• Title/Summary/Keyword: 건축주

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Evaluation on Laboratory Moisture Damage Characteristics of the Asphalt Mixtures using Indirect Tensile Test (간접인장시험을 이용한 아스팔트 혼합물의 실내 수분손상 특성 평가)

  • Hwang, Sung Do;Rhee, Suk Keun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.2D
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    • pp.243-248
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    • 2008
  • Moisture damage of asphalt pavements can usually occur because of the loss of adhesion and cohesion between the asphalt binder and aggregate in the asphalt mixture due to presence of water. And this is one of the causes that is effect on the main distress of asphalt pavement. The objective of this study is to find out moisture damage characteristics of asphalt pavement. Effects of this study changes of the material properties and resistance characteristics of moisture damage on the asphalt mixtures under various temperatures and repeated immersion using indirect tensile test and modify Lottman test were evaluated during this study. The asphalt mixtures were produced using straight asphalt binder, SBS modified asphalt binder and aggregates. The material properties (resilient modulus, indirect tensile strength, failure energy and $DCSE_f$) of the asphalt mixtures were generally decreased with increasing to moisture damage caused by the number of repeated immersion. The decrease ratios of material properties by repeated immersion on SBS modified asphalt mixtures were lower than those of straight asphalt mixtures at all three test temperatures. As a conclusion, current criterion for evaluation moisture damage of asphalt mixtures is difficult for using distinction standard because of the limited evaluation criterion with one time immersion and single material property. Based on this research, to evaluate long term moisture damage on asphalt mixtures, material property tests of various kinds with repeated immersion test are considered.

Analysis on the Lotting Price Fluctuation of the Multi-Family Attached House According to the Construction Material Cost Variation (건설자재 가격 변동에 따른 공동주택 분양가 변화 분석)

  • Choi, Yeol;Yim, Ha Kyoung;Park, Bong Woon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.6D
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    • pp.753-760
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    • 2009
  • This study analyzed the fluctuation of the construction material cost from 2001 to 2008 in Busan to examine the effect of the fluctuation of the construction material cost on lotting price of the multi family attached house. The major findings are as follow. First, as the result of the analysis on four materials such as reinforced bar, remicon, PHC piles, Copper Tubes, those take largest portion of construction cost, it was found that the there is wide difference in price fluctuation of the each materials. The reinforced bar and Copper Tubes showed high price increase by an average 14.03% and 14.91% per year while remicon, PHC piles remained almost unmoved by an average 0.86% and 2.41%. Second, According to the result of the analysis on the mutuality between the fluctuation of the construction material cost and the lotting price of the multi-family attached house, it was found that the fluctuation of the construction material cost have the most enormous effect on the sale price of the multi-family attached house, when there is 3 month time lag in reinforced bar, remicon, PHC piles, Copper Tubes, commonly. Also this mutuality continues to 6 month, 9 month and 1 year, although it decrease a little bit.

A Guidance Methodology Using Ubiquitous Sensor Network Information in Large-Sized Underground Facilities in Fire (대형 지하시설물에서 화재발생 시 USN정보를 이용한 피난 유도 방안)

  • Seo, Yonghee;Lee, Changju;Jung, Jumlae;Shin, Seongil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.4D
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    • pp.459-467
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    • 2008
  • Because of the insufficiency of ground space, the utilization of underground is getting more and more in these days. Moreover, underground space is being used not only buildings but multipurpose space for movement, storage and shopping. However, ground space has vital weakness for fire compared to ground space. Especially in case of underground shopping center, there are various stuffs to burn and poisonous gas can be exposed on this count when the space is burned. A large number of casualties can be also occurred from conflagration as underground space has closed structures that prevent rapid evacuation and access. Therefore, this research proposes the guidance methodology for evacuation from conflagration in large-sized underground facilities. In addition, suggested methodology uses high technology wireless sensor information from up-to-date ubiquitous sensor networks. Fire information collected by sensors is integrated with existing underground facilities information and this is sent to guidance systems by inducing process. In the end, this information is used for minimum time paths finding algorithm considering the passageway capacity and distance. Also, usefulness and inadequacies of proposed methodology is verified by a case study.

