| 摘要: |
| 长城文化遗产长期面临风、水、冰雹等自然环境
风险。现有研究偏向理论，缺乏基于数字孪生的实证研究，
尤其缺乏长城文化遗产环境灾害仿真模拟预测的研究。将数
字孪生理论模型与实际案例结合，通过流固耦合分析模拟探
索风环境对北京蟠龙山长城的影响，评估风对建筑结构的影
响，探讨植被、建筑体量等变量对风环境的影响。结果显
示，数字孪生模型能够有效预测文化遗产在风环境下的风险
分布，同时，植被和建筑体量的变化明显影响了风蚀程度。
对于局部坍塌拱券的模拟分析揭示了文化遗产在强风和冰雹
灾害下受损的机理。 |
| 关键词: 风景园林 长城文化遗产 数字孪生 环境风
险 风环境模拟 遗产保护 |
| DOI：10.19775/j.cla.2024.06.0035 |
| 投稿时间：2024-03-06修订日期：2024-04-08 |
| 基金项目:国家文物局重点科研基地研究项目
(2023ZCK004)；清华-清尚智慧场景创新设计研究院开放课
题(20222910003) |
|
| Research on the Conservation and Inheritance of theGreat Wall Cultural Heritage Based on Digital Twin |
| ZHANG Zhi,DANG Anrong,CHEN Yang,LI Xiangyu,YU Jiangang |
| Abstract: |
| The Great Wall cultural heritage has long been exposed
to natural environmental risks such as wind, water, and hail.
Existing research tends to be theoretical, lacking empirical studies
based on digital twin, particularly the simulation prediction of
environmental disasters for the Great Wall cultural heritage.
This paper combines the theoretical model of digital twin with
practical cases to explore the impact of the wind environment on
the Beijing Panlongshan section of the Great Wall through fluidstructure
interaction analysis. It assesses the influence of wind on
architectural structures and investigates the effects of variables such
as vegetation and building volume on the wind environment. The
experimental results demonstrate that digital twin can effectively
predict the risk distribution of heritage under the influence of wind
environments. Moreover, variations in vegetation and building
volume significantly affect wind erosion, and simulation analysis
of localized collapse arches reveals the mechanisms of heritage
damage caused by strong winds and hail disasters. |
| Key words: landscape architecture Great Wall cultural heritage digital twin environment risk wind environment simulation heritage conservation |
