This page has only limited features, please log in for full access.
Recently, social interest in the deteriorated bridges and infrastructure has been increasing. Also, studies on performance prediction and maintenance decision making of structures are underway. In this study, it was proposed an algorithm to create an optimal maintenance scenario that takes into consideration the relationship between the members of bridge that affect each other, rather than the conventional maintenance that is focused on single members of the bridge. Since maintenance scenario creation is discrete in terms of time and cost. So in this study, it is used a genetic algorithm. Each member of bridge has a subordinate relation that takes into account member damage transitions effect and the elimination of duplication maintenance cost, which was established through the Korean bridge maintenance manual and expert opinion. In order to predict the performance change of each member, the algorithm used the condition prediction model of each member of the bridge, which was created by multiple regression analysis based on the actual bridge case. Also, it used the maintenance cost model of members for cost estimation, it has created and applied it through actual maintenance case analysis. The constraint of the algorithm is set to the minimum maintenance level of the bridge by the bridge administrator. And, it was conducted the case study about real bridge model using the optimal maintenance model, analyzed the cost-effect and made maintenance scenario.
Sungyeol Jin; Jin Hyuk Lee; Yangrok Choi; Jaehoon Lim; Jung Sik Kong. Optimal Bridge Maintenance Algorithms Considering Subordinate Relation with Bridge Members. Lecture Notes in Civil Engineering 2020, 1237 -1242.
AMA StyleSungyeol Jin, Jin Hyuk Lee, Yangrok Choi, Jaehoon Lim, Jung Sik Kong. Optimal Bridge Maintenance Algorithms Considering Subordinate Relation with Bridge Members. Lecture Notes in Civil Engineering. 2020; ():1237-1242.
Chicago/Turabian StyleSungyeol Jin; Jin Hyuk Lee; Yangrok Choi; Jaehoon Lim; Jung Sik Kong. 2020. "Optimal Bridge Maintenance Algorithms Considering Subordinate Relation with Bridge Members." Lecture Notes in Civil Engineering , no. : 1237-1242.
Based on the earthquakes that occurred recently in Gyeongju and Pohang provinces, the Korea Peninsula needs to be prepared for a strong earthquake that might occur in the future. In this study, a strain tendency model based on the response surface method was used to analyze buried straight pipelines. The strains of the buried pipelines were computed through structural dynamics analysis, considering the section properties and ground types. In the case of the buried straight pipelines, this strain tendency model provided the necessary information for setting the strain-based design and a guideline for predicting post-earthquake damages in the Korea Peninsula.
Yangrok Choi; Hojune Ann; Kyungrok Kwon; Yun-Chan Jang; Young-Pyo Kim; Jung Sik Kong. Seismic Structural Analysis of Buried Pipelines and Safety Evaluation Model Based on Response Surface Method. Journal of the Korean Society of Hazard Mitigation 2020, 20, 225 -236.
AMA StyleYangrok Choi, Hojune Ann, Kyungrok Kwon, Yun-Chan Jang, Young-Pyo Kim, Jung Sik Kong. Seismic Structural Analysis of Buried Pipelines and Safety Evaluation Model Based on Response Surface Method. Journal of the Korean Society of Hazard Mitigation. 2020; 20 (3):225-236.
Chicago/Turabian StyleYangrok Choi; Hojune Ann; Kyungrok Kwon; Yun-Chan Jang; Young-Pyo Kim; Jung Sik Kong. 2020. "Seismic Structural Analysis of Buried Pipelines and Safety Evaluation Model Based on Response Surface Method." Journal of the Korean Society of Hazard Mitigation 20, no. 3: 225-236.
The purpose of a bridge maintenance strategy is to make effective decisions by evaluating current performance and predicting future conditions of the bridge. The social cost because of the rapid increase in the number of decrepit bridges. The current bridge maintenance system relies on traditional man-power-based methods, which determine the bridge performance by employing a material deterioration model, and thus shows uncertainty in predicting the bridge performance. In this study, a new type of performance degradation model is developed using the actual concrete deck condition index (or grade) data of the general bridge inspection history database (1995–2017) on the national road bridge of the bridge management system in Korea. The developed model uses the long short-term memory algorithm, which is a type of recurrent neural network, as well as layer normalization and label smoothing to improve the applicability of basic data. This model can express the discrete historical degradation indices in continuous form according to the service life. In addition, it enables the prediction of bridge performance by using only basic information about new and existing bridges.
