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Sustainability
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Damage Detection of Steel Structures with Advanced Computational Techniques
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Damage Detection of Steel Structures with Advanced Computational Techniques

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 6878

Special Issue Editors

Prof. Dr. Dalei Wang

E-Mail Website
Guest Editor
College of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: fatigue of steel structures; structural performance intelligence perception; bridge inspection and monitoring; structural topological optimization; vehicle-induced loads; structural wind engineering
Prof. Dr. Tao Chen

E-Mail Website
Guest Editor
College of Civil Engineering, Tongji University, Shanghai 200092, China
Interests: fatigue and fracture; marine structures; FRP composites
Prof. Dr. Qing Zhang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Tongji University, Shanghai 201804, China
Interests: FEA of wharf equipment, construction machinery and offshore equipment; structural optimization; topological optimization; structural load identification; fault diagnosis and life prediction
Dr. Yue Pan

E-Mail Website
Guest Editor
College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China
Interests: machine learning; computer vision; structural inspection robotics; structural health monitoring

Special Issue Information

Dear Colleagues,

Steel materials are widely applied in all kinds of infrastructure and industrial equipment systems, such as railway or highway bridges, offshore structures, pipelines, heavy lifting machinery, etc. In harsh environments and service conditions, different levels of corrosion, fatigue, and excessive deformation will lead to the damage and performance degradation of steel structural nodes, components, or even whole systems. Therefore, the damage of steel structures is a key aspect of the sustainability of infrastructure and industrial equipment systems, and significantly affects the life cycle performance. In turn, it has a far-reaching impact on the sustainable development of social safety and economy. The main purpose of this Special Issue is to present an international perspective of new theories, techniques and methods related to the damage identification of steel structures with advanced sensing and computing technologies.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Experimental, numerical, and analytical studies on damage detection in steel structures;
  • Novel sensors, instrumentations, and robotic systems for damage detection in steel structures;
  • Advanced parameter/dynamical load identification and signal processing techniques for damage detection;
  • Long-term behavior under severe environmental exposures and sustained loading (e.g., corrosion fatigue);
  • Retrofitting solutions using novel approaches to damage structures, for example, FRP/SMA (e.g., bond behavior, pre-stressing methods);
  • Multi-axis damage and fatigue studies of structural joints;
  • Ultimate load capacity and reliability of mechanical structures;
  • Multi-scale/multi-resolution studies of failure criteria and damage evolution;
  • Simulation and prediction methodology for damage-induced steel structural performance deterioration;
  • Damage description, identification, and localization for steel structures with multi-source data fusion;
  • Research on steel damage multimodal datasets and standardization for machine learning.

We look forward to receiving your contributions.

Prof. Dr. Dalei Wang
Prof. Dr. Tao Chen
Prof. Dr. Qing Zhang
Dr. Yue Pan
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. Sustainability 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

  • damage detection
  • steel structure
  • corrosion
  • fatigue
  • failure criterion
  • deep learning
  • machine learning
  • data fusion
  • numerical simulation
  • degradation model

Published Papers (4 papers)

