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Zhenzhou Lu
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Journal Articles

A Decoupling Algorithm for Efficient Estimation of Failure Probability Function Based on Statistical Moment Functions

Hengchao Li, Zhenzhou Lu, Kaixuan Feng
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2024, 146(10): 101706.
Paper No: MD-23-1836
https://doi.org/10.1115/1.4064812
Published Online: March 18, 2024
View Article titled, A Decoupling Algorithm for Efficient Estimation of Failure Probability Function Based on Statistical Moment Functions
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Topics: Algorithms, Failure, Probability, Design
Journal Articles

Reliability Analysis for Structures With Multiple Temporal and Spatial Parameters Based on the Effective First-Crossing Point

Yan Shi, Zhenzhou Lu, Kaichao Zhang, Yuhao Wei
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. December 2017, 139(12): 121403.
Paper No: MD-17-1044
https://doi.org/10.1115/1.4037673
Published Online: October 4, 2017
View Article titled, Reliability Analysis for Structures With Multiple Temporal and Spatial Parameters Based on the Effective First-Crossing Point
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Topics: Event history analysis, Failure, Probability, Reliability, Entropy
Journal Articles

Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

Wei Li, Shishi Chen, Zhen Jiang, Daniel W. Apley, Zhenzhou Lu, Wei Chen
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. March 2016, 1(1): 011004.
Paper No: VVUQ-15-1007
https://doi.org/10.1115/1.4031983
Published Online: February 19, 2016
View Article titled, Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem
Open the PDF for Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem in another window
Topics: Calibration, Machine learning, Uncertainty, Displacement