Youngjin Choi; Jinhyuk Lee; JungSik Kong. Performance Degradation Model for Concrete Deck of Bridge Using Pseudo-LSTM. Sustainability 2020, 12, 3848 .
AMA StyleYoungjin Choi, Jinhyuk Lee, JungSik Kong. Performance Degradation Model for Concrete Deck of Bridge Using Pseudo-LSTM. Sustainability. 2020; 12 (9):3848.
Chicago/Turabian StyleYoungjin Choi; Jinhyuk Lee; JungSik Kong. 2020. "Performance Degradation Model for Concrete Deck of Bridge Using Pseudo-LSTM." Sustainability 12, no. 9: 3848.
A deterioration model plays an important role to predict the valid total maintenance cost for sustainable maintenance of bridges. In the current state-of-the-art, the deterioration model has regression parameters as a probabilistic process by an initially determined mean and standard deviation, called an existing model. However, the existing model has difficulty to predict maintenance costs accurately, because it cannot reflect an information based on structural damage at an operational stage. In this research, updating the probabilistic deterioration model is presented for the prediction of pre-stressed concrete I-type (PSCI) girder bridges using a particle filtering technique which is an advanced Bayesian updating method based on big data analysis. The method enables predicting maintenance cost fitted in the current structural status, which includes the recent information by inspection with bridge-monitoring. The method is adapted in the Mokdo Bridge which is currently being used for evaluating the efficiency of maintenance cost by effects on updated probabilistic values with two different scenarios. As the result, it is shown that the proposed method is effective in predicting maintenance costs.
Jin Hyuk Lee; Yangrok Choi; Hojune Ann; Sung Yeol Jin; Seung-Jung Lee; Jung Sik Kong. Maintenance Cost Estimation in PSCI Girder Bridges Using Updating Probabilistic Deterioration Model. Sustainability 2019, 11, 6593 .
AMA StyleJin Hyuk Lee, Yangrok Choi, Hojune Ann, Sung Yeol Jin, Seung-Jung Lee, Jung Sik Kong. Maintenance Cost Estimation in PSCI Girder Bridges Using Updating Probabilistic Deterioration Model. Sustainability. 2019; 11 (23):6593.
Chicago/Turabian StyleJin Hyuk Lee; Yangrok Choi; Hojune Ann; Sung Yeol Jin; Seung-Jung Lee; Jung Sik Kong. 2019. "Maintenance Cost Estimation in PSCI Girder Bridges Using Updating Probabilistic Deterioration Model." Sustainability 11, no. 23: 6593.
For the last ten years, the number of cases of large-scale fires which occur on bridges, tunnels, and underpasses has increased. Such fires cause primary and secondary damage, including loss of human life, traffic congestion, and extensive financial damage. Therefore, a risk grade model and effective response plan need to be established for such cases in order to minimize the social and economic costs of bridge fires. In this study, the hazard factors contributing to bridge fires were selected to apply a risk grade model. A total of 144 bridge fire simulations were performed to calculate a surface temperature based on time by using Fire Dynamics Simulation (FDS). A risk grade in accordance with the degree of surface damage state caused by temperature of bridges was presented, and the mobilization time criteria for fire suppression were proposed. The surface temperatures based on time can be classified according to the vertical clearance and mobilization time criteria for fire suppression. Through the classified maximum surface temperatures based on time for bridges, the risk grade can be estimated according to the degree of surface damage state caused by temperature. In order to evaluate the applicability of the established risk grade model to the actual bridge, the arrival time taken from the bridge to the fire station was calculated through a Geographic Information System (GIS) network analysis, and the grades for actual bridge cases were assessed. The purpose of this bridge fire risk grade model is to establish a disaster prevention strategy based on risk grades and to minimize the subsequent social damage by determining a priori the disaster scale.
