Dehong Fang

Dehong Fang

Focused on multi-physics computational research.

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Fluid-solid Coupling by Neural Network

Complex physical process can be learned and replaced by machine learning model. Use the IB-PINN machine learning model to conduct fluid–solid coupling is shown to be fast, reliable and accurate.

Wall Shear Stress Analysis for Blood Vessel's Inner Surface

To analyze the WSS in complex fluids with cell suspensions, numerical simulations of blood flows in simple straight channels were conducted, where the fluid-solid interactions were simulated by immersed boundary-lattice Boltzmann method. The spatiotemporal dynamics of WSS were analyzed using dynamic mode decomposition (DMD), which is a technique that can extract the low-rank spatiotemporal features from complex fluids.

Posts

Future Blog Post

less than 1 minute read

Published:

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Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Vascular Model Processing

Preprocessing steps for the blood flow simulation. Mesh file is downloaded from open-source database Vascular Model Repository.

Fluid-solid Coupling by Neural Networks

Complex physical process can be learned and replaced by machine learning model. Use the IB-PINN machine learning model to conduct fluid–solid coupling is shown to be fast, reliable, and accurate.

Wall Shear Stress Analysis for Blood Vessel’s Inner Surface

To analyze the WSS in complex fluids with cell suspensions, numerical simulations of blood flows in simple straight channels were conducted, where the fluid-solid interactions were simulated by immersed boundary-lattice Boltzmann method. The spatiotemporal dynamics of WSS were analyzed using dynamic mode decomposition (DMD), which is a technique that can extract the low-rank spatiotemporal features from complex fluids.

publications

Digital threads of architectural heritage: navigating tourism destination image through social media reviews and machine learning insights

Published in Journal of Asian Architecture and Building Engineering, 2024

Recommended citation: Zang, Z., Fu, H., Cheng, J., Raza, H., & Fang, D. (2024). Digital threads of architectural heritage: navigating tourism destination image through social media reviews and machine learning insights. Journal of Asian Architecture and Building Engineering, 1–18. https://doi.org/10.1080/13467581.2024.2399681 https://doi.org/10.1080/13467581.2024.2399681

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.