Experimental and simulation study demonstrates multidimensional performance optimization for sustainable landscape materials, highlighting pathways for low-carbon intelligent infrastructure.
Driven by the dual goals of global carbon neutrality and ecological city construction, the integrated application of sustainable landscape materials and recycled fibers has become an important approach to improving urban environmental quality and reducing infrastructure carbon emissions. As intelligent infrastructure increasingly relies on electromagnetic sensing and structural health monitoring technologies for lifecycle assessment, comprehensive material performance evaluation is also essential for reliable engineering applications. However, current landscape engineering still suffers from insufficient compatibility between material properties and ecological requirements, incomplete evaluation systems, and a lack of systematic optimization strategies. To address these issues, this study constructs a multidimensional performance evaluation framework covering mechanical, ecological, durability, and economic performance. Representative sustainable landscape materials, including permeable concrete, recycled stone, ecological wood, and vegetation concrete, are selected as research objects. Through experimental testing, numerical simulation, and case analysis, the key performance indicators and influencing mechanisms are systematically investigated, and performance-oriented optimization strategies are proposed. The results provide theoretical support for sustainable material selection and practical guidance for intelligent infrastructure construction, while offering useful references for electromagnetic-assisted monitoring and long-term performance evaluation in advanced engineering environments.
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C. H. Zhang (2026) studied this question.
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