385
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• 2019

Purpose: This study aimed to develop and test a structural model for chemotherapy-related cognitive impairment of breast cancer patients based on a literature review and Hess and Insel's chemotherapy-related cognitive change model. Methods: The Participants consisted of 250 patients who were ${\geq}19$ years of age. The assessment tools included the Menopause Rating Scale, Symptom Experience Scale, Hospital Anxiety and Depression Scale, Everyday Cognition, and Functional Assessment of Cancer Therapy-Breast Cancer. Data were analyzed using the SPSS 21.0 and AMOS 21.0 programs. Results: The modified model was a good fit for the data. The model fit indices were ${\chi}^2=423.18$ (p<.001), ${\chi}^2/df=3.38$, CFI=.91, NFI=.91, TLI=.89, SRMR=.05, RMSEA=.09, and AIC=515.18. Chemotherapy-related cognitive impairment was directly influenced by menopausal symptoms (${\beta}=.38$, p=.002), depression and anxiety (${\beta}=.25$, p=.002), and symptom experiences (${\beta}=.19$, p=.012). These predictors explained 47.7% of the variance in chemotherapy-related cognitive impairment. Depression and anxiety mediated the relations among menopausal symptoms, symptom experiences, and with chemotherapy related cognitive impairment. Depression and anxiety (${\beta}=-.51$, p=.001), symptom experiences (${\beta}=-.27$, p=.001), menopausal symptoms (${\beta}=-.22$, p=.008), and chemotherapy-related cognitive impairment (${\beta}=-.15$, p=.024) had direct effects on the quality of life and these variables explained 91.3%. Conclusion: These results suggest that chemotherapy-related toxicity is highly associated with cognitive decline and quality of life in women with breast cancer. Depression and anxiety increased vulnerability to cognitive impairment after chemotherapy. Nursing intervention is needed to relieve chemotherapy-related toxicity and psychological factor as well as cognitive decline for quality of life in patients undergoing chemotherapy.