Optimized selection of axial pile bearing capacity predictive methods based on multi-criteria decision-making (MCDM) models and database approach

Golafzani, Sara Heidarie; Eslami, Abolfazl; Chenari, Reza Jamshidi; Saghaian, Mohsen Hamed

doi:10.1007/s00500-021-06583-7

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…Questionnaire surveys were then created to specify the level of relative importance of the selection criteria of private partners. In this regard, the fuzzy analytical network No single MCDM model can guarantee the accuracy and robustness of evaluation processes in engineering-related applications [92][93][94]. Each MCDM model has its own advantages and shortcomings depending on the application [95,96].…”

Section: Methodsmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

Mohammed Abdelkader,

Zayed,

El Fathali

et al. 2023

Mathematics

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Public–private partnership (PPP) infrastructure projects have attracted attention over the past few years. In this regard, the selection of private partners is an integral decision to ensure its success. The selection process needs to identify, scrutinize, and pre-qualify potential private partners that sustain the greatest potential in delivering the designated public–private partnership projects. To this end, this research paper proposes an integrated multi-criteria decision-making (MCDM) model for the purpose of selection of the best private partners in PPP projects. The developed model (HYBD_MCDM) is conceptualized based on two tiers of multi-criteria decision making. In the first tier, the fuzzy analytical network process (FANP) is exploited to scrutinize the relative importance of the priorities of the selection criteria of private partners. In this respect, the PPP selection criteria are categorized as safety, environmental, technical, financial, political policy, and managerial. In the second tier, a set of seven multi-criteria decision-making (MCDM) algorithms is leveraged to determine the best private partners to deliver PPP projects. These algorithms comprise the combined compromise solution (CoCoSo), simple weighted sum product (WISP), measurement alternatives and ranking according to compromise solution (MARCOS), combinative distance-based assessment (CODAS), weighted aggregate sum product assessment (WASPAS), technique for order of preference by similarity to ideal solution (TOPSIS), and FANP. Thereafter, the Copeland algorithm is deployed to amalgamate the obtained rankings from the seven MCDM algorithms. Four real-world case studies are analyzed to test the implementation and applicability of the developed integrated model. The results indicate that varying levels of importance were exhibited among the managerial, political, and safety and environmental criteria based on the nature of the infrastructure projects. Additionally, the financial and technical criteria were appended as the most important criteria across the different infrastructure projects. It can be argued that the developed model can guide executives of governments to appraise their partner’s ability to achieve their strategic objectives. It also sheds light on prospective private partners’ strengths, weaknesses, and capacities in an attempt to neutralize threats and exploit opportunities offered by today’s construction business market.

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Section: Methodsmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

Mohammed Abdelkader,

Zayed,

El Fathali

et al. 2023

Mathematics

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“…The model considers the environmental, economic, and social factors associated with the production and use of fiber-reinforced concrete foundation piles. Golafzani et al [14] proposed an optimized selection process that considers various criteria such as accuracy, reliability, and cost-effectiveness based on the criteria using TOPSIS. Muñoz-Medina et al [15] applied Analytic Network Process (ANP) and TOPSIS to select the most suitable retaining wall type using different criteria, including aesthetic, cost, performance, and environmental impact.…”

Section: Introductionmentioning

confidence: 99%

“…Classical MCDM methods such as the AHP have been widely used in the domain of sustainable approaches. As a significant multi-criteria evaluation method, VIKOR is utilized in sustainability-oriented design of civil engineering structures by giving compromise solutions and improving the limitations of the TOPSIS and PROMETHEE methods used in the literature [12,14,15].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Sustainable Slope Stability with Anti-Slide Piles Using an Integrated AHP-VIKOR Methodology

Tuskan

Başarı

2023

Sustainability

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The sustainable design of major civil engineering projects, such as landslide management and slope stability, provides new opportunities for our society regarding the global energy crisis. These sources offer an effective solution to environmental issues and human energy needs. Slope stability, as a critical aspect of ensuring public safety and protection of infrastructure, often leads to disastrous consequences, highlighting the significance of designing effective and sustainable measures to mitigate the risks associated with landslides. Although anti-slide piles have become a widely used method to enhance slope stability, this paper investigates how the Analytic Hierarchy Process (AHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methodologies can be combined to achieve a sustainable design for anti-slide piles, simultaneously considering environmental, economic, safety, and technical factors. Through the integration of AHP-VIKOR and a case study, this paper demonstrates an effective approach to prioritizing sustainability in the design process of anti-slide pile systems, evaluating five main criteria—slope stability, sustainability, anti-slide pile capacity, cost, and ease of construction—and five sub-criteria. The proposed methodology is validated through a case study, wherein various design alternatives for anti-slide piles are evaluated based on sustainable requirements. The results indicate that the slope stability criterion has the highest weight of 0.404, followed by anti-slide pile capacity (0.283), sustainability (0.129), and cost (0.146) criteria. The ease of construction has the lowest weight of 0.038. As a result of the evaluations, it has been seen that, if the sustainability criteria are included in the analyses, the anti-slide pile alternatives are determined in the range of ξ = 0.1–0.3 and s/D = 2.0–3.0, compared to the scenarios where only the economic and technical criteria are satisfied. A pile geometry of diameter, D = 1.00 m, is the most sustainable value within the selected pile spacing intervals, meeting the criteria of slope safety, pile capacity, cost, and ease of construction. This hybrid approach allows for a more balanced consideration of a multi-criteria decision, while considering the sustainability aspects of anti-slide pile selection.

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A novel hybrid model for predicting the end‑bearing capacity of rock‑socketed piles

Zhang,

Xue

2024

Rock Mech Rock Eng

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Optimized selection of axial pile bearing capacity predictive methods based on multi-criteria decision-making (MCDM) models and database approach

Cited by 6 publications

References 20 publications

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

Evaluation of Sustainable Slope Stability with Anti-Slide Piles Using an Integrated AHP-VIKOR Methodology

A novel hybrid model for predicting the end‑bearing capacity of rock‑socketed piles

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