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Research

15 pages, 5079 KiB  
Article
Study on Stress Intensity Factor of the Pit-Crack Model for Portal Crane Girders
by Feng Zhang, Xin Wang, Rumin Teng, Xiaoguang Guo and Yuanyou Wang
Sustainability 2023, 15(9), 7621; https://doi.org/10.3390/su15097621 - 6 May 2023
Cited by 1 | Viewed by 1460
Abstract
In shipbuilding gantry cranes in long-term service in the coastal humid salt-spray environment, the main beam is affected in many places by corrosion fatigue-formed corrosion pits, affecting the structural strength of the main beam. This paper focuses on the impact of corrosion-generated pits [...] Read more.
In shipbuilding gantry cranes in long-term service in the coastal humid salt-spray environment, the main beam is affected in many places by corrosion fatigue-formed corrosion pits, affecting the structural strength of the main beam. This paper focuses on the impact of corrosion-generated pits under the conditions of crack nucleation. Corrosion fatigue crack nucleation is a local damage evolution process and the stress intensity factor criterion is one of the critical conditions to discern whether a crack sprouts at the corrosion pit. This paper establishes a corrosion pit-crack model based on the overall finite element model of the portal crane, and uses ANSYS software to simulate the stress intensity factor under complex boundary conditions. The results show that the different sizes and depth-to-diameter ratio of the pits greatly affect the value of the stress intensity factor and the stress concentration phenomenon may be the main factor causing the emergence of cracks; the change in the size of the pits on the stress intensity factor is not obvious, but with the increase in the depth-to-diameter ratio of the pits, the stress intensity factor of the pit-crack model is significantly increased. According to the hypothesis of semi-ellipsoidal pitting, the relationship between the stress intensity factor and the stress concentration factor at the pit is proposed, and its calculation results are within 5% error compared with the finite element method, and it is found that the effect of the etch pit on the stress intensity factor is positively correlated with the stress concentration factor; with the increase in the etch pit depth–diameter ratio, the crack budding location changes with the change in the stress concentration location, and the crack is more likely to be generated from the shoulder of the etch pit when the depth–diameter ratio of etch pit exceeds 1. Full article
(This article belongs to the Special Issue Damage Detection of Steel Structures with Advanced Computational Techniques)
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45 pages, 12210 KiB  
Article
Parametric Study on the Behavior of Steel Tube Columns with Infilled Concrete—An Analytical Study
by Fattouh M. F. Shaker, Mohammed S. Daif, Ahmed Farouk Deifalla and Nehal M. Ayash
Sustainability 2022, 14(21), 14024; https://doi.org/10.3390/su142114024 - 28 Oct 2022
Cited by 4 | Viewed by 1792
Abstract
Concrete-filled steel tube (CFST) columns are used in tall buildings and bridges, and they provide more rigidity and higher bearing capacity, but buckling affects their behavior. There is an exceptional need to study the behavior of these columns under various conditions. The numerical [...] Read more.
Concrete-filled steel tube (CFST) columns are used in tall buildings and bridges, and they provide more rigidity and higher bearing capacity, but buckling affects their behavior. There is an exceptional need to study the behavior of these columns under various conditions. The numerical method is beneficial in supplementing the experimental works and is used to explore the effects of various parameters because of the limitations in cost, apparatus, and time of the experimental program. The various parameters, such as the different slenderness ratios, i.e., column-height-to-cross-section-dimension (H/D), different steel-tube-thickness-to-column-dimension (D/t), and different compressive strength of concrete to yield strength of steel tube ratio (fc/fy) under concentric axial loading are considered in this current study. Firstly, a finite element model used the “ANSYS” software program and was constructed to validate the results of the experimental works. The extensive numerical models were carried out to extensively widen the study in this field. The numerical work was conducted on sixty-four specimens. Moreover, the analytical calculations from the different international codes/standards were compared with the numerical results to test their reliability in predicting the ultimate carrying loads. The study provided results that show the improvement effect of CFST columns with the high compressive strength of infilled concrete, while no remarkable enhancement effect with the high yield strength of steel tube was observed. Increasing the columns’ diameter is more effective in enhancing the load capacity (about three times more) than increasing the tube thickness (about 1.3 times). Ring stiffeners for long CFST columns (H/D > 12) do not lead to any enhancement of the column behavior due to yielding occurring firstly at the location of the rings. ECP205-2007 is the most conservative design code in predicting the load capacity of CFST columns, while the AIJ design code is good at predicting the ultimate load failure compared to the other codes/standards. Eurocode 4 provides underestimation values of the load-carrying capacity of CFST columns. Full article
(This article belongs to the Special Issue Damage Detection of Steel Structures with Advanced Computational Techniques)
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13 pages, 4574 KiB  
Article
Study of Periodical Temperature Change Induced Deformation of an Inclined Steel Arch Bridge Exposed to Actual Environment Based on Synchronous Multi-Member Thermal Simulation
by Huizhu Yang, Xinying Zhao, Lilei Fu, Xin Ruan, Yue Li and Dixin Chen
Sustainability 2022, 14(16), 10042; https://doi.org/10.3390/su141610042 - 13 Aug 2022
Viewed by 1376
Abstract
Structures exposed to the environment are affected by periodically changing temperature, and will undergo reciprocating deformation under the action of actual temperature. Steel structures are sensitive to temperature, and the effects on structure induced by changing temperatures are even more significant. The accurate [...] Read more.
Structures exposed to the environment are affected by periodically changing temperature, and will undergo reciprocating deformation under the action of actual temperature. Steel structures are sensitive to temperature, and the effects on structure induced by changing temperatures are even more significant. The accurate calculation of temperature effects is very important to enable engineers to understand the state of a structure. However, the value of the temperature load in the current specification is set as constant, which can neither reflect the real state of the temperature field, nor its time-dependence in the actual environment. In this paper, an inclined steel arch bridge is chosen as an engineering example in order to analyze the actual temperature field of the structure in different seasons, and its deformation under the action of temperature, and the effects are compared with results based on other specifications. The comparison results show the synchronization of thermal deformation among different components and indicate the conservation of the specification. In order to further determine the most unfavorable situation under the effect of temperature changes, the deformation of multiple examples are compared, according to a standard load combination method, which verifies the feasibility of the load combination method in the calculation of temperature effects. It is found that the result can reflect, to a certain extent, the combined effect of the temperature changes of different components. Full article
(This article belongs to the Special Issue Damage Detection of Steel Structures with Advanced Computational Techniques)
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20 pages, 5939 KiB  
Article
Fatigue Durability Analysis for Suspenders of Arch Bridge Subjected to Moving Vehicles in Southwest China
by Zimo Zhang, Hua Wang, Tao Yang, Longlin Wang and Xirui Wang
Sustainability 2022, 14(16), 10008; https://doi.org/10.3390/su141610008 - 12 Aug 2022
Cited by 2 | Viewed by 1447
Abstract
An analysis of the effect of vehicle loads on the fatigue life of local arch bridge suspenders in Southwest China was conducted by generating vehicle statistics, creating a fatigue vehicle model, and developing a fatigue life prediction method: First, the Midas model of [...] Read more.
An analysis of the effect of vehicle loads on the fatigue life of local arch bridge suspenders in Southwest China was conducted by generating vehicle statistics, creating a fatigue vehicle model, and developing a fatigue life prediction method: First, the Midas model of an arch bridge was established, a random vehicle flow simulation was conducted in the Monte Carlo method, and the stress spectrum of the suspenders was calculated. Secondly, ANSYS software was used to estimate the fatigue life of the suspenders, and the accuracy of the proposed method was verified. Finally, the method was applied to the practical project of the Dafeng River Bridge in Southwest China. The results show that this method can predict the fatigue life of suspenders. It can be applied in the bridge health monitoring software system to realize real-time fatigue damage monitoring of the fatigue damage of suspenders, which could be used to predict the fatigue lives of bridges in Southwest China and provide references for the replacement of suspenders. Full article
(This article belongs to the Special Issue Damage Detection of Steel Structures with Advanced Computational Techniques)
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