Quality Management of Earthwork Using Knowledge-based Systems

by Shrinath J. Kotdawala, Kansas State Univ, Manhattan, United States,
Imad A. Basheer, Kansas State Univ, Manhattan, United States,



Document Type: Proceeding Paper

Part of: Computing in Civil Engineering

Abstract:

Earthwork is an integral part of many construction projects. It involves cleaning of the site, loading and spreading of soil, and soil compaction and leveling. Heterogeneous orientation of soil particles and interaction of soil particles with moisture play an important role in behavior of soil under the earthwork equipment. The prediction of soil behavior under earthmovers, rollers, graders and hauling equipments is not simple due to the above-mentioned factors. In this situation behavior of soil can be predicted by experience. The experience of field engineers and rules of thumb can be of great use to optimize earthwork processes. The principles of artificial intelligence (AI) help in writing and translating this knowledge of experts into computer codes. These codes help users in convenient retrieval and decision making for efficient earthwork processes. The rule based system is capable of storing and processing the knowledge of earthwork. This paper describes such an expert system.

Subject Headings: Soil properties | Compacted soils | Earthwork | Artificial intelligence (AI) | Soil water | Soil structures | Expert systems

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