• 한국재난정보학회 논문집
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• 제10권1호
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• pp.15-24
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• 2014

본 연구는 설계 과정의 분해, 시공 과정의 조립, 공사비 적산 등 공사의 계획과 관리에 걸친 모든 공사 관리의 업무를 체계화할 수 있는 공동주택의 공사정보분류체계를 제시하였다. 또한, 본 연구는 이 공사정보분류체계를 작업순서에 따라 관계형 데이터베이스(Data Base)로 구축 방법을 제시하였고, 구축된 데이터베이스를 근거로 적산 자동화 시스템 개념 모형을 구축하였다. 이러한 적산 자동화 시스템 개념 모형은 기존 적산 시스템들의 근본적인 문제점이었던 부적절함을 해소하여 공동주택 건설현장에서 효과적으로 적용가능한 과학적인 적산 시스템으로 활용할 수 있을 것이다.

• 한국건축시공학회지
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• 제23권4호
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• pp.485-496
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• 2023

Precise construction cost estimation is paramount to determining the total construction expense of a project prior to the initiation of the construction phase. Despite this, manual quantification and cost estimation methods, which continue to be widely used, may result in imprecise estimation and subsequent financial loss. Given the fast-paced and efficiency-demanding nature of the construction industry, trustworthy quantity and cost estimation is essential. To mitigate these obstacles, this research is focused on establishing an automated quantity estimation algorithm, particularly designed for the main rebar of beams which are recognized for their complicated reinforcement configurations. The exact quantity derived from the proposed algorithm is compared to the manually approximated quantity, reflecting a variance of 10.27%. As a result, significant errors and impending financial loss can be averted. The implementation of the findings from this research holds the potential to significantly assist construction firms in quickly and accurately estimating rebar quantities while adhering strictly to applicable specifications and regulatory requirements.

• 한국디지털건축인테리어학회논문집
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• 제1권1호
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• pp.46-50
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• 2001

It is known that to automate the quantity take-off process enables you to increase the productivity best among the construction business field. However, the limitation of 2D(Two-dimension) CAD System prevented a cost-estimating system which makes the great effects on the quantity take-off process from being developed. This study aims that you can automate both the itemized statements and the quantity take-off process by using commercially available object-oriented CAD system. The commercially available CAD system today does not give us entire satisfaction. This study shows the deduction of the old boundaries of the object-oriented CAD system and the solution of those problems. And it also studied about the quantity take-off process and the automated cost-estimating system that can be used in the simple and plain repair-maintenance work such as the execution drawing which doesn't need the complicated drawings.

• 한국건축시공학회지
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• 제23권4호
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• pp.497-508
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• 2023

Manual estimation of rebar quantities by contractors often yields discrepancies between projected and actual amounts used in the construction phase, leading to cost inaccuracies and potential logistical challenges. To address these issues, there is a clear need for a method that allows precise estimation of rebar quantities during the design phase. Such a method would enhance contractor competitiveness during project bids, promote accurate cost calculations, and avert superfluous rebar purchases on-site. Given that columns are the primary structural components in reinforced concrete(RC) buildings and necessitate considerable amounts of rebar, this study focuses on creating an automated algorithm for estimating column rebar quantities. An analysis of the accurate quantities obtained via the study and those derived from manual estimation reveals a discrepancy of 0.346 tons or 2.056%. This comparison affirms the proposed algorithm's efficacy in eliminating errors from overestimation or underestimation of rebar quantities. The practical implications of this study are significant for construction companies as it fosters efficient and precise estimation of rebar quantities, ensuring compliance with related specifications and governing regulations.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.294-295
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• 2018

Nowadays, the construction industry utilizes 3D models in the designing process, on which research is being conducted to establish an automated system for project cost estimation in connection with information related to construction such as material unit costs and wages, beyond the level of design interference review and construction quantity estimation. In this process, the project cost is estimated in connection with unit price data after takeoff the quantity based on the 3D model attributes and data types. A way to reduce cost and risk would be first developing prototypes of some of essential buildings and works, comparing and validating the outcomes, and then extending to the whole scope, because estimates differ on the basis of the scope and level of 3D design models as well as the data accuracy. This study analyzes case studies of project cost estimation by computing the quantity on the basis of 3D model in the construction industry and explores methodologies and management measures applicable for estimating nuclear power plant construction project costs.

• 한국건설관리학회논문집
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• 제21권6호
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• pp.113-124
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• 2020