Cracking Behavior of Concrete Bridge Deck Due to Differential Drying Shrinkage (교량 바닥판 콘크리트의 부등건조수축 균열특성에 관한 연구)

  • Yang, Joo Kyoung;Lee, Yun;Yang, Eun Ik;Park, Hae Geun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4A
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    • pp.329-335
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    • 2009
  • The purpose of this study is to provide the efficient method and guideline of controlling the cracking in bridge deck concrete due to differential drying shrinkage. Drying shrinkage cracking is mainly influenced by the moisture diffusion coefficient that determines moisture diffusion rate inside concrete structures. In addition to the diffusion coefficient, surface coefficient of concrete surface and relative humidity of ambient air simultaneously affect the moisture evaporation from concrete inside to external air outside. Within the framework of cracking shrinkage cracking mechanism, it is necessary to conceive the numerical analysis, which involves these three influencing factors to predict and control the shrinkage cracking of concrete. In this study, moisture diffusion and stress analysis corresponding to drying shrinkage on bridge deck are performed with consideration of diffusion coefficient, surface coefficient, and relative humidity of ambient air. From the numerical results, it is found that cracking behavior due to differential drying shrinkage of bridge deck concrete shows different feature according to three influencing factors and the methodology of controlling of drying shrinkage cracks can be suggested from this study.

Quantitative assessment of spalling depth and width using statistical inference theory in underground openings (통계추론을 이용한 지하암반공동에서의 스폴링 깊이와 폭에 대한 정량적 평가)

  • Bang, Joon-Ho;Lee, In-Mo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.12 no.1
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    • pp.1-14
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    • 2010
  • Until now, the evaluation method of spalling depth using Martin et al. (1999)'s linear regression relations has long been known applicable. However, it is not likely that the proposed equation is applicable to the openings other than circular type and mostly overpredict the spalling depth in comparison with actual spalling cases. Moreover, the evaluation method to estimate the spalling width has not been presented yet; it is essential to evaluate the spalling width in addition to the spalling depth, because the shape of the spalled region influences the choice of suitable rock reinforcement. In this study, linear regression equations, in which normalized spalling depth ($d_f/W_D$) and normalized spalling width ($w_f/W_D$) are functions of three spalling evaluation indices, ${\sigma}_1/{\sigma}_c,\;D_{is}(={\sigma}_{max}/{\sigma}_c)$ and ${\sigma}_{dev}/{\sigma}_{cm}$, are established based on in-situ spalling observations and CWFS simulation results. Confidence intervals of 95% using the statistical inference theory are used in verifying the reliability of linear regression equations. Spalling depth ($d_f$) and spalling width ($w_f$) predicted from the proposed linear regression relations, which take three spalling evaluation indices into account, showed reasonable match with in-situ observations by adopting weighting factors considering the degree of variance of linear regression relations.

Modeling Traffic Accident Characteristics and Severity Related to Drinking-Driving (음주교통사고 영향요인과 심각도 분석을 위한 모형설정)

  • Jang, Taeyoun;Park, Hyunchun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.577-585
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    • 2010
  • Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver's attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drinking or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity.

Evaluation of Extreme Rainfall based on Typhoon using Nonparametric Monte Carlo Simulation and Locally Weighted Polynomial Regression (비매개변수적 모의발생기법과 지역가중다항식을 이용한 태풍의 극치강우량 평가)

  • Oh, Tae-Suk;Moon, Young-Il;Chun, Si-Young;Kwon, Hyun-Han
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2B
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    • pp.193-205
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    • 2009
  • Typhoons occurred in the tropical Pacific region, these might be affected the Korea moving toward north. The strong winds and the heavy rains by the typhoons caused a natural disaster in Korea. In the research, the heavy rainfall events based on typhoons were evaluated quantitative through various statistical techniques. First, probability precipitation and typhoon probability precipitation were compared using frequency analysis. Second, EST probability precipitation was calculated by Empirical Simulation Techniques (EST). Third, NL probability precipitation was estimated by coupled Nonparametric monte carlo simulation and Locally weighted polynomial regression. At the analysis results, the typhoons can be effected Gangneung and Mokpo stations more than other stations. Conversely, the typhoons can be effected Seoul and Inchen stations less than other stations. Also, EST and NL probability precipitation were estimated by the long-term simulation using observed data. Consequently, major hydrologic structures and regions where received the big typhoons impact should be review necessary. Also, EST and NL techniques can be used for climate change by the global warming. Because, these techniques used the relationship between the heavy rainfall events and the typhoons characteristics.

