• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.472-475
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• 2004

The objective of this study is to develope reasonably accurate prediction models to assess hoisting times of tower cranes in the high-rise building construction. The efficient use of the tower crane is critical to achieving the Planned floor cycle time. This research describes the derivation of mathematical models to predict the hoisting times in using a tower crane. 28 factors such as nature of load, characteristics of tower cranes, hoisting movements, operation of cranes, weather conditions and so on is considered to influence hoisting times. In order to develop the predicting hoisting times Correctly, it is divided hoisting upward and downward. Then multiple regression models for predicting supply and return hoisting times have been built up separately.

• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.96-107
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• 2013

Tower crane hoisting plan is one of the key element for the success of entire High-Rise Building construction. Hoisting time is the basic factor to appropriate hoisting plan which need to the hoisting load estimate and tower crane selection. With this reason, accurate hoisting time is needed to the proper hoisting plan. The current hoisting time estimation for High-Rise Building focus on the hoisting cycle time estimation with historical data. However, this method underestimated the external influences like environmental factor. Thus, this paper aims to develop the hoisting time estimation model with discrete event simulation which include the wind influences with certain height. According to the simulation result, the hoisting time which applied wind influence is increasing with height growth. Because of the high speed wind, the upper area of building has more operation delay time than the mechanical operation time. Seoul, the research area, has the most fastest wind speed on April and the least on October. Due to these differences of wind speed, the hoisting time is estimated with significant differences between April and October. This hosting time estimation model would be used for estimating the influence of wind. Moreover, this could apply to make the realistic hoisting plan.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.135-143
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• 2012

Constructing super-tall buildings is significantly different from constructing general ones in every technological and managerial aspects. Especially lift-car operations planning and management is one of core parts among various management techniques required during the course of the whole construction process of the super-tall buildings because vertical movements of physical resources enormously affect the efficiency of the construction processes. However, discrepancy between lifting plans and actual lifting operations causes serious efficiency problems. As an effort to solve the problem, this research suggests an improved method of estimating resource-based lifting load. The computing model developed as a result of this research facilitates more accurate computation of the total operation time and the maximum lifting capacity of the lift-cars. Further, this research can be developed as a decision support system for the total lift-car operations management.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.336-339
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• 2011

본 논문에서는 유한요소 프로그램 (ANSYS)을 이용하여 돔격납철판 (dome containment liner plate)의 양중시 좌굴특성의 연구를 수행하였다. 원전 격납철판의 양중시, 양중 와이어(wire)의 구조적인 배치특성상 격납철판에 압축력이 유발되고, 이러한 압축력은 격납철판의 좌굴을 일으킬 수 있다. 다양한 양중인자 (lifting factors)를 고려한 격납철판 유한요소모델을 수립하고, 이러한 양중인자들의 좌굴특성에 미치는 영향을 고찰하였다. 양중 와이어의 체결위치의 높이가 낮을 수록 좌굴강도가 증가하며, 라이너 플레이트 두께에 비례하여 좌굴강도가 증가하였다.

• Journal of the Korea Institute of Building Construction
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• v.18 no.5
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• pp.489-498
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• 2018

The purpose of this study was to propose a decision support model for selecting a lifting method of large spatial roof construction. First, we deducted influential factors consist of 6 factors and 19 sub-factors through literature reviews and expert's advices. Second, the relative importance of each factor was calculated by Analytic Hierarchy Process. As a result, 'site condition(0.237)' among 6 factors and 'available space of the site(0.118)' among 19 sub-factors were identified as the most important factor for selecting lifting method. In addition, methods and procedures were established for evaluating alternatives of lifting methods for each influential factor. A decision support model was completed by providing the Site Suitability Index(SSI) of each lifting method. Finally, we got advices form experts who were actually in charge of the works for large spatial construction project to validate the model. The model proposed in this study was analyzed to be useful in selecting the lifting method. The findings of this study are expected to support the decision making of on-site managers when they select the lifting method on the beginning of the project.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.58-70
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• 2017

