https://zzzyc001.github.io/ Recent content in Home on ZZ's Homepage Hugo en-US Mon, 19 Oct 2026 16:00:00 +0800 https://zzzyc001.github.io/coffee.html Mon, 19 Oct 2026 16:00:00 +0800 https://zzzyc001.github.io/coffee.html https://zzzyc001.github.io/friends.html Mon, 19 Oct 2026 12:00:00 +0800 https://zzzyc001.github.io/friends.html https://zzzyc001.github.io/serving.html Mon, 26 Aug 2024 20:00:00 +0800 https://zzzyc001.github.io/serving.html <dl> <dt><span class="logo" aria-hidden="true"><svg viewBox="0 0 1582 1024" xmlns="http://www.w3.org/2000/svg" fill="currentColor" aria-hidden="true" focusable="false"> <path d="M1268.953465 0.078763a306.309976 306.309976 0 1 1 0 612.619952 306.309976 306.309976 0 0 1 0-612.619952z m0 94.515807a211.79417 211.79417 0 1 0 0 423.588339 211.79417 211.79417 0 0 0 0-423.588339z" ></path> <path d="M1050.149373 350.1023a306.309976 306.309976 0 1 1 0 612.619952 306.309976 306.309976 0 0 1 0-612.619952z m0 94.515806a211.79417 211.79417 0 1 0 0 423.58834 211.79417 211.79417 0 0 0 0-423.58834z" ></path> <path d="M787.631721 0.078763a306.309976 306.309976 0 1 1 0 612.619952A306.309976 306.309976 0 0 1 787.631721 0.078763z m0 94.515807a211.79417 211.79417 0 1 0 0 423.588339A211.79417 211.79417 0 0 0 787.631721 94.59457z" ></path> <path d="M525.114068 350.1023a306.309976 306.309976 0 1 1 0 612.619952 306.309976 306.309976 0 0 1 0-612.619952z m0 94.515806a211.79417 211.79417 0 1 0 0 423.58834 211.79417 211.79417 0 0 0 0-423.58834z" ></path> <path d="M306.309976 0.078763a306.309976 306.309976 0 1 1 0 612.619952 306.309976 306.309976 0 0 1 0-612.619952z m0 94.515807a211.79417 211.79417 0 1 0 0 423.588339 211.79417 211.79417 0 0 0 0-423.588339z" ></path> </svg> </span> Beijing 2022 Winter Olympics</dt> <dd> <p>Volunteer tour guide, behind-the-scenes technology</p> https://zzzyc001.github.io/writing.html Mon, 26 Aug 2024 20:00:00 +0800 https://zzzyc001.github.io/writing.html <h2 id="journal-papers">Journal Papers</h2> <article class="entry paper"> <div class="paper-teaser frame"><img src="https://zzzyc001.github.io/img/granule-in-cell_hu_26e5cccf7a2519cc.jpg" width="600" height="400" alt="" loading="lazy" decoding="async"></div> <div class="paper-main"> <p class="paper-meta">2025 · ACM Transactions on Graphics (SIGGRAPH Asia)</p> <h3 class="paper-title"><a href="https://arxiv.org/abs/2504.00745">The Granule-In-Cell Method for Simulating Sand–Water Mixtures</a></h3> <p class="paper-authors">Yizao Tang*, <strong>Yuechen Zhu</strong>*, Xingyu Ni†, Baoquan Chen†</p> <ul class="paper-links"> <li><a href="https://arxiv.org/pdf/2504.00745">PDF</a></li> <li><a href="https://doi.org/10.1145/3763279">DOI</a></li> <li><a href="https://www.youtube.com/watch?v=HLCx-NnaQhM">Video</a></li> <li><a href="https://www.bilibili.com/video/BV1C1JZziECX/">bilibili</a></li> </ul> <details class="paper-details"> <summary>Abstract<svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true" focusable="false"><path d="M6 9l6 6 6-6"/></svg> </summary> <div class="paper-abstract"> <p class="paper-note">* Equal contribution · † Corresponding authors</p> <p>The simulation of sand–water mixtures requires capturing the stochastic behavior of individual sand particles within a uniform, continuous fluid medium, such as the characteristic of migration, deposition, and plugging across various scenarios. In this paper, we introduce a Granule-in-Cell (GIC) method for simulating such sand–water interaction. We leverage the Discrete Element Method (DEM) to capture the fine-scale details of individual granules and the Particle-in-Cell (PIC) method for its continuous spatial representation and particle-based structure for density projection. To combine these two frameworks, we treat granules as macroscopic transport flow rather than solid boundaries for the fluid. This bidirectional coupling allows our model to accommodate a range of interphase forces with different discretization schemes, resulting in a more realistic simulation with fully respect to the mass conservation equation. Experimental results demonstrate the effectiveness of our method in simulating complex sand–water interactions, while maintaining volume consistency. Notably, in the dam-breaking experiment, our simulation uniquely captures the distinct physical properties of sand under varying infiltration degree within a single scenario. Our work advances the state of the art in granule–fluid simulation, offering a unified framework that bridges mesoscopic and macroscopic dynamics.</p>