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Related Concept Videos

Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

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.
Method of Joints: Problem Solving I01:30

Method of Joints: Problem Solving I

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,...
Internal Loadings in Structural Members: Problem Solving01:28

Internal Loadings in Structural Members: Problem Solving

When designing or analyzing a structural member, it is important to consider the internal loadings developed within the member. These internal loadings include normal force, shear force, and bending moment. Engineers can ensure that the structural member can support the applied external forces by calculating these internal loadings.
To illustrate this, let's consider a beam OC of 5 kN, inclined at an angle of 53.13° with the horizontal and supported at both ends. Determine the internal loadings...
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
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Structuralism01:26

Structuralism

Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
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Structural Steel Products01:24

Structural Steel Products

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Once shaped, the steel's final form emerges as a continuous length, which is then segmented by a hot saw into manageable pieces. These segments are...

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Related Experiment Video

Updated: May 10, 2026

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

The structural approach to shared knowledge: an application to engineering design teams.

Mark S Avnet1, Annalisa L Weigel

  • 1Massachusetts Institute of Technology, Cambridge, USA. avnet@alum.mit.edu

Human Factors
|July 9, 2013
PubMed
Summary
This summary is machine-generated.

Analyzing shared knowledge in engineering design teams reveals that increased shared knowledge correlates with system development time, mass, and technological maturity. Early learning and consensus building can benefit engineered system design.

Related Experiment Videos

Last Updated: May 10, 2026

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

Area of Science:

  • Engineering Design
  • Cognitive Science
  • Systems Engineering

Background:

  • Prior research on shared knowledge in engineering design teams was limited to small groups at single time points.
  • The proposed methodology offers a scalable and dynamic approach to analyzing shared knowledge.

Purpose of the Study:

  • To introduce a novel methodology for analyzing shared knowledge within engineering design teams.
  • To provide a scalable and dynamic model for understanding the evolution of shared knowledge over time.

Main Methods:

  • Quantifying common views of design drivers to construct networks of shared mental models.
  • Analyzing the structure of shared knowledge at different time points using network comparisons.
  • Developing a metric to quantify changes in shared knowledge.

Main Results:

  • A correlation was found between the change in shared knowledge and system attributes such as development time, mass, and technological maturity.
  • Analysis of 12 conceptual space mission design sessions provided empirical evidence for the proposed methodology.
  • The study highlights the dynamic nature of shared knowledge in engineering design.

Conclusions:

  • An initial phase of learning and consensus building appears beneficial for the design of engineered systems.
  • Shared knowledge is demonstrably linked to technical design outcomes, offering a basis for improving design processes.
  • This research lays the groundwork for enhancing engineering design products by integrating team knowledge effectively.