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Case-Based Reasoning for Converting Working Stress Design-Based Bridge Ratings to Load Factor Design-Based Ratings

机译:基于案例的推理将基于工作应力设计的桥梁额定值转换为基于荷载因子设计的额定值

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摘要

In 1995, the Federal Highway Administration (FHWA) required that all bridges, regardless of the design method used for the original design, be based on the load factor design (LFD) method. In order to comply with the FHWA requirements, state departments of transportation have converted to the LFD method for all new bridge ratings. Further, all existing bridges previously rated using the working stress design (WSD) method must be converted to the LFD method. Consequently, thousands of bridges must be rerated using the LFD method. Steel bridges rated by the WSD method have critical data missing to make the proper conversion to the LFD method. This paper presents a methodology and an intelligent decision support system to help bridge engineers convert a WSD-based bridge rating to the LFD-based rating with little human effort using the artificial intelligence approach of case-base reasoning. The proposed methodology can help bridge engineers create the missing LFD-based data efficiently and quickly with a minimum amount of work. This research demonstrates how bridge engineers can use a novel computing paradigm and modern computer tool to convert an antiquated database to current design.
机译:1995年,美国联邦公路管理局(FHWA)要求所有桥梁,无论用于原始设计的设计方法是什么,都必须基于荷载系数设计(LFD)方法。为了符合FHWA的要求,对于所有新的桥梁额定值,州交通运输部门已转换为LFD方法。此外,以前使用工作应力设计(WSD)方法评估的所有现有桥梁都必须转换为LFD方法。因此,必须使用LFD方法重新评估数千个桥梁。通过WSD方法评估的钢桥缺少关键数据,无法正确转换为LFD方法。本文介绍了一种方法和智能决策支持系统,可使用案例推理的人工智能方法,帮助桥梁工程师以较少的人工将基于WSD的桥梁等级转换为基于LFD的等级。所提出的方法可以帮助桥梁工程师以最少的工作量高效,快速地创建丢失的基于LFD的数据。这项研究证明了桥梁工程师如何使用新颖的计算范例和现代计算机工具将过时的数据库转换为当前的设计。

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