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Related Concept Videos

Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it to...
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Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
Masonry01:28

Masonry

Masonry, known for its strength, durability, and aesthetic versatility, encompasses construction with solid stone or man-made units like bricks, clay tiles, terra cotta, and concrete blocks, combined to form structures like walls, floors, and arches. These units are placed in a systematic fashion, known as coursing, and are bound together using mortar—a mixture typically made of water, cement, and sand.
The process of building with masonry is hands-on and can be executed with basic tools. A...
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Mortar joint deterioration is a significant concern in masonry structures, with water accumulation in the joints leading to damage from freeze-thaw cycles. The repeated expansion of water during freezing and its melting during thawing develop and propagate cracks in the masonry joints. Eventually, this leads to the spalling of mortar from the joints, loosening masonry units and weakening the structure. The deteriorated mortar joints are also vulnerable to moisture intrusion into the walls.
The...
Brick Masonry01:12

Brick Masonry

Brick masonry uses bricks as the building blocks and involves building walls from individual bricks laid in mortar. The basic building block of brick masonry is the wythe, a vertical layer of bricks with a thickness of one brick. Within a wythe, bricks can be laid in various courses or patterns, with the most common being the stretcher course, where bricks are laid with their long edge horizontal and face parallel to the wall.
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Reinforced brick masonry is an advanced construction technique that enhances the structural integrity of brick walls by incorporating steel reinforcements. These reinforcements are either placed within the hollow cores of bricks or sandwiched between two layers of masonry, known as wythes, and are then secured in place with grout. Grout is a fluid mixture composed of Portland cement, aggregate, and water, providing the necessary bonding agent for the steel and brick.
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Updated: Jun 28, 2026

Practical Considerations for the Design, Execution, and Interpretation of Studies Involving Whole-Bone Bending Tests of Rodent Bones
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Automated data processing and analysis method for shaking table tests of masonry structures based on python

Zheng Yao1, Wang Yijun1

  • 1School of Urban and Rural Planning and Architectural Engineering, ShangLuo University, ShangLuo, PR China.

Science Progress
|June 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an automated Python framework for analyzing large seismic test data, improving efficiency and reproducibility. The new method successfully evaluated a masonry structure

Keywords:
automated processingdata analysismasonry structurepower spectral density (PSD)pythonshaking table test

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Area of Science:

  • Structural Engineering
  • Seismic Analysis
  • Data Science

Background:

  • Shaking table tests generate massive, complex datasets.
  • Manual data processing is inefficient and lacks transparency.

Purpose of the Study:

  • Develop an automated, transparent data processing framework for structural dynamic testing.
  • Enhance seismic performance evaluation of structures.

Main Methods:

  • Utilized an open-source Python toolchain for end-to-end data analysis.
  • Implemented automated raw data alignment, signal pre-processing, and time-frequency analysis.
  • Integrated an automated structural health evaluation module using Power Spectral Density (PSD).

Main Results:

  • The framework successfully processed high-density shaking table test data.
  • Identified a low-pass filtering effect in a scaled masonry structure (2-4 Hz natural frequency).
  • Detected displacement amplification but no significant stiffness degradation under seismic loading.

Conclusions:

  • The proposed Python framework offers a scalable, reproducible, and efficient solution for seismic big data analysis.
  • Provides a transparent alternative to commercial "black-box" software.
  • Enables rapid structural health evaluation post-seismic events.