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Design, Application, and Performance Assessment of Thin-Walled Structures in Earthquake...
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Design, Application, and Performance Assessment of Thin-Walled Structures in Earthquake Engineering

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

Deadline for manuscript submissions: closed (20 September 2024) | Viewed by 3157

Special Issue Editors

Dr. Tadeh Zirakian

E-Mail Website
Guest Editor
Department of Civil Engineering and Construction Management, California State University, Northridge, CA 91330, USA
Interests: structural and earthquake engineering; thin-walled structures; innovative materials
Dr. David M. Boyajian

E-Mail Website
Guest Editor
Department of Civil Engineering and Construction Management, California State University, Northridge, CA 91330, USA
Interests: structural engineering and dynamics; composite materials; engineering education

Special Issue Information

Dear Colleagues,

On account of their advantages such as high stiffness, light weight, and proper energy dissipation characteristics, thin-walled structures have been increasingly and extensively used in several branches of engineering as structural members and energy absorbers. Such structures seek to maximize structural efficiency and sustainability by minimizing the material consumed. Their diverse areas of application range from aircrafts, bridges and ships to industrial and residential buildings, as well as including buried structures such as tanks, culverts and many others. Thin-walled structures are considerably prone to loss of stability under the buckling failure mode. The structural behavior and stability response of thin-walled structures have been widely studied under monotonic loading conditions, while the performance assessments under dynamic actions seem to be rather limited and unsystematic. This Special Issue aims to bridge this gap by providing an international forum that can be utilised by researchers to present and share their latest research advances and findings on the design, application, and performance assessment of thin-walled structures within the framework of earthquake engineering. Original and high-quality contributions are welcome.

Dr. Tadeh Zirakian
Dr. David M. Boyajian
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 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

  • thin-walled structures
  • dynamic actions
  • stability reponse
  • design and application
  • performance assessment
  • earthquake engineering

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Published Papers (3 papers)

