Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach
Reinforced concrete (RC) Structures are frequently subjected to repeated loads, also called cyclic loads, and the resulting cyclic stresses can lead to microscopic physical damage to the materials involved. Even at stresses well below a given material's ultimate strength, this damage can accumu...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/5505 |
| _version_ | 1811684476076425216 |
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| author | Yuen, Kok Chin. |
| author2 | Khong, Poh Wah |
| author_facet | Khong, Poh Wah Yuen, Kok Chin. |
| author_sort | Yuen, Kok Chin. |
| collection | NTU |
| description | Reinforced concrete (RC) Structures are frequently subjected to repeated loads, also called cyclic loads, and the resulting cyclic stresses can lead to microscopic physical damage to the materials involved. Even at stresses well below a given material's ultimate strength, this damage can accumulate with continued cycling until it develops into a crack that leads to brittle fracture failure of the structure. Brittle fracture does not have any telltale sign such as yielding of material before failure, which is extremely dangerous, if it is not well taken care. |
| first_indexed | 2024-10-01T04:29:14Z |
| format | Thesis |
| id | ntu-10356/5505 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:29:14Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/55052023-03-11T17:27:28Z Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach Yuen, Kok Chin. Khong, Poh Wah School of Mechanical and Production Engineering DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics Reinforced concrete (RC) Structures are frequently subjected to repeated loads, also called cyclic loads, and the resulting cyclic stresses can lead to microscopic physical damage to the materials involved. Even at stresses well below a given material's ultimate strength, this damage can accumulate with continued cycling until it develops into a crack that leads to brittle fracture failure of the structure. Brittle fracture does not have any telltale sign such as yielding of material before failure, which is extremely dangerous, if it is not well taken care. Master of Engineering (MPE) 2008-09-17T10:52:17Z 2008-09-17T10:52:17Z 2000 2000 Thesis http://hdl.handle.net/10356/5505 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics Yuen, Kok Chin. Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach |
| title | Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach |
| title_full | Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach |
| title_fullStr | Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach |
| title_full_unstemmed | Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach |
| title_short | Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach |
| title_sort | influence of geometry to the fatigue characteristic of reinforcing bar the neural network approach |
| topic | DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics |
| url | http://hdl.handle.net/10356/5505 |
| work_keys_str_mv | AT yuenkokchin influenceofgeometrytothefatiguecharacteristicofreinforcingbartheneuralnetworkapproach |