A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Reinforced Concrete (RC) is a cornerstone in current and near-future built environments. Due to the cheapness of concrete and its versatile use, predictions say that an increase in concrete production is foreseeable. However, the environmental impact of concrete proves an increasing challenge, with cement, a component in concrete, contributing to around 8 % of the world’s CO2 emission. Furthermore, concrete is playing a significant role in the depletion of non-renewable resources like sand, gravel, and limestone. Thus, methods that optimise RC structures with regard to material usage can increase sustainability in the built environment. When designing structures, engineers need to focus on both the structure’s safety and longevity. These two aspects manifest in the design codes as the Ultimate Limit State (ULS) and Serviceability Limit State (SLS) criteria. The ULS considers safety against collapse by ensuring adequate structural capacity. On the contrary, SLS focuses on serviceability and considers, amongst other things, crack-width and deflection requirements. Material optimisation of RC structures has mainly focused on either linear elastic material response, and in turn, only the serviceability of the structures, or on a rigid plastic model, therefore only being reliable for the safety of the structure. In general, few methods exist that allow for the optimisation of RC structures while considering both the SLS and ULS. This thesis presents a design-orientated method for material optimisation of RC structures while simultaneously taking several load cases into account, considering both the SLS and ULS criteria. The criteria are implemented as restrictions on the strains of the structure. In the ULS, the strains are limited to the material’s ultimate strains, and the SLS strains are limited as an indirect restraint on the crack width. The method presented uses sequential convex programming, where convex approximations are solved iteratively until satisfying solutions are identified. The method uses three main ...
Reinforced Concrete (RC) is a cornerstone in current and near-future built environments. Due to the cheapness of concrete and its versatile use, predictions say that an increase in concrete production is foreseeable. However, the environmental impact of concrete proves an increasing challenge, with cement, a component in concrete, contributing to around 8 % of the world’s CO2 emission. Furthermore, concrete is playing a significant role in the depletion of non-renewable resources like sand, gravel, and limestone. Thus, methods that optimise RC structures with regard to material usage can increase sustainability in the built environment. When designing structures, engineers need to focus on both the structure’s safety and longevity. These two aspects manifest in the design codes as the Ultimate Limit State (ULS) and Serviceability Limit State (SLS) criteria. The ULS considers safety against collapse by ensuring adequate structural capacity. On the contrary, SLS focuses on serviceability and considers, amongst other things, crack-width and deflection requirements. Material optimisation of RC structures has mainly focused on either linear elastic material response, and in turn, only the serviceability of the structures, or on a rigid plastic model, therefore only being reliable for the safety of the structure. In general, few methods exist that allow for the optimisation of RC structures while considering both the SLS and ULS. This thesis presents a design-orientated method for material optimisation of RC structures while simultaneously taking several load cases into account, considering both the SLS and ULS criteria. The criteria are implemented as restrictions on the strains of the structure. In the ULS, the strains are limited to the material’s ultimate strains, and the SLS strains are limited as an indirect restraint on the crack width. The method presented uses sequential convex programming, where convex approximations are solved iteratively until satisfying solutions are identified. The method uses three main ...
Performance Based Structural Optimisation
Larsen, Jeff (author)
2024-01-01
Larsen , J 2024 , Performance Based Structural Optimisation . DCAMM Special Report , no. S369 , Technical University of Denmark , Kgs. Lyngby . https://doi.org/10.11581/DTU.00000326
Book
Electronic Resource
English
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