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Buildings
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Advances in Inverse Problem Applications in Structural Health Monitoring
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Advances in Inverse Problem Applications in Structural Health Monitoring

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

Deadline for manuscript submissions: closed (10 June 2024) | Viewed by 7095

Special Issue Editors

Dr. Brahim Benaissa

E-Mail Website
Guest Editor
Department of Mechanical Systems Engineering, Toyota Technological Institute, Nagoya 468-8511, Japan
Interests: structural health monitoring; optimization algorithms; inverse problems; modeling and simulation
Dr. Samir Khatir

E-Mail Website
Guest Editor
Department of Electrical Energy, Ghent University, 9000 Gent, Belgium
Interests: damage detection; composite structures; FEM-XFEM-XIGA; optimization methods
Prof. Dr. Roberto Capozucca

E-Mail Website
Guest Editor
Department of Construction, Civil Engineering and Architecture, Polytechnic University of Marche, Ancona, Italy
Interests: computational mechanics; construction and building materials; structural health monitoring; engineering structures
Special Issues, Collections and Topics in MDPI journals
Dr. Musaddiq Al Ali

E-Mail Website
Guest Editor
Department of Advanced Science and Technology, Toyota Technological Institute, Nagoya, Japan
Interests: structural optimization; composite structures; modeling and simulation; topology optimization

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the latest advancements in inverse problem formulation of structural health monitoring problems. The advancement in this field is expected to lay the foundation for ground-breaking technologies to maintain civil and mechanical structures. We are looking forward to papers that suggest new ideas on three main fronts:

  1. Forward Problem:
  • Robust Structural Modeling;
  • Quick Structural Simulation;
  • Sampling-Based Modeling;
  • Experiment-Based Modeling.
  1. Problem Formulation:
  • Damage Formulation and Damage Indicators;
  • Sensing Strategy;
  • Design Variables complexity;
  • Structural complexity.
  1. Inverse Problem Solving:
  • Robust Optimization Formulation;
  • Dedicated Inverse Problem-Solving Strategies;
  • Real-Time Solutions;
  • Solutions for Portable Computing.

We are looking forward to applications related to the following topics:

  • Damage Identification in Composite and Noncomposite Material Structures;
  • Structural Health Monitoring in Masonry;
  • Computer-Aided Design and Simulations;
  • Optimal Structural Health Monitoring;
  • Non-Destructive Testing Signal Processing;
  • Artificial Intelligence in Structural Health Monitoring;
  • Probabilistic Modeling;
  • Solutions for Portable Computing;
  • Innovation in Dynamic Analysis of Structures;
  • Advances in Sensing Technologies;
  • Human-centered Computing in Structural Health Monitoring;
  • Design of Soft Computing Approach for future technologies.

Dr. Brahim Benaissa
Dr. Samir Khatir
Prof. Dr. Roberto Capozucca
Dr. Musaddiq Al Ali
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. 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
  • crack identification
  • damage detection
  • inverse problems
  • modeling and simulation
  • optimization algorithms
  • embedded sensor technology
  • masonry research
  • advanced structural mechanics
  • robust optimization

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

23 pages, 8095 KiB  
Article
Using Biopolymers as Anti-Washout Admixtures under Water Concreting
by Mohsen Razaghi Atash Beik, Kasra Yousefi Moghadam, Mohammad Noori, Wael A. Altabey, Xinquan Chang, Changyuan Liu, Xin Wang and Ehsan Noroozinejad Farsangi
Buildings 2024, 14(4), 1140; https://doi.org/10.3390/buildings14041140 - 18 Apr 2024
Cited by 1 | Viewed by 939
Abstract
In this study, we investigate the use of natural additives (biopolymers) resistant to scouring. To this end, three natural substances, Kathira, sodium alginate, and guar gum, have been utilized as additives resistant to scouring, and we examine their mechanical performance, resistance to scouring, [...] Read more.
In this study, we investigate the use of natural additives (biopolymers) resistant to scouring. To this end, three natural substances, Kathira, sodium alginate, and guar gum, have been utilized as additives resistant to scouring, and we examine their mechanical performance, resistance to scouring, and the properties of fresh concrete including slump test, setting time, and ultimately shrinkage test. For this purpose, a total of 12 cylindrical specimens with dimensions of 15 by 30 cm were prepared for 28-day compressive strength test, and 12 cylindrical specimens with dimensions of 15 by 30 cm were prepared for 28-day indirect tensile strength test. Additionally, 12 concrete beams with dimensions of 10 by 10 by 35 cm were fabricated for a 28-day flexural strength test. All laboratory specimens were submerged in lime-saturated water for hydration for a period of 28 days for maintenance and preservation. The results indicate that all three biopolymers improve resistance to scouring, and, two substances enhance compressive, tensile, and flexural strength. Furthermore, all of them lead to a reduction in concrete shrinkage. Full article
(This article belongs to the Special Issue Advances in Inverse Problem Applications in Structural Health Monitoring)
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16 pages, 5536 KiB  
Article
Novel Approach-Based Sparsity for Damage Localization in Functionally Graded Material
by Emad Ghandourah, Kouider Bendine, Samir Khatir, Brahim Benaissa, Essam Mohammed Banoqitah, Abdulsalam Mohammed Alhawsawi and Essam B. Moustafa
Buildings 2023, 13(7), 1768; https://doi.org/10.3390/buildings13071768 - 11 Jul 2023
Cited by 10 | Viewed by 1186
Abstract
Model-based approaches have been widely employed in damage detection and localization studies. However, alternative techniques, such as built-in online detection methods, hold promise for future advancements in structural health monitoring technologies. In this research paper, we present a dynamic algorithm specifically designed for [...] Read more.
Model-based approaches have been widely employed in damage detection and localization studies. However, alternative techniques, such as built-in online detection methods, hold promise for future advancements in structural health monitoring technologies. In this research paper, we present a dynamic algorithm specifically designed for accurate damage localization in functionally graded plates. The suggested method involves the creation of a grid matrix that captures the dynamic response of the structure over time. Subsequently, an optimization process is performed using a linear equation that incorporates the information contained within the grid, enabling the precise localization of damage. To address the inherent sparsity of the localization nature, we utilize the FISTA (fast iterative shrinkage-thresholding algorithm) as a problem solver. The effectiveness of our approach is evaluated through experimental tests on a functionally graded plate with clamped free boundary conditions. Multiple damage scenarios are investigated, including cases with damage signals on and off-the-grid. The results demonstrate that our proposed approach is capable of accurately predicting the position of damage, indicating its suitability for application in low-size data systems. Full article
(This article belongs to the Special Issue Advances in Inverse Problem Applications in Structural Health Monitoring)
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23 pages, 7740 KiB  
Article
Detection in RC Beams Damaged and Strengthened with NSM CFRP/GFRP Rods by Free Vibration Monitoring
by Elisa Bettucci, Roberto Capozucca, Erica Magagnini and Maria Vittoria Vecchietti
Buildings 2023, 13(4), 979; https://doi.org/10.3390/buildings13040979 - 7 Apr 2023
Cited by 1 | Viewed by 1408
Abstract
This paper intends to deepen the topic of damage detection based on non-destructive tests (NDT) for the assessment of the dynamic behavior of RC beams damaged and strengthened both with near-surface mounted (NSM) Carbon and GlassFRP rods. The NSM strengthening with fiber-reinforced polymer [...] Read more.
This paper intends to deepen the topic of damage detection based on non-destructive tests (NDT) for the assessment of the dynamic behavior of RC beams damaged and strengthened both with near-surface mounted (NSM) Carbon and GlassFRP rods. The NSM strengthening with fiber-reinforced polymer (FRP) rods of damaged reinforced concrete (RC) beams is a viable alternative to the traditional strengthening with externally bonded (EB) FRP strips or sheets. In this paper, static tests were foreseen on RC beams to create cracking, and successively, the RC beams strengthened with NSM CFRP and GFRP rods were still investigated using free vibration tests at different loading levels until failure. The purpose of this research is to compare the response of two different types of strengthening of damaged RC beams based on the strength of CFRP and GFRP rods until failure modes. At different steps of loading, the behavior of beams under experimental vibrations has been monitored by frequency response function (FRF) diagrams. Finally, a discussion of the results is presented. Full article
(This article belongs to the Special Issue Advances in Inverse Problem Applications in Structural Health Monitoring)
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16 pages, 2560 KiB  
Article
Enhanced ANN Predictive Model for Composite Pipes Subjected to Low-Velocity Impact Loads
by Emad Ghandourah, Samir Khatir, Essam Mohammed Banoqitah, Abdulsalam Mohammed Alhawsawi, Brahim Benaissa and Magd Abdel Wahab
Buildings 2023, 13(4), 973; https://doi.org/10.3390/buildings13040973 - 6 Apr 2023
Cited by 23 | Viewed by 1986
Abstract
This paper presents an enhanced artificial neural network (ANN) to predict the displacement in composite pipes impacted by a drop weight having different velocities. The impact response of fiber-reinforced polymer composite pipes depends on several factors including thickness, stacking sequence, and the number [...] Read more.
This paper presents an enhanced artificial neural network (ANN) to predict the displacement in composite pipes impacted by a drop weight having different velocities. The impact response of fiber-reinforced polymer composite pipes depends on several factors including thickness, stacking sequence, and the number of layers. These factors were investigated in an earlier study using sensitivity analysis, and it was found that they had the most prominent effect on the impact resistance of the composite pipes. In this present study, composite pipes with a diameter of 54 mm are considered to explore the damages induced by low-velocity impact and the influence of these damages on their strength. To evaluate the effect of low-velocity, the pipes were exposed to impacts at different velocities of 1.5, 2, 2.5, and 3 m/s, and preliminary damage was initiated. Next, we used Jaya and E-Jaya algorithms to enhance the ANN algorithm for good training and prediction. The Jaya algorithm has a basic structure and needs only two requirements, namely, population size and terminal condition. Recently, Jaya algorithm has been widely utilized to solve various problems. Due to its single learning technique and limited population information, Jaya algorithm may quickly be trapped in local optima while addressing complicated optimization problems. For better prediction, an enhanced Jaya (E-Jaya) algorithm has been presented to enhance global searchability. In this study, ANN is enhanced based on the influential parameters using E-Jaya to test its effectiveness. The results showed the effectiveness of the E-Jaya algorithm for best training and prediction compared with the original algorithm. Full article
(This article belongs to the Special Issue Advances in Inverse Problem Applications in Structural Health Monitoring)
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