Due to the rapid growth of the construction industry’s global environmental impact, especially the environmental impact contribution of bridge structures, it is necessary to study the detailed environmental impact of bridges at each stage of the full life cycle, which can provide optimal data support for sustainable development analysis. In this work, the environmental impact case of a three-tower cable-stayed bridge was analyzed through openLCA software, and more than 23,680 groups of data were analyzed using Markov chain and other research methods. It was concluded that the cable-stayed bridge contributed the most to the global warming potential value, which was mainly concentrated in the operation and maintenance phases. The conclusion shows that controlling the exhaust pollution of passing vehicles and improving the durability of building materials were the key to reducing carbon contribution and are also important directions for future research.
The construction industry of all countries in the world is facing the issue of sustainable development. How to make effective and accurate decision-making on the three pillars (Environment; Economy; Social influence) is the key factor. This manuscript is based on an accurate evaluation framework and theoretical modelling. Through a comprehensive evaluation of six cable-stayed highway bridges in the entire life cycle of five provinces in China (from cradle to grave), the research shows that life cycle impact assessment (LCIA), life cycle cost assessment (LCCA), and social impact life assessment (SILA) are under the influence of multi-factor change decisions. The manuscript focused on the analysis of the natural environment over 100 years, material replacement, waste recycling, traffic density, casualty costs, community benefits and other key factors. Based on the analysis data, the close connection between high pollution levels and high cost in the maintenance stage was deeply promoted, an innovative comprehensive evaluation discrete mathematical decision-making model was established, and a reasonable interval between gross domestic product (GDP) and sustainable development was determined.
The aim of this paper is to establish an international framework for sustainable project management in engineering, to make up the lack of research in this field, and to propose a scientific theoretical basis for the establishment of a new project management system. The article adopts literature review, mathematical programming algorithm and case study as the research method. The literature review applied the visual clustering research method and analyzed the results of 21-year research in this field. As a result, the project management system was found to have defects and deficiencies. A mathematical model was established to analyze the composition and elements of the optimized international project management system. The case study research selected large bridges for analysis and verified the superiority and practicability of the theoretical system. Thus, the goal of sustainable development of bridges was achieved. The value of this re-search lies in establishing a comprehensive international project management system model; truly integrating sustainable development with project management; providing new research frames and management models to promote the sustainable development of the construction industry.
Human beings are now facing the increasingly urgent problem of global ecological environment pollution. To verify the scientific nature of environmental governance by governments of various countries, researchers need to provide a scientific basis and practical support for governments to adjust and formulate new policies and regulatory measures at any time through data analysis. This paper applies visual literature, aggregate analysis, engineering data programming, advanced mathematical science algorithms, and innovation entropy theory, and through this study obtains sustainable impact data from eight Chinese provinces in the 21st century, including environmental, economic, and social impacts. The results show that China’s sustainable data should grow from 2021 to about 2044. After 2045, it will be stable, and there will be negative growth in a short period. The overall life cycle assessment (LCA) and social impact assessment (SIA) continue to remain in the positive range. There will be no negative growth in aggregate data and zero or negative emissions before 2108. The final research data are accurately presented in the form of annual emissions, which provide a scientific and theoretical basis for the government to formulate medium- and long-term ecological regulations and plans.
In order to effectively alleviate the stress concentration phenomenon of the inner-cone bond type anchorages and improve the ultimate anchoring capacity of the anchorages, a new kind of arcuate-cone bond type anchorage for carbon fiber reinforced polymer (CFRP) tendons was designed. The stress distribution curves, load-slip curves and failure modes of anchorages are obtained by tension test of a group of innner cone and arcuate cone anchors with different parameters. According to the test results, the influence of anchorage types, inclination angles and radius of arc on anchorage performance is analyzed. The results show that ultimate anchoring capacity is directly proportional to the slip between anchor cup and grout during loading. The slip of arcuate cone anchorage is larger than that of inner-cone anchorage, and the anchor with smaller inclination angles of anchor cup slips larger. The ultimate anchoring capacity of the novel arcuate cone bond-type anchorages is larger than that of the traditional inner cone anchorages, and the phenomenon of stress concentration on the surface of CFRP tendons is effectively alleviated by using arcuate cone anchorages.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.