Development of a Knowledge-Based Expert System for Geotech- nical Site Characterization

开发基于知识的岩土场地特征专家系统

• 批准号: 8419368
• 负责人: Paul Christiano
• 金额: $ 7.45万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1985
• 资助国家: 美国
• 起止时间: 1985-12-15 至 1987-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8419368&HistoricalAwards=false
• 关键词: Development; Knowledge; Based; Expert; System

This research develops fundamental approaches for a knowledge-based expert system to characterize a site based on geotechnical factors. The approach is new for geotechnical research and will provide a new insight to improve the state-of-the-art of understanding of the expert systems approach to geomechanics. The primary goal of this research is to formalize the expertise used by the geotechnical community for characterizing a site and to demonstrate the automatic processing of this expertise. This research will collect extensive geotechnical data to establish the range of techniques and viewpoints that currently prevail in the geotechnical community and will incorporate the expertise acquired from these experts into a knowledge-based expert system. The demonstration of the system will be carried out by providing graphical interfaces for a three-dimensional subsurface model.

这项研究为基于知识的 专家系统来描述一个网站的基础上岩土工程因素。 该方法是新的岩土工程研究，并将提供一个新的 洞察力，以提高对专家的最新理解 地质力学的系统方法。 这项研究的主要目的是 将岩土工程界使用的专业知识正式化， 描述一个站点的特征，并演示自动处理 这种专业知识。 这项研究将收集广泛的岩土工程数据 建立目前的一系列技术和观点 在岩土工程界盛行，并将纳入 将从这些专家那里获得的专业知识转化为知识型专家 系统 该系统的演示将由 为三维地下提供图形界面 模型