• 복식
• /
• 제64권3호
• /
• pp.13-31
• /
• 2014

This study attempts to analyze relational structures among service failure-related variables after the moderation of fairness in the beauty service industry with the following purposes: First, it aims to review and investigate service failure & service recovery strategies, non-switching intentions after recovery, revisit intention, the intent to provide word-of-mouth recommendations and previous studies on service failure and recovery in the beauty service industry. Second, it targets the analysis of the role of fairness as a variable that moderates relations between service recovery strategies and post-recovery satisfaction in the beauty service industry. For this, the following research method was used: This study has investigated the effect of service failure and its recovery strategies (behavioral recovery strategy, psychological recovery strategy, monetary recovery strategy) on customer satisfaction for beauty service users and used the Structural Equation Model (SEM) to further analyze and verify the effect of the satisfaction on post-satisfaction behavior (non-switching intention, repurchase intention and the intent to provide word-of-mouth recommendations). The SEM was divided into a measurement model and structural model to determine if the model is appropriate and estimate the parameters of the path coefficient. In addition, this study examined to see if fairness (procedural fairness, distributive fairness and interactive fairness) works as a moderating variable while the service recovery efforts affect customer satisfaction. Then, the role of service recovery strategies, targeted to satisfy the customers who were dissatisfied because of service failure, were investigated. In addition, its effect on post-satisfaction behavior was analyzed from the structural aspect, and the moderating role was examined as well. Then, the role of the service recovery strategy, which can be used to satisfy dissatisfied customers, was examined, and the effect of the satisfaction on customer behavior was analyzed from a structural perspective. In addition, the moderating role of fairness was tested. As a result, this study is significant in that it helps service providers formulate service recovery-related strategies.

• 한국소음진동공학회논문집
• /
• 제21권3호
• /
• pp.241-247
• /
• 2011

Although intensive development continues on innovative sensor systems, there is still considerable uncertainty in deciding on the number of sensors required and their locations in order to obtain adequate information on structural behavior. This paper is concerned with the sensor locations on a beam-structure for prognostic structural health monitoring. The purpose of this study is to investigate how to determine optimal sensor placement(OSP) from the sensitivity information of a known failure mode. The sensitivity of the forced vibration response of a beam to the variation of stiffness due to a crack is calculated analytically and used to determine the optimal sensor locations for the specified failure mode. The results of this method compared with the results of different OSP methods. The results have shown that the proposed method on optimal sensor placement is very effective in structural health monitoring.

• 한국전산구조공학회:학술대회논문집
• /
• 한국전산구조공학회 1992년도 봄 학술발표회 논문집
• /
• pp.51-57
• /
• 1992

The primary objective of this study is the development of second moment methods for the efficient reliability evaluations of structural systems. Two methods are presented. One is the improved first order reliability method (IFORM), and the other is the modified probabilistic network evaluation technique (MPNET). For the purpose of verifying the proposed methods, example analyses are carried out on several cases with two failure modes, a plane frame structure involving three failure modes and simplified parallel member models for fatigue reliability evaluations of offshore structures. Numerical results indicate that the effectiveness of the proposed methods over the conventional ones (i.e., the FORM and the PNET) increases very significantly as the number of failure modes of the system increases.

• Structural Engineering and Mechanics
• /
• 제21권5호
• /
• pp.495-506
• /
• 2005

A neural network based model is developed for the structural analysis of masonry infilled steel frames, which can account for the non-linearities in the material properties and structural behaviour. Using the data available from the analytical methods, an ANN model with input parameters consisting of dimension of frame, size of infill, properties of steel and infill was developed. It was found to be acceptable in predicting the failure modes of infilled frames and corresponding failure load subject to limitations in the training data and the predicted results are tested using the available experimental results. The study shows the importance of validating the ANN models in simulating structural behaviour especially when the data are limited. The ANN model was also compared with the available experimental results and was found to perform well.

