Simulation- and Modelling-Aided Structural Integrity and Safety

A special issue of Modelling (ISSN 2673-3951). This special issue belongs to the section "Modelling in Engineering Structures".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 16552

Special Issue Editors


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Guest Editor
Department of Civil Engineering, University of Porto, 4200-465 Porto, Portugal
Interests: numerical modeling of engineering structures and structural components (offshore applications, steel bridges, pressure vessels, pipelines, wind turbine towers, etc.); mathematical problems in fatigue and fracture; mechanics of solids and structures; metals materials and structures; numerical fracture mechanics and crack growth; local approaches; finite element methods in structural mechanics applications; computer-aided structural integrity
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Guest Editor
Department of Bridge Engineering, School of Transportation, Southeast University, Nanjing 210096, China
Interests: structural condition assessment; structural health monitoring; novel sensoring; offshore structures; offshore engineering
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Guest Editor
National Institute of Technology Silchar, Assam, India
Interests: reliability and risk analysis; optimization under uncertainty; uncertainty quantification; infrastructure and community resilience decision; numerical methods; reduction machine/deep learning data-driven modeling

Special Issue Information

Dear Colleagues,

The Special issue (SI) covers a wide range of modern trends in the study of the integrity and safety of engineering materials and structures based on computational simulation and modeling. In this SI, several topics are covered, such as design, safety, reliability, and integrity of engineering materials and structures. This Special Issue focuses on issues related with structural engineering and mechanics, structural integrity, durability, stability, safety, probabilistic modeling, advanced mathematical tools, engineering design, fatigue, fracture mechanics, damage mechanics, analytical and numerical simulation, structural modeling, and other related areas. We also invite you to submit articles on the use of artificial intelligence (AI) tools/algorithms in the integrity and safety assessments and analyses of engineering materials and structures.

Scientists and design engineers have marginally explored the potential of computational tools supported by artificial intelligence (AI) algorithms in analyses of structural safety and integrity, as well as in the damage detection and assessment of engineering structures, both in the context of supporting experimental tests as well as in fatigue computational modeling. Increasingly, artificial intelligence algorithms (AI) for image processing collected in structural inspections, as well as the use of these same algorithms for fatigue damage assessment and in computational fracture mechanics methods seem to be an effective tool for engineering materials and structure design and analysis.

In this sense, this Special Issue will contribute to the scientific and technological advancement in the use of computational tools/algorithms used for simulation and modeling of structural integrity, structural safety, fatigue, fracture mechanics, and design of engineering materials and structures.

The guest editors of this Special Issue on structural integrity and safety aided by simulation and modeling hope to obtain the contribution of engineers, metallurgists, scientists, among others, allowing for a very multidisciplinary discussion.

Dr. José A.F.O. Correia
Prof. Shun-Peng Zhu
Dr. Zhongxiang Liu
Dr. Haohui Xin
Prof. Subhrajit Dutta
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. Modelling 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 1000 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

  • Computer-aided structural integrity
  • Structural safety
  • Reliability and risk analysis
  • Fatigue behavior modeling and simulation
  • Computational Fracture Mechanics
  • Fatigue Crack Growth Modelling
  • Probabilistic Fatigue and Fracture
  • Damage Detection and Assessment
  • Applications and Engineering Design

Published Papers (5 papers)

