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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Bibliographic Details
Main Author:	Yuen, Kok Chin.
Other Authors:	Khong, Poh Wah
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
Online Access:	http://hdl.handle.net/10356/5505
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-5505
record_format	dspace
spelling	sg-ntu-dr.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
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
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
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.
author2	Khong, Poh Wah
author_facet	Khong, Poh Wah Yuen, Kok Chin.
format	Theses and Dissertations
author	Yuen, Kok Chin.
author_sort	Yuen, Kok Chin.
title	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_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_sort	influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach
publishDate	2008
url	http://hdl.handle.net/10356/5505
_version_	1761781459417300992

Influence of geometry to the fatigue characteristic of reinforcing bar : the neural network approach

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