Application of artificial intelligence to rock mechanics: An overview

来源 :岩石力学与岩土工程学报(英文版) | 被引量 : 0次 | 上传用户:zhaoshi88
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
Different artificial intelligence (AI) methods have been applied to various aspects of rock mechanics, but the fact that none of these methods have been used as a standard implies that doubt as to their generality and validity still exists. For this, a literature review of application of AI to the field of rock mechanics is presented. Comprehensive studies of the researches published in the top journals relative to the fields of rock mechanics, computer applications in engineering, and the textbooks were conducted. The perfor- mances of the AI methods that have been used in rock mechanics applications were evaluated. The literature review shows that AI methods have successfully been used to solve various problems in the rock mechanics field and they performed better than the traditional empirical, mathematical or statis- tical methods. However, their practical applicability is still an issue of concern as many of the existing AI models require some level of expertise before they can be used, because they are not in the form of tractable mathematical equations. Thus some advanced AI methods are still yet to be explored. The limited availability of dataset for the AI simulations is also identified as a major problem. The solutions to the identified problems and the possible future research focus were proposed in the study subsequently.
其他文献
农业生产中合理施用有机肥对实现化肥零增长、提高土壤肥力和保证粮食稳产高产至关重要.本试验在辽宁省沈阳市稻田以'沈农9816'为供试材料,设置7种不同处理,分别为不施氮肥(C
过程机理模型在开发过程中常受限于生理学参数无法直接或准确测量.全局灵敏度分析可以评估模型预测结果对于生理学参数变化的响应,为模型结构改进、数据收集和参数校准提供参