• Geomechanics and Engineering
• /
• v.32 no.2
• /
• pp.145-157
• /
• 2023

This paper aims at investigating the face stability of large-diameter underwater shield tunnels considering seepage in soft-hard uneven strata. Using the kinematic approach of limit upper-bound analysis, the analytical solution of limit supporting pressure on the tunnel face considering seepage was obtained based on a logarithmic spiral collapsed body in uneven strata. The stability analysis method of the excavation face with different soft- and hard-stratum ratios was explored and validated. Moreover, the effects of water level and burial depth on tunnel face stability were discussed. The results show the effect of seepage on the excavation face stability can be accounted as the seepage force on the excavation face and the seepage force of pore water in instability body. When the thickness ratio of hard soil layer within the excavation face exceeds 1/6D, the interface of the soft and hard soil layer can be placed at tunnel axis during stability analysis. The reliability of the analytical solution of the limit supporting pressure is validated by numerical method and literature methods. The increase of water level causes the instability of upper soft soil layer firstly due to the higher seepage force. With the rise of burial depth, the horizontal displacement of the upper soft soil decreases and the limit supporting pressure changes little because of soil arching effect.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.3 no.2
• /
• pp.153-169
• /
• 1996

This study was designed to identify, describe and classify orientations of cancer patient's family members to death and to identify factors related to their attitudes on death. Death to the male is understood as a comprehensive system and believed to be highly subjective experience. Therefore attitude on death is affected by personalities. As an attempt to measure the subjective meaning toward death, the unstructured Q-methodology was used. Korean Death Orientation Questonaire prepared by Kim was used. Item-reliability and Sorting-reliability were tested. Forty five cancer patients' family members hospitalized in one university medical center in Seoul were sampled. Sorting the 65 Q-itmes according to the level of personal agreement ; A forced normal distribution into the 11 levels, were carried out by the 45 P-samples. The demographic data and information related to death orientation of the P-sample was collected through face to face in depth interviews. Data was gathered from August 30 till September 22, 1995. The Z-scores of the Q-items were computed and principal component factor analysis was carried out by PC-QUANL Program. Three unique types of the death orientation were identified and labeled. Type I consists of twenty P-samples. Life and death was accepted as people's destiny, They firmly believed the existence of life after life. They kept aloof from death and their concern was facing the and of the life with dignity, They were in favor of organ donation. Type II consists of Nine P-Samples. They considered that death was the end of everything and did not believed the life after life. They were very concerned about the present life. Type III consists of Sixteen P-samples. They regarded the death as a natural phenomena. And they considered that the man is just a traveller and is bound to head for the next life which is believed to be free of agony, pain or darkness. They neither feared death nor its process. Their conserns were on the activities to prepare themselves for the eternal-life after death. Thus, it was concluded that there were three distinctiven type of attitudes on death among cancer patient family members, and their death attitudes were affected by demographic and socio-cultural factors such as sex, education, and religion.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.2
• /
• pp.562-574
• /
• 2012

Simulation validation techniques which have been employed in most studies are statistical analysis, which validate a model with mean or variance of throughput and resource utilization as an evaluation object. However, these methods have not been able to ensure the reliability of individual elements of the model well. To overcome the problem, the weighted F-measure method was proposed, but this technique also had some limitations. First, it is difficult to apply the technique to complex system environment with numerous values of interarrival time because it assigns a class to an individual value of interarrival time. In addition, due to unbounded weights, the value of weighted F-measure has no lower bound, so it is difficult to determine its threshold. Therefore, this paper propose weighted F-measure technique with cluster analysis to solve these problems. The classes for the technique are defined by each cluster, which reduces considerable number of classes and enables to apply the technique to various systems. Moreover, we improved the validation technique in the way of assigning minimum bounded weights without any lack of objectivity.

• KIISE Transactions on Computing Practices
• /
• v.21 no.3
• /
• pp.223-238
• /
• 2015

Ramp metering is the most effective and direct method to control a vehicle entering the freeway. This paper proposed the new density-based ramp metering method. Existing methods that use the flow data had low reliability data and can have various problems. Also, when the ramp metering was operated by freeway congestion, the additional congestion and over-capacity can occur in the ramp. To solve this problem with the existing method, the proposed method used the density and acceleration data of the freeway and considered the ramp status. The developed strategy was tested on Trunk Highway 62 west bound (TH-62 WB) in Minnesota Twin-City and compared with Stratified Zone Metering(SZM), which had been operating in the Twin-City freeway. To constitute the experiment environment, the VISSIM simulator was used. The Traffic Information and Condition Analysis System (TICAS) was developed to control the PTV VISSIM simulator. The experiment condition was set between 2:00 PM and 7:00 PM, Oct 5th, 2014 during severe traffic congestion. The simulation results showed that total travel time was reduced by 20% for SZM. Thus, we solved the problem of ramp congestion and over-capacity.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.3B
• /
• pp.279-289
• /
• 2006

The reconstruction of low dimension nonlinear behavior from the hydrologic time series has been an active area of research in the last decade. In this study, we present the applications of a powerful state space reconstruction methodology using the method of Support Vector Machines (SVM) to the Great Salt Lake (GSL) volume. SVMs are machine learning systems that use a hypothesis space of linear functions in a Kernel induced higher dimensional feature space. SVMs are optimized by minimizing a bound on a generalized error (risk) measure, rather than just the mean square error over a training set. The utility of this SVM regression approach is demonstrated through applications to the short term forecasts of the biweekly GSL volume. The SVM based reconstruction is used to develop time series forecasts for multiple lead times ranging from the period of two weeks to several months. The reliability of the algorithm in learning and forecasting the dynamics is tested using split sample sensitivity analyses, with a particular interest in forecasting extreme states. Unlike previously reported methodologies, SVMs are able to extract the dynamics using only a few past observed data points (Support Vectors, SV) out of the training examples. Considering statistical measures, the prediction model based on SVM demonstrated encouraging and promising results in a short-term prediction. Thus, the SVM method presented in this study suggests a competitive methodology for the forecast of hydrologic time series.