<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research on Personal Website of Seung Jae Lee</title><link>http://sjlee.fiu.edu/research/</link><description>Recent content in Research on Personal Website of Seung Jae Lee</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 27 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="http://sjlee.fiu.edu/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Granular Materials and Geomechanics</title><link>http://sjlee.fiu.edu/research/granular-materials-research/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>http://sjlee.fiu.edu/research/granular-materials-research/</guid><description>Selected Publications Particle Geometry Space (PGS): An Integrated Characterization of Particle Shape, Surface Area, Volume, Specific Surface, and Size Distribution
https://doi.org/10.1016/j.trgeo.2025.101579
This work introduces Particle Geometry Space (PGS), a unified analytical framework integrating particle size (D), shape (β), surface area (A), volume (V), and specific surface (A/V) into a single geometry-based representation. Moving beyond conventional isolated methods by characterizing size or shape, PGS enables systematic interpretation of all 3D particle geometry attributes in a single space and its relationship to granular material behavior while extending the traditional particle size distribution concept into a multidimensional framework.</description></item><item><title>Numerical Methods and Advanced Computing</title><link>http://sjlee.fiu.edu/research/numerical-methods-and-advanced-computing/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>http://sjlee.fiu.edu/research/numerical-methods-and-advanced-computing/</guid><description>Selected Publications iDEM: An Impulse-Based Discrete Element Method for Fast Granular Dynamics
https://doi.org/10.1002/nme.4923
This work introduces an impulse-based discrete element method (iDEM) for efficient simulation of granular materials. By replacing contact-force calculations with collision impulses and directly updating particle velocities, the method bypasses acceleration integration while preserving fidelity. The approach is numerically stable and achieves speedups approaching two orders of magnitude over conventional DEM, enabling large-scale simulations on accessible computing hardware.</description></item><item><title>Wind and Façade Engineering</title><link>http://sjlee.fiu.edu/research/wind-and-facade-engineering/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>http://sjlee.fiu.edu/research/wind-and-facade-engineering/</guid><description>Selected Publications Wind-Induced Dynamic Behavior of Single-Skin Curtain-Wall System: A Comparative Numerical Study
https://doi.org/10.1061/JAEIED.AEENG-1725
This work advances the understanding of wind-induced dynamic behavior in building façades through the development of high-fidelity numerical models for single-skin curtain-wall systems. By representing façades as interconnected mechanical systems with operable components rather than a simplified plate model, the study captures the dynamic response under wind loading while maintaining practical computational efficiency.</description></item><item><title>Historic Preservation</title><link>http://sjlee.fiu.edu/research/historic-preservation/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>http://sjlee.fiu.edu/research/historic-preservation/</guid><description>Selected Publications Image-Based 3D Modeling-to-Simulation of Single-Wythe Masonry Structure via Reverse Descriptive Geometry
https://doi.org/10.1016/j.jobe.2023.107125
This study develops an image-based 3D modeling-to-simulation framework for rapid vulnerability assessment of single-wythe historic masonry structures. Using reverse descriptive geometry, 2D wall images are transformed into 3D discrete element models for seismic analysis. The framework combines automated geometry reconstruction, impulse-based dynamic simulation, and high-fidelity masonry modeling to enable efficient, accurate, and computationally scalable hazard assessment.</description></item><item><title>Bridge Engineering</title><link>http://sjlee.fiu.edu/research/bridge-engineering/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>http://sjlee.fiu.edu/research/bridge-engineering/</guid><description>Selected Publications Impact of pile-to-cap fixity on the design and behavior of sensitive structures
https://doi.org/10.15554/pcij67.1-01
This study challenges the long-standing assumption that pile-to-cap connections behave as pinned connections by demonstrating that substantial fixity can develop even at relatively shallow embedment lengths. Through advanced finite element modeling, the research identifies embedment length and axial compression as the primary parameters governing connection behavior and establishes a mechanics-based framework for predicting connection response.</description></item></channel></rss>