13 research outputs found

    Behavior Analysis on Earthquake-Induced Deformation of Structure and Ground Considering Soil Drainage Condition

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    In this study, according to drainage condition(undrained and drained) in soil, the settlement and horizontal displacement of caisson quay wall and apron in Youngilman port were estimated which was occurred due to earthquake-induced excess pore water pressure with the magnitude of 5.4 earthquake in Pohang on November 15, 2017. In general, seismic response analysis was carried out under undrained drainage condition, but in this study, drain drainage analysis was conducted to estimate displacement during earthquake as well as an additional displacement due to dissipation of excess pore water pressure after earthquake. These results of after earthquake can not be known under undrained drainage condition. Results clearly showed that the behavior of structure and ground was dependent on drainage condition in soil. Especially, based on the drained drainage condition, the additional displacement was clearly detected due to dissipation of excess pore water pressure after earthquake. Which indicates that both results are different from drainage condition in soil, and therefore, drained condition analysis is necessary to accurately estimate the behavior of ground and structure in seismic response analysis.List of Tables................................โ…ฒ List of Figures...............................โ…ณ Abstract.......................................โ…ต 1. ์„œ ๋ก  1.1 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ..................................1 1.2 ์—ฐ๊ตฌ๋ชฉ์ ..................................5 2. FLIP ๋ชจ๋ธ ์ด๋ก  2.1 Multi-spring model..................7 2.2 Cocktail-glass model................11 2.3 ์•ก์ƒํ™” ํŒŒ๋ผ๋ฏธํ„ฐ.........................17 2.3.1 ๋น„๋ฐฐ์ˆ˜์กฐ๊ฑด.............................17 2.3.2 ๋ฐฐ์ˆ˜์กฐ๊ฑด................................18 3. ๊ธฐ์กด ์—ฐ๊ตฌ : ๋น„๋ฐฐ์ˆ˜์กฐ๊ฑด ํ•ด์„ 3.1 ์ˆ˜์น˜ํ•ด์„๋ชจ๋ธ..............................23 3.2 ํ•ด์„ ๊ฒฐ๊ณผ...................................26 4. ํ•ด์„ ๋ฐฉ๋ฒ• 4.1 ์—ฐ๊ตฌ๋Œ€์ƒ์ง€์—ญ ๋ฐ ์ง€์ง„...................30 4.1.1 ์˜์ผ๋งŒํ•ญ..................................30 4.1.2 ํฌํ•ญ ์ง€์ง„.................................33 4.2 ์ˆ˜์น˜ํ•ด์„๋ชจ๋ธ...............................37 4.3 ์ง€๋ฐ˜์ •์ˆ˜.....................................41 4.4 ์•ก์ƒํ™” ํŒŒ๋ผ๋ฏธํ„ฐ ๊ฒฐ์ •....................44 4.4.1 ๋น„๋ฐฐ์ˆ˜์กฐ๊ฑด...............................44 4.4.2 ๋ฐฐ์ˆ˜์กฐ๊ฑด...................................44 5. ํ•ด์„ ๊ฒฐ๊ณผ 5.1 ๋ชจ๋ธ ์ „์ฒด์˜ ๋ณ€ํ˜•...........................46 5.2 ๊ณผ์ž‰๊ฐ„๊ทน์ˆ˜์••................................48 5.3 ๊ตฌ์กฐ๋ฌผ์˜ ์ˆ˜ํ‰ ๋ณ€์œ„........................55 5.4 ๊ตฌ์กฐ๋ฌผ์˜ ์นจํ•˜...............................64 5.5 ์ง€๋ฐ˜์˜ ์นจํ•˜...................................71 6. ๊ฒฐ๋ก  6.1 ํ˜„์žฅ์กฐ์‚ฌ ๋ฐ ์„ ํ–‰ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์™€์˜ ๋น„๊ต..77 6.2 ์ง€๋ฐ˜๋ฐฐ์ˆ˜์กฐ๊ฑด์— ๋”ฐ๋ฅธ ๊ฒฐ๊ณผ์˜ ๋น„๊ต.......79 ์ฐธ๊ณ ๋ฌธํ—Œ...............................................80 ๊ฐ์‚ฌ์˜ ๊ธ€..............................................83Maste

