Leveraging Infrastructure BIM for Life-Cycle-Based Sustainable Road Pavement Management

Oreto, Cristina; Biancardo, Salvatore Antonio; Veropalumbo, Rosa; Veropalumbo, Rosa

doi:10.3390/ma16031047

Cited by 14 publications

(3 citation statements)

References 50 publications

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“…In solving linear programming problems, Ammar [36] suggested an algorithm for solving triangular fuzzy rough integer programming problems; Ghoushchi [37] constructed a method to solve fully fuzzy linear programming based on alpha-cut theory and modified TFN. In addition, scholars have combined fuzzy dispersion measures [38], gray degrees [39], etc. with TFN and innovated TFN.…”

Section: Of 20mentioning

confidence: 99%

Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number

Xu,

Wang,

Kang

et al. 2024

Sustainability

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By choosing the right pavement maintenance plan, we can reduce resource utilization, reduce environmental pollution, and extend road life, which is important for improving social sustainability. At present, the selection of road maintenance programs mostly adopts multiple attribute decision-making (MADA), in particular, the analytic hierarchy process (AHP) is often used. However, this method needs to use expert scoring data, which leads to strong subjectivity and poor reliability. Therefore, it reduces the science of road maintenance scheme selection. In order to reduce the subjectivity of the score and obtain a more suitable road maintenance scheme, this paper applies a multi-criteria decision-making method that characterizes attribute information by triangular fuzzy numbers (TFN) in the discrete decision space. Firstly, we invite experts to score the importance of the selection of pavement preventive maintenance technical solutions with respect to the indicators affecting the selection of solutions. Secondly, the two indicators of similarity and reliability are used to quantitatively evaluate the indicators and programs, respectively. Finally, we compare the weighted programs according to the overall possibility degree of each program. In actual cases, the overall possibility degree of each scheme obtained by this method is 1.0002–0.0477, and the optimal solution is fog sealing technology. The decision-making model applied in this paper can be considered in multiple dimensions, which can scientifically reduce the subjectivity of expert scoring. The best maintenance plan can also be quickly obtained through the simple calculation method in this paper.

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Section: Of 20mentioning

confidence: 99%

Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number

Xu,

Wang,

Kang

et al. 2024

Sustainability

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“…The potential solution for these limitations lies in digitalization [5]. Leveraging the potential of advanced modelling technologies and data-driven solutions, digitalization offers precision, efficiency, and scalability in navigating environmental impact assessments [6].…”

Section: Introductionmentioning

confidence: 99%

Integrating BIM-LCA to Enhance Sustainability Assessments of Constructions

Lima,

Duarte,

Exenberger

et al. 2024

Sustainability

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The need for sustainable practices in the construction sector has never been more pressing, as the sector seeks to mitigate its carbon footprint, water consumption, and waste generation. The integration of building information modeling (BIM) and life-cycle assessment (LCA) emerges as a promising solution for rapidly and accurately evaluating the environmental impact of construction. This integration has the potential to empower stakeholders to make informed decisions, paving the way for a more environmentally conscious future in the construction sector. However, there are still challenges to overcome before this is a standard procedure. Data interoperability and standardized classifications necessitate ongoing research. To understand the potential of BIM–LCA integration in minimizing carbon emissions in constructions, this study focuses on a hypothetical renovation project, unraveling the mechanics of BIM–LCA integration and exploring its challenges and opportunities. While the existing literature acknowledges the potential benefits of BIM–LCA integration, few research efforts delve into the specific issues that practitioners may face. Our approach seeks to fill this gap by presenting a holistic view of the integration process, highlighting the practical steps and addressing the intricacies involved. The results show that the most relevant information when performing a BIM–LCA integration using Revit® (v 2022) and OneClick LCA (OCL) is the name-property given to the materials within Revit®. Despite the advances made by this semi-automated approach, interoperability and data accessibility challenges remain. The results show that automated material identification relies on Revit® classifications and necessitates careful modeling practices to prevent impact-calculation redundancy.

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“…A lack of construction quality control of asphalt layers will often lead to rework, waste materials, and increased cost [1][2][3][4][5]. This is not conducive to the realization of energy saving and emission reduction.…”

Section: Introductionmentioning

confidence: 99%

Construction Quality Control for Rutting Resistance of Asphalt Pavement Using BIM Technology

Zhao,

Ren,

Zhang

et al. 2024

Buildings

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During the course of building asphalt pavement, a lack of quality control will lead to the abandonment of the asphalt mixtures. One of the most common problems with asphalt pavement is rutting. Improving the construction’s quality is an important measure to reduce rutting. The purpose is to ensure the high-temperature durability of asphalt mixtures during the construction workflow to reduce the waste of asphalt mixtures, as well as to provide a methodology for the current monitoring of the quality based on the building information modeling (BIM). Rutting resistance was appraised utilizing the static uniaxial creep examination. Oblique photography technology was used to obtain terrain data. The software of Revit 2016 was used to build the spatial model of highways and bridges. The results show that the size distribution of particles, the asphalt proportion, and the forming specimen’s temperature are the vital elements influencing the high-temperature behavior. The gradation was identified as the most important factor. The second was the asphalt binder content. Gradation variation should be given more consideration during paving using asphalt mixtures. Furthermore, the developed BIM platform can also monitor rutting resistance to reduce rework during construction.

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Leveraging Infrastructure BIM for Life-Cycle-Based Sustainable Road Pavement Management

Cited by 14 publications

References 50 publications

Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number

Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number

Integrating BIM-LCA to Enhance Sustainability Assessments of Constructions

Construction Quality Control for Rutting Resistance of Asphalt Pavement Using BIM Technology

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