Intelligent Monitoring and Detecting Methodologies for Building Structures

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 10 September 2024 | Viewed by 594

Special Issue Editors


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Guest Editor
School of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: structural health monitoring; nondestructive testing; concrete structure; piezoelectric sensing; percussion acoustic; scene reconstruction

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Guest Editor
School of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: damage identification of timber structures; deep learning-based structural health monitoring; computer vision-based visible damage detection

Special Issue Information

Dear Colleagues,

Ensuring the safety and operational reliability of building structures is a critical concern. Structural health monitoring provides a proactive and real-time approach to understanding the behavior of a structure, enabling the early detection of potential issues and preventing unexpected failures. Meanwhile, nondestructive testing methods offer an approach to assess structural integrity without causing additional damage, ensuring that evaluations can be conducted without compromising the safety of the structure. The importance of research in these domains lies in its capacity to enhance our understanding of structural performance, contributing to the development of robust maintenance strategies. Investigating health monitoring and nondestructive testing methods becomes imperative in establishing resilient cities, extending the lifespan of buildings, and minimizing risks associated with structural deterioration. Furthermore, with fast strides being made into the era of artificial intelligence, improvements in computing power, the emergence of algorithms, and the accumulation of monitoring data enable more possibilities for the use of intelligent structural monitoring and detection.

The main aim of this Special Issue is to explore the recent challenges and developments of intelligent monitoring and detecting approaches for building structures. Topics of interest include, but are not limited to, the following:

  • Structural health monitoring;
  • Nondestructive testing;
  • Building structures;
  • Sensing approach;
  • Signal and data processing;
  • Advanced equipment development;
  • Artificial intelligence.

Dr. Weihang Gao
Dr. Lin Chen
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • structural health monitoring
  • nondestructive testing
  • building structure
  • sensing approach
  • signal and data processing
  • advanced equipment development
  • artificial intelligence

Published Papers (1 paper)

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Research

19 pages, 3118 KiB  
Article
Surface Deformation Calculation Method Based on Displacement Monitoring Data
by Lin He and Yibin Yao
Buildings 2024, 14(5), 1417; https://doi.org/10.3390/buildings14051417 - 14 May 2024
Viewed by 236
Abstract
Considering the importance of calculating surface deformation based on monitoring data, this paper proposes a method for calculating horizontal deformation based on horizontal displacement monitoring data. This study first analyzes the characteristics of horizontal displacement monitoring data, then proposes a scheme for obtaining [...] Read more.
Considering the importance of calculating surface deformation based on monitoring data, this paper proposes a method for calculating horizontal deformation based on horizontal displacement monitoring data. This study first analyzes the characteristics of horizontal displacement monitoring data, then proposes a scheme for obtaining the surface horizontal displacement field through corresponding discrete point interpolation. Subsequently, the calculation method for surface horizontal strain is introduced, along with relevant examples. The study also systematically summarizes the calculation methods for surface curvature and surface tilt deformation values, forming a set of surface deformation calculation methods based on monitoring data. The research results indicate that when there is a large number of on-site monitoring points, effective monitoring points can be selected based on the direction of horizontal displacement. When interpolating the surface horizontal displacement field, the interpolation accuracy of the radial basis function method is slightly higher than that of ordinary Kriging. The form of coordinate expression has a significant impact on interpolation accuracy. The accuracy of interpolation using horizontal displacement vectors expressed in polar coordinates is higher than that using vectors expressed in Cartesian coordinates. The calculated surface horizontal strain has effective upper and lower limits, with lower-limit strain on the contour line conforming to the typical surface deformation patterns around mined-out areas. Full article
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