Modern Material and Methods for Infrastructures

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3489

Special Issue Editors

Department of Civil Engineering, University of Engineering and Technology, Taxila, Rawalpindi 46600, Pakistan
Interests: composite materials; fiber reinforced polymers; glass fiber, geoplymers; engineering cementitious materials; numerical methods for materials
School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK
Interests: steel structures; fire engineering; steel connections; earthquake engineering; robustness of structures
Department of Civil, Environmental and Geodetic Engineering, Ohio State University, USA
Interests: steel connections and steel-concrete composite structures; linear and nonlinear (static and dynamic) finite element analysis

Special Issue Information

Dear Colleagues,

Engineers have been continuously striving to improve the efficiency of conventional material, solutions, and the testing methodology used for infrastructure. In recent times, with advances in material science, different composite materials have been introduced in the construction industry. The traditional methods of underlying theories and testing methods cannot be performed. Additionally, in other places, these modern materials may be exposed to extreme natural or non-natural loading circumstances during their service life, which can cause tremendous fatalities and property loss in terms of infrastructure.

The relevant topics include but are not limited to:

  • Innovative materials for infrastructures: cement replacement material, strengthening materials (HFRC and FRP, etc);
  • Composite materials for geotechnical engineering;
  • Engineering cementitious material;
  • Modern theory for composite materials;
  • Computational mechanics;
  • Monitoring of infrastructures through novel techniques;
  • Artificial Intelligence for infrastructures;
  • Soft computing methods for infrastructures.

Dr Afaq Ahmad
Dr. Mohamed Suleiman
Dr Mohamed Shaheen
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. Infrastructures 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 1800 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

  • modern methods
  • innovative material
  • construction methodology
  • artificial intelligence
  • composite materials
  • monitoring of infrastructure

Published Papers (1 paper)

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Research

15 pages, 2406 KiB  
Article
Predicting Pavement Condition Index Using Fuzzy Logic Technique
Infrastructures 2022, 7(7), 91; https://doi.org/10.3390/infrastructures7070091 - 02 Jul 2022
Cited by 10 | Viewed by 2549
Abstract
The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. The process of classifying pavement distress is usually performed by visual inspection of the pavement surface or using data collected by automated distress measurement equipment. Fuzzy [...] Read more.
The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. The process of classifying pavement distress is usually performed by visual inspection of the pavement surface or using data collected by automated distress measurement equipment. Fuzzy mathematics provides a convenient tool for incorporating subjective analysis, uncertainty in pavement condition index, and maintenance-needs assessment, and can greatly improve consistency and reduce subjectivity in this process. This paper aims to develop a fuzzy logic-based system of pavement condition index and maintenance-needs evaluation for a pavement road network by utilizing pavement distress data from the U.S. and Canada. Considering rutting, fatigue cracking, block cracking, longitudinal cracking, transverse cracking, potholes, patching, bleeding, and raveling as input variables, the variables were fuzzified into fuzzy subsets. The fuzzy subsets of the variables were considered to have triangular membership functions. The relationships between nine pavement distress parameters and PCI were represented by a set of fuzzy rules. The fuzzy rules relating input variables to the output variable of sediment discharge were laid out in the IF–THEN format. The commonly used weighted average method was employed for the defuzzification procedure. The coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE) were used as the performance indicator metrics to evaluate the performance of analytical models. Full article
(This article belongs to the Special Issue Modern Material and Methods for Infrastructures)
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