• 제목/요약/키워드: Relational Graph

검색결과 72건 처리시간 0.018초

1-G 진동대 실험을 이용한 기존 구조물 기초에 적용 가능한 시트파일 공법의 액상화 피해 방지에 관한 연구 (A Study on the Prevention of Liquefaction Damage of the Sheet File Method Applicable to the Foundation of Existing Structures Using the 1-G Shaking Table Experiment)

  • 윤종찬;손수원;박준혁;문준성;김진만
    • 한국지반환경공학회 논문집
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    • 제24권7호
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    • pp.5-14
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    • 2023
  • 최근 국내·외에서 지진이 자주 발생하고 있다. 이러한 지진은 다양한 형태의 자연적 피해와 물리적 피해의 원인이 된다. 특히, 지반이 액체와 같은 거동을 보이는 액상화는 구조물에 큰 피해를 발생시킨다. 이에 다양한 액상화 피해 저감 공법들이 연구 및 개발되고 있다. 이에 본 연구에서는 시트파일 공법을 이용하여 기존 구조물에 적용 가능한 지진 시 액상화 피해 저감 공법에 대해 연구하였다. 1-G 진동대 실험을 수행하였고 주문진 표준사로 지반을 조성하였다. 상사 법칙을 적용하여 2층 규모의 모형 구조물을 제작하였고, 입력파는 가속도 수준 0.6g와 주파수 10Hz의 정현파를 적용하였다. 다양한 근입비에 따른 구조물 피해 저감 효과를 분석하였다. 연구 결과, 시트파일 공법을 적용하여 지반을 보강하였을 때의 구조물 침하가 지반 보강을 하지 않았을 때보다 약 71% 정도 감소하였으며, 최소 침하량을 보인 근입비는 "1"이었다. 그리고 근입비가 증가할수록 시트파일로 인해 지반 내 간극수압의 소산이 지연되는 경향을 보였다. 이러한 결과를 바탕으로 근입비에 따른 구조물 침하와의 관계를 그래프와 관계식으로 제안하였다. 본 연구 결과는 향후 기존 구조물에 적용 가능한 시트파일 공법을 개발하는데 있어 기초자료로 사용될 수 있을 것으로 기대된다.

시스템 다이내믹스 기법을 활용한 온라인 쇼핑몰의 전략에 관한 연구 : 소비자의 구매 및 재구매 행동을 중심으로 (A Study for Strategy of On-line Shopping Mall: Based on Customer Purchasing and Re-purchasing Pattern)

  • 이상근;민석기;강민철
    • Asia pacific journal of information systems
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    • 제18권3호
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    • pp.91-121
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    • 2008
  • Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.