Probabilistic calibration for development length models of deformed reinforcing bar
In order to provide a scientific basis for choosing the appropriate development length models, a probabilistic calibration method was developed to comprehensively evaluate the accuracy and applicability of seven typical deterministic development length models for deformed reinforcing bars (rebar) in...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/144100 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-144100 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1441002020-10-13T05:34:55Z Probabilistic calibration for development length models of deformed reinforcing bar Yu, Bo Tang, Ruikai Li, Bing School of Civil and Environmental Engineering Engineering::Civil engineering Deformed Reinforcing Bars Concrete In order to provide a scientific basis for choosing the appropriate development length models, a probabilistic calibration method was developed to comprehensively evaluate the accuracy and applicability of seven typical deterministic development length models for deformed reinforcing bars (rebar) in normal and high-strength concrete. The influences of important factors (including compressive strength of concrete, concrete cover thickness, rebar diameter, tensile stress of reinforcement bar, residual tensile strength of cracked concrete, friction on bearing surface and effective bearing angle) on development length were investigated based on the partly cracked thick-walled cylinder model. Then a probabilistic development length model involving both aleatory and epistemic uncertainties was proposed based on the Bayesian theory and the Markov Chain Monte Carlo (MCMC) method. Meanwhile, key probabilistic characteristics of development length were presented and a probabilistic method was suggested to calibrate available deterministic development length models based on the confidence interval and the confidence level. Finally, the accuracy and applicability of available deterministic development length models under different conditions were calibrated comprehensively. The financial supports received from the National Natural Science Foundation of China (Grant No. 51668008 and Grant No. 51738004) are gratefully acknowledged 2020-10-13T05:34:55Z 2020-10-13T05:34:55Z 2018 Journal Article Yu, B., Tang, R., & Li, B. (2019). Probabilistic calibration for development length models of deformed reinforcing bar. Engineering Structures, 182, 279-289. doi:10.1016/j.engstruct.2018.12.047 0141-0296 https://hdl.handle.net/10356/144100 10.1016/j.engstruct.2018.12.047 182 279 289 en Engineering Structures © 2018 Elsevier Ltd. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Civil engineering Deformed Reinforcing Bars Concrete |
spellingShingle |
Engineering::Civil engineering Deformed Reinforcing Bars Concrete Yu, Bo Tang, Ruikai Li, Bing Probabilistic calibration for development length models of deformed reinforcing bar |
description |
In order to provide a scientific basis for choosing the appropriate development length models, a probabilistic calibration method was developed to comprehensively evaluate the accuracy and applicability of seven typical deterministic development length models for deformed reinforcing bars (rebar) in normal and high-strength concrete. The influences of important factors (including compressive strength of concrete, concrete cover thickness, rebar diameter, tensile stress of reinforcement bar, residual tensile strength of cracked concrete, friction on bearing surface and effective bearing angle) on development length were investigated based on the partly cracked thick-walled cylinder model. Then a probabilistic development length model involving both aleatory and epistemic uncertainties was proposed based on the Bayesian theory and the Markov Chain Monte Carlo (MCMC) method. Meanwhile, key probabilistic characteristics of development length were presented and a probabilistic method was suggested to calibrate available deterministic development length models based on the confidence interval and the confidence level. Finally, the accuracy and applicability of available deterministic development length models under different conditions were calibrated comprehensively. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Yu, Bo Tang, Ruikai Li, Bing |
format |
Article |
author |
Yu, Bo Tang, Ruikai Li, Bing |
author_sort |
Yu, Bo |
title |
Probabilistic calibration for development length models of deformed reinforcing bar |
title_short |
Probabilistic calibration for development length models of deformed reinforcing bar |
title_full |
Probabilistic calibration for development length models of deformed reinforcing bar |
title_fullStr |
Probabilistic calibration for development length models of deformed reinforcing bar |
title_full_unstemmed |
Probabilistic calibration for development length models of deformed reinforcing bar |
title_sort |
probabilistic calibration for development length models of deformed reinforcing bar |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/144100 |
_version_ |
1681057473391230976 |