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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Zhu, Zhehao |
Influence of Fine Particles on the Liquefaction Properties of a Reference Sand |
I12608 |
2023 |
eBook |
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| 2 |
Bhatawdekar, Ramesh M |
Environmental Issues of Blasting |
I11955 |
2021 |
eBook |
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| Title | Influence of Fine Particles on the Liquefaction Properties of a Reference Sand : Application to the Seismic Response of a Sand Column on a Vibrating Table |
| Author(s) | Zhu, Zhehao |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2023. |
| Description | XXI, 192 p. 165 illus., 148 illus. in color : online resource |
| Abstract Note | Over the past thirty years, the liquefaction of sand containing a small amount of fine particles has become an engaging topic in the geotechnical community. Indeed, a great variety of field investigations revealed that the real liquefied soils are mainly composed of a host sand matrix and a small fraction of plastic or non-plastic fines. In this context, several series of monotonic and cyclic triaxial tests were performed to clarify the influence of these fine particles on the development of sand liquefaction. To get closer to in situ conditions, 1g shaking table tests were carried out with two different-sized model soil containers. The first one, small size, was essentially used to check the reconstitution and the saturation method. The second one, very large size, was manufactured to explore the sand liquefaction behaviour during base shaking in an almost actual engineering size. To numerically reproduce the sand liquefaction behaviour, the Dafalias model has been taken as an exampleand its input parameters were calibrated by an artificial intelligence method. An in-depth analysis of the proposed method was done with the elastoplastic theory |
| ISBN,Price | 9783031242991 |
| Keyword(s) | 1. EBOOK - SPRINGER
2. Engineering geology
3. Geoengineering
4. GEOPHYSICS
5. Geotechnical engineering
6. Geotechnical Engineering and Applied Earth Sciences
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| Item Type | eBook |
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Call# | Status | Issued To | Return Due On | Physical Location |
| I12608 |
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| Title | Environmental Issues of Blasting : Applications of Artificial Intelligence Techniques |
| Author(s) | Bhatawdekar, Ramesh M;Armaghani, Danial Jahed;Azizi, Aydin |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | IX, 77 p. 9 illus., 8 illus. in color : online resource |
| Abstract Note | This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards |
| ISBN,Price | 9789811682377 |
| Keyword(s) | 1. Computational Intelligence
2. EBOOK
3. EBOOK - SPRINGER
4. Engineering geology
5. ENVIRONMENTAL MANAGEMENT
6. Geoengineering
7. GEOPHYSICS
8. Geotechnical engineering
9. Geotechnical Engineering and Applied Earth Sciences
10. MACHINE LEARNING
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| Item Type | eBook |
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11955 |
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On Shelf |
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