Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data-Reference-Cited by-同舟云学术

Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data

Published:2004-10 Issue:10 Volume:130 Page:1233-1244
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Ching J.¹,Beck J. L.²

Affiliation:

1. George W. Housner Research Fellow, Dept. of Civil Engineering, Mail Code 104-44, California Institute of Technology, Pasadena, CA 91125 (Corresponding author). E-mail: jyching@caltech.edu

2. Professor, Dept. of Applied Mechanics and Civil Engineering, Mail Code 104-44, California Institute of Technology, Pasadena, CA 91125. E-mail: jimbeck@caltech.edu

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9399%282004%29130%3A10%281233%29

Reference26 articles.

1. Beck J.L. ( 1978). “Determining models of structures from earthquake records.” Technical Rep. EERL 78-01 Earthquake Engineering Research Laboratory California Institute of Technology Pasadena Calif. 〈http://caltecheerl.library.caltech.edu/archive/00000183/〉

2. Beck J.L. ( 1996). “System identification methods applied to measured seismic response.” Proc. 11th World Conf. Earthquake Engineering Acapulco Mexico.

3. Monitoring Structural Health Using a Probabilistic Measure

4. Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

5. Beck J.L. May B.S. and Polidori D.C. ( 1994). “Determination of modal parameters from ambient vibration data for structural health monitoring.” Proc. Ist World Conf. on Structural Control Pasadena Calif. TA3:3–TA3:12.

Cited by 93 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification;Structural Health Monitoring;2024-07-27

2. A comprehensive review on health monitoring of joints in steel structures;Smart Materials and Structures;2024-06-19

3. Damage evaluation of column bases in steel moment-resisting frames based on fishbone model and Bayesian model updating;Soil Dynamics and Earthquake Engineering;2024-01

4. Research on the Identification of Bridge Structural Damage Using Variational Mode Decomposition and Convolutional Self-Attention Neural Networks;Applied Sciences;2023-11-06

5. Neighborhood component analysis to leverage the class label information during feature selection to enhance the damage classification performance;Structures;2023-11