Special Issue "Innovative Materials and Structural Optimization for Resilient Infrastructure"

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

Deadline for manuscript submissions: 15 November 2021.

Special Issue Editor

Dr. Muntasir Billah
E-Mail Website
Guest Editor
Department of Civil Engineering, Lakehead University, Thunder Bay, ON P7B 7E1, Canada
Interests: development and application of advanced and novel materials in civil engineering structures and experimental investigation; advances in numerical and experimental earthquake engineering; development of advance modeling tools and techniques; structural optimization; performance-based design, risk and vulnerability assessment; structural design against multiple hazards; machine learning in structural engineering

Special Issue Information

Dear Colleagues,

Major natural hazard events around the world, along with the aging and deterioration of infrastructures, keep increasing the need for the development of innovative materials and the optimization of structures for improved infrastructure resiliency. These natural hazards cause not only physical damage, but cascading social, environmental, and economic impacts that impair community resilience. Innovative materials, alongside structural optimization, is an area that has seen major developments due to the availability of robust numerical simulation frameworks, large experimental facilities, development of advanced materials and construction techniques, optimization frameworks and tools. Despite progress being made, there are many challenges that have yet to be addressed.

This Special Issue invites papers presenting numerical and/or experimental research on innovative materials and structural optimization for resilient buildings and bridges. The purpose of this Special Issue is to promote a wider use of advanced materials and optimization technologies in the design industry and to improve the resilience of our infrastructures. We invite research and development on innovative and advanced materials for resilient infrastructure designs, as well as the use of numerical optimization techniques to design material-efficient or cost-effective structures. The main goal of this issue is to generate a forum for the current state of knowledge, as well as future research directions, in the overall area of innovative materials and structural optimization.

Dr. Muntasir Billah
Guest Editor

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 papers will be 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 1900 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

  • Innovative materials
  • Smart materials
  • High-performance materials
  • Structural optimization
  • Design optimization
  • Resilient infrastructure
  • Sustainable infrastructure
  • Reliability-based optimization

Published Papers (1 paper)

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Research

Article
CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms
Sustainability 2021, 13(14), 8092; https://doi.org/10.3390/su13148092 - 20 Jul 2021
Viewed by 391
Abstract
Concrete-filled steel tubular columns have garnered wide interest among researchers due to their favorable structural characteristics. To attain the best possible performance from concrete-filled steel tubular columns while reducing the cost, the use of optimization algorithms is indispensable. In this regard, metaheuristic algorithms [...] Read more.
Concrete-filled steel tubular columns have garnered wide interest among researchers due to their favorable structural characteristics. To attain the best possible performance from concrete-filled steel tubular columns while reducing the cost, the use of optimization algorithms is indispensable. In this regard, metaheuristic algorithms are finding increasing application in structural engineering due to their high efficiency. Various equations that predict the ultimate axial load-carrying capacity (Nu) of concrete-filled steel tubular columns are available in design codes as well as in the research literature. However, most of these equations are only applicable within certain parameter ranges. To overcome this limitation, the present study adopts a recently developed set of equations for the prediction of Nu that have broader ranges of applicability. Furthermore, a newly developed metaheuristic algorithm, called the social spider algorithm, is introduced and applied in optimizing the cross-section of circular concrete-filled steel tubular columns. The improvement of the structural dimensioning under the Nu constraint is demonstrated. The objective underlying the optimization presented here is to minimize the CO2 emission and cost associated with the fabrication of concrete-filled steel tubular stub columns. In this context, the relationships between the cross-sectional dimensioning of circular concrete-filled steel tubular columns and the associated CO2 emissions and cost are characterized and visualized. Full article
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