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Probabilistic sustainability design of structural concrete components under climate change
Highlights Structural sustainability is defined and characterized by conditional probability. Interaction between structural reliability and environmental impacts is quantified. Environmental impact allocation based on time-dependent resistance is established. Component reuse satisfies current and future safety and environmental requirements.
Abstract A probabilistic sustainability design method for quantifying the benefits from sustainable structural strategies under climate change is put forward in this study. To help curb the vicious circle of increasing structural and environmental degradation, the sustainable probability is defined as a conditional probability, and the interaction between structural reliability and environmental impacts is quantified. Global warming potential (GWP) is adopted as the key indicator for environmental impacts. By analyzing the trends of climate change, the GWP limit is set to match the prediction of structural resistance degradation. A new environmental impact allocation rule based on time-dependent resistance is put forward to characterize the environmental benefits of the reuse strategy. With help of the durability life prediction method for reusable components and the stochastic model for time-dependent resistance, the calculation method for sustainable probability is established, catering for both reusable and non-reusable structural components. With the Monte Carlo simulation, the proposed sustainability design process is implemented in a numerical example. Results show that the reusable structural concrete component design can simultaneously satisfy the current and future safety and environmental requirements, meeting the demand for sustainable development.
Probabilistic sustainability design of structural concrete components under climate change
Highlights Structural sustainability is defined and characterized by conditional probability. Interaction between structural reliability and environmental impacts is quantified. Environmental impact allocation based on time-dependent resistance is established. Component reuse satisfies current and future safety and environmental requirements.
Abstract A probabilistic sustainability design method for quantifying the benefits from sustainable structural strategies under climate change is put forward in this study. To help curb the vicious circle of increasing structural and environmental degradation, the sustainable probability is defined as a conditional probability, and the interaction between structural reliability and environmental impacts is quantified. Global warming potential (GWP) is adopted as the key indicator for environmental impacts. By analyzing the trends of climate change, the GWP limit is set to match the prediction of structural resistance degradation. A new environmental impact allocation rule based on time-dependent resistance is put forward to characterize the environmental benefits of the reuse strategy. With help of the durability life prediction method for reusable components and the stochastic model for time-dependent resistance, the calculation method for sustainable probability is established, catering for both reusable and non-reusable structural components. With the Monte Carlo simulation, the proposed sustainability design process is implemented in a numerical example. Results show that the reusable structural concrete component design can simultaneously satisfy the current and future safety and environmental requirements, meeting the demand for sustainable development.
Probabilistic sustainability design of structural concrete components under climate change
Xia, Bing (author) / Xiao, Jianzhuang (author) / Ding, Tao (author) / Zhang, Kaijian (author)
Structural Safety ; 92
2021-04-19
Article (Journal)
Electronic Resource
English
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