Expert Systems for Earthquake-Resistant Design of Buildings

建筑物抗震设计专家系统

• 批准号: 8722225
• 负责人: Hasan Kamil
• 金额: $ 19.82万
• 依托单位: Structural Analysis Technologies Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-04-15 至 1991-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8722225&HistoricalAwards=false
• 关键词: Expert; Systems; Earthquake; Resistant; Design

The research consists of the development of an integrated expert system for earthquake-resistant design of building structures, that is capable of providing consultation and decision support for the different phases of the earthquake-resistant design process for buildings. The design of structures for earthquake loads requires specialized knowledge in several inter-related disciplines, which is usually not available at a design office on a routine basis. This expert system will be able to mimic the reasoning process and the decision-making actions of these experts. In the Phase I study, a conceptual architecture and the basic framework for such an expert system was developed. The feasibility of the architecture and the framework was demonstrated by building two prototype modules of the expert system. In this research, based on the architecture so developed, the knowledge, procedures, and judgments/heuristics for different steps in the earthquake-resistant design process are integrated into functioning Knowledge-Based Expert Systems (KBES's). In addition, design and development of the supporting modules and facilities, e.g., interactive user interfaces, design and implementation of local data bases, and a flexible "blackboard" support facility are included. This research represents Phase II of the Small Business Innovation Research Program.

研究内容包括开发建筑结构抗震设计综合专家系统，能够为建筑抗震设计过程的不同阶段提供咨询和决策支持。 地震荷载结构的设计需要多个相关学科的专业知识，而设计办公室通常无法提供这些知识。 这个专家系统将能够模仿这些专家的推理过程和决策行为。 在第一阶段的研究中，开发了此类专家系统的概念架构和基本框架。 通过构建专家系统的两个原型模块验证了该体系结构和框架的可行性。 在这项研究中，基于如此开发的体系结构，抗震设计过程中不同步骤的知识、程序和判断/启发法被集成到功能性的基于知识的专家系统（KBES）中。 此外，还包括支持模块和设施的设计和开发，例如交互式用户界面、本地数据库的设计和实现以及灵活的“黑板”支持设施。 这项研究代表了小型企业创新研究计划的第二阶段。