• Title/Summary/Keyword: 신축공사

Search Result 250, Processing Time 0.023 seconds

Estimation Method of Waste Amount from Materials to Develop Generation Rates of Construction Waste in New Apartment Construction Sites: Focused on Bill of Quantities for Architectural Works (신축아파트 현장의 건설폐기물 발생원단위 개발을 위한 자재별 폐기물 수량 예측 방법: 건축공사 내역서의 투입 물량을 중심으로)

  • Jung, Jong-Suk;Song, Sang-Hoon;Park, Seong-Sik;Lee, Seok-Je
    • Land and Housing Review
    • /
    • v.5 no.1
    • /
    • pp.41-51
    • /
    • 2014

  • The amount of new apartment construction has been trending upward in 3~4% each year since 11% increase in 2002. Currently, in public apartment construction sites under separate delivery system for construction waste processing, the significant difference between estimated quantity for contract and actual amount frequently causes severe controversy among project participants. Many factors such as poor environmental management, inadequate contractual amount are assumed to influence the above problem, and the requirement to revise existing generation rates, the key criteria applied in estimating the quantities of waste, is increasing. Most of generation rates were established in early 2000's, and have difficulty in reflecting the changes from new materials and technologies accordingly. Therefore, this study aims to clarify the types of construction waste for each trade and the forecast method as preliminary work in order to develop more accurate generation rates for construction waste in new construction. To achieve this purpose, the architectural bills of quantities in ten apartment projects executed during 2010~2013 were collected, and the possible waste types and reasonable material loss ratio for each item from temporary works to owner-supplying material area were defined and compared through the workshops and interviews with the experts and on-site environmental managers. The results of this study will contribute to establishing the categories of construction waste for construction trades and proper generation rates by the indirect estimation method in new apartment construction in the follow-up study.

  • https://doi.org/10.5804/LHIJ.2014.5.1.041 인용 PDF KSCI

A Study on the Model of Artificial Neural Network for Construction Cost Estimation of Educational Facilities at Conceptual Stage (교육시설의 개념단계 공사비예측을 위한 인공신경망모델 개발에 관한 연구)

  • Son, Jae-Ho;Kim, Chung-Yung
    • Korean Journal of Construction Engineering and Management
    • /
    • v.7 no.4 s.32
    • /
    • pp.91-99
    • /
    • 2006

  • The purpose of this study is propose an Artificial Neural Network(ANN) model for the construction estimate of the public educational facility at conceptual stage. The current method for the preliminary cost estimate of the public educational facility uses a single-parameter which is based on basic criteria such as a gross floor area. However, its accuracy is low due to the nature of the method. When the difference between the conceptual estimate and detailed estimate is huge, the project has to be modified to meet the established budget. Thus, the ANN model is developed by using multi-parameters in order to estimate the project budget cost more accurately. The result of the research shows 6.82% of the testing error rates when the developed model was tested. The error rates and the error range of the developed model are smaller than those of the general preliminary estimating model at conceptual stage. Since the proposed ANN model was trained using the detailed estimate information of the past 5 years' school construction data, it is expected to forecast the school project cost accurately.

  • PDF KSCI