<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">TACS</journal-id><journal-title-group><journal-title>Technology and Application of Computer Science</journal-title></journal-title-group><issn>2998-8926</issn><eissn>2998-8934</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/TACS.2025070035</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>融合多项计算机技术的木材力学实验探索</title><url>https://artdesignp.com/journal/TACS/2/7/10.61369/TACS.2025070035</url><author>刘智博,熊绍杰,胡潇毅</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>2</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-04-14</published-time></date></history><abstract>本文针对传统木材力学实验方法的不足，提出了一种融合多项计算机技术的实验方案。该方案整合了有限元分析(FEA)、人工智能(AI)、计算机辅助设计/ 工程(CAD/CAE)，数字图像相关(DIC)，虚拟样本生成(VSG) 以及用户图像界面(GUI) 等技术，构建了一个完整技术闭环。通过一个具体的木梁检测案例，验证了该方法的有效性。本研究为木材力学实验的数字化、智能化转型提供了新的范式。</abstract><keywords>木材力学,有限元分析,数字图像相关,虚拟样本,技术融合</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] 李坚, 甘文涛, 陈志俊等. 向新出发，木材科学前沿发展[J]. 森林工程,2025,41:1-39.[2] 张灵蕤, 刘辉, 邓岚等." 双碳" 目标下我国农林业碳排放效率的时空演变及影响因素分析[J]. 林业经济, 2024, 8:59-81.[3] 宋楚翘, 付伟莲, 刘新有等. 木材榫卯节点界面力学研究综述[J]. 世界林业研究,2024, 37(6):66-71.[4] 张知博, 王勇杰, 杨庆浩. 电阻应变传感器应用进展[J]. 化工新型材料,2025,53(2):34-39.[5] A.Rinta-Paavola, A.Ferrantelli, S.Hostikka. Experimental observation of crack formation on surface of charring timber [J]. Fire Safety Journal, 2024, 148:104231.[6]Niu G, Zhu R, Li Y. X-Ray Digital Image Correlation: A reliable method for deformation measurement at 1000&amp;deg; C. Experimental Mechanics, 2024, 64:1263&amp;ndash;1276.[7] 赵永强, 饶元, 董世鹏等. 深度学习目标检测方法综述[J]. 中国图象图形学报,2020,25(04):629-654.[8] 陈楠. 人工智能技术在计算机辅助设计中的应用研究[J]. 鞋类工艺与设计,2023,3(23):100-102.[9]Huiheng Lian, Xinjian Sun, Zhenpeng Yu. Study on the dynamic fracture properties and size effect of concrete based on DIC technology [J]. Engineering Fracture Mechanics,2022, 274:108789.[10]Shaikh A R, Mahmud A, Mahbube S. Comparison of continuum damage models for nonlinear finite element analysis of timber under tension in parallel and perpendicular to grain directions [J], European Journal of Wood and Wood Products, 2022, 80:771&amp;ndash;790.[11] 杨洋. 数字化技术下的绿色建筑创新与实践分析[J]. 新城建科技,2024,33(07):7-9.[12] 张慎, 陈州, 李霆等. 基于ABAQUS 的木材本构模型及试验验证[J]. 工程力学,2025,42(3):77-89.[13] M.Romanowicz, M.Grygorczuk.The effect of crack orientation on the mode I fracture resistance of pinewood [J].Internal Journal of Fracture, 2024, 248: 27-48.[14] R.Zhang, A.C.Taylor, M.N.Charalambides.A numerical model for predicting the time for crack initiation in wood panel paintings under low-cycle environmentally induced fatigue [J].Journal of Cultural Heritage,2023,61: 23&amp;ndash;31.[15] 雷翔鹏, 刘业峰. 基于ADAMS 的欠驱动三指机械手虚拟设计及参数优化[J]. 计算 机测量与控制,2020,28(11):251-255,269.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
