Investigation on Partial Factors and Probabilistic Models for Existing Masonry Materials

Many masonry buildings exist worldwide. Safety assessments are crucial for renovation and upgrading. On-site testing reveals material properties and historic loads, enabling updates to structural resistance models for more accurate evaluations. (1) This paper details updating resistance models with Bayesian theory and the proof load method. (2) It proposes three verification levels: high, medium, and low, using on-site material and load data. (3) Suitable resistance partial factors for each verification level are suggested. (4) The method is validated through practical case studies of masonry structure evaluations. The results show that (1) the mean value of the resistance of the existing masonry members updated by “Bayesian theory” and “Proof load methods” increases while the coefficient of variation decreases. (2) The reliability index of existing masonry components increases with the increase in the proof load and decreases with the increase in the coefficient of variation in material property uncertainty. (3) For “High verification level” and “Moderate verification level”, the resistance partial factors for existing masonry structure assessment can be taken as 1.67 and 1.70, respectively. (4) That updated partial factors can be used for structures.

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Publication Details

Journal
Buildings
Published
2025-12-23
DOI
https://doi.org/10.3390/buildings16010068
Primary Topic
Masonry and Concrete Structural Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation on Partial Factors and Probabilistic Models for Existing Masonry Materials

Caoming Tang, Hongcheng Guan, Youshan Zhao, Xinjing Zhao et al.
Buildings
Masonry and Concrete Structural Analysis
article

Investigation on Partial Factors and Probabilistic Models for Existing Masonry Materials

Caoming Tang, Hongcheng Guan, Youshan Zhao, Xinjing Zhao, Sheng Zhang, Zhefeng Yuan, Lele Wu
article en

Abstract

Many masonry buildings exist worldwide. Safety assessments are crucial for renovation and upgrading. On-site testing reveals material properties and historic loads, enabling updates to structural resistance models for more accurate evaluations. (1) This paper details updating resistance models with Bayesian theory and the proof load method. (2) It proposes three verification levels: high, medium, and low, using on-site material and load data. (3) Suitable resistance partial factors for each verification level are suggested. (4) The method is validated through practical case studies of masonry structure evaluations. The results show that (1) the mean value of the resistance of the existing masonry members updated by “Bayesian theory” and “Proof load methods” increases while the coefficient of variation decreases. (2) The reliability index of existing masonry components increases with the increase in the proof load and decreases with the increase in the coefficient of variation in material property uncertainty. (3) For “High verification level” and “Moderate verification level”, the resistance partial factors for existing masonry structure assessment can be taken as 1.67 and 1.70, respectively. (4) That updated partial factors can be used for structures.

BuildingsVol. 16(1)
Tianjin Chengjian University (CN), State Key Laboratory of Building Safety and Built Environment (CN), China Academy of Building Research (CN)
Natural Science Foundation of Tianjin City, National Engineering Research Center of Building Technology
Sustainable cities and communities
Openalex Percentile: Top 37%
Masonry and Concrete Structural Analysis
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