Civil Engineering Applications of Structural Health Monitoring

A special issue of Vibration (ISSN 2571-631X).

Deadline for manuscript submissions: closed (31 October 2018)

Special Issue Editor

Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK
Interests: wind engineering; wind structure interaction; long span bridges; monitoring; resilience
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The ageing of civil infrastructure has long been recognised as a major problem, both in terms of safety and also the economic impact of maintenance costs and loss of utility. Structural health monitoring has the potential to contribute to safety and prioritising maintenance expenditures. However, despite a great deal of research over a number of decades there are a number of significant challenges that remain.

The aim of this Special Issue is to collate the state-of-the-art research in vibration based structural health monitoring for civil engineering applications. Authors are invited to submit papers that describe ongoing work to address the significant challenges that limit the widespread effective implementation of structural health monitoring systems in civil engineering. Topics to be covered include:

(i) Sensors for SHM of civil engineering infrastructure

(ii) Optimal sensor placement for civil engineering SHM

(iii) Big data and SHM

(iv) Quantification of uncertainties in monitoring parameters

(v) The use of SHM in reliability assessment

(vi) System identification for SHM

(vii) The removal of environmental effects from SHM data

(viii) Appropriate modelling of damage for civil engineering SHM

Vibration (ISSN 2571-631X) is dedicated to the scientifically-rigorous dissemination of peer-reviewed publications pertinent to vibration science and engineering. All accepted manuscripts submitted in 2018 will be published in open access, with article processing charges (APCs) waived.

Dr. John Owen
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. Vibration is an international peer-reviewed open access quarterly 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 1600 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.

Published Papers (1 paper)

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Research

19 pages, 2789 KiB  
Article
Structure Damage Identification Based on Regularized ARMA Time Series Model under Environmental Excitation
by Xuan Zhang, Dongsheng Li and Gangbing Song
Vibration 2018, 1(1), 138-156; https://doi.org/10.3390/vibration1010011 - 03 Sep 2018
Cited by 7 | Viewed by 2969
Abstract
In this paper, a non-modal parametric method to identify structural damage using a regularized autoregressive moving average time series model under environmental excitation is proposed in combination with the virtual impulse response function. This method can use the structural vibration response to determine [...] Read more.
In this paper, a non-modal parametric method to identify structural damage using a regularized autoregressive moving average time series model under environmental excitation is proposed in combination with the virtual impulse response function. This method can use the structural vibration response to determine the damage caused to the structure during environmental excitation. Firstly, the virtual impulse response function is obtained by using the structural vibration response. Then, a regularized ARMA time series model is used to fit the virtual impulse response function. Based on the change of auto-regression coefficients in the regularization model under different damage cases, the structural damage is identified. The authors derive the regularization equation of an ARMA time series model to solve the problems in a time series model and obtain the regularization coefficient. Finally, this method is applied to a three-degrees-of-freedom chain structure and a three-floor shear structure of the Los Alamos National Laboratory (LANL). The experimental results show that the method based on the regularized ARMA time series model under environmental excitation can effectively identify the structural damage, which is a reliable method for damage identification. The regularized ARMA time series model can accurately extract signal features and has invaluable application prospects in the field of structural health monitoring. Full article
(This article belongs to the Special Issue Civil Engineering Applications of Structural Health Monitoring)
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