- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Studies on the Prediction of Rock Failure by Counting Subaudible Noise of Rock
-
- SUZUKI Toshio
- 資源技術試験所第6部
-
- SASAKI Kazuro
- 資源技術試験所第6部第1課
-
- HIROTA Toyohiko
- 資源技術試験所第6部第1課
-
- SHIOHARA Zen-ichi
- 資源技術試験所第6部第1課
Bibliographic Information
- Other Title
-
- 岩石破壊音による崩落予知に関する研究
- ガンセキ ハカイオン ニ ヨル ホウラク ヨチ ニ カンスル ケンキュウ
Search this article
Description
Generally, any displacement or disturbance in the rock creates an impulse or rock noise and the count of this rock noise increase according to the increase of the stress of rock. Consequently, if the rock noise were measured continuously, the rock failure would be predicted. This is the basic principle of this method of predicting rock failure. This principle was found about 20 years ago, but this prediction method have not been applied in the field, yet.<BR>In the beginning, we studied at the laboratory with several kinds of rock specimen on the following items: 1. wave form of the rock noise<BR>2. frequency spectrum of rock noise<BR>3. relation betweeen rock noise rate and stress, then, we measured rock noise in the underground of some metal mines and the rate of occurrence of rock noise in the field were analysed.<BR>Through these studies at laboratory and field, it was supposed that the rock failure would be predicted by counting the rock noise and an rock noise counter was developed.
Journal
-
- Journal of the Mining and Metallurgical Institute of Japan
-
Journal of the Mining and Metallurgical Institute of Japan 78 (891), 649-656, 1962
The Mining and Materials Processing Institute of Japan
- Tweet
Details 詳細情報について
-
- CRID
- 1390282680958810240
-
- NII Article ID
- 130007256032
- 40018293055
- 10002932126
-
- NII Book ID
- AN00188932
-
- ISSN
- 21856729
- 03694194
-
- NDL BIB ID
- 9158392
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed