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29. Research on rural landscape garden planning and plantscape construction method based on digital twin technology under rural revitalization strategy

Author

Zhao Jiayu

Subjects
digital twin technology, nsga-ii algorithm, bim technology, construction dynamic layout, landscape garden planning, 97m50, Mathematics, QA1-939
Abstract

This paper integrates the landscape information model, designs the digital twin rural landscape architecture, and analyzes the advantages of the digital twin rural landscape model. The practical application of digital twin technology is examined from the planning and design stage to the construction stage. Considering the actual construction site layout and the consumption of construction materials, the NSGA-II algorithm is selected to optimize the dynamic layout of temporary facilities by combining multi-objective optimization theory. Using the digital twin to drive the dynamic layout of the construction site, a digital twin-driven construction site layout mechanism is proposed in combination with BIM technology. The actual construction scheduling tasks are used to analyze the feasibility of the construction site layout scheme generated using digital twin technology. Analyze the construction of rural landscape gardens planned using digital twin technology in terms of ecological, social, and economic benefits. The convergence minimum is achieved at 0.15 and 0.09 when comparing the number of iterations between the initialized layout and the digital twin-driven layout. The corresponding scheme reaches its optimal state during the construction stage and can provide the most suitable site arrangement scheme during that stage. The rural landscape garden planned by the digital twin technology can generate an economic return value of 71.756 yuan/m² per year, which can further promote rural revitalization.

Published
2024
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33. Engineering soft responsive material hybrids with non-living and living systems

Author

Zhao, Jiayu

Subjects
Materials Science, Nanotechnology, Polymer chemistry
Abstract

Soft responsive materials can undergo significant changes in their properties in response to external stimuli such as temperature, mechanical force, light, pH, magnetic, electric fields, and chemical agents. The efforts of this dissertation are mainly focused on understanding and exploiting the chemistry, physics, mechanics, and dynamics of soft responsive materials to develop new pathways of programmable properties including shape morphing and optical signal. This dissertation encompasses the engineering techniques of soft responsive materials across the spectrum from non-living (i.e., synthetic) to living systems. In non-living systems, we used synthetic stimuli-responsive soft materials, such as hydrogels and elastomers, to explore how material characteristics can be integrated into novel structural designs through additive manufacturing. We also modeled these material systems using computational methods to further understand and predict their behaviors. Extrusion-based 3D printing (i.e., direct ink writing), one of the techniques of additive manufacturing, was employed to create complex structures with precise control over material compositions and local architectures. We discuss the rationale of the structure design, from microscopic to macroscopic, to enable the desired functionality by leveraging the structure-property relationships. In living systems, we have integrated our synthetic adhesive hydrogel with plants to introduce new functionalities such as programmable shape morphing, on-demand plant control, and precise cargo delivery. We examine the engineering requirements for synthetic polymers to interface with living systems like plants, focusing on mechanical, chemical, and biocompatible characteristics. We present a method for achieving strong, yet reversible, adhesion to various plant surfaces, utilizing the Schiff's base reaction to establish dynamic imine bonds. This strategy paves the way for advanced nutrient delivery systems for plants, wearable sensors for early disease detection, and novel human-plant interaction modalities.

Published
2024

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