The planning for material lifting operations is one of the key processes in high-rise building construction. Several previous studies have used rough calculations by referring to existing practices or establishing a target value for lifting cycle time or operating rate. Therefore, the purpose of this study is to propose a material lifting process optimization method for reducing the lifting cycle time and increasing the operating rate. In this study, we improve the cyclic operation network (CYCLONE) modeling method that considers the duration and zone information of each work task. This method can be used to hand over work tasks to another crew group in the work process. According to this methodology, this study optimizes the material lifting process, performs a sensitivity analysis, and evaluates the field applicability of the proposed material lifting process optimization method. Therefore, the optimized process was then applied to a high-rise building construction site. The lifting work process time and operating rate for the simulated as - is lifting process data, optimized process data, and field application result data were compared for each lifting height. From this comparison, the effectiveness of the optimization methodology was confirmed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.628-633
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• 2008

Tall building construction has been increasing due to the need to maximize land usage. It causes the increase of vertical transportation for workers and materials, which significantly affects the productivity and lifting planning, therefore, has to be made carefully based on the characteristics of the field. However, the existing method to calculate the number of lift is too simple to consider complex and various characteristics in tall building construction. Accordingly, we developed the model for selecting the best system of vertical transportation by using Queueing theory. To find out the situation of the queue of resources such as material and workers, a simulation program will be applied.

• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.131-139
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• 2009

It is critical to select the appropriate type of tower cranes for the construction of super tall buildings. However the selection is often made based on subjective personal experiences due to the lack of historical and analytical data. As a result, planning mistakes and efficiency errors sometimes occur. This research is to develop a system of hoisting analysis for appropriate tower crane selection and to provide a flexible statistical model based on the Burj Dubai project. In addition, this system hassupporting functions that can estimate the target construction period per floor, and a decision-making construction period computation method which is based on the characteristic of the selected tower cranes.

• Korean Journal of Construction Engineering and Management
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• v.10 no.6
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• pp.127-134
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• 2009

This study aims to provide an optimal model for the layout of multiple tower cranes and material stockyards which have multiple candidate positions. In a high-rise building construction, the positional allocation of tower cranes and material stockyard has an effect on the travel time of material hauling. In addition, in case of using multiple tower cranes, specific location of a tower crane allocated to each material determines the efficiency of the works. Current optimal model limited to the optimization of position of single tower crane and material stockyards. This study suggests optimal model both for the positions of multiple tower cranes and material stockyards. Layout of multiple tower cranes requires additional allocation of each crane to each material hauling and control on the minimum distance between tower cranes. This optimization model utilizes genetic algorithm to deal with complex interaction on the candidate positions of multiple tower cranes, material stockyards, and types of materials. In order to identify its utility, case study was performed.

• Korean Journal of Construction Engineering and Management
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• v.2 no.2 s.6
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• pp.47-58
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• 2001

Of all the site logistics technologies in high-rise building construction, both vertical and horizontal move plan, are the most imperative factors. And the horizontal plan follows lift-up plan as of the vertical plan. However though it may be, temporary lifts on site are numbered by heuristic formulas. The quantity of finishing material cannot be converted into lift-up load per finishing material. The lift-up plan cannot be evaluated the feasibility for finishing material move plan by a reasonable evaluation methodology. The horizontal plan is far from the vertical one. And the information as an input data for the horizontal plan is devoid of package unit size, length, and volume per finishing material. These can hardly result in reasonable and detail decision on how much to use temporary lifts, how long to use these, and where to deposit each finishing material. Therefore, this study is to suggest a decision-making model that can integrate vertical and horizontal material move plan in high-rise building construction and make a decision the plans systematically. And the study is to explain the concept, methodology, and contents of the model applied to a virtual project, named as MT 130 (Millennium Tower 130). By the model, the planner can shift his/her thinking framework on site logistics management products-oriented Into process-oriented. He/she can manage a project by the framework as system thinking, evaluate the feasibility of a lift-up plan, and decide the horizontal plan integrated with the lift-up.