Z
Zili Li
Researcher at Delft University of Technology
Publications - 153
Citations - 3818
Zili Li is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Finite element method & Axle. The author has an hindex of 31, co-authored 132 publications receiving 2936 citations. Previous affiliations of Zili Li include Southwest Jiaotong University & University of Illinois at Urbana–Champaign.
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An investigation into the causes of squats—Correlation analysis and numerical modeling
TL;DR: In this paper, a correlation analysis is performed based on measured data and field observations, and then a relation between squat occurrence and some parameters of the vehicle-track system is identified.
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The solution of frictional wheel–rail rolling contact with a 3D transient finite element model: Validation and error analysis
TL;DR: In this paper, a 3D transient finite element (FE) model is presented to solve both the normal and the tangential contact problems simultaneously for arbitrary geometry, and the explicit time integration scheme employed renders it intrinsically suitable for transient analysis of high frequency dynamic processes.
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Axle box acceleration: Measurement and simulation for detection of short track defects
TL;DR: In this article, the track technical state can be assessed with the aid of axle box acceleration measurements, which can indicate short track defects like squats, welds with poor finishing quality, insulated joints, corrugation, etc.
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Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health : Murrumbidgee River Basin, Australia
T.H.M. Van Emmerik,Zili Li,Murugesu Sivapalan,Saket Pande,Jaya Kandasamy,Hubert H. G. Savenije,Amit Chanan,Saravanamuthu Vigneswaran +7 more
TL;DR: In this paper, the authors present a modeling study centered on the Murrumbidgee River basin (MRB), which has witnessed a unique system dynamics over the last 100 years as a result of interactions between patterns of water management and climate driven hydrological variability.
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Automatic detection of squats in railway infrastructure
TL;DR: In this article, an automatic method for detecting railway surface defects called "squats" using axle box acceleration (ABA) measurements on trains is presented. But the method is based on a series of research results from their group in the field of railway engineering that includes numerical simulations, the design of the ABA prototype, real-life implementation, and extensive field tests.