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 type: Journal Article
Publication date: 2018-01-16
Journal:
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Q2
Q2
SJR: 0.622
CiteScore: 5.3
Impact factor: 2.3
ISSN: 23767642
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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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.
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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.
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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 -
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@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}
}