Modeling and numerical simulation of heat and mass transfer in the cave wall of the Mogao Grottoes in China

Bi, Wenbei; Yan, Zengfeng; Zhang, Zhengmo; Yao, Shanshan; Zhang, Junjie; Wang, Xudong

doi:10.1016/j.buildenv.2021.108003

Cited by 25 publications

(11 citation statements)

References 23 publications

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“…In winter (Figure 7b), the RH distribution was similar to that in summer. This distribution is consistent with the results of previous studies [5].…”

Section: Spatial Distribution Of the Temperature And Moisture Of Cave 98supporting

confidence: 94%

“…Due to the huge differences in the material, geometry, boundary conditions, and historical buildings of caves, a further discussion of the thermal and humid behavior of caves is required. There has been considerable work on the effect of environmental factors on the degradation of Mogao Grottoes [3]- [5]. But there is still a lack of quantitative evaluation of the deterioration of Mogao Grottoes murals based on the hygrothermal environment, indoor air and cliff, resulting in the inability to visualize the spatial and temporal distributions of temperature, humidity, and water content in the cave interior and surrounding cliff.…”

Section: Introductionmentioning

confidence: 99%

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Assessing the deterioration risk of mural paintings in Cave 98 of Mogao Grottoes based on the hygrothermal behavior

Hu,

Zhang,

Zhang

et al. 2023

J. Phys.: Conf. Ser.

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Cave 98 is a typical cave in Mogao Grottos with various and serious degradations. This paper aims to clarify the heat and moisture transfer law of Cave 98 and murals and evaluate whether the current hygrothermal environment is conducive to the long-term preservation of murals. In this paper, a coupled heat and moisture transfer 2D model of Cave 98 was first established, and the accuracy of the model was verified by on-site monitoring data. Then, the spatial distributions of the temperature and moisture in Cave 98 were analyzed, and the quantitative evaluation of the deterioration risk of mural paintings in different locations was further evaluated. The results showed that 14% and 13.8% of the time indoor temperature and relative humidity (RH) exceeded the target range. Salt damage occurred more than 10 days a year, mold contamination occurred just a few days a year, and deterioration occurred at its peak in summer. Dehumidification measures can be taken during periods of high humidity to improve the adaptability of the current preservation environment.

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“…In winter (Figure 7b), the RH distribution was similar to that in summer. This distribution is consistent with the results of previous studies [5].…”

Section: Spatial Distribution Of the Temperature And Moisture Of Cave 98supporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Assessing the deterioration risk of mural paintings in Cave 98 of Mogao Grottoes based on the hygrothermal behavior

Hu,

Zhang,

Zhang

et al. 2023

J. Phys.: Conf. Ser.

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“…The main room is 11.3-m long and 10.4-m wide, with four walls that are 5.0 m high but with a maximum ceiling height of 8.2 m. The corridor is 5.5-m long, 2.8-m wide, and 4.0-m high. The front room is 2.7-m wide, 3.6-m long, and 4.0-m high [ 38 , 39 ]. The total volume of the cave is approximately 842 m 3 , and the total surface area is approximately 655 m 2 .…”

Section: Methodsmentioning

confidence: 99%

Quantity and spatial distribution of earth-air activity in Cave 108 of the Dunhuang Mogao Grottoes

Li,

Wang

2024

Heliyon

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“…e 4S-IAM model was proposed to connect historical graphics resources, local archaeological achievements, and mural image ontology resources effectively. However, Bi et al [11] found that the tunnel wall's heat and moisture transfer process changed in space and time.…”

Section: Introductionmentioning

confidence: 99%

Digitized Visual Transformation of Grotto Art Using Deep Learning and Virtual Reality Technology

Xie

2022

Scientific Programming

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The purpose is to convert the contents of the grotto murals into a digital vision based on deep learning (DL) and virtual reality (VR) technology to protect the precious grotto murals. The grotto murals are analyzed and modeled by introducing the related concepts of the digital library, using VR technology, and taking the cultural relics data acquisition technology as the basic framework. Then, the cultural relics information collection technology under DL is combined with VR technology, the color and materialization concepts of grotto murals are integrated, and a digital recognition model of grotto mural restoration and simulation is constructed. The color analysis scheme of grotto murals is established. Through the analysis of color and material, the comprehensive recognition rate of this color model can reach 70%, and the material recognition of color painting can also ensure one-to-one restoration. Besides, the model can be applied to the simulation and restoration of grotto murals and provide some help for the protection of grotto murals. This paper has practical application value for the protection and restoration of mural art.

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Modeling and numerical simulation of heat and mass transfer in the cave wall of the Mogao Grottoes in China

Cited by 25 publications

References 23 publications

Assessing the deterioration risk of mural paintings in Cave 98 of Mogao Grottoes based on the hygrothermal behavior

Assessing the deterioration risk of mural paintings in Cave 98 of Mogao Grottoes based on the hygrothermal behavior

Quantity and spatial distribution of earth-air activity in Cave 108 of the Dunhuang Mogao Grottoes

Digitized Visual Transformation of Grotto Art Using Deep Learning and Virtual Reality Technology

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