Kyoto University · Engineering
Professor Hao Li's research lab specializes in computational mechanics, intelligent sensing, and thermal management systems, with a strong focus on tire–soil interaction, structural health monitoring of civil infrastructure, and advanced thermal design for electronics cooling. The lab develops high-fidelity finite element and analytical models to simulate complex contact mechanics and dynamic responses, while also integrating deep learning for real-time feature extraction and performance optimization. Recent work emphasizes topology optimization for liquid-cooled heat sinks and model updating techniques for prestressed bridges using dynamic response data.
Figures are computed from collected data and may differ slightly.
Soil compaction, as a form of soil degradation, accounts for the increase of soil strength and the reduction of soil production capability. Two finite element tire models were developed based on the real geometry and structure of a Bridgestone bias tire. With a single wheel tester, field experiments were performed to validate the finite element tire–soil interaction models. The influence of axle load and inflation pressure on the soil compaction was studied with a finite element tire model using
The ablation experiment results showed that the CSCW-YOLOv7 achieved the best performance among the other models. The accuracy, recall, and mean average precision (mAP) values of the CSCW-YOLOv7 were 97.7%, 98%, and 94.4%, respectively. Compared with the baseline YOLOv7, the improved CSCW-YOLOv7 obtained precision, recall, and mAP increases of 1.8%, 1%, and 2.1%, respectively. Meanwhile, the parameters were compressed by 10.7% with a 3.8-MB reduction, resulting in a 10% decrease in floating-poin
Tyre–soil interaction models were developed for the investigation of tyre dynamic behaviours with two different approaches: finite element method and analytical method. In the finite element model the 3D tyre was modelled as a non-linear solid assembly consisting of tread block, belt and carcass layers, sidewall, beads and rim, and the soil modelled as a 3D object was attributed with the elasto-plastic mechanical behaviour. In the analytical model the contact between deformable tyre and soft soi
This study carries out numerical simulations to identify the magnitude of prestress force in a highway bridge by making use of the dynamic responses from moving vehicular loads. The prestressed bridges are modeled using four-node isoparametric flat shell element taking into account the transverse shearing deformation in the finite element model. The vehicle is modeled as a multiple degrees-of-freedom system. An approach based on dynamic response sensitivity-based finite element model updating is
摘要: 以换热量最大为目标进行液冷通道分布优化设计,构建拓扑优化设计数学模型,采用霍尔姆兹偏微分方程形式的密度过滤避免拓扑形态出现棋盘格现象;同时,采用双曲正切投影方法以得到清晰的流体通道拓扑形态。对不同进出口布置的典型算例进行优化设计,设计结果与传统直通道比较,通过有限元数值模拟,以最高温度为评价指标,对比各进出口布置的拓扑优化通道与传统直通道的散热性能。仿真结果表明,拓扑优化通道比直通道的最高温度低,且采用垂直对角出入口布置散热性能最佳。进一步制作液冷板,通过试验验证了设计方法的有效性及数值模拟的准确性。
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