Hojune Ann; Youngjin Choi; Jin Hyuk Lee; Young Ik Jang; Jung Sik Kong. Semiquantitative Fire Risk Grade Model and Response Plans on a National Highway Bridge. Advances in Civil Engineering 2019, 2019, 1 -13.
AMA StyleHojune Ann, Youngjin Choi, Jin Hyuk Lee, Young Ik Jang, Jung Sik Kong. Semiquantitative Fire Risk Grade Model and Response Plans on a National Highway Bridge. Advances in Civil Engineering. 2019; 2019 ():1-13.
Chicago/Turabian StyleHojune Ann; Youngjin Choi; Jin Hyuk Lee; Young Ik Jang; Jung Sik Kong. 2019. "Semiquantitative Fire Risk Grade Model and Response Plans on a National Highway Bridge." Advances in Civil Engineering 2019, no. : 1-13.
A safe and reliable railway operation requires an organic and systematic approach to railway maintenance. Despite the importance of timely and valid track maintenance and applicability of inspected data to the optimum track management process, inspected wear data inspected by a railway inspection system in Korea have not been utilized for decision making of maintenance scenario, but just accumulated. Moreover, the process of inspecting wear data includes some uncertainties, probabilistic-based models have more reasonable application in field. This can be accomplished by developing probabilistic-based stochastic model considering uncertainties for the prediction of rail wear using inspected data. This paper reports on the development and verification of a probabilistic forecasting model for rail wear progress. This developed forecasting model utilizes the particle filter method concept based on Bayesian theory and real inspected wear data of Seoul Metro are applied to verify the model.
Min Chul Jeong; Seung-Jung Lee; Kyunghwa Cha; Goangseup Zi; Jung Sik Kong. Probabilistic model forecasting for rail wear in seoul metro based on bayesian theory. Engineering Failure Analysis 2018, 96, 202 -210.
AMA StyleMin Chul Jeong, Seung-Jung Lee, Kyunghwa Cha, Goangseup Zi, Jung Sik Kong. Probabilistic model forecasting for rail wear in seoul metro based on bayesian theory. Engineering Failure Analysis. 2018; 96 ():202-210.
Chicago/Turabian StyleMin Chul Jeong; Seung-Jung Lee; Kyunghwa Cha; Goangseup Zi; Jung Sik Kong. 2018. "Probabilistic model forecasting for rail wear in seoul metro based on bayesian theory." Engineering Failure Analysis 96, no. : 202-210.
As environmental and energy issues continue to emerge as global concerns, Leadership in Energy and Environmental Design (LEED) certification is becoming highly valued. However, since additional costs for LEED certification cannot be estimated before proceeding with certification projects, financial losses are often incurred. Additional construction costs are the most significant issue faced by enterprises aiming for LEED certification. Rough estimates of the range of additional construction costs are available, but it is difficult to identify factors that increase or decrease the price of a building. Thus, there is a need for a program that provides average data for LEED certification costs and suggests the easiest way to attain credits for a building. Considering that LEED certification is a rating system, this study develops an optimization algorithm that aims to derive the minimum score for a desired LEED level at minimal cost. Credits are studied and classified by their difficulty and the required cost, allowing for an algorithm that can suggest a customized approach to acquire the minimal required score. The practical, data-driven program developed herein helps shorten the consulting process and increases the accessibility of LEED certification.
Jae-Yong Park; Sul-Geon Choi; Da-Kyung Kim; Min-Chul Jeong; Jung-Sik Kong. Credit Optimization Algorithm for Calculating LEED Costs. Sustainability 2017, 9, 1607 .
AMA StyleJae-Yong Park, Sul-Geon Choi, Da-Kyung Kim, Min-Chul Jeong, Jung-Sik Kong. Credit Optimization Algorithm for Calculating LEED Costs. Sustainability. 2017; 9 (9):1607.
Chicago/Turabian StyleJae-Yong Park; Sul-Geon Choi; Da-Kyung Kim; Min-Chul Jeong; Jung-Sik Kong. 2017. "Credit Optimization Algorithm for Calculating LEED Costs." Sustainability 9, no. 9: 1607.
