Advances in Civil Engineering

Intelligent Techniques for Structural Health Monitoring of Civil Engineering Structures


Publishing date
01 Jul 2022
Status
Closed
Submission deadline
04 Mar 2022

1Duy Tan University, Da Nang, Republic of Korea

2Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

3Duy Tan University, Da Nang, Vietnam

4Pukyong National University, Busan, Republic of Korea

This issue is now closed for submissions.
More articles will be published in the near future.

Intelligent Techniques for Structural Health Monitoring of Civil Engineering Structures

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Structural health monitoring (SHM) refers to the process of damage identification. It enabled us to observe the changes in the structural responses of a civil engineering structure using sensory systems. Recent advances in sensing technologies and machine learning have opened a new paradigm for SHM with cost-effectiveness and real-time operation. A substantial amount of structural information can be effectively collected from a complex real-world structure through a smart sensor network.

However, it requires advanced and intelligent data analytic tools to extract useful information for the assessment of structural conditions and the diagnosis of structural damage. SHM using traditional physics-based approaches shows less practicality for realistic applications due to the complexity of in-situ structures, environmental changes, operational conditions, and the existence of structural damage. Data-driven approaches based on machine learning have helped us create methodologies that can more accurately predict the structure damage under a high level of uncertainty.

The aim of this Special Issue is to bring together original research and review articles discussing intelligent SHM techniques as the combination of innovative machine learning strategies with smart sensors for enhancing performance and realizing the goal of SHM.

Potential topics include but are not limited to the following:

  • Structural health monitoring (SHM) and damage identification
  • Big data and intelligent monitoring techniques for SHM
  • Smart sensor and innovative sensing technologies
  • Sensors and sensor networks for SHM
  • Vision sensor-based SHM
  • Piezoelectric sensor-based SHM
  • Advanced data processing techniques for SHM
  • Uncertainty and errors in SHM and damage assessment
  • Intelligent structures and materials for SHM
  • Local and global SHM methods
  • Real-world SHM applications

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 5444101
  • - Research Article

Computer Vision-Based Structural Displacement Monitoring and Modal Identification with Subpixel Localization Refinement

Tao Liu | Yu Lei | Yibing Mao
  • Special Issue
  • - Volume 2022
  • - Article ID 4456439
  • - Research Article

Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method

Thanh-Cao Le | Duc-Duy Ho | ... | Thanh-Canh Huynh
  • Special Issue
  • - Volume 2022
  • - Article ID 7183700
  • - Research Article

Prediction of Pile Bearing Capacity Using Opposition-Based Differential Flower Pollination-Optimized Least Squares Support Vector Regression (ODFP-LSSVR)

Nhat-Duc Hoang | Xuan-Linh Tran | Thanh-Canh Huynh
  • Special Issue
  • - Volume 2022
  • - Article ID 4992321
  • - Research Article

A Depth Camera-Based Intelligent Method for Identifying and Quantifying Pavement Diseases

Hao Bai | Xiangyu Hu | ... | Fengni Wei
  • Special Issue
  • - Volume 2022
  • - Article ID 1350443
  • - Research Article

Monitoring and Prediction Analysis of Settlement for the Substation on Soft Clay Foundation

Qingwei Chen | Zhen Yang | ... | Dan Xie
  • Special Issue
  • - Volume 2022
  • - Article ID 9193511
  • - Research Article

A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning

Nhat-Duc Hoang | Thanh-Canh Huynh | ... | Van-Duc Tran
  • Special Issue
  • - Volume 2022
  • - Article ID 1813821
  • - Research Article

Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach

Licun Yu | Shuanhai He | ... | Shuiying Xiang
Advances in Civil Engineering
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Acceptance rate42%
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Acceptance to publication21 days
CiteScore2.600
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Impact Factor1.843
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.