THE LOADING RATE DEPENDENCY OF SAND CUSHION FOCUSED ON STRESS WAVE VELOCITY USING DEM
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- NAITO Naoto
- 名古屋工業大学大学院 工学研究科
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- MAEDA Kenichi
- 名古屋工業大学 都市社会工学科
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- KONNO Hisashi
- 土木研究所寒地土木研究所 寒地構造チーム
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- USHIWATARI Yuji
- 構研エンジニアリング 防災施設部
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- SUZUKI Kentaro
- 構研エンジニアリング 防災施設部
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- KAWASE Ryoji
- 構研エンジニアリング
Bibliographic Information
- Other Title
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- 応力伝播速度に着目した敷砂緩衝材の載荷速度依存性に関するDEM解析
Abstract
Cushioning materials, such as sand cushion and granular mats placed on rock sheds, can effectively disperse and reduce rock fall energy before rocks collide with protection works. Although the construction costs for sedimentary layers are low, these layers are attracting attention as construction devices that can substantially improve the margin of safety ratio. To elucidate the formation mechanism that governs the impact force waveform of falling mass, this study examines the loading rate dependency of sand cushion by 2D-DEM simulation. In the simulation, particular attention is paid to the velocity of stress waves that propagate in sand cushion. The results are summarized as follows: (1) The impact force of falling mass depends only on loading velocity and penetration depth, not on loading history. (2) The larger the loading velocity, the smaller the area wherein volume strain is borne only by the loaded surface, rather than shared by the penetration of falling mass. This imbalance in support explains the loading rate dependency of sand cushion. (3) The relationships between the compressive strain of a particle group and mean principal stress are determined over dynamic and static loading. These relationships are almost the same between the loadings. (4) Using σ=ρcv to estimate the impact force waveform of falling mass produces large-scale experimental and 2D-DEM simulation results.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM))
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Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)) 71 (2), I_557-I_566, 2015
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390282680327264384
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- NII Article ID
- 130005128823
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- ISSN
- 21854661
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed