ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, volume 4, issue 1

Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis

Publication typeJournal Article
Publication date2018-01-16
Building and Construction
Civil and Structural Engineering
Safety, Risk, Reliability and Quality
Abstract
AbstractThis study investigates the use of big data analytics in uncertainty quantification and applies the proposed framework to structural diagnosis and prognosis. With smart sensor technology ma...

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American Society of Civil Engineers (ASCE)
4 publications, 33.33%
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1 publication, 8.33%
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Cai G., Mahadevan S. Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis // ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2018. Vol. 4. No. 1.
GOST all authors (up to 50) Copy
Cai G., Mahadevan S. Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis // ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2018. Vol. 4. No. 1.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1061/AJRUA6.0000949
UR - https://doi.org/10.1061/AJRUA6.0000949
TI - Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis
T2 - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
AU - Cai, Guowei
AU - Mahadevan, Sankaran
PY - 2018
DA - 2018/01/16
PB - American Society of Civil Engineers (ASCE)
IS - 1
VL - 4
SN - 2376-7642
ER -
BibTex
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BibTex Copy
@article{2018_Cai,
author = {Guowei Cai and Sankaran Mahadevan},
title = {Big Data Analytics in Uncertainty Quantification: Application to Structural Diagnosis and Prognosis},
journal = {ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering},
year = {2018},
volume = {4},
publisher = {American Society of Civil Engineers (ASCE)},
month = {jan},
url = {https://doi.org/10.1061/AJRUA6.0000949},
number = {1},
doi = {10.1061/AJRUA6.0000949}
}
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