    Poverty or Affluence of Educational Theory

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    ์ด ๋…ผ๋ฌธ์€ ์šฐ๋ฆฌ ๊ต์œกํ•™์˜ ๋ฐฉ๋ฒ•๋ก ์— ๊ด€ํ•œ ๋น„ํŒ์  ๋…ผ์˜๋ฅผ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค .์šฐ๋ฆฌ ๊ต์œกํ•™์€ ๊ทธ๋™์•ˆ ๋ˆˆ๋ถ€์‹  ์™ธํ˜•์ ์„ฑ์žฅ๊ณผ ํ’์š”์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ,๊ทธ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก ์€ ์•„์ง๋„ ๋‹ต๋ณด์ ์ธ ์ƒํƒœ์— ์žˆ์œผ๋ฉฐ ๊ทธ๊ฒƒ๋„ ํƒ€ํ•™๋ฌธ์˜ ๋ฐฉ๋ฒ•๋ก ์„ ๋‹ต์Šตํ•˜๊ฑฐ๋‚˜ ์ฐจ์šฉํ•˜๋Š” ์ˆ˜์ค€์— ๋จธ๋ฌผ๋Ÿฌ ์žˆ๋‹ค .ํŠนํžˆ ์ด๋ฏธ ๋ฐฉ๋ฒ•๋ก ์— ๊ด€ํ•œ ๋…ผ์Ÿ์—์„œ ๊ทธ ํ•œ๊ณ„๊ฐ€ ๋“œ๋Ÿฌ๋‚œ ์ง€ ์˜ค๋ž˜์ธ ๋…ผ๋ฆฌ ์‹ค์ฆ์ฃผ์˜ ๊ณผํ•™์ฒ ํ•™์— ๊ธฐ์ดˆํ•œ ๊ณผํ•™์ฃผ์˜์  ๋ฐฉ๋ฒ•๋ก ์˜ ํ์‡„์„ฑ์—์„œ ๋ฒ—์–ด๋‚˜์ง€ ๋ชปํ•จ์œผ๋กœ์จ ๊ทธ ํ•™๋ฌธ์  ๋นˆ๊ณค์„ฑ์„ ๋“œ๋Ÿฌ๋‚ด๊ณ  ์žˆ๋‹ค .๋ฐ”๋กœ ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์˜์‹์—์„œ ,์ด ๋…ผ๋ฌธ์€ ๊ต์œกํ•™์˜ ์„ฑ๊ฒฉ ๊ทœ๋ช…์„ ์œ„ํ•ด ,์šฐ์„  ๊ณผํ•™์˜ ์˜๋ฏธ์™€ ์„ฑ๊ฒฉ์„ 2์„ธ๊ธฐ ๋ฌผ๋ฆฌํ•™์˜ ๋ฐœ์ „์— ๋”ฐ๋ฅธ ์‹ ๊ณผํ•™ ์˜ ๊ด€์ ์—์„œ ์žฌ์กฐ๋ช…ํ•˜์˜€๋‹ค .๊ทธ๋ฆฌ๊ณ  ๊ทธ๋Ÿฌํ•œ ์ƒˆ๋กœ์šด ํŒจ๋Ÿฌ๋‹ค์ž„์˜ ๊ณผํ•™๊ด€์ด ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์— ์ฃผ๋Š” ์‹œ์‚ฌ์ ์„ ์ˆ˜์šฉํ•จ์œผ๋กœ์จ ๊ต์œกํ•™ ์—ฐ๊ตฌ์˜ ์ง€ํ‰์„ ํ™•๋Œ€ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๊ต์œกํ•™ ํŒŒ๋ผ๋‹ค์ž„์˜ ๊ฐ€๋Šฅ์„ฑ์„ ๋ชจ์ƒ‰ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค . T* Professor, Kyung-in national university of educationhis thesis is critical reconsideration of methodological assumption of educational theory in Korea. In the last century, educational theory in Korea has been developed and accomplished very much in quantity, but it has revealed poverty in theoretical perspectives because of its methodological restriction. Its empirical scientistic methodology based on the logical positivism is old, rigid paradigm of science which is derived from Newtonian physics. This paper discusses the necessity and possibility of new methodology of educational theory based on the paradigm of 'new science' which is developed by new physics in 20th century. It is on the belief that it should enrich theoretical properties of education and education is to be a main subject of human science or science of human life

    ๋ฌด์„  ์„ผ์„œ ๋ง์—์„œ์˜ ํšจ์œจ์ ์ธ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€,2004.Maste

    ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜์„ ํ†ตํ•œ ํ•˜์น˜์กฐ์‹ ๊ฒฝ ์†์ƒ ์œ„ํ—˜์„ฑ ํ‰๊ฐ€์˜ ํšจ์šฉ์„ฑ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ์น˜์˜ํ•™๋Œ€ํ•™์› : ์น˜์˜ํ•™๊ณผ, 2013. 2. ์„œ๋ณ‘๋ฌด.Purpose : The aims of this study were to evaluate the incidence of inferior alveolar nerve (IAN) injury and various risk factors of IAN damage, and to assess the efficacy of CT on the evaluation for risk factors of IAN damage after lower third molar removal. Patients and Methods : This study included total 735 patients who underwent surgical procedures for the 3rd molar extraction between January 2000 and August 2009 and total number of teeth was 1058 lower third molars. Among them, 271 teeth were additionally examined by dental computed tomography (CT). The prediction variables for IAN damage such as age, Pederson difficulty index, radiographic risk signs through panoramic view or CT scan were evaluated statistically, and sensitivity, specificity, positive predictive value, and negative predictive value were calculated about each radiographic risk sign. Results: Total 5 cases (0.5%) out of 1058 lower third molar extraction cases showed symptoms of IAN damage after surgical procedures. Patient age, darkening of root on panoramic radiograph, and contact or intrusion of root into IAN on CT scan may be related with IAN damage after extraction, but the incidence of IAN damage is too low to verify statistical significance. Pederson difficulty index seems not reliable prediction factors for risk evaluation of IAN injury. The presence of risk sign(s) on CT scan had positive predictive value of 0.4%, and absence of these had a negative predictive value (99.3%). Conclusion: The incidence of persistent (over 6 months) and temporary (less than 6 months) IAN damage is 0.2%, 0.3% respectively. Although usefulness of CT scan as a positive predictor is limited due to very low incidence of IAN damage, preoperative CT scan seems to be an efficient approach of negative prediction for risks of IAN damage during lower third molar extraction.Introduction Patients and Methods Results Discussion Conclusion ReferenceMaste
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