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Research

12 pages, 1585 KiB  
Article
Cost Optimization of Reinforced Concrete Section According to Flexural Cracking
by Primož Jelušič
Modelling 2022, 3(2), 243-254; https://doi.org/10.3390/modelling3020016 - 25 May 2022
Cited by 1 | Viewed by 2163
Abstract
A series of distributed flexural cracks develop in reinforced concrete flexural elements under the working load. The control of cracking in reinforced concrete is an important issue that must be considered in the design of reinforced concrete structures. Crack width and spacing are [...] Read more.
A series of distributed flexural cracks develop in reinforced concrete flexural elements under the working load. The control of cracking in reinforced concrete is an important issue that must be considered in the design of reinforced concrete structures. Crack width and spacing are influenced by several factors, including the steel percentage, its distribution in the concrete cross-section, the concrete cover, and the concrete properties. In practice, however, a compromise must be made between cracking, durability, and ease of construction and cost. This study presents the optimal design of a reinforced concrete cross-section, using the optimization method of mixed-integer nonlinear programming (MINLP) and the Eurocode standard. The MINLP optimization model OPTCON was developed for this purpose. The model contains the objective function of the material cost considering the crack width requirements. The crack width requirements can be satisfied by direct calculation or by limiting the bar spacing. Due to the different crack width requirements, two different economic designs of reinforced concrete sections were proposed. The case study presented in this study demonstrates the value of the presented optimization approach. A direct comparison between different methods for modelling cracking in reinforced concrete cross-sections, which has not been done before, is also presented. Full article
(This article belongs to the Special Issue Simulation- and Modelling-Aided Structural Integrity and Safety)
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18 pages, 735 KiB  
Article
Parametric Model Order Reduction of Guided Ultrasonic Wave Propagation in Fiber Metal Laminates with Damage
by Nanda Kishore Bellam Muralidhar, Natalie Rauter, Andrey Mikhaylenko, Rolf Lammering and Dirk A. Lorenz
Modelling 2021, 2(4), 591-608; https://doi.org/10.3390/modelling2040031 - 03 Nov 2021
Cited by 4 | Viewed by 3437
Abstract
This paper focuses on parametric model order reduction (PMOR) of guided ultrasonic wave propagation and its interaction with damage in a fiber metal laminate (FML). Structural health monitoring in FML seeks to detect, localize and characterize the damage with high accuracy and minimal [...] Read more.
This paper focuses on parametric model order reduction (PMOR) of guided ultrasonic wave propagation and its interaction with damage in a fiber metal laminate (FML). Structural health monitoring in FML seeks to detect, localize and characterize the damage with high accuracy and minimal use of sensors. This can be achieved by the inverse problem analysis approach, which employs the signal measurement data recorded by the embedded sensors in the structure. The inverse analysis requires us to solve the forward simulation of the underlying system several thousand times. These simulations are often exorbitantly expensive and trigger the need for improving their computational efficiency. A PMOR approach hinged on the proper orthogonal decomposition method is presented in this paper. An adaptive parameter sampling technique is established with the aid of a surrogate model to efficiently update the reduced-order basis in a greedy fashion. A numerical experiment is conducted to illustrate the parametric training of the reduced-order model. The results show that the reduced-order solution based on the PMOR approach is accurately complying with that of the high fidelity solution. Full article
(This article belongs to the Special Issue Simulation- and Modelling-Aided Structural Integrity and Safety)
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24 pages, 47080 KiB  
Article
EC3-Compatible Methods for Analysis and Design of Steel Framed Structures
by Sofia Antonodimitraki, Pavlos Thanopoulos and Ioannis Vayas
Modelling 2021, 2(4), 567-590; https://doi.org/10.3390/modelling2040030 - 03 Nov 2021
Cited by 1 | Viewed by 3022
Abstract
The behaviour of steel structures is affected by two nonlinearities—the geometric and material nonlinearity—and by the unavoidable presence of imperfections. To evaluate the ultimate capacity of a structure, these effects should be taken into consideration during the design process, either explicitly in the [...] Read more.
