Smart sensing, monitoring, and damage detection for civil infrastructures
CB Yun, J Min - KSCE Journal of Civil Engineering, 2011 - Springer
In this paper, recent research and application activities on smart sensing, monitoring, and
damage detection for civil infrastructures are briefly introduced. Emphasis is given to the …
damage detection for civil infrastructures are briefly introduced. Emphasis is given to the …
Design of an FIR filter for the displacement reconstruction using measured acceleration in low‐frequency dominant structures
HS Lee, YH Hong, HW Park - International Journal for …, 2010 - Wiley Online Library
This paper presents a new class of displacement reconstruction scheme using only
acceleration measured from a structure. For a given set of acceleration data, the …
acceleration measured from a structure. For a given set of acceleration data, the …
[PDF][PDF] Recent R&D activities on structural health monitoring in Korea
In this paper, recent research trends and activities on structural health monitoring (SHM) of
civil infrastructure in Korea are reviewed. Recently, there has been increasing need for …
civil infrastructure in Korea are reviewed. Recently, there has been increasing need for …
Improved Kalman filter damage detection approach based on lp regularization
J Huang, D Li, C Zhang, H Li - Structural Control and Health …, 2019 - Wiley Online Library
The conventional extended Kalman filter (EKF) for detecting structural damage with
measured responses is a dynamic inverse problem. With the increase in size of the …
measured responses is a dynamic inverse problem. With the increase in size of the …
Structural damage identification by extended Kalman filter with l1‐norm regularization scheme
C Zhang, JZ Huang, GQ Song… - Structural Control and …, 2017 - Wiley Online Library
The extended Kalman filter (EKF) is a powerful tool used to assess structural damage in the
time domain. A method combining EKF and l2‐norm regularization, such as Tikhonov …
time domain. A method combining EKF and l2‐norm regularization, such as Tikhonov …
Identification of vehicle axle loads based on visual measurement
Y Liu, W Wang, L Deng, J Dai… - Measurement Science and …, 2022 - iopscience.iop.org
Monitoring vehicle axle loads is very important for preventing infrastructure degradation and
traffic accidents. However, develo** an accurate, cost-effective, and easy-to-implement …
traffic accidents. However, develo** an accurate, cost-effective, and easy-to-implement …
Full waveform inversion to estimate the material properties of a layered half-space
JH Lee, SH Lee - Soil Dynamics and Earthquake Engineering, 2021 - Elsevier
Estimations of material properties of layered infinite media have been considered in a
variety of problems, including geophysical subsurface imaging, geotechnical site …
variety of problems, including geophysical subsurface imaging, geotechnical site …
Bayesian-network-based system identification of spatial distribution of structural parameters
SH Lee, J Song - Engineering Structures, 2016 - Elsevier
Structural deterioration or damage in civil infrastructures may results in severe losses of
properties and human lives. To prevent such situations, structure health monitoring (SHM) …
properties and human lives. To prevent such situations, structure health monitoring (SHM) …
Extended Kalman filter algorithm for non-roughness and moving damage identification
H Ding, C Zhang, Y Gao, J Huang - Scientific Reports, 2022 - nature.com
It is a promising method to identify structural damage using bridge dynamic response under
moving vehicle excitation, but the lack of accurate information about road roughness and …
moving vehicle excitation, but the lack of accurate information about road roughness and …
Damage identification in bridge structures subject to moving vehicle based on extended Kalman filter with l1-norm regularization
C Zhang, YW Gao, JP Huang, JZ Huang… - Inverse Problems in …, 2020 - Taylor & Francis
An innovative damage detection method for bridge structures under moving vehicular load is
proposed on the basis of extended Kalman filter (EKF) and l 1-norm regularization. An …
proposed on the basis of extended Kalman filter (EKF) and l 1-norm regularization. An …