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Experimental Characteristics of Dry Stack Masonry under Compression and Shear Loading.

Kun Lin¹, Yuri Zarevich Totoev², Hongjun Liu³

¹Shenzhen Engineering Lab for Wind Environment and Technology, Shenzhen Key Lab of Urban & Civil Engineering Disaster Prevention & Reduction, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. linkun.hit@gmail.com.

Materials (Basel, Switzerland)

|August 11, 2017

Summary

Dry stack masonry (DSM) exhibits unique compression and shear behaviors due to infill-frame interactions. This research details its reduced elastic modulus and shear failure characteristics, offering valuable data for structural analysis.

Keywords:

Mohr-Coulomb criterion dry stack masonry experiment shear-compression behavior uniaxial compression behavior

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Area of Science:

Structural Engineering
Materials Science
Civil Engineering

Background:

Dry stack masonry (DSM) behavior is complex, influenced by infill-frame interactions and brick joint behavior.
Further research is needed to fully understand the mechanical properties of DSM.

Purpose of the Study:

To investigate the compression and shear behaviors of dry stack masonry (DSM).
To analyze the influence of various loads on the shear-compression behavior of DSM.

Main Methods:

Compression tests on masonry prisms with mortar (MP_m) and DSM prisms (MP_ds).
36 shear-compression tests under cyclic loads on DSM specimens.

Main Results:

DSM prisms showed an initial upward concave stress-strain relationship, a 15% reduction in compression strength, and over a 62% reduction in elastic modulus compared to MP_m.
The Mohr-Coulomb friction law effectively models dry joint failure at moderate stress levels.
Varying friction coefficients under different load amplitudes are significant and cannot be overlooked.

Conclusions:

DSM exhibits distinct mechanical properties compared to traditional masonry, particularly in its elastic response.
The Mohr-Coulomb model is applicable to DSM shear failure, but friction coefficient variability must be considered.
Experimental data provides a foundation for future research on DSM behavior and design.