Submit to Materials Review for Materials Propose a Special Issue

Journal Browser

Advanced Structural Health Monitoring in Materials

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 10026

Share This Special Issue

Special Issue Editor

Prof. Keith W. Goossen

E-Mail Website
Guest Editor

Department of Electrical and Computer Engineering, University of Delaware, 202 Evans Hall Newark, Newark, DE 19716-3130, USA
Interests: distrubuted sensors; optical integration; non-intrusive monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues,

Structural health monitoring of materials using in-situ sensors predicts the lifetime and safety of infrastructure, such as bridges and pipelines, and vehicles, especially aircraft with composite materials, and mechanical devices such as wind turbines. In addition, it holds the promise of providing real-time data for adaptive mechanical devices. While this issue is not limited to fiber optic sensors, these sensors, particularly distributed sensors including fiber Bragg gratings, have the ability to be easily integrated and provide extensive data at high speed. Besides advances in the sensors themselves, this Special Issue is seeking innovation in the integration and connectivity of such sensors.

Prof. Keith W. Goossen
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Materials is an international peer-reviewed open access semimonthly 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
Smart structures
Composite materials
Fiber optic sensors
Fiber Bragg gratings
Non-intrusive monitoring
Lifetime monitoring
Adaptive mechanics
Non-destructive testing/evaluation
Sensor integration

Published Papers (4 papers)

Download All Papers

Research

11 pages, 2323 KiB

Open AccessArticle

Structural Instability-Enabled Mechanical Sensors Using Fiber Bragg Grating

by Pengcheng Jiao, Yiwei Xie, Shengnan Wu and Xinyu Liu

Materials 2020, 13(11), 2599; https://doi.org/10.3390/ma13112599 - 07 Jun 2020

Cited by 2 | Viewed by 2154

Abstract

Structural health monitoring (SHM) has been extensively used in civil infrastructures to assess structural condition and situation. Here, we develop a novel type of mechanical sensing technique using the structural instability of cylindrical cells detected by fiber Bragg grating (FBG). The cylinders are fabricated using a 3D printing technique, which are coiled by the FBG wires to detect the transverse deformation. Structural instability under axial compression is obtained in the experiments and the force–displacement relations are validated by the numerical simulations with satisfactory agreements. The wavelength variation of the FBG, caused by the structural instability, is observed and compared with the predefined threshold. Defining the variation larger than the threshold as “1” and smaller as “0”, the pattern recognition algorithm is used to convert the FBG results into binary data, which can, therefore, be analyzed to indicate the structural conditions. In the end, we envision the potential applications of the reported sensing technique, such as wireless sensors for structural health monitoring (SHM) in civil infrastructures. Full article

(This article belongs to the Special Issue Advanced Structural Health Monitoring in Materials)

► Show Figures

Graphical abstract

20 pages, 8384 KiB

Open AccessArticle

Short and Long Term Measurements in Assessment of FRP Composite Footbridge Behavior

by Mikołaj Miśkiewicz, Łukasz Pyrzowski and Bartosz Sobczyk

Materials 2020, 13(3), 525; https://doi.org/10.3390/ma13030525 - 22 Jan 2020

Cited by 12 | Viewed by 2250

Abstract

The paper presents application of different sensors for the purpose of short and long term measurements, as well as a structural health monitoring (SHM) system to assess the behavior of a novel fiber reinforced plastics (FRP) composite footbridge. The aim is to present a thorough and concise description of these sensors networks and results gathered with their aid during in situ measurement of strains, displacements, and vibrations, as only a few works are available in this field. The bridge geometry, material solutions, and properties are described at first. Then the measurement devices composing the system and subsystems of sensors are elaborated on. Subsequently, the bridge research program is described and the results are shown and discussed. Finally, it is concluded that the use of selected sensors is helpful in assessment of the behavior of the novel structure, and moreover in validation of its numerical models. The collected data confirmed many assumptions made during the bridge design process and allowed us to accept it for exploitation. Full article

(This article belongs to the Special Issue Advanced Structural Health Monitoring in Materials)

► Show Figures

Figure 1

13 pages, 4364 KiB

Open AccessArticle

Damage Localization of Composites Based on Difference Signal and Lamb Wave Tomography

by Chenhui Su, Mingshun Jiang, Jianying Liang, Aiqin Tian, Lin Sun, Lei Zhang, Faye Zhang and Qingmei Sui

Materials 2020, 13(1), 218; https://doi.org/10.3390/ma13010218 - 04 Jan 2020

Cited by 13 | Viewed by 2447

Abstract

In order to deal with the problem of composite damage location, an imaging technique based on differential signal and Lamb wave tomography was proposed. Firstly, the feasibility of the technique put forward was verified by simulation. In this process, the composite model was regularly set down by the circular sensor array, with each sensor acting as an actuator in sequence to generate Lamb waves. Apart from that, other sensors were used to collect response signals. With regard to the damage factor, it was mainly determined by the difference between the damage signal and the non-damage signal. The probabilistic imaging algorithm was employed to carry out damage location imaging. Then, experiments were carried out so as to study the selected composite plate. Finally, the tentative outcomes have illustrated that the maximum error of damage imaging position was 7.07 mm. The relative error was 1.6%. In addition, the method has the characteristics of simple calculation and high imaging efficiency. Therefore, it has large technical potential and wide applications in the damage location and damage recognition for composite material. Full article

(This article belongs to the Special Issue Advanced Structural Health Monitoring in Materials)

► Show Figures

Figure 1

15 pages, 6791 KiB

Open AccessArticle

Performance Investigation on Different Designs of Superhydrophobic Surface Texture for Composite Insulator

by Meiyun Zhao, Wei Li, Yang Wu, Xinze Zhao, Mingyi Tan and Jingtang Xing

Materials 2019, 12(7), 1164; https://doi.org/10.3390/ma12071164 - 10 Apr 2019

Cited by 22 | Viewed by 2877

Abstract

To investigate the superhydrophobic properties of different surface textures, nine designs of textures with micro-nanostructures were produced successfully using the laser engraving technique on the surfaces of composite insulator umbrella skirt samples made of silicon rubber. The optimal parameters of the texture designs to give rise to the best hydrophobicity were determined. The surface morphology, abrasion resistance, corrosion resistance, self-cleaning and antifouling property of the different textured surfaces as well as water droplets rolling on the textured surfaces were studied experimentally using a contact angle meter, scanning electron microscope, three-dimensional topography meter and high-speed camera system. It was found that the diamond column design with optimal parameters has the best superhydrophobicity and overall performance. The most remarkable advantage of the optimal diamond column design is its robustness and long-term superhydrophobicity after repeated de-icing in harsh conditions. The reported work is an important step towards achieving superhydrophobic surface without coating for outdoor composite insulator in practical applications. Full article

(This article belongs to the Special Issue Advanced Structural Health Monitoring in Materials)

► Show Figures

Graphical abstract

Journal Menu

Journal Browser

Advanced Structural Health Monitoring in Materials

Share This Special Issue

Special Issue Editor

Special Issue Information

Keywords

Published Papers (4 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI