| |
| |
Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Azizi, Aydin |
Applied Complex Flow |
I12595 |
2023 |
eBook |
|
| 2 |
Bhatawdekar, Ramesh M |
Environmental Issues of Blasting |
I11955 |
2021 |
eBook |
|
|
|
1.
  |
 |
| Title | Applied Complex Flow : Applications of Complex Flows and CFD |
| Author(s) | Azizi, Aydin |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | VII, 192 p. 63 illus., 58 illus. in color : online resource |
| Abstract Note | This book presents improved numerical techniques and applied computer-aided simulations as a part of emerging trends in mechatronics in all areas related to complex fluids, with particular focus on using a combination of modeling, theory, and simulation to study systems that are complex due to the rheology of fluids (i.e., ceramic pastes, polymer solutions and melts, colloidal suspensions, emulsions, foams, micro-/nanofluids, etc.) and multiphysics phenomena in which the interactions of various effects (thermal, chemical, electric, magnetic, or mechanical) lead to complex dynamics. The areas of applications span materials processing, manufacturing, and biology |
| ISBN,Price | 9789811977466 |
| Keyword(s) | 1. DETECTORS
2. EBOOK - SPRINGER
3. Engineering Fluid Dynamics
4. FLUID MECHANICS
5. MATERIALS
6. MATHEMATICAL PHYSICS
7. Mechatronics
8. Microfluidics
9. Sensors and biosensors
10. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12595 |
|
|
On Shelf |
|
|
|
|
2.
 | |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11955 |
|
|
On Shelf |
|
|
|
| |