The behaviour of steel structures is affected by two nonlinearities—the geometric and material nonlinearity—and by the unavoidable presence of imperfections. To evaluate the ultimate capacity of a structure, these effects should be taken into consideration during the design process, either explicitly in the analysis or implicitly through the verification checks. In this context, Eurocode 3 provides several design approaches of different complexity and accuracy. The advantages and disadvantages of these approaches are discussed. Five different methods in conformity with the Eurocode provisions are applied for the design of four moment resisting steel frames of varying slenderness. The influence of nonlinearities and imperfections in respect to the slenderness of the structure is illustrated. The examined methods are compared in terms of the predicted ultimate capacity and their efficiency is assessed against the most accurate between them, i.e., an advanced geometrically and materially nonlinear analysis. It is shown that considerable differences arise between the methods. Nevertheless, except for the commonly used 2nd order analysis followed by cross-section verifications, the remaining methods are mostly on the safe side. Full article
(This article belongs to the Special Issue Simulation- and Modelling-Aided Structural Integrity and Safety)
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15 pages, 1746 KiB  
Article
A Mixed Flow Analysis of Sewer Pipes with Different Shapes Using a Non-Oscillatory Two-Component Pressure Approach (TPA)
by David Khani, Yeo Howe Lim and Ahmad Malekpour
Modelling 2021, 2(4), 467-481; https://doi.org/10.3390/modelling2040025 - 09 Oct 2021
Cited by 3 | Viewed by 2691
Abstract
This paper aimed to justify the performance of a non-oscillatory TPA-based model proposed by the authors for capturing transient mix flow in sewer systems consisting of a variety of pipe shapes. The model utilizes a first-order Godunov Finite volume numerical scheme in which [...] Read more.
This paper aimed to justify the performance of a non-oscillatory TPA-based model proposed by the authors for capturing transient mix flow in sewer systems consisting of a variety of pipe shapes. The model utilizes a first-order Godunov Finite volume numerical scheme in which a Harten–Lax–van Leer (HLL) Riemann solver was used for calculating the fluxes at the cells’ boundaries. The spurious numerical solution associated with the transient mix flow analysis is suppressed by enhancing the numerical viscosity of the scheme when the pipe pressurization is imminent. Due to the lack of experimental data for systems with pipe shapes other than circular and rectangular, a hypothetical pipe system for which analytical solutions exist was employed to verify the model performance. The results reveal that for all pipe shapes considered, the model provides oscillation-free solutions even at a high acoustic speed of 1400 m/s. It is also observed that the numerical results are in perfect agreement with the analytical solution. The obtained results conclude that the proposed model can be utilized to capture transient responses of sewer systems with any pipe shape. Full article
(This article belongs to the Special Issue Simulation- and Modelling-Aided Structural Integrity and Safety)
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15 pages, 3002 KiB  
Article
A Comparative Study on the Efficiency of Reliability Methods for the Probabilistic Analysis of Local Scour at a Bridge Pier in Clay-Sand-Mixed Sediments
by Jafar Jafari-Asl, Mohamed El Amine Ben Seghier, Sima Ohadi, You Dong and Vagelis Plevris
Modelling 2021, 2(1), 63-77; https://doi.org/10.3390/modelling2010004 - 07 Feb 2021
Cited by 15 | Viewed by 3699
Abstract
In this work, the performance of reliability methods for the probabilistic analysis of local scour at a bridge pier is investigated. The reliability of bridge pier scour is one of the important issues for the risk assessment and safety evaluation of bridges. Typically, [...] Read more.
In this work, the performance of reliability methods for the probabilistic analysis of local scour at a bridge pier is investigated. The reliability of bridge pier scour is one of the important issues for the risk assessment and safety evaluation of bridges. Typically, the depth prediction of bridge pier scour is estimated using deterministic equations, which do not consider the uncertainties related to scour parameters. To consider these uncertainties, a reliability analysis of bridge pier scour is required. In the recent years, a number of efficient reliability methods have been proposed for the reliability-based assessment of engineering problems based on simulation, such as Monte Carlo simulation (MCS), subset simulation (SS), importance sampling (IS), directional simulation (DS), and line sampling (LS). However, no general guideline recommending the most appropriate reliability method for the safety assessment of bridge pier scour has yet been proposed. For this purpose, we carried out a comparative study of the five efficient reliability methods so as to originate general guidelines for the probabilistic assessment of bridge pier scour. In addition, a sensitivity analysis was also carried out to find the effect of individual random variables on the reliability of bridge pier scour. Full article
(This article belongs to the Special Issue Simulation- and Modelling-Aided Structural Integrity and Safety)
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