Ho-June Ann; Sang-Geun Song; Dae-Hong Min; Sang-Mi An; Jung-Sik Kong. Experimental and Analytical Evaluation of the Seismic performance of a Concrete Box Structure Strengthened with Pre-flexed Members. Journal of the Computational Structural Engineering Institute of Korea 2016, 29, 397 -403.
AMA StyleHo-June Ann, Sang-Geun Song, Dae-Hong Min, Sang-Mi An, Jung-Sik Kong. Experimental and Analytical Evaluation of the Seismic performance of a Concrete Box Structure Strengthened with Pre-flexed Members. Journal of the Computational Structural Engineering Institute of Korea. 2016; 29 (5):397-403.
Chicago/Turabian StyleHo-June Ann; Sang-Geun Song; Dae-Hong Min; Sang-Mi An; Jung-Sik Kong. 2016. "Experimental and Analytical Evaluation of the Seismic performance of a Concrete Box Structure Strengthened with Pre-flexed Members." Journal of the Computational Structural Engineering Institute of Korea 29, no. 5: 397-403.
The residual strength of components can be abruptly reduced due to multiple site damage (MSD). In general, the fatigue and fracture performance of MSD contains a significant number of uncertainties. Major uncertainties can be characterized by initial flaw, material variability and crack growth rates, among other factors. To cope with uncertain random variables, some probabilistic methods can be considered. However, these seldom obtain efficient and reliable results because of the complexities included in computations of fatigue and fracture mechanics, and probabilistic approaches. To overcome these difficulties in the life-cycle reliability analysis of MSD, the Gaussian process (GP) response surface model has been assembled with one of the recent multiple crack analysis tools, XFEM, in this study. The assembled GP-XFEM method represents a convenient way to obtain the response surface and sensitivity factors of multiple crack propagation in a structure (or a component) under a complex environment with computational efficiency. The accuracy and advantages of the proposed method were verified by a number of experimental results and numerical examples.
Jung-Hoon Kim; Thanh Chau-Dinh; Goangseup Zi; Won Woo Lee; Jung Sik Kong. Probabilistic fatigue integrity assessment in multiple crack growth analysis associated with equivalent initial flaw and material variability. Engineering Fracture Mechanics 2016, 156, 182 -196.
AMA StyleJung-Hoon Kim, Thanh Chau-Dinh, Goangseup Zi, Won Woo Lee, Jung Sik Kong. Probabilistic fatigue integrity assessment in multiple crack growth analysis associated with equivalent initial flaw and material variability. Engineering Fracture Mechanics. 2016; 156 ():182-196.
Chicago/Turabian StyleJung-Hoon Kim; Thanh Chau-Dinh; Goangseup Zi; Won Woo Lee; Jung Sik Kong. 2016. "Probabilistic fatigue integrity assessment in multiple crack growth analysis associated with equivalent initial flaw and material variability." Engineering Fracture Mechanics 156, no. : 182-196.
The fatigue life prediction of steel bridges depends on the amplitude, stress ratio, stress interaction (stress order), and frequency of variable stress spectra. The stress interaction is always altering the crack growth rate under the application of variable stress spectra. The random nature of variable stress spectra makes it difficult to model all these influential parameters correctly. In this study, the fatigue prediction model of steel bridges based on linear elastic fracture mechanics was developed by using measured variable stress spectra of three steel bridges. Variable stress spectra data are used to calculate and analyze the entropy index of stress interaction and crack severity index (CSI) of the effective stress associated with the characteristics of the variable stress spectra. Using these results, the results of fatigue analysis, and multiple regression, we develop prediction models for entropy index–CSI–fatigue crack length, average daily truck traffic (ADTT)–CSI–fatigue crack length, and ADTT-entropy-fatigue crack length. These models can predict the fatigue life of a bridge structure, and this information can be used to plan lifetime maintenance for similar bridges with variable stress spectra.
Jung-Hoon Kim; Min-Chul Jeong; Tae-Hyung Lee; Won-Woo Lee; Jung-Sik Kong. Development of fatigue prediction model for steel bridges based on characteristics of variable stress spectra. International Journal of Damage Mechanics 2016, 26, 951 -967.
