4.7 Article

Artificial intelligence-based damage localization method for building structures using correlation of measured structural responses

Related references

Note: Only part of the references are listed.
Article Engineering, Civil

Bayesian model updating of a twin-tower masonry structure through subset simulation optimization using ambient vibration data

Pei Liu et al.

Summary: A Bayesian model updating method utilizing ambient vibration data to improve efficiency and avoid local optimums is proposed. The method employs Bayesian fast Fourier transform to extract modal parameters for weighting factors, and uses a subset simulation optimization algorithm to find global optimal solutions. Validation on numerical and real-world structures shows improved accuracy in parameter estimations, demonstrating the effectiveness of the proposed method.

JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING (2021)

Article Engineering, Mechanical

Fundamental Mode Shape-Based Structural Damage Quantification Using Spectral Element Method

Purushottam Kumar Chaudhary et al.

Summary: Vibration-based damage detection techniques focus on changes in modal properties as a result of structural damage. This study utilizes the spectral element method to derive mode shapes in the frequency domain, evaluating damage severity. Mathematical correlation is established to measure the quantity of damage, and both numerical and experimental analyses validate the effectiveness of the approach in structural damage quantification.

JOURNAL OF ENGINEERING MECHANICS (2021)

Article Construction & Building Technology

Damage-sensitive feature extraction with stacked autoencoders for unsupervised damage detection

Moises Felipe Silva et al.

Summary: The paper presents an intelligent two-level feature extraction approach that compresses modal parameters into a small set of highly informative features by using stacked autoencoders on pre-processed vibration data. This improves the performance of traditional damage detection classifiers significantly when considering information entropy metrics, as demonstrated on the well-known monitoring data sets from the Z-24 Bridge.

STRUCTURAL CONTROL & HEALTH MONITORING (2021)

Article Construction & Building Technology

A data-driven framework for near real-time and robust damage diagnosis of building structures

Seyed Omid Sajedi et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2020)

Article Environmental Sciences

Influence of global warming on the rapid intensification of western North Pacific tropical cyclones

Nam-Young Kang et al.

ENVIRONMENTAL RESEARCH LETTERS (2019)

Article Engineering, Multidisciplinary

Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data

Andy Nguyen et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Engineering, Multidisciplinary

Development and application of a deep learning-based sparse autoencoder framework for structural damage identification

Chathurdara Sri Nadith Pathirage et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Engineering, Multidisciplinary

A novel deep learning-based method for damage identification of smart building structures

Yang Yu et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Construction & Building Technology

Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy

Hyo Seon Park et al.

AUTOMATION IN CONSTRUCTION (2018)

Article Computer Science, Artificial Intelligence

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

Osama Abdeljaber et al.

NEUROCOMPUTING (2018)

Article Automation & Control Systems

Structural health monitoring of a footbridge using Echo State Networks and NARMAX

Adam J. Wootton et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Article Automation & Control Systems

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

Carlos A. Perez-Ramirez et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)

Article Engineering, Electrical & Electronic

Sensor-Free Stress Estimation Model for Steel Beam Structures Using a Motion Capture System

Jun Su Park et al.

IEEE SENSORS JOURNAL (2016)

Article Geosciences, Multidisciplinary

Intensification of landfalling typhoons over the northwest Pacific since the late 1970s

Wei Mei et al.

NATURE GEOSCIENCE (2016)

Article Automation & Control Systems

Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis

Rong-Song He et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2007)

Article Engineering, Mechanical

Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data

EA Johnson et al.

JOURNAL OF ENGINEERING MECHANICS (2004)