Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method
The selection of material solutions is a basic decision-making problem that occurs in engineering issues. It affects the entire life cycle of a building structure, its safe use, maintenance costs, and a need to meet requirements for sustainable development, including recycling. This paper aims at se...
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oai:doaj.org-article:8be279f69f864282965142f2930bb5752021-11-11T18:06:44ZOptimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method10.3390/ma142165531996-1944https://doaj.org/article/8be279f69f864282965142f2930bb5752021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/21/6553https://doaj.org/toc/1996-1944The selection of material solutions is a basic decision-making problem that occurs in engineering issues. It affects the entire life cycle of a building structure, its safe use, maintenance costs, and a need to meet requirements for sustainable development, including recycling. This paper aims at selection of the optimum composition of HPC designed for monolithic girder structures of post-tension bridges. For the analysis, a set of 12 new-generation concretes (HPC) was designed, made, and tested. A full-scope set of evaluation criteria was created and then the optimal alternative was selected. For this purpose, an advanced hybrid algorithm combining EA FAHP (Extent Analysis Fuzzy Analytic Hierarchy Process) and FuzzyTOPSIS (Fuzzy Technique for Order Preference by Similarity to an Ideal Solution) methods was used. The obtained results indicate a possibility for the practical application of the proposed algorithm by decision-making engineering staff. It can also be the basis for further research on application compared to other material and design solutions and, depending on the issue, different combination of aggregated methods.Elżbieta Janowska-RenkasPrzemysław JakielDariusz FabianowskiDamian MatyjaszczykMDPI AGarticleoptimal material selectionhigh-performance concretepost-tensioned girder bridgedurabilityhydrophilic nanosilicahydrophobic nanosilicaTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 6553, p 6553 (2021) |
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optimal material selection high-performance concrete post-tensioned girder bridge durability hydrophilic nanosilica hydrophobic nanosilica Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 |
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optimal material selection high-performance concrete post-tensioned girder bridge durability hydrophilic nanosilica hydrophobic nanosilica Technology T Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85 Elżbieta Janowska-Renkas Przemysław Jakiel Dariusz Fabianowski Damian Matyjaszczyk Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method |
description |
The selection of material solutions is a basic decision-making problem that occurs in engineering issues. It affects the entire life cycle of a building structure, its safe use, maintenance costs, and a need to meet requirements for sustainable development, including recycling. This paper aims at selection of the optimum composition of HPC designed for monolithic girder structures of post-tension bridges. For the analysis, a set of 12 new-generation concretes (HPC) was designed, made, and tested. A full-scope set of evaluation criteria was created and then the optimal alternative was selected. For this purpose, an advanced hybrid algorithm combining EA FAHP (Extent Analysis Fuzzy Analytic Hierarchy Process) and FuzzyTOPSIS (Fuzzy Technique for Order Preference by Similarity to an Ideal Solution) methods was used. The obtained results indicate a possibility for the practical application of the proposed algorithm by decision-making engineering staff. It can also be the basis for further research on application compared to other material and design solutions and, depending on the issue, different combination of aggregated methods. |
format |
article |
author |
Elżbieta Janowska-Renkas Przemysław Jakiel Dariusz Fabianowski Damian Matyjaszczyk |
author_facet |
Elżbieta Janowska-Renkas Przemysław Jakiel Dariusz Fabianowski Damian Matyjaszczyk |
author_sort |
Elżbieta Janowska-Renkas |
title |
Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method |
title_short |
Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method |
title_full |
Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method |
title_fullStr |
Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method |
title_full_unstemmed |
Optimal Selection of High-Performance Concrete for Post-Tensioned Girder Bridge Using Advanced Hybrid MCDA Method |
title_sort |
optimal selection of high-performance concrete for post-tensioned girder bridge using advanced hybrid mcda method |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/8be279f69f864282965142f2930bb575 |
work_keys_str_mv |
AT elzbietajanowskarenkas optimalselectionofhighperformanceconcreteforposttensionedgirderbridgeusingadvancedhybridmcdamethod AT przemysławjakiel optimalselectionofhighperformanceconcreteforposttensionedgirderbridgeusingadvancedhybridmcdamethod AT dariuszfabianowski optimalselectionofhighperformanceconcreteforposttensionedgirderbridgeusingadvancedhybridmcdamethod AT damianmatyjaszczyk optimalselectionofhighperformanceconcreteforposttensionedgirderbridgeusingadvancedhybridmcdamethod |
_version_ |
1718431955928743936 |