Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm
Structural damage identification plays a crucial role in structural health monitoring. In this
study, a novelty method for structural damage identification is developed, which employs an …
study, a novelty method for structural damage identification is developed, which employs an …
Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes
Fragility analysis is widely used in seismic performance assessment of bridges but
uncertainties in seismic demand and bridge modelling affect the accuracy of assessment …
uncertainties in seismic demand and bridge modelling affect the accuracy of assessment …
A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform
A key issue in health monitoring of smart structures is the estimation of modal parameters
such as natural frequencies and damping ratios from acquired dynamic signals. In this …
such as natural frequencies and damping ratios from acquired dynamic signals. In this …
New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform
CA Perez-Ramirez, JP Amezquita-Sanchez… - … Applications of Artificial …, 2016 - Elsevier
Many applications related to modeling, control and condition assessment of smart structures
require an accurate identification of natural frequencies and damping ratios. This …
require an accurate identification of natural frequencies and damping ratios. This …
Vision‐aided three‐dimensional damage quantification and finite element model geometric updating for reinforced concrete structures
This article presents a vision‐aided framework to achieve three‐dimensional (3D) concrete
damage quantification and finite element (FE) model geometric updating for reinforced …
damage quantification and finite element (FE) model geometric updating for reinforced …
Neural network-based seismic response prediction model for building structures using artificial earthquakes
In this paper, a new model for predicting seismic responses of buildings based on the
correlation of ground motion (GM) and the structure is presented by simulating numerous …
correlation of ground motion (GM) and the structure is presented by simulating numerous …
Systemic reliability of bridge networks with mobile sensing‐based model updating for postevent transportation decisions
This paper proposes the upscaling of conventional individual bridge health monitoring
problems into urban regions and transportation networks via mobile and smart sensing …
problems into urban regions and transportation networks via mobile and smart sensing …
Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy
This paper presents a real-time structural health monitoring technique for a supertall
building under construction, Lotte World Tower (LWT), the tallest building in Korea. To …
building under construction, Lotte World Tower (LWT), the tallest building in Korea. To …
The stretching method for vibration‐based structural health monitoring of civil structures
C Tsogka, E Daskalakis… - Computer‐Aided Civil …, 2017 - Wiley Online Library
This article newly proposes the application of the stretching method, that is used in
geophysics for detecting variations in the velocity with which waves propagate in the earth's …
geophysics for detecting variations in the velocity with which waves propagate in the earth's …
Damage detection of building structures under ambient excitation through the analysis of the relationship between the modal participation ratio and story stiffness
This paper presents a new approach for the damage detection of building structures under
ambient excitation based on the inherent modal characteristics. In this study, without the …
ambient excitation based on the inherent modal characteristics. In this study, without the …