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Research

23 pages, 20568 KiB  
Article
On the Boundary Conditions in Out-of-Plane Analysis of Thin Plates by the Finite Point Method
by Sadegh Tavakoliyan, Mohamad Najar, Parham Memarzadeh and Tadeh Zirakian
Buildings 2025, 15(2), 241; https://doi.org/10.3390/buildings15020241 - 15 Jan 2025
Viewed by 562
Abstract
The finite point method (FPM) is a numerical, mesh-free technique for solving differential equations, particularly in fluid dynamics. While the FPM has been previously applied in solid mechanics to analyze plates under in-plane loading, there remains a notable scarcity of research exploring the [...] Read more.
The finite point method (FPM) is a numerical, mesh-free technique for solving differential equations, particularly in fluid dynamics. While the FPM has been previously applied in solid mechanics to analyze plates under in-plane loading, there remains a notable scarcity of research exploring the out-of-plane analysis of elastic plates using this method. This study thoroughly investigates the elastic FPM analysis of thin plates subjected to transverse loadings, focusing specifically on various boundary conditions (BCs). Boundary conditions represent a significant challenge in the out-of-plane analysis of thin plates within the FPM framework. To address this challenge, the approach incorporates additional nodal points positioned close to each boundary node, supplementing the points distributed throughout the plate’s interior and along its edges. The strong form of the governing equation is employed for the interior points, while the analysis also includes the scenario of a plate resting on boundary columns. Both distributed and concentrated external loads are examined to provide a comprehensive understanding of the behavior under different loading conditions. Furthermore, the optimal placement of the extra boundary nodes is briefly discussed, alongside a focus on the number of nodes within the finite point clouds. An appropriate range for this number is proposed, although the determination of the optimal distance for the extra boundary nodes and the ideal number of cloud points is earmarked for future research. The contribution of this work is to enhance the understanding of the FPM in the context of thin plates, particularly concerning the critical influence of boundary conditions. Full article
(This article belongs to the Special Issue Design, Application, and Performance Assessment of Thin-Walled Structures in Earthquake Engineering)
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18 pages, 4692 KiB  
Article
Horizontal Hysteretic Behavior of Circular Concrete-Filled Steel Tubular Columns with Ultra-Large Diameter-to-Thickness Ratios
by Jun Wei, Bo Hu, Zhenshan Wang and Hao Meng
Buildings 2024, 14(8), 2313; https://doi.org/10.3390/buildings14082313 - 26 Jul 2024
Viewed by 776
Abstract
Thin-walled concrete-filled steel tubes are efficient and economical with promising applications in civil and light industrial buildings. However, their local buckling resistance and deformation capacity are low, which adversely affects the seismic safety of structures. There are relatively few studies on thin-walled concrete-filled [...] Read more.
Thin-walled concrete-filled steel tubes are efficient and economical with promising applications in civil and light industrial buildings. However, their local buckling resistance and deformation capacity are low, which adversely affects the seismic safety of structures. There are relatively few studies on thin-walled concrete-filled steel tubular columns with ultra-large diameter-to-thickness ratios, and there is also a lack of relevant experimental research on them. In this study, horizontal hysteresis tests were conducted on concrete columns with a large diameter-to-thickness ratio. The seismic performances of regular and straight-ribbed specimens were analyzed and compared, including the analyses of load-displacement hysteresis curves, strain distribution, skeleton curves, ductility, and energy dissipation capacity. Using these results, a restoring force model for concrete columns with a large diameter-to-thickness ratio was established. The findings indicate that under horizontal loading, the ductility of concrete columns with a regular thin-walled steel tube is 3.9, with an equivalent viscous damping coefficient of 1.65. Meanwhile, the ultimate bearing capacity is 201 kN. After adding stiffening ribs, the ultimate bearing capacity reaches 266 kN and the ductility coefficient reaches 4.4, resulting in the stiffeners increasing the ultimate bearing capacity and ductility by >30% and 12.8%, respectively. However, they have a less pronounced effect on deformation and energy dissipation. Building on these research outcomes, we propose a dimensionless three-line skeleton curve model and a restoring force model. The calculation results from these models align well with the test results, offering valuable insights for the seismic safety analysis of real-world engineering structures. Full article
(This article belongs to the Special Issue Design, Application, and Performance Assessment of Thin-Walled Structures in Earthquake Engineering)
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16 pages, 1327 KiB  
Article
Imperfection Sensitivity Detection in Pultruded Columns Using Machine Learning and Synthetic Data
by Michail Tzimas and Ever J. Barbero
Buildings 2024, 14(4), 1128; https://doi.org/10.3390/buildings14041128 - 17 Apr 2024
Cited by 2 | Viewed by 991
Abstract
Experimental and theoretical solutions have shown that imperfections in wide-flanged structural columns may reduce the failure load of the column by as much as 30% with respect to that of a perfect column. Therefore, the early detection and prevention of such imperfections, which [...] Read more.
Experimental and theoretical solutions have shown that imperfections in wide-flanged structural columns may reduce the failure load of the column by as much as 30% with respect to that of a perfect column. Therefore, the early detection and prevention of such imperfections, which would likely reduce the load capacity of a structure, are critical for avoiding catastrophic failure. In the present article, we show how machine learning may be used to detect imperfection sensitivity in pultruded columns using observable column deformations occurring at loads as low as 30% of the design load. Abaqus simulations were used to capture the behavior of such columns of various lengths under service load. The deformations found from the simulations were used to train the machine learning algorithm. Similar deformations could be easily collected from in-service columns using inexpensive instrumentation. With over 3000 test cases, 95% accuracy in the correct detection of imperfection sensitivity was found. We anticipate that the proposed machine learning pipeline will enhance structural health monitoring, providing timely warning for potentially compromised structures. Full article
(This article belongs to the Special Issue Design, Application, and Performance Assessment of Thin-Walled Structures in Earthquake Engineering)
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