The effect of residential environment satisfaction on elderly depression: The mediating role of physical activity (주거환경만족도가 노년기 우울에 미치는 영향: 신체활동의 매개효과를 중심으로)

  • Koo, Bon Mi;Chai, Choul Gyun
    • 한국노년학
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    • v.39 no.4
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    • pp.781-800
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    • 2019
  • The purpose of this paper is to investigate the association between residential environment satisfaction and elderly depression with a focus on the mediating effect of physical activity. The survey of Living Conditions and Welfare Needs of Korean Older Persons performed in 2017 was used for analysis. Among total 10,299 who aged 65 years or above and participated in survey, only 10,059 people who answered the survey questions by themselves without missing main questions were included in this analysis. Mediation effects were tested with Baron & Kenny(1986) method and Sobel test(Sobel, 1982). As results, first, residential environment satisfaction was negatively associated with elderly depression. Second, residential environment satisfaction was positively related to physical activity. Lastly, it was found that physical activity mediated the relationship between residential environment satisfaction and elderly depression. The results showed that older adults who satisfied in residential environment were more likely to participate in physical activity, and older people who participated in physical activity were less likely to experience depressive symptoms. Based on these results, the paper suggests the importance of subjective satisfaction of residential environment and participation of physical activity for mental health in later life, and some intervention strategies for Aging In Place.

Heavy Snow Vulnerability in South Korea Using PSR and DPSIR Methods (PSR과 DPSIR을 이용한 대한민국 대설 취약성 분석)

  • Keunwoo Lee;Hyeongjoo Lee;Gunhui Chung
    • Journal of Wetlands Research
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    • v.25 no.4
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    • pp.345-352
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    • 2023
  • Recently, the risk of snow disasters has been increasing South Korea. The damages of heavy snow were categorized into direct and indirect. Direct damage is usually the collapse of buildings as houses, greenhouse or barns. Indirect damage is various, for example, traffic congestion, traffic acident, drop damage, and so on. In South Korea, direct damage is severe in rural area, mosty collapse of greenhouse or barns. However, indirect damage such as traffic accident is mostly occurred in urban area. Therefore, the regional characteristics should be considered when vulnerability is evaluated. Therefore, in this study, the PSR and DPSIR method were applied by regional scale in South Korea. The PSR evaluation method is divided into pressure, state, and reaction index. however, the DPSIR evaluation method is divided into Driving force, Pressure, State, Impact, and Response index. the DPSIR evaluation method is divided into Driving force, Pressure, State, Impact, and Response index. Data corresponding to each indicator were collected, and the weight was calculated using the entropy method to calculate the snowfall vulnerability index by regional scale in South Korea. Calculated heavy snow damage vulnerabilities from the two methods were compared. The calculated vulnerabilities were validated using the recent snow damage in South Korea from 2018 to 2022. Snow vulnerability index calculated using the DPSIR method showed more reliable results. The results of this study could be utilized as an information to prepare the mitigation of heavy snow damage and to establish an efficient snow removal response system.

An Exploratory Study on the Effect of LCZ Type on Particulate Matter (LCZ 유형이 미세먼지에 미치는 영향에 관한 탐색적 연구)

  • Yeonju Kim;Hansol Mun;Juchul Jung
    • Journal of Environmental Impact Assessment
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    • v.32 no.5
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    • pp.338-352
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    • 2023
  • As of 2019, Korea's fine dust is the most severe among 38 OECD countries, and in the same year, 「the Framework on Disaster and Safety Management」 was revised to define fine dust as a social disaster. Currently, the government is working to achieve its emission reduction goals by preparing a comprehensive fine dust management plan (2022-2023) consisting of a total of five areas, 42 tasks, and 177 detailed tasks. However, it is necessary to come up with measures in consideration of the various spatial characteristics of the city, not just as a source of emission. Therefore, in this study, the shape of the city was classified using the LCZ (Local Climate Zone) classification system into 17 types by building type and land cover type in Busan, and the average annual PM10 and PM2.5 concentration were mapped using the IDW technique. In addition, Fragstats and Moving Window were used to quantify the LCZ classification system. Finally, correlation analysis and regression analysis were conducted to analyze the relationship between the LCZ classification system and PM10 and PM2.5. As a result, it was confirmed that the type of low height of the building and the type of green space with trees had a positive effect on the concentration of PM10 and PM2.5. Therefore, this study is expected to be used as basic data to establish fine dust reduction policies based on efficient spatial planning.