☆ 4.7 Article

A percussion method with attention mechanism and feature aggregation for detecting internal cavities in timber

NDT & E INTERNATIONAL (2024)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Multidisciplinary

A CNN-integrated percussion method for detection of FRP-concrete interfacial damage with FEM reconstruction

Qingzhao Kong et al.

Summary: This study addresses the detection of FRP-concrete interface damage using a fusion of percussion method and deep learning framework. It also provides visualization study and finite element modeling for further understanding the mechanical degradation caused by the fracture of underlying concrete. The results demonstrate the considerable application potential of this approach.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2023)

添加到收藏夹

Article Engineering, Multidisciplinary

An innovative deep neural network-based approach for internal cavity detection of timber columns using percussion sound

Lin Chen et al.

Summary: Timber structures have been a dominant form of construction historically, but are susceptible to termite damages causing internal cavities. This study proposes a deep neural network-based approach using percussion sound for internal cavity detection in timber columns, showing high accuracy and generality across different conditions, suggesting great potential for field applications.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Res2Net: A New Multi-Scale Backbone Architecture

Shang-Hua Gao et al.

Summary: This paper introduces a novel building block for CNNs, Res2Net, which represents multiscale features within one single residual block by constructing hierarchical residual-like connections. The Res2Net enhances the representation of multiscale features in various vision tasks and consistently outperforms baseline models in performance gains.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

添加到收藏夹

Article Construction & Building Technology

Wood hole-damage detection and classification via contact ultrasonic testing

Mohsen Mousavi et al.

Summary: This study investigated hole-defect classification in hard and soft wood using a naive Bayes classification technique based on contact ultrasonic tests conducted in different directions. By implementing 50 replicates of each test and utilizing the Variational Mode Decomposition (VMD) algorithm, features from the ultrasonic signals were derived for classification, resulting in nearly 100% 10-fold cross-validation accuracy. However, when cases from different wood types and test directions were mixed, a 93.6% accuracy was achieved using a kernel naive Bayes classifier with a mixture of features.

CONSTRUCTION AND BUILDING MATERIALS (2021)

添加到收藏夹

Article Instruments & Instrumentation

Timber moisture detection using wavelet packet decomposition and convolutional neural network

Cheng Yuan et al.

Summary: This study proposed a percussion-based method to replace constant contact between timber structures and sensors due to moisture vulnerability, and experimental studies were conducted to verify the effectiveness of two automated moisture detection approaches. By incorporating machine learning and deep learning techniques, the proposed methods covered a comprehensive classification ability from 1D time-domain signal classification to 2D image classification.

SMART MATERIALS AND STRUCTURES (2021)

添加到收藏夹

Article Engineering, Civil

A novel Mel-frequency cepstral analysis based damage diagnostic technique using ambient vibration data

J. Prawin et al.

Summary: A two-stage novel Mel-frequency cepstral analysis based damage diagnostic technique is proposed for detection, localization, and characterization using ambient vibration data. The technique effectively distinguishes damage from other variations and is robust enough to identify multiple damages present in the structure. The proposed approach has been verified using synthetic datasets and experimental datasets, demonstrating its practical viability.

ENGINEERING STRUCTURES (2021)

添加到收藏夹

Article Chemistry, Multidisciplinary

An Improved Hilbert-Huang Transform for Vibration-Based Damage Detection of Utility Timber Poles

Ipshita Das et al.

Summary: This study adopts vibration-based non-destructive testing technique to assess the condition of in-service timber poles, using HHT and WPT for signal processing. The results demonstrate that the combination of HHT and WPT has great potential for the condition assessment of utility timber poles, by conducting time-frequency analysis and extracting features from the signals.

APPLIED SCIENCES-BASEL (2021)

添加到收藏夹

Article Engineering, Civil

Procedure for parameter identification and mechanical properties assessment of CLT connections

Jixing Cao et al.

ENGINEERING STRUCTURES (2020)

添加到收藏夹

Article Engineering, Civil

A Dynamic Bayesian Network framework for spatial deterioration modelling and reliability updating of timber structures subjected to decay

Thanh-Binh Tran et al.

ENGINEERING STRUCTURES (2020)

添加到收藏夹

Article Engineering, Multidisciplinary

Depth detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion and decision tree

Dongdong Chen et al.

MEASUREMENT (2020)

添加到收藏夹

Article Materials Science, Characterization & Testing

Feature extraction of wood-hole defects using empirical mode decomposition of ultrasonic signals

Mohsen Mousavi et al.

NDT & E INTERNATIONAL (2020)

添加到收藏夹

Article Construction & Building Technology

Experimental buckling performance of eucalyptus-based oriented oblique laminated strand lumber columns under centric and eccentric compression

Jiawei Chen et al.

CONSTRUCTION AND BUILDING MATERIALS (2020)

添加到收藏夹

Article Instruments & Instrumentation

Percussion-based bolt looseness monitoring using intrinsic multiscale entropy analysis and BP neural network

Rui Yuan et al.

SMART MATERIALS AND STRUCTURES (2019)

添加到收藏夹

Article Materials Science, Characterization & Testing

Damage detection of in service timber poles using Hilbert-Huang transform

S. Bandara et al.

NDT & E INTERNATIONAL (2019)

添加到收藏夹

Article Instruments & Instrumentation

Tapping and listening: a new approach to bolt looseness monitoring

Qingzhao Kong et al.

SMART MATERIALS AND STRUCTURES (2018)

添加到收藏夹

Article Engineering, Civil

Structural failure in large-span timber structures: A comprehensive analysis of 230 cases

Philipp Dietsch et al.

STRUCTURAL SAFETY (2018)

添加到收藏夹

Article Acoustics

Impact-acoustic evaluation method for rubber-steel composites: Part I. Relevant diagnostic concepts

Gheorghe Bunget et al.

APPLIED ACOUSTICS (2015)

添加到收藏夹

Article Materials Science, Characterization & Testing

Assessing wood in sounding boards considering the ratio of acoustical anisotropy

Mehran Roohnia et al.

NDT & E INTERNATIONAL (2011)

添加到收藏夹

Article Forestry

Rapid assessment of wood density of live trees using the Resistograph for selection in tree improvement programs

F Isik et al.

CANADIAN JOURNAL OF FOREST RESEARCH (2003)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.