Rising damp in building stones: Numerical and experimental comparison in lecce stone and carparo under controlled microclimatic conditions

Congedo, Pietro Marco; Baglivo, Cristina; D’Agostino, Delia; Quarta, Giovanni; Gloria, Pasquale Di

doi:10.1016/j.conbuildmat.2021.123713

Cited by 10 publications

(2 citation statements)

References 21 publications

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“…In the case of ancient components, this operation is even more complex. Indeed, building materials are vulnerable to deterioration and decay over time [11] and this makes their characteristics unique. It therefore becomes a challenge to find a correspondence between the real ancient material and those listed in standards and/or in software databases [12,13].…”

Section: Introductionmentioning

confidence: 99%

Thermal Modeling of a Historical Building Wall: Using Long-Term Monitoring Data to Understand the Reliability and the Robustness of Numerical Simulations

et al. 2022

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Thermal modeling of building components plays a crucial role in designing energy efficiency measures, assessing living comfort, and preventing building damages. The accuracy of the modeling process strongly depends on the reliability of the physical models and the correct selection of input parameters, especially for historic buildings where uncertainties on wall composition and material properties are higher. This work evaluates the reliability of building thermal modeling and identifies the input parameters that most affect the simulation results. A monitoring system is applied to a historic building wall to measure the temperature profile. The long-term dataset is compared with the result of a simulation model. A sensitivity analysis is applied for the determination of the influential input parameters. A two-step optimization is performed to calibrate the numerical model: the first optimization step is based on an optimized selection of the database materials, while the second optimization step uses a particle swarm algorithm. The results indicate that the output of the simulation model is largely influenced by the coefficients describing the coupling with the boundary conditions and by the thermal conductivities of the materials. Very good results are obtained already after the first optimization step (RMSE=0.75 °C) while the second optimization step improves further the agreement (RMSE=0.48 °C). The parameter values reported in the datasheets do not match those found through optimization. Even with extensive optimization using an algorithm, starting with monitoring data is insufficient to identify material parameter values.

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Section: Introductionmentioning

confidence: 99%

Thermal Modeling of a Historical Building Wall: Using Long-Term Monitoring Data to Understand the Reliability and the Robustness of Numerical Simulations

et al. 2022

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“…With the development of new research, the influence of humidity on the deterioration of stone has also been discussed [8][9][10][11]. Scholars have given a detailed description of the damage to cultural relics triggered by humidity variations [12]. Salt dissolved in water enters the cultural relics by capillarity and infiltration as liquid [13].…”

Section: Introductionmentioning

confidence: 99%

Exfoliation of stone cultural relics under the microclimate in the Yongling Mausoleum of the Former Shu Dynasty

et al. 2022

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Many degradation processes of cultural heritage objects are associated with unsuitable microclimatic conditions. One of the most ubiquitous deteriorations is the crystallization of salts in pores, which can accelerate the erosion rate of masonry historical relics. In this study, the microclimate of the burial tomb and exfoliation of sandstone in the Yongling Mausoleum of the Former Shu Dynasty in Chengdu were monitored for 1 year to determine the development of the degradation. We established a connection between the monitoring data and exfoliation variations of the stone with time. To predict the deterioration of the stone, a three-dimensional computational finite element model was used to simulate the detailed process of the thermo-hygrometric performance that led to salt crystallization and artwork deterioration. Two results were obtained. In the simulation of the microclimate, the temperature ranged from 15 to 22.6 °C, and the relative humidity was heterogeneous and varied between 60 and 100%. The other was the relationship between the microclimate and exfoliation. It was found that the exfoliation was more severe in the higher relative humidity areas where the water vapor frequently interacted with the relics. The crystallization and hydration of sulfate produced stress, which damaged the stone relics. These results provide a rationale analysis and a reference for better management of the environmental interactions and reduction of the environmental impacts in the subsequent scientific conservation of ancient Chinese cultural relics in tombs.

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The influence of the bricks and mortar characteristics, paint, and salts on the rising damp of historic masonries through hygrothermal simulation

de Oliveira,

Mesquita,

de Oliveira Freire

et al. 2023

Journal of Cultural Heritage

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Rising damp in building stones: Numerical and experimental comparison in lecce stone and carparo under controlled microclimatic conditions

Cited by 10 publications

References 21 publications

Thermal Modeling of a Historical Building Wall: Using Long-Term Monitoring Data to Understand the Reliability and the Robustness of Numerical Simulations

Thermal Modeling of a Historical Building Wall: Using Long-Term Monitoring Data to Understand the Reliability and the Robustness of Numerical Simulations

Exfoliation of stone cultural relics under the microclimate in the Yongling Mausoleum of the Former Shu Dynasty

The influence of the bricks and mortar characteristics, paint, and salts on the rising damp of historic masonries through hygrothermal simulation

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