AMA StyleJung-Hoon Kim, Min-Chul Jeong, Tae-Hyung Lee, Won-Woo Lee, Jung-Sik Kong. Development of fatigue prediction model for steel bridges based on characteristics of variable stress spectra. International Journal of Damage Mechanics. 2016; 26 (7):951-967.
Chicago/Turabian StyleJung-Hoon Kim; Min-Chul Jeong; Tae-Hyung Lee; Won-Woo Lee; Jung-Sik Kong. 2016. "Development of fatigue prediction model for steel bridges based on characteristics of variable stress spectra." International Journal of Damage Mechanics 26, no. 7: 951-967.
Min Chul Jeong; Gun Woo Kim; Jung Hoon Kim; Yun Suk Kang; Jung Sik Kong. Application of Time-Series Model to Forecast Track Irregularity Progress. Journal of the Computational Structural Engineering Institute of Korea 2012, 25, 331 -338.
AMA StyleMin Chul Jeong, Gun Woo Kim, Jung Hoon Kim, Yun Suk Kang, Jung Sik Kong. Application of Time-Series Model to Forecast Track Irregularity Progress. Journal of the Computational Structural Engineering Institute of Korea. 2012; 25 (4):331-338.
Chicago/Turabian StyleMin Chul Jeong; Gun Woo Kim; Jung Hoon Kim; Yun Suk Kang; Jung Sik Kong. 2012. "Application of Time-Series Model to Forecast Track Irregularity Progress." Journal of the Computational Structural Engineering Institute of Korea 25, no. 4: 331-338.
J.-H. Kim; T. Chau-Dinh; G. Zi; J.-S. Kong. The effect of compression stresses, stress level and stress order on fatigue crack growth of multiple site damage. Fatigue & Fracture of Engineering Materials & Structures 2012, 35, 903 -917.
AMA StyleJ.-H. Kim, T. Chau-Dinh, G. Zi, J.-S. Kong. The effect of compression stresses, stress level and stress order on fatigue crack growth of multiple site damage. Fatigue & Fracture of Engineering Materials & Structures. 2012; 35 (10):903-917.
Chicago/Turabian StyleJ.-H. Kim; T. Chau-Dinh; G. Zi; J.-S. Kong. 2012. "The effect of compression stresses, stress level and stress order on fatigue crack growth of multiple site damage." Fatigue & Fracture of Engineering Materials & Structures 35, no. 10: 903-917.
Fatigue life in critical parts of structure components, which is subjected to variable amplitude loading, is a very complex subject. When a fatigue life is influenced by these load variations, accelerations and/or retardations in crack growth rate can occur. Thus, an accurate prediction of fatigue life requires an adequate evaluation of these stress interaction effects. There are many different indexes for calculating fatigue damage at critical locations. The crack severity index based on crack growth is one of the methodologies implemented for modern military aircrafts to define mission severity relative to a known reference usage. But, this index cannot consider stress interaction. In this study, a novel index was proposed to evaluate an effect for stress interaction by using entropy concept, and fatigue life prediction methodology was developed by using entropy index of stress interaction and crack severity index of effective stress.
Junghoon Kim; Jio Yi; Jihwan Kim; Goangseup Zi; Jung Sik Kong. Fatigue life prediction methodology using entropy index of stress interaction and crack severity index of effective stress. International Journal of Damage Mechanics 2012, 22, 375 -392.
AMA StyleJunghoon Kim, Jio Yi, Jihwan Kim, Goangseup Zi, Jung Sik Kong. Fatigue life prediction methodology using entropy index of stress interaction and crack severity index of effective stress. International Journal of Damage Mechanics. 2012; 22 (3):375-392.
Chicago/Turabian StyleJunghoon Kim; Jio Yi; Jihwan Kim; Goangseup Zi; Jung Sik Kong. 2012. "Fatigue life prediction methodology using entropy index of stress interaction and crack severity index of effective stress." International Journal of Damage Mechanics 22, no. 3: 375-392.