• Structural Engineering and Mechanics
• /
• 제37권3호
• /
• pp.257-265
• /
• 2011

Plant-specific analyses of 5 types of domestic reactors in Korea are performed to assure the structural integrity of the reactor pressure vessel (RPV) during transients which are expected to initiate pressurized thermal shock (PTS) events. The failure probability of the RPV due to PTS is obtained by performing probabilistic fracture mechanics analysis. The through-wall cracking frequency is calculated and compared to the acceptance criterion. Considering the fluence at the end of life expected by surveillance test, the sufficient safety margin is expected for the structural integrity of all reactor pressure vessels except for the oldest one during the pressurized thermal shock events. If the flaw with aspect ratio of 1/12 is considered to eliminate the conservatism, the acceptance criteria is not exceeded for all plants until the fluence level of $8{\times}10^{19}\;n/cm^2$, generating sufficient margin beyond the design life.

• Structural Engineering and Mechanics
• /
• 제38권5호
• /
• pp.651-674
• /
• 2011

This paper presents a novel method for predicting the failure probability of structural or mechanical systems subjected to random loads and material properties involving multiple design points. The method involves Multicut High Dimensional Model Representation (Multicut-HDMR) technique in conjunction with moving least squares to approximate the original implicit limit state/performance function with an explicit function. Depending on the order chosen sometimes truncated Cut-HDMR expansion is unable to approximate the original implicit limit state/performance function when multiple design points exist on the limit state/performance function or when the problem domain is large. Multicut-HDMR addresses this problem by using multiple reference points to improve accuracy of the approximate limit state/performance function. Numerical examples show the accuracy and efficiency of the proposed approach in estimating the failure probability.

• Steel and Composite Structures
• /
• 제27권2호
• /
• pp.217-227
• /
• 2018

This paper utilizes 3D FEM to provide deeper insights about the structural behaviour of a 6.1 m span steel culvert, which was previously tested under extreme loading. The effect of different input parameters pertaining to the backfill soil has been investigated, where the structural response is compared to field measurements. The interface choice between the steel and soil materials was also studied. The results enabled to realize the major influence of the friction angle on the load effects. Moreover, the analyses showed some differences concerning the estimation of failure load, whereas reasons beyond this outcome were arguably presented and discussed.

• Structural Engineering and Mechanics
• /
• 제59권2호
• /
• pp.327-341
• /
• 2016

This study addresses the effect of pre-stressed cables on a pre-stressed mega-braced steel frame through employing static analysis and pushover analysis. The performances of a pre-stressed mega-braced steel frame and a pure steel frame without mega-braces are compared in terms of base shear, ductility, and failure mode. The influence of the cable parameters is also analyzed. Numerical results show that cable braces can effectively improve the lateral stiffness of a pure frame. However, it reduces structural ductility and degenerates structural pre-failure lateral stiffness greatly. Furthermore, it is found that 20% fluctuation in the cable pretension has little effect on structural ultimate bearing capacity and lateral stiffness. As comparison, 20% fluctuation in the cable diameter has much greater impact.

• Structural Engineering and Mechanics
• /
• 제71권4호
• /
• pp.329-339
• /
• 2019

Assessment of failure probability, especially for a complex structure, requires a considerable number of calls to the numerical model. Reliability methods have been developed to decrease the computational time. In this approach, the original numerical model is replaced by a surrogate model which is usually explicit and much faster to evaluate. The current paper proposed an efficient reliability method based on Monte Carlo simulation (MCS) and multi-gene genetic programming (MGGP) as a robust variant of genetic programming (GP). GP has been applied in different fields; however, its application to structural reliability has not been tested. The current study investigated the performance of MGGP as a surrogate model in structural reliability problems and compares it with other surrogate models. An adaptive Metropolis algorithm is utilized to obtain the training data with which to build the MGGP model. The failure probability is estimated by combining MCS and MGGP. The efficiency and accuracy of the proposed method were investigated with the help of five numerical examples.

• 한국전산구조공학회:학술대회논문집
• /
• 한국전산구조공학회 1999년도 봄 학술발표회 논문집
• /
• pp.195-202
• /
• 1999

In this Paper, a so-called volume-control method for nonlinear failure analysis of reinforced concrete cylindrical structures is proposed. The pressure node which defines uniform change of pressure on finite element is added into layered shell element utilizing in-plane constitutive models of reinforced concrete and layered formulation. With the pressure node formulation, one can control the change in volume enclosed by the cylindrical structures and determine the required change in pressure. An algorith of volume-control method is employed and failure analyses for RC cylindrical structures are carried out using proposed method.