Recent progress and future trends on damage identification methods for bridge structures
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …
the‐art review papers regarding progress in this field up to 2011 have been published. This …
Model-informed deep learning strategy with vision measurement for damage identification of truss structures
Structural damage identification approaches can be divided into two categories, ie data-
driven approaches via statistical pattern recognition and model-based approaches via finite …
driven approaches via statistical pattern recognition and model-based approaches via finite …
Time-domain identification of moving load on beam type bridges considering interval uncertainty in finite element model
WY He, YL Li, JX Yi, WX Ren - Mechanical Systems and Signal Processing, 2023 - Elsevier
Accurate identification of moving load is one of the main tasks in the field of bridge health
monitoring. Due to the uncertainty in practical bridge, moving load identified via deterministic …
monitoring. Due to the uncertainty in practical bridge, moving load identified via deterministic …
Model updating using bridge influence lines based on an adaptive metamodel global optimization method
SW Lin, YL Du, TH Yi, DH Yang - Journal of Bridge Engineering, 2022 - ascelibrary.org
Abstract Model updating seeks to update a finite-element model to reduce discrepancies
between predicted and measured data. Metamodel-based model updating using bridge …
between predicted and measured data. Metamodel-based model updating using bridge …
Damage identification of offshore jacket platforms in a digital twin framework considering optimal sensor placement
M Wang, A Incecik, S Feng, MK Gupta… - Reliability Engineering & …, 2023 - Elsevier
A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed to
accurately calculate the modal responses and identify the damage ratios of the offshore …
accurately calculate the modal responses and identify the damage ratios of the offshore …
Probabilistic damage detection using a new likelihood-free Bayesian inference method
Bayesian inference plays a vital role in Structural Health Monitoring (SHM) by assessing
structural integrity through probabilistic model updating using monitoring data. A crucial …
structural integrity through probabilistic model updating using monitoring data. A crucial …
Probabilistic damage detection and identification of coupled structural parameters using Bayesian model updating with added mass
Damage detection inevitably involves uncertainties originated from measurement noise and
modeling error. It may cause incorrect damage detection results if not appropriately treating …
modeling error. It may cause incorrect damage detection results if not appropriately treating …
A two-stage Bayesian algorithm for finite element model updating by using ambient response data from multiple measurement setups
This study presents a two-stage Bayesian finite element model updating procedure by using
acceleration response measurements obtained from multiple setups. In the presented …
acceleration response measurements obtained from multiple setups. In the presented …
[PDF][PDF] A review of modeling and data mining techniques applied for analyzing steel bridges
The vibration response data measured from the structure contains uncertainties and
requires different techniques for its analysis. The present study involves the comprehensive …
requires different techniques for its analysis. The present study involves the comprehensive …
Identification of structural stiffness and mass using Bayesian model updating approach with known added mass: Numerical investigation
The Bayesian model updating approach (BMUA) has been widely used to update structural
parameters using modal measurements because of its powerful ability to handle …
parameters using modal measurements because of its powerful ability to handle …