Abstract
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.
Highlights
The building industry, as an important basic industry of the national economy, has a pivotal role in improving human settlements, managing the ecological environment, and developing a circular economy [1]
To better apply fuzzy mathematics to study the uncertain data of bridges, careful comparison and consideration have been made in the selection of bridge cases: bridges have similar structural types, similar lengths, the same construction schemes, and the same purpose, and the designed lifetime is
The contribution to environmental emissions of secondary use is mainly caused by the steel recycling and refining
Summary
The building industry, as an important basic industry of the national economy, has a pivotal role in improving human settlements, managing the ecological environment, and developing a circular economy [1]. The construction industry, along with power generation and automobile use, is one of the three major sources of greenhouse gas emissions threatening the Earth’s climate [2]. Of global energy consumption and carbon emissions [3,4]. Governments around the world are adopting and implementing various financial regulations and incentives to mitigate the impact of the built environment [5]. The International Organization for Standardization and the International Society for Environmental Toxicology and Chemistry have defined a life cycle impact assessment framework and a list of life cycle impact parameters with 18 categories [6].
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