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Verified CAS / Academic Author2 Decoded Studies

Prof. ZHANG Xiaohui

Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, China

Research Publications & English Decoded Briefs

Showing 2 publications
Railway Engineering Science (铁道工程科学)2026DOI: 10.1007/s40534-025-00406-3

Modeling of Train-Induced Environmental Vibrations from Railway Traffic: A State-of-the-Art Review

The expansion of urban and intercity rail networks—exemplified by China's 162,000 km of railway operating mileage and 48,000 km of high-speed lines by the end of 2024—has intensified concerns over train-induced environmental vibrations. Although typically of low amplitude, these vibrations can cause long-term structural deterioration, interfere with precision instruments, and disrupt human comfort. Documented cases include the 1000-year-old Probhutaratna Pagoda in Beijing, located 130 m from a major railway, which exhibited signs of vibration-induced degradation despite measured levels remaining within regulatory thresholds; the 632-year-old Bell Tower in Xi'an, where two overlapping metro lines produced cumulative vibration effects on ancient timber; and Peking University laboratories, where Metro Line 4 vibrations caused visible image distortion in electron microscopes. The complex dynamic interactions among train, track, infrastructure, soils, and buildings render vibration prediction a formidable challenge. This paper provides a comprehensive review of state-of-the-art modeling methods for train-induced vibrations from surface and underground railway traffic. It begins by addressing wave propagation in natural soils, followed by an in-depth examination of analytical, numerical, and empirical approaches for predicting ground and building vibrations. The review identifies unresolved issues and outlines areas requiring further investigation, including the need for efficient prediction models to assess vibrations and design mitigation measures.

Nano-Micro Letters2025DOI: 10.1007/s40820-025-01812-2

All-Weather 3D Self-Folding Fabric for Adaptive Personal Thermoregulation

In the era of global climate change, personal thermoregulation has become critical to addressing the growing demands for thermoadaptability, comfort, health, and work efficiency in dynamic environments. Here, we introduce an innovative three-dimensional (3D) self-folding knitted fabric that achieves dual thermal regulation modes through architectural reconfiguration. In the warming mode, the fabric maintains its natural 3D structure, trapping still air with extremely low thermal conductivity to provide high thermal resistance (0.06 m2 K W−1), effectively minimizing heat loss. In the cooling mode, the fabric transitions to a 2D flat state via stretching, with titanium dioxide (TiO2) and polydimethylsiloxane (PDMS) coatings that enhance solar reflectivity (89.5%) and infrared emissivity (93.5%), achieving a cooling effect of 4.3 °C under sunlight. The fabric demonstrates exceptional durability and washability, enduring over 1000 folding cycles, and is manufactured using scalable and cost-effective knitting techniques. Beyond thermoregulation, it exhibits excellent breathability, sweat management, and flexibility, ensuring wear comfort and tactile feel under diverse conditions. This study presents an innovative solution for next-generation adaptive textiles, addressing the limitations of static thermal fabrics and advancing personal thermal management with wide applications for wearable technology, extreme environments, and sustainable fashion.