Proposal of Sustainability Indicators for the Design of Small-Span Bridges

Milani, Cleovir José; Piqueras, Víctor Yepes; Kripka, Moacir

doi:10.3390/ijerph17124488

Cited by 6 publications

(6 citation statements)

References 46 publications

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“…The five phases of the bridge will produce environmental pollution, and improving sustainable development is the best choice to reduce pollution [69][70][71] (Intergovernmental Panel on Climate Change).…”

Section: Discussionmentioning

confidence: 99%

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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At present, reducing the impact of the construction industry on the environment is the key to achieving sustainable development. Countries all over the world are using software systems for bridge environmental impact assessment. However, due to the complexity and discreteness of environmental factors in the construction industry, they are difficult to update and determine quickly, and there is a phenomenon of data missing in the database. Most of the lost data are optimized by Monte Carlo simulation, which greatly reduces the reliability and accuracy of the research results. This paper uses Bayesian advanced fuzzy mathematics theory to solve this problem. In the research, a Bayesian fuzzy mathematics evaluation and a multi-level sensitivity priority discrimination model are established, and the weights and membership degrees of influencing factors were defined to achieve comprehensive coverage of influencing factors. With the support of theoretical modelling, software analysis and fuzzy mathematics theory are used to comprehensively evaluate all the influencing factors of the five influencing stages in the entire life cycle of the bridge structure. The results show that the material manufacturing, maintenance, and operation of the bridge still produce environmental pollution; the main source of the emissions exceeds 53% of the total emissions. The effective impact factor reaches 3.01. At the end of the article, a big data sensitivity model was established. Through big data innovation and optimization analysis, traffic pollution emissions were reduced by 330 tonnes. Modeling of the comprehensive research model; application; clearly confirms the effectiveness and practicality of the Bayesian network fuzzy number comprehensive evaluation model in dealing with uncertain factors in the evaluation of the sustainable development of the construction industry. The research results have made important contributions to the realization of the sustainable development goals of the construction industry.

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Section: Discussionmentioning

confidence: 99%

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

et al. 2021

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“…The geometry of the pedestrian bridge consists of a steel-concrete composite structure with two welded I-beams, a concrete slab, and headed stud shear connectors to ensure the interaction between both materials. The choice of using two steel beams is based on previous research that points to this configuration as the lowest environmental impact solution for bridge-type structures [ 4 ]. It is considered a steel ASTM A572 grade 50 for the I-beams, with 350 MPa of yield tensile strength and 200 GPa of modulus of elasticity.…”

Section: Methodsmentioning

confidence: 99%

“…For bridges, the sustainable performance of the structure is directly related to the initial stages of the design, starting from the choice of which material will be used [ 4 ]. In the research of Milani, Yepes, and Kripka [ 5 ], steel-concrete composite bridges are identified as the most suitable solution in terms of costs, lifespan, environmental impact, architecture, and security sensation.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization Applied to the Design of Sustainable Pedestrian Bridges

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Piqueras

Medeiros

et al. 2023

IJERPH

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The demand for more sustainable structures has been shown as a growing tendency, and engineers can use optimization techniques to aid in the design and sizing stage, achieving solutions that minimize its cost and environmental and social impacts. In pedestrian bridges, which are subjected to human-induced vibrations, it is also important to ensure the users’ comfort, besides the security verifications. In this context, the objective of this paper is to perform a multi-objective optimization of a steel-concrete composite pedestrian bridge, minimizing cost, carbon dioxide emissions, and vertical acceleration caused by human walking. For this, the Multi-Objective Harmony Search (MOHS) was applied to obtain non-dominated solutions and compose a Pareto Front. Two scenarios were considered with different unit emissions obtained from a life cycle assessment in the literature. Results show that by increasing 15% the structure cost, the vertical acceleration is reduced from 2.5 to 1.0 m/s2. For both scenarios, the optimal ratio for the web height and total span (Le) lies between Le/20 and Le/16. The web height, the concrete strength, and the slab thickness were the design variables with more influence on the value of the vertical acceleration. The Pareto-optimal solutions were considerably sensitive to the parameters varied in each scenario, changing concrete consumption and dimensions of the welded steel I-beam, evidencing the importance of carrying out a sensitivity analysis in optimization problems.

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“…When multiple criteria are involved for the assessment of the conflicting dimensions of sustainability, the use of multi-criteria decision making (MCDM) techniques has proven to be the most suitable approach compared to other methods. MCDM techniques allow the decision maker to evaluate complex problems involving multiple and divergent criteria based on subjective judgments of a panel of experts or stakeholders affected by the decision [5].…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

“…It is based on three interdependent aspects: economic development, social development, and environmental protection. However, the existing state of science lacks an objective and universal methodology to assess the sustainability of specific infrastructure projects adequately [5].…”

Section: Introductionmentioning

confidence: 99%

Study of Alternatives for the Design of Sustainable Low-Income Housing in Brazil

et al. 2021

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Despite insufficient housing facilities, particularly in developing countries, construction systems are generally selected intuitively or based on conventional solutions sanctioned by practice. The present study aims to evaluate different options for the design of low-income housing in Brazil by integrating the life cycle assessment (LCA) into the decision-making process. To achieve this objective, three single-family projects with different construction systems were selected and analyzed. The most sustainable design was selected through the analytic hierarchy process (AHP). The considered parameters, which were obtained through a survey with professionals and customers, included cost, environmental impact, thermal comfort, construction time, and cultural acceptance. LCA and life cycle cost assessment (LCCA) were performed with the frontier’s system considering the cradle-to-gate cycle, which included the extraction of raw materials, manufacture of building materials, and housing construction. The projects were modelled using Autodesk Revit software with the Tally application for LCA evaluation. The results indicated that light steel frame houses present a better behavior than other conventional alternatives, and the integration of building information modelling with LCA and LCCA in the design phase can lead to the development of more sustainable houses.

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Proposal of Sustainability Indicators for the Design of Small-Span Bridges

Cited by 6 publications

References 46 publications

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

Life Cycle Assessment of Bridges Using Bayesian Networks and Fuzzy Mathematics

Multi-Objective Optimization Applied to the Design of Sustainable Pedestrian Bridges

Study of Alternatives for the Design of Sustainable Low-Income Housing in Brazil

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