4.7 Article

Damage location, quantification and characterization of steel-concrete composite beams using acoustic emission

Related references

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

A novel acoustic emission source location method for crack monitoring of orthotropic steel plates

Dan Li et al.

Summary: In this study, a novel method for crack monitoring of orthotropic steel plates based on empirical wavelet transform and long short-term memory neural network was developed. Experimental comparisons demonstrated the feasibility and superiority of the proposed method in terms of crack location accuracy.

ENGINEERING STRUCTURES (2022)

Article Engineering, Mechanical

Developing a heterogeneous ensemble learning framework to evaluate Alkali-silica reaction damage in concrete using acoustic emission signals

Li Ai et al.

Summary: This paper develops an automatic ASR monitoring and evaluation approach by leveraging acoustic emission (AE) and a heterogeneous ensemble learning framework. Experimental results show that the proposed method can accurately classify AE signals into different ASR phases.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)

Article Engineering, Multidisciplinary

Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network

Dan Li et al.

Summary: This study focuses on the classification of acoustic emission waves using synchrosqueezed wavelet transform and multi-branch convolutional neural network to accurately identify different acoustic emission mechanisms, including surface and internal rail cracks.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)

Article Construction & Building Technology

Analyzing acoustic emission data to identify cracking modes in cement paste using an artificial neural network

V Soltangharaei et al.

Summary: This research focuses on identifying cracking mechanisms for cement paste by analyzing acoustic emission data from compression and notched four-point bending tests. Methods such as agglomerative hierarchical clustering, artificial neural networks, and ray-tracing algorithms are used to cluster, train, and locate the data, leading to the successful identification of potential cracking mechanisms.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Review Engineering, Civil

Interfacial imperfection detection for steel-concrete composite structures using NDT techniques: A state-of-the-art review

Hongbing Chen et al.

Summary: Steel-concrete composite structures (SCCSs) are widely used as load-bearing members, but interfacial imperfections can occur due to various factors, leading to deterioration in performance and durability. Developing effective nondestructive testing (NDT) methods is crucial for ensuring structural safety. Current research focuses on detecting interfacial imperfections in SCCSs using NDT techniques, with discussions on principles, mechanisms, and applications of different detection methods.

ENGINEERING STRUCTURES (2021)

Article Engineering, Multidisciplinary

An acoustic-homologous transfer learning approach for acoustic emission-based rail condition evaluation

Si-Xin Chen et al.

Summary: This article introduces a novel transfer learning approach for evaluating rail structural conditions progressively, utilizing acoustic emission monitoring data and knowledge transferred from an acoustic-related database. The results demonstrate that the proposed method successfully predicts the evolving stages of rail conditions with high accuracy and computational efficiency. Additionally, the study suggests the importance of selecting appropriate source data in maximizing the benefits of transfer learning in the structural health monitoring field.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)

Article Engineering, Multidisciplinary

Detection of impact on aircraft composite structure using machine learning techniques

Li Ai et al.

Summary: This study utilized acoustic emission (AE) technology to monitor impact damage on aircraft structures, training source location models using random forest and deep learning approaches, resulting in better event localization performance. The analysis showed that by removing unimportant features, the random forest model can significantly reduce storage requirements and computing time while maintaining acceptable localization performance.

MEASUREMENT SCIENCE AND TECHNOLOGY (2021)

Article Engineering, Multidisciplinary

The characterization of deformation stage of metals using acoustic emission combined with nonlinear ultrasonics

Jennifer Vetrone et al.

Summary: This study introduces a new acoustic emission characteristic to determine the deformation stage of metals under quasi-static loading, utilizing the derivative of cumulative AE energy with respect to time. Nonlinear ultrasonics is used to quantify plastic deformation in metallic structures, showing higher sensitivity of third harmonic nonlinearity coefficient to plastic deformation. Microstructural changes affecting ultrasonics are identified with metallographic characterizations.

MEASUREMENT (2021)

Article Engineering, Civil

Flexural responses of steel-UHPC composite beams under hogging moment

Yang Zhang et al.

ENGINEERING STRUCTURES (2020)

Article Engineering, Electrical & Electronic

An Effective Chatter Detection Method in Milling Process Using Morphological Empirical Wavelet Transform

Qi Zhang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Mechanics

Monitoring fatigue cracks on eyebars of steel bridges using acoustic emission: A case study

Wael A. Megid et al.

ENGINEERING FRACTURE MECHANICS (2019)

Article Construction & Building Technology

Machine learning based crack mode classification from unlabeled acoustic emission waveform features

Avik Kumar Das et al.