Min Chul Jeong; Jung Hoon Kim; Jee Ha Lee; Yun Suk Kang; Jung Sik Kong. Study for Progress Rate of Standard Deviation of Irregularity Based on Track Properties for the Railway Track Maintenance Cycle Analysis. Journal of the Korea institute for structural maintenance and inspection 2012, 16, 31 -40.
AMA StyleMin Chul Jeong, Jung Hoon Kim, Jee Ha Lee, Yun Suk Kang, Jung Sik Kong. Study for Progress Rate of Standard Deviation of Irregularity Based on Track Properties for the Railway Track Maintenance Cycle Analysis. Journal of the Korea institute for structural maintenance and inspection. 2012; 16 (3):31-40.
Chicago/Turabian StyleMin Chul Jeong; Jung Hoon Kim; Jee Ha Lee; Yun Suk Kang; Jung Sik Kong. 2012. "Study for Progress Rate of Standard Deviation of Irregularity Based on Track Properties for the Railway Track Maintenance Cycle Analysis." Journal of the Korea institute for structural maintenance and inspection 16, no. 3: 31-40.
In many countries including Korea, a number of studies have been carried out to propose methods for managing the deterioration of bridges in order to obtain the optimum maintenance strategy associated with higher performance and lower cost. A number of computer-aided bridge management systems have been developed based on these methods. Bridge condition based on visual inspection was monitored and used as a threshold. Because of the limitation of visual inspection as a safety index, other safety related indexes such as a damage index or reliability index have been adopted while the bridge management system has evolved as a decision making tool equipped with the capability of generating the optimal maintenance scenario. However, most bridge management systems still have some restrictions in producing feasible solutions. Some important restrictions are related to the multi-objectives, cost-maintenance interaction and subordinate relation between bridge members. In this study, a new bridge management method is proposed and computer software based on this method has been developed to obtain the life-cycle optimum maintenance strategy for deteriorating steel box girder bridges. A multi-objective optimisation problem is formulated and the Genetic Algorithm is applied to obtain optimal tradeoff maintenance scenarios.
Kyung-Hoon Park; Sang-Yoon Lee; Cheolwoo Park; Hyo-Nam Cho; Jung Sik Kong. Safety-based multi-objective life-cycle management system for steel box girder bridges. Structure and Infrastructure Engineering 2012, 8, 211 -225.
AMA StyleKyung-Hoon Park, Sang-Yoon Lee, Cheolwoo Park, Hyo-Nam Cho, Jung Sik Kong. Safety-based multi-objective life-cycle management system for steel box girder bridges. Structure and Infrastructure Engineering. 2012; 8 (3):211-225.
Chicago/Turabian StyleKyung-Hoon Park; Sang-Yoon Lee; Cheolwoo Park; Hyo-Nam Cho; Jung Sik Kong. 2012. "Safety-based multi-objective life-cycle management system for steel box girder bridges." Structure and Infrastructure Engineering 8, no. 3: 211-225.
This paper presents the simple approaches to undertake reliability-based design optimization (RBDO) of bridges by integrating the first order reliability approximation and optimal algorithms of Matlab optimization toolbox. The approaches are applied to solve three RBDO problems that represent almost the practical designs of bridges. At every step of the optimal algorithm, reliability index is calculated without increasing the number of constraints to reduce the computational cost. Moreover, these approaches allow users to formulate the real RBDO problems with the separation or combination of component and system failure probabilities as well as equality and inequality probabilistic constraints. Numerical examples indicate the improvement of approaches due to lower design variables and lower cost for comparing to existing results with the same value of target reliability index. The proposed approaches are simple but efficient for solving RBDO problems to produce the better results than existing approaches and the obtained results may be closer to the exact optimization results.
Nguyen Van Son; Heung Min Park; Min Chul Jeong; Jung Sik Kong. Simple Approaches for Efficiently Reliability-Based Design Optimization of Bridges. Advances in Structural Engineering 2011, 14, 857 -870.
AMA StyleNguyen Van Son, Heung Min Park, Min Chul Jeong, Jung Sik Kong. Simple Approaches for Efficiently Reliability-Based Design Optimization of Bridges. Advances in Structural Engineering. 2011; 14 (5):857-870.
