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Artificial Intelligence for Developing Accurate Preliminary Cost Estimates for Composite Flooring Systems of Multi-Storey Buildings
Journal of Asian Architecture and Building Engineering ( IF 1.5 ) Pub Date : 2021-04-16 , DOI: 10.1080/13467581.2020.1838288
Hosam Elhegazy 1 , Ahmed M. Ebid 1 , Ibrahim M. Mahdi 1 , Said Y. Aboul Haggag 2 , Ibrahim Abdel Rashid 2
Affiliation  

ABSTRACT

In a decision-making study, design alternatives are compared with respect to cost, performance, and reliability, and the best is selected. Often, due to the time constraints imposed by the design schedule and budget restrictions, the number of design alternatives considered is limited. This research focuses on composite flooring systems for multistory buildings and the application of value techniques to the construction industry. The study uses data that obtained from the RSMeans Assemblies Books for the period 1997–2019. The data obtained from RSMeans consists of assembly cost ($/sf of floor) as the dependent variable; and the structural span (ft.), superimposed load (p.s.f), unit cost of sheet metal ($/LF of sheet), unit cost of concrete ($/CY), unit cost of steel structural ($/ton), and total load (p.s.f) as the independent variables. A simple computer model is designed for recommending the optimal composite flooring system of a multistory building, during the preliminary design stage. The value engineering (VE) team to achieve the VE goals mentioned above can use the model.



中文翻译:

人工智能为多层建筑的复合地板系统开发准确的初步成本估算

摘要

在决策研究中,设计备选方案会在成本、性能和可靠性方面进行比较,并选择最佳方案。通常,由于设计进度和预算限制所施加的时间限制,所考虑的设计备选方案的数量是有限的。这项研究的重点是多层建筑的复合地板系统以及价值技术在建筑行业的应用。该研究使用了从 RSMeans 汇编手册中获得的 1997-2019 年期间的数据。从 RSMeans 获得的数据包括组装成本($/sf of floor)作为因变量;以及结构跨度 (ft.)、叠加荷载 (psf)、钣金的单位成本 ($/LF of sheet)、混凝土的单位成本 ($/CY)、钢结构的单位成本 ($/ton),以及总负载 (psf) 作为自变量。在初步设计阶段,设计了一个简单的计算机模型,用于推荐多层建筑的最佳复合地板系统。实现上述 VE 目标的价值工程(VE)团队可以使用该模型。

更新日期:2021-04-16
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