노후화된 공동주택을 리모델링을 통하여 성능개선을 하고자 하는 사회적 움직임이 포착되고 있다. 이를 위해 리모델링의 공사비 분석, 구조 분석, 정치제도적 검토등이 진행되어 리모델링을 활성화방안이 제시되고 있다. 그러나 현재 공동주택 리모델링의 공사비 분석방법이 연구상으로 제시되고 있으나, 실무적 활용가능성에서 한계점이 존재하는 상황이다. 구체적으로, 실무적으로 활용되기 위해서는 현재 진행되었거나 진행 중인 사례에는 적용가능하지만 향후 발생할 사례 또한 공사비분석에 활용되기에 분석방법의 지속 가능성이 결여되어 있다. 따라서 본 연구에서는 공동주택 리모델링 공사비견적의 지속가능성을 위해 자동화된 견적방법을 제시하고자 한다. 공사비견적의 지속가능성을 위해서 Deep-Learning을 견적절차에 도입하였다. 구체적으로, 공동주택 리모델링에서 발생할 수 있는 설계요소,공종, 공사비 상승계수의 관계를 자동적으로 찾는 방안을 제시하였다. 추가적으로 Artificial Neural Network기반 견적의 태생적인 한계점인 불확실성 미반영을 보완하고자 Monte Carlo Simulation을 견적절차에 산입하였다. 사례가 누적될수록 더 높은 정확도를 제시하기 위하여 견적결과를 기존의 누적데이터와 비교를 하여 더 높은 정확도를 산출하는 방안 또한 제시되었다. 본 연구에서 제안한 자동화된 개산견적의 지속가능성을 검토하고자 13개 사례의 학습절차와 추가 2개 사례의 누적절차를 거쳤다. 결과적으로 추가된 2개 프로젝트의 특성이 반영된 새로운 공사비견적절차가 자동적으로 제시되었다. 본 연구에서는 15개의 사례를 활용하여 개산견적의 방안을 활용하였으나, 사례가 누적되어 반영될 경우 본 연구의 기대효과는 더욱 높아질 것으로 사료된다.

• 대한산업공학회지
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• 제35권1호
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• pp.73-86
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• 2009

This paper discusses a method of determining the optimal design of a block. A horizontal layout of blocks is assumed in which transfer points are located at a side of the block. Each block has several transfer points (TPs) each of which is assigned to a group of adjacent bays and located at the center of the assigned group. The goal is to find the optimal size of a block and the optimal number of TPs while minimizing the total cost consisting of the fixed and operational cost of yard cranes (YCs), the operational cost of internal trucks, and the installation cost of TPs. Constraints on the maximum expected system time of trucks are imposed for the optimization. Formulas for estimating handling operation cycle times of a YC are derived analytically. Numerical experiments are conducted to illustrate optimal block designs for a given set of data.

• 한국BIM학회 논문집
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• 제1권1호
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• pp.13-17
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• 2011

최근 설계사무소의 단가 및 설계 생산성이 계속 낮아지면서 3차원 설계에 대한 관심이 사회적으로 높아졌다. 설계사무소의 영역을 넘어 건설사회의 설계팀에서 기획설계 및 건설현장의 시공검토용으로 BIM이 활용되기 시작하면서 많은 성공사례가 나오기 시작하였다. 그래서 근래 각광 받고 있는 BIM의 견적 활용성에 대하여 알아보고자 기본적인 콘크리트 량과 거푸집 량을 일반 2D 기반의 방식으로 물량을 산출하고, 3차원 캐드를 통해서도 같은 내용의 물량을 산출하여 BIM 견적의 활용성과 그 정확도를 검토하고 문제점들을 분석하여서 BIM의 효율성을 높이는 방법을 연구한다.

• Nuclear Engineering and Technology
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• 제40권5호
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• pp.365-374
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• 2008

Dependability-critical systems, such as digital instrumentation and control systems in nuclear power plants, necessitate engineering techniques and tools to provide assurances of their safety and reliability. Determining system reliability at the architectural design phase is important since it may guide design decisions and provide crucial information for trade-off analysis and estimating system cost. Despite this, reliability and system engineering remain separate disciplines and engineering processes by which the dependability analysis results may not represent the designed system. In this article we provide an overview and application of our approach to build architecture-based, dynamic system models for dependability-critical systems and then automatically generate dynamic fault trees (DFT) for comprehensive, tool-supported reliability analysis. Specifically, we use the Architectural Analysis and Design Language (AADL) to model the structural, behavioral and failure aspects of the system in a composite architecture model. From the AADL model, we seek to derive the DFT(s) and use Galileo's automated reliability analyses to estimate system reliability. This approach alleviates the dependability engineering - systems engineering knowledge expertise gap, integrates the dependability and system engineering design and development processes and enables a more formal, automated and consistent DFT construction. We illustrate this work using an example based on a dynamic digital feed-water control system for a nuclear reactor.

• Journal of Construction Engineering and Project Management
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• 제3권1호
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• pp.1-9
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• 2013

Construction is a competitive industry and successful contractors must be able to win bids to obtain projects. Cash flow analysis not only determines actual profit at the end of the project, but also estimates required cash resources or cash ballances at the end of every month. Cash flow analysis is important in managing a construction project; however, it requires extensive information that is not immediately available to the general contractor. Before contractors can perform cash flow analysis, they must first complete a series of pre-requisites such as the quantity take off, scheduling, and cost estimating, followed by accurate assessments of project costs incurred and billable progress made. Consequently, cash flow analysis is currently a lengthy, uncertain process. This paper suggests improved cash flow analysis can be developed using data extraction in Building Information Modeling (BIM). BIM models contain a wealth of information and tools have been developed to automate a series of process such as quantity takeoff, scheduling, and estimating. This paper describes a prototype tool to support BIM-based, automated cash flow analysis.