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Related Concept Videos

Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Design Example: Joints in Concrete Pavements01:28

Design Example: Joints in Concrete Pavements

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Concrete pavement joints are essential for maintaining the structural integrity and longevity of pavement by controlling where and how the pavement cracks. These joints can be categorized based on their functions, such as contraction or control joints, construction joints, isolation joints, and expansion joints.
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Functional Classification of Joints01:09

Functional Classification of Joints

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Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
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Movement Joints in Buildings01:27

Movement Joints in Buildings

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Movement joints in buildings are essential design elements that accommodate inevitable motions caused by various factors such as temperature changes, moisture content variations, and structural deflections. These motions, if not considered in design and construction, can lead to unsightly or dangerous damage. Movement joints are incorporated in different forms to manage these stresses and allow materials to move without causing distress.
The simplest type of movement joints, working joints, are...
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Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

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Consider a truss structure with frictionless joints fixed to a wall and roller support. If a force of 150 N is applied to joint A, the forces in each member of the truss can be determined using the method of joints.
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Method of Joints: Problem Solving I01:30

Method of Joints: Problem Solving I

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The method of joints is a commonly used technique to analyze the forces in structural trusses. The method is based on the principle of equilibrium, which assumes that the truss members are connected by frictionless pins. The forces at each joint can be determined by considering the equilibrium of the forces acting on that joint. Consider a truss structure with two forces of 20 N and 10 N acting at joints C and D, respectively. The method of joints can be used to determine the forces FCB, FDC,...
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Detection and Quantification of Tunneling Nanotubes Using 3D Volume View Images
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Machine learning-based identification of segment joint failure in underground tunnels.

Zhisheng Jin1, Zihai Yan1,2, Haoran Fu1

  • 1MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Department of Civil Engineering, Zhejiang University, Hangzhou 310058, People's Republic of China.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|July 16, 2023
PubMed
Summary

This study introduces a back-propagation neural network (BPNN) to identify tunnel deformation modes, distinguishing bending from dislocation. This AI approach aids in assessing segment joint integrity and guiding engineering treatments for underground tunnels.

Keywords:
deep learninghealth diagnosislongitudinal differential settlementmachine learningsegment joint failuretunnel

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Area of Science:

  • Geotechnical Engineering
  • Artificial Intelligence
  • Structural Health Monitoring

Background:

  • Shield tunnels in soft soil face longitudinal differential settlement and deformation.
  • Distinguishing between bending and dislocation deformation is crucial for bolt failure analysis and engineering treatment.
  • Current detection methods for dislocation or opening are labor-intensive and costly.

Purpose of the Study:

  • To develop an innovative and efficient method for identifying longitudinal deformation modes in shield tunnels.
  • To accurately detect segment joint failure by distinguishing between bending and dislocation.
  • To provide a basis for determining segment joint validity and implementing appropriate engineering treatments.

Main Methods:

  • Collection of tunnel settlement data from East China soft soil subways.
  • Calculation of settlement-dislocation and settlement-opening datasets using an equivalent axial stiffness model.
  • Development and application of a back-propagation neural network (BPNN) regression model for predicting deformation.

Main Results:

  • The BPNN model successfully predicts dislocation and opening from tunnel settlement curves.
  • The method accurately determines the validity of segment joints based on predicted deformation.
  • Demonstrated efficiency through application to the Hangzhou Metro Tunnel.

Conclusions:

  • The developed BPNN method offers an effective and less labor-intensive approach for identifying tunnel deformation modes.
  • Accurate identification of deformation modes is vital for ensuring the long-term operational safety of shield tunnels.
  • This AI-driven technique contributes to the failure analysis of transportation infrastructure.