CEMENT AND CONCRETE RESEARCH (2019)

Article Construction & Building Technology

Fracture Mechanism and Damage Evaluation of FRP/Steel-Concrete Hybrid Girder Using Acoustic Emission Technique

Fangzhu Du et al.

JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2019)

Article Engineering, Multidisciplinary

Damage characterization in composite materials using acoustic emission signal-based and parameter-based data

Claudia Barile et al.

COMPOSITES PART B-ENGINEERING (2019)

Article Construction & Building Technology

Operational modal identification of structures based on improved empirical wavelet transform

Yu Xin et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2019)

Article Construction & Building Technology

Compressive behaviour of normal weight concrete confined by the steel face plates in SCS sandwich wall

Jia-Bao Yan et al.

CONSTRUCTION AND BUILDING MATERIALS (2018)

Article Engineering, Mechanical

Acoustic emission energy b-value for local damage evaluation in reinforced concrete structures subjected to seismic loadings

Francisco Sagasta et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Chemistry, Multidisciplinary

Failure Monitoring and Condition Assessment of Steel-Concrete Adhesive Connection Using Ultrasonic Waves

Magdalena Rucka

APPLIED SCIENCES-BASEL (2018)

Article Engineering, Civil

Mechanical Behavior of Prefabricated Composite Box Girders with Corrugated Steel Webs under Static Loads

Boshan Zhang et al.

JOURNAL OF BRIDGE ENGINEERING (2018)

Article Engineering, Civil

Performance of Composite Twin I-Girder Bridges with Fatigue-Induced Cracks

Heang Lam et al.

JOURNAL OF BRIDGE ENGINEERING (2017)

Article Construction & Building Technology

Crack propagation speed in ultra high performance concrete (UHPC)

Sukhoon Pyo et al.

CONSTRUCTION AND BUILDING MATERIALS (2016)

Article Engineering, Mechanical

Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing

Wahyu Caesarendra et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)

Article Engineering, Civil

Uplift-Restricted and Slip-Permitted T-Shape Connectors

Jian-Guo Nie et al.

JOURNAL OF BRIDGE ENGINEERING (2015)

Article Instruments & Instrumentation

Bayesian decision and mixture models for AE monitoring of steel-concrete composite shear walls

Alireza Farhidzadeh et al.

SMART MATERIALS AND STRUCTURES (2015)

Article Instruments & Instrumentation

Bond slip detection of steel plate and concrete beams using smart aggregates

Feng Qin et al.

SMART MATERIALS AND STRUCTURES (2015)

Article Construction & Building Technology

Fracture process zone in notched concrete beam under three-point bending by acoustic emission

Kentaro Ohno et al.

CONSTRUCTION AND BUILDING MATERIALS (2014)

Article Construction & Building Technology

Effect of CFRP-spacing on fracture mechanism of CFRP-strengthened reinforced concrete beam identified by AE-SiGMA

Ninel Alver et al.

CONSTRUCTION AND BUILDING MATERIALS (2014)

Article Construction & Building Technology

Monitoring of the mechanical behavior of concrete with chemically treated steel fibers by acoustic emission

D. G. Aggelis et al.

CONSTRUCTION AND BUILDING MATERIALS (2013)

Article Engineering, Electrical & Electronic

Empirical Wavelet Transform

Jerome Gilles

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2013)

Article Construction & Building Technology

Experimental Investigation on Inelastic Behavior of Composite Box Girder under Negative Moment

Qing-Tian Su et al.

INTERNATIONAL JOURNAL OF STEEL STRUCTURES (2012)

Review Computer Science, Artificial Intelligence

Algorithms for hierarchical clustering: an overview

Fionn Murtagh et al.

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2012)

Article Mechanics

Classification of cracking mode in concrete by acoustic emission parameters

Dimitrios G. Aggelis

MECHANICS RESEARCH COMMUNICATIONS (2011)

Article Construction & Building Technology

Crack classification in concrete based on acoustic emission

Kentaro Ohno et al.

CONSTRUCTION AND BUILDING MATERIALS (2010)

Review Engineering, Civil

Acoustic emission monitoring of bridges: Review and case studies

Archana Nair et al.

ENGINEERING STRUCTURES (2010)

Article Construction & Building Technology

Evaluation of Shear Crack Width in I-Shaped Prestressed Reinforced Concrete Beams

Sudhira De Silva et al.

JOURNAL OF ADVANCED CONCRETE TECHNOLOGY (2008)

Article Construction & Building Technology

Acoustic emission moment tensor analysis: development for crack identification in concrete materials

M Shigeishi et al.

CONSTRUCTION AND BUILDING MATERIALS (2001)