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Applied Sciences
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Recent Advances in Civil Structural Health Monitoring
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Recent Advances in Civil Structural Health Monitoring

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3622

Special Issue Editors

Dr. Jinchao Wang

E-Mail Website
Guest Editor
Institute of Rock Mass and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
Interests: civil structural health monitoring; underground space detection; rock mass structure detection; disaster monitoring and assessment; geotechnical engineering; borehole survey; rock mass visualization
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Junpeng Zou

E-Mail Website
Guest Editor
Faculty of Engineering, China University of Geosciences, Wuhan 100083, China
Interests: dynamic disaster mechanism and prevention; detection and evaluation of geological disaster source; stability analysis of surrounding rock; numerical simulation technology
Dr. Hao Wang

E-Mail Website
Guest Editor
School of Civil Engineering, Southeast University, Nanjing 211189, China
Interests: wind engineering; bridge engineering; vibration control; structural health monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, civil engineering accidents have occurred with high frequency, causing heavy casualties and property losses. Improving the comprehensive disaster prevention and mitigation capability of civil engineering structures has become an urgent and important task for engineers and technicians in various countries. After long-term unremitting theoretical exploration and engineering practice by scholars from various countries, civil structural health monitoring has shown remarkable advantages in the field of disaster prevention and reduction, and has become a hot field and development frontier of civil engineering. The progress of artificial intelligence, 5G, cloud computing and other technologies has deeply affected the technology and mode of civil engineering health monitoring. Intelligent monitoring and diagnosis has become a hot direction of scientific research and technological development. This Special Issue will publish high-quality original research papers in the overlapping fields of the following recent advances in civil structural health monitoring (not an exhaustive list):

  • Health monitoring, identification, diagnosis and evaluation of civil structures;
  • Advanced detection technology and intelligence;
  • Engineering health monitoring equipment and technology;
  • Civil inspection equipment and technology;
  • Multisource data fusion technology of civil structures;
  • Intelligent identification, evaluation and regulation technology;
  • Structural numerical modeling, static and dynamic analysis and design;
  • Characteristics, modeling and prediction of structural load field;
  • Structural maintenance, reinforcement, transformation and performance improvement;
  • Intelligent disaster prevention and mitigation of civil structures;
  • Efficient development and utilization of underground space;
  • Civil and structural engineering and other related fields.

Dr. Jinchao Wang
Prof. Dr. Junpeng Zou
Dr. Hao Wang
Guest Editors

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. Applied Sciences 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 2400 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

  • civil engineering
  • civil structural engineering
  • structural health monitoring
  • structure detection
  • underground space
  • intelligent identification
  • equipment and technology

Published Papers (3 papers)

