• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.190-198
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• 2008

Recently construction equipments have been used in line with building the structures that have become taller, larger and complex. And as the works at the elevated level for apartment and residential-commercial building projects have been on the rise, the number of tower cranes mobilized tends to be increased too. Due to such an increase in using the equipment serves the critical factor for the project management. The climbing-type tower crane, which increases its height following the structure, has been increased and the need for selecting the optimal model has been increasingly Important in securing the stability. The study hereby proposes the model to evaluate the stability of the climbing-type tower crane. The model was designed to assist in selecting the type of crane as well as in developing the design of Collar comprising the 3 types of support member, evaluating the stability and designing the embed. The model proposed is expected to make commitment in selecting the optimal type of equipment and evaluating the support member and embed for enhancing the stability, thereby ultimately enabling to implement the prefect in efficient way.

• Proceedings of the KIEE Conference
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• 2008.04b
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• pp.19-21
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• 2008

현행 배전선로의 전주근가(1.2m 장방형)는 오거크레인을 이용한 건주공사 완료 후 전주근가 시공을 위한 별도의 인력 또는 백호우 장비가 추가로 투입피어 시공함으로써 인력으로는 공사시간이 장기간 소요되고 백호우장비로는 작업장 환경훼손과 시공원가 상승의 문제점이 있었다. 이러한 문제점을 해소하기 위하여 건주공사에 사용되는 오거크레인의 굴착 직경을 80cm까지 확장 가능한 '신축형 오거크레인용 유압식 확장기'와 원형 굴착공에 시공이 가능한 '아치형 전주근가'를 개발하고 이를 이용한 시공기술을 개발함으로써 동일장소에서 굴착작업이 수반되는 건주작업, 전주근가 매설작업을 가능하게 하여 장비활용성 증대, 작업장 환경개선, 공사기간 단축 및 시공원가 절감 등의 효과가 기대되는 기술을 개발하였다.

• 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.