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- アブドゥラカシム ワンラット
- 農業機械学会 筑波大学大学院生命環境科学研究科
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- 小池 正之
- 農業機械学会 筑波大学大学院生命環境科学研究科
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- 瀧川 具弘
- 農業機械学会 筑波大学大学院生命環境科学研究科
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- 長谷川 英夫
- 農業機械学会 筑波大学大学院生命環境科学研究科
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- 余田 章
- 農業機械学会 筑波大学大学院生命環境科学研究科
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- バハラヨーディン バンチョー
- タイ王国カセサート大学工学部
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- ウサボリスット プラティアン
- タイ王国カセサート大学工学部
書誌事項
- タイトル別名
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- Neural Network Modeling and Sensitivity Analysis of the Bulk Density Response in Sandy Loam Soil under Vehicle-Induced Stresses
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This study attempted to develop a method to predict the degree of soil compactness in terms of bulk density, which varies as soil is subjected to vehicular loads. In situ experiments were carried out by measuring the stresses in soil underneath operating tractors using stress state transducers. The soil at the test site was sampled and investigated in terms of its pertinent properties. A neural network model was then developed to memorize the functional relationships that govern the changes in bulk density as a function of soil properties and stress parameters. The results demonstrated that the model could predict bulk density by a root mean squared error of 4.28% with a correlation coefficient of 0.838. Furthermore, the sensitivity analysis was performed to prioritize the significance of each input parameter presented to the network by adopting a method called the Relative Strength of Effect (RSE). The results indicated that both normal and shear stresses were the dominant factors influencing soil compaction. Besides, susceptibility to compaction was found to be dependent mainly on the initial bulk density and the moisture content of soil.
収録刊行物
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- 農業機械学会誌
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農業機械学会誌 67 (2), 77-85, 2005
農業食料工学会
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詳細情報 詳細情報について
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- CRID
- 1390282679290051328
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- NII論文ID
- 10014473620
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- NII書誌ID
- AN00200470
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- ISSN
- 18846025
- 02852543
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- NDL書誌ID
- 7270327
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可