Chicago/Turabian StyleNguyen Van Son; Heung Min Park; Min Chul Jeong; Jung Sik Kong. 2011. "Simple Approaches for Efficiently Reliability-Based Design Optimization of Bridges." Advances in Structural Engineering 14, no. 5: 857-870.
Yong-Soo Lim; Hyun-Young Song; Han-Kee Jeong; Min-Chul Jeong; Jung-Sik Kong. A Development of Quantitative Analysis Model for the Policy Analysis in Feasibility Study Using the Performance Assessment Method. Korean Journal of Construction Engineering and Management 2011, 12, 89 -100.
AMA StyleYong-Soo Lim, Hyun-Young Song, Han-Kee Jeong, Min-Chul Jeong, Jung-Sik Kong. A Development of Quantitative Analysis Model for the Policy Analysis in Feasibility Study Using the Performance Assessment Method. Korean Journal of Construction Engineering and Management. 2011; 12 (2):89-100.
Chicago/Turabian StyleYong-Soo Lim; Hyun-Young Song; Han-Kee Jeong; Min-Chul Jeong; Jung-Sik Kong. 2011. "A Development of Quantitative Analysis Model for the Policy Analysis in Feasibility Study Using the Performance Assessment Method." Korean Journal of Construction Engineering and Management 12, no. 2: 89-100.
Ji-O Lee; Min-Chul Jeong; Kyung-Hoon Park; Jung-Sik Kong. Structural Performance Analysis of New Type CFTA Girder Bridge. Journal of Korean Society of Hazard Mitigation 2011, 11, 15 -22.
AMA StyleJi-O Lee, Min-Chul Jeong, Kyung-Hoon Park, Jung-Sik Kong. Structural Performance Analysis of New Type CFTA Girder Bridge. Journal of Korean Society of Hazard Mitigation. 2011; 11 (1):15-22.
Chicago/Turabian StyleJi-O Lee; Min-Chul Jeong; Kyung-Hoon Park; Jung-Sik Kong. 2011. "Structural Performance Analysis of New Type CFTA Girder Bridge." Journal of Korean Society of Hazard Mitigation 11, no. 1: 15-22.
Van-Son Nguyen; Min Chul Jeong; Tong Seok Han; Jung Sik Kong. Reliability-based optimisation design of post-tensioned concrete box girder bridges considering pitting corrosion attack. Structure and Infrastructure Engineering 2010, 1 -19.
AMA StyleVan-Son Nguyen, Min Chul Jeong, Tong Seok Han, Jung Sik Kong. Reliability-based optimisation design of post-tensioned concrete box girder bridges considering pitting corrosion attack. Structure and Infrastructure Engineering. 2010; ():1-19.
Chicago/Turabian StyleVan-Son Nguyen; Min Chul Jeong; Tong Seok Han; Jung Sik Kong. 2010. "Reliability-based optimisation design of post-tensioned concrete box girder bridges considering pitting corrosion attack." Structure and Infrastructure Engineering , no. : 1-19.
Hyun-Jun Jung; Heung-Min Park; Jung-Sik Kong; Goang-Seup Zi; Gyu-Seon Kim. Development of a Successive LCC Model for Marine RC Structures Exposed to Chloride Attack on the Basis of Bayesian Approach. Journal of the Korea Concrete Institute 2009, 21, 359 -366.
AMA StyleHyun-Jun Jung, Heung-Min Park, Jung-Sik Kong, Goang-Seup Zi, Gyu-Seon Kim. Development of a Successive LCC Model for Marine RC Structures Exposed to Chloride Attack on the Basis of Bayesian Approach. Journal of the Korea Concrete Institute. 2009; 21 (3):359-366.
Chicago/Turabian StyleHyun-Jun Jung; Heung-Min Park; Jung-Sik Kong; Goang-Seup Zi; Gyu-Seon Kim. 2009. "Development of a Successive LCC Model for Marine RC Structures Exposed to Chloride Attack on the Basis of Bayesian Approach." Journal of the Korea Concrete Institute 21, no. 3: 359-366.