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Research on Non-destructive Testing in Civil Engineering Materials (Second Volume)

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 3089

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Guest Editor
Department of Mechanics of Materials and Structures, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Gdańsk, Poland
Interests: non-destructive testing; bridges; modeling and simulations; FEM
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Special Issue Information

Dear Colleagues,

Today, the diagnostics of engineering structures is a research area undergoing very rapid development in many research centers. The reasons behind researchers’ investigation of this field include the large amount of serious damage or failure of structures that have already been built, the age of the technical infrastructure, and the current tendency to design modern buildings with a complex geometry, characterized by a very high ratio of utilization level and made of high-tech materials. Thus, great amounts of attention need to be paid in order to verify the correctness of the buildings and the materials’ response in real environmental and operating conditions. Thus, researchers strive for a better understanding of the behavior of structures. The measurement techniques and linear computational analyses, well-established and used for many years, are, in most cases, sufficient tools to study typical buildings. However, more sophisticated or even unique non-destructive methods for testing materials and structures, including custom nonlinear numerical models or techniques of analysis at different levels of precision, are sometimes required in the case of the analysis of some extraordinary buildings. Therefore, the aim of this Special Issue is to gather the latest advances and trends in the field of non-destructive testing in civil engineering as relates to both materials and structures. Papers including modeling and computational analyses to support non-destructive testing and SHM systems will be especially appreciated.

Prof. Dr. Mikołaj Miśkiewicz
Guest Editor

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Keywords

  • non-destructive testing
  • structural health monitoring
  • damage detection and visualization
  • modeling and simulations
  • civil engineering

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Related Special Issue

Published Papers (3 papers)

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Research

14 pages, 3379 KiB  
Article
Combinatorial Quantification of Multi-Features of Coda Waves in Temperature-Affected Concrete Beams
by Gang Zheng, Linzheng Song, Wenqi Xue, Zhiyu Zhang and Benniu Zhang
Materials 2024, 17(9), 2147; https://doi.org/10.3390/ma17092147 - 3 May 2024
Viewed by 941
Abstract
Coda waves are highly sensitive to changes in medium properties and can serve as a tool for structural health monitoring (SHM). However, high sensitivity also makes them susceptible to noise, leading to excessive dispersion of monitoring results. In this paper, a coda wave [...] Read more.
Coda waves are highly sensitive to changes in medium properties and can serve as a tool for structural health monitoring (SHM). However, high sensitivity also makes them susceptible to noise, leading to excessive dispersion of monitoring results. In this paper, a coda wave multi-feature extraction method is proposed, in which three parameters, the time shift, the time stretch, and the amplitude variation of the wave trains within the time window, are totally derived. These three parameters are each mapped to the temperature variations of concrete beams, and then combined together with their optimal weight coefficients to give a best-fitted temperature–multi-parameter relationship that has the smallest errors. Coda wave signals were collected from an ultrasonic experiment on concrete beams within an environmental temperature range of 14 °C~21 °C to verify the effectiveness of the proposed method. The results indicate that the combination of multi-features derived from coda wave signals to quantify the medium temperature is feasible. Compared to the relationship established by a single parameter, the goodness-of-fit is improved. During identification, the method effectively reduces the dispersion of identification errors and mitigates the impact of noise interference on structural state assessment. Both the identification accuracy and stability are improved by more than 50%, and the order of magnitude of the identification accuracy is improved from 1 °C to 0.1 °C. Full article
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18 pages, 7196 KiB  
Article
Temperature Effect Separation of Structure Responses from Monitoring Data Using an Adaptive Bandwidth Filter Algorithm
by Anqing Hu, Gang Liu, Changjun Deng and Jun Luo
Materials 2024, 17(2), 465; https://doi.org/10.3390/ma17020465 - 18 Jan 2024
Cited by 1 | Viewed by 857
Abstract
Temperature is one of the most important factors significantly affecting damage detection performance in civil engineering. A new method called the Adaptive Bandwidth Filter Algorithm (ABFA) is proposed in this paper to separate the temperature effect from quasi-static long-term structural health monitoring data. [...] Read more.
Temperature is one of the most important factors significantly affecting damage detection performance in civil engineering. A new method called the Adaptive Bandwidth Filter Algorithm (ABFA) is proposed in this paper to separate the temperature effect from quasi-static long-term structural health monitoring data. The Adaptive Bandwidth Filter Algorithm (ABFA) is referred to as an algorithm of automatically adjusting the frequency bandwidth filter via the particle swarm optimization (PSO) algorithm. Considering the obvious multi-scale feature of the collected data of civil structure, the acquired time series are divided into different time scales (for example, day, month, year, etc.), and these scales in the frequency domain correspond to the center frequencies of the adaptive bandwidth filter. The temperature effect on structure responses across different time scales is thereafter explored by adaptively adjusting the frequency bandwidth of the filter based on the known center frequencies of different scales. The relationship between the temperature and the structure responses is established through statistical regression facilitated by sufficient in situ monitoring data. Simulation and experiment results show the very promising performance of the proposed algorithm and decouple the temperature effect accurately from the contaminated data; thus an enhanced capability of damage detection is achieved. Full article
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20 pages, 7822 KiB  
Article
Correction Factors for Sclerometric Test Results in the Technical Assessment of Timber Structural Elements under Diverse Conditions
by Justyna Jaskowska-Lemańska, Daniel Wałach and Monika Górka-Stańczyk
Materials 2023, 16(24), 7582; https://doi.org/10.3390/ma16247582 - 10 Dec 2023
Cited by 1 | Viewed by 920
Abstract
Research on existing wooden structures relies on non-destructive and semi-destructive techniques. One of the methods enabling the estimation of the physico-mechanical characteristics of wood in building structures based on established correlational relationships is the sclerometric method. The challenge in utilizing these known correlational [...] Read more.
Research on existing wooden structures relies on non-destructive and semi-destructive techniques. One of the methods enabling the estimation of the physico-mechanical characteristics of wood in building structures based on established correlational relationships is the sclerometric method. The challenge in utilizing these known correlational relationships is the lack of data regarding the impact of frequently occurring factors in objects on sclerometric test results. This paper presents the influence of selected factors on the results of sclerometric tests, such as temperature, the direction of testing in relation to annual growth rings, and the physical orientation of the measuring device. The research was conducted on pine, spruce, and fir elements, each subjected exclusively to the influence of one of these factors. The study indicates that these factors should not be overlooked in assessing technical conditions using sclerometric testing methods. The impact of temperature on sclerometric test results is relatively small; a change in temperature of 10 °C results in an average test outcome change of approximately 3%. Conversely, changing the orientation of the measuring device from horizontal to vertical can alter the test result by up to 10%. The direction of testing relative to the annual increments of wood also has a significant impact on the test results, but incorporating this factor into practice seems to be quite difficult, and in the case of elements with substantial cross-sections, it is also not required. The obtained results enable the application of established correlational relationships in the structural analysis of wooden elements for which access is challenging, especially under temperature conditions different from the reference, 20 °C. Full article
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