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Research

20 pages, 13400 KiB  
Article
Exploration Technology of Adverse Geological Body in Karst Development Area Based on Borehole Multi-Source Data
by Wenlian Liu, Sugang Sui, Hanhua Xu, Jinchao Wang and Feng Wang
Appl. Sci. 2023, 13(5), 2955; https://0-doi-org.brum.beds.ac.uk/10.3390/app13052955 - 25 Feb 2023
Cited by 1 | Viewed by 1095
Abstract
In view of the current technical difficulties in the detection of unfavorable geological bodies in karst areas, this paper starts with the fine detection of a borehole wall, near-field of the borehole wall rock and far-field of the borehole wall rock, deeply excavates [...] Read more.
In view of the current technical difficulties in the detection of unfavorable geological bodies in karst areas, this paper starts with the fine detection of a borehole wall, near-field of the borehole wall rock and far-field of the borehole wall rock, deeply excavates the correlation characteristics between multi-source borehole data, and proposes detection technology for unfavorable geological bodies in karst development areas based on multi-source borehole data. This is used to establish a multi-source data depth mining model. The correlation characteristics between multi-source data are clarified. The borehole multi-source heterogeneous detection technology is proposed to realize the organic fusion between the detection data of different scales, and effectively estimate the extension range of structural planes and cavities. The joint interpretation method of multi-source drilling data can effectively realize the three-dimensional visualization of unfavorable geological bodies in karst development areas. Through a case analysis, it is shown that this technology is a new and effective exploration method in the engineering geological exploration of karst development areas, and can provide more abundant and reliable exploration data for the fine exploration of geological bodies in the exploration area. Full article
(This article belongs to the Special Issue Recent Advances in Civil Structural Health Monitoring)
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15 pages, 3691 KiB  
Article
Pre-Reinforcement Mechanism and Effect Analysis of Surface Infiltration Grouting in Shallow Buried Section of Long-Span Tunnel
by Weiwen Cao, Yonghua Su, Xin Wang and Houcheng Liu
Appl. Sci. 2023, 13(1), 455; https://0-doi-org.brum.beds.ac.uk/10.3390/app13010455 - 29 Dec 2022
Viewed by 1100
Abstract
In order to solve the problem that the hole-forming rate of boreholes is low and it is difficult to reach the designed length when supporting a long pipe shed in loose stratum in a shallow buried section of a long-span tunnel, it is [...] Read more.
In order to solve the problem that the hole-forming rate of boreholes is low and it is difficult to reach the designed length when supporting a long pipe shed in loose stratum in a shallow buried section of a long-span tunnel, it is necessary to pre-reinforce the loose stratum in order to improve the strength and integrity of the surrounding rock. Relying on the grouting project of the shallow buried section at the exit of Botanggou tunnel, it is assumed that the grouting material is Newtonian fluid and the steel floral tube shows cylindrical infiltration and diffusion. Through the analysis of the structural characteristics of the injected stratum, the conceptual model of infiltration grouting is established. Twelve groups of test slurry were prepared with ordinary Portland cement and ultra-fine cement, and through the analysis of the slurry parameters of each group, ordinary Portland cement slurry was selected with a water–cement ratio of 1:1 plus 3% water glass to strengthen the gravel layer, and ultra-fine cement slurry with a water–cement ratio of 1:1 plus 3% water glass and 0.3% polycarboxylate superplasticizer to strengthen the fully and strongly weathered porphyritic granite layer. Through the on-site single-hole grouting test and combining with the empirical formula, the maximum diffusion radius of single-hole infiltration grouting is calculated, and the sliding width of the sidewall is deduced using Terzaghi theory. To ensure the grouting effect, the 5 m expansion of the excavation profile is taken as the grouting range. Grouting construction adopts the overall order of periphery and then interior, and three-sequence opening and grouting are adopted in the same row of grouting holes, which can effectively prevent grouting running and grouting. For the strata treated by surface grouting, the construction of the long pipe shed is smooth and reaches the designed length, and there is no large deformation of the surrounding rock when excavated using the CD method. The treatment effect is analyzed by the P-Q-t control method, excavation observation method, and deformation monitoring method. The results show that the injected stratum is fully infiltrated and gelled, forms an obvious grouting stone body, the integrity and strength of surrounding rock are obviously improved, and the convergence values of the tunnel surface, vault subsidence, and clearance do not exceed the alarm value of 60 mm. The research results provide some awareness and understanding of the grouting pre-reinforcement of loose stratum in a shallow buried section of a long-span tunnel in the future. Full article
(This article belongs to the Special Issue Recent Advances in Civil Structural Health Monitoring)
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14 pages, 3471 KiB  
Article
Exploration of Kastification and Characterization Based on Borehole Image
by Wenlian Liu, Sugang Sui, Hanhua Xu, Yigao Huai, Jinchao Wang and Jing Zhao
Appl. Sci. 2022, 12(24), 12535; https://0-doi-org.brum.beds.ac.uk/10.3390/app122412535 - 7 Dec 2022
Viewed by 898
Abstract
The characteristics of the karst pore structure not only affect the seepage features of the rock mass in the karst area but also have a noticeable effect on the mechanical behavior in the process of rock mass loading. The exploration of the exhibition [...] Read more.
The characteristics of the karst pore structure not only affect the seepage features of the rock mass in the karst area but also have a noticeable effect on the mechanical behavior in the process of rock mass loading. The exploration of the exhibition karst pore structure plays a crucial role in the development of science, technology, and engineering construction. In order to appropriately unlock the problem of image brightness imbalance caused by probe eccentricity in field image acquisition and to realize the proper in situ identification and precise characterization of the borehole structure, the scrutiny of karst pore recognition and a characterization method based on the borehole image are proposed. First, combined with the imaging characteristics of borehole image construction, an eccentric image acquisition model is constructed, the change law of image illumination intensity is clarified, and a suitable pretreatment method is developed for karst pore structures, which effectively enhances the borehole image quality. Subsequently, the pore structure identification method is established by integrating the gradient operator and the maximum interclass variance method, which could successfully screen and filter out the non-porous region segments and ensure that the identified pore structure features are more accurate and rich. Finally, on the basis of representing the single pore structure, number and area proportion functions are constructed in both the depth and azimuth directions, and the distribution characteristics of the pore structure on the borehole wall are evaluated in various dimensions. The achieved results reveal that the proposed pore structure identification and characterization approach could substantially enhance the work efficiency of the karst pore structure in borehole images and provide a simple, reliable, and effective method for the statistics and application of karst pore data. Full article
(This article belongs to the Special Issue Recent Advances in Civil Structural Health Monitoring)
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