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Related Concept Videos

Unsymmetric Loading of Thin-Walled Members01:23

Unsymmetric Loading of Thin-Walled Members

Thin-walled members with non-symmetrical cross-sections are vital to engineering structures, offering material efficiency and structural integrity. However, unsymmetrical loading on these members leads to complex stress distributions, resulting in simultaneous bending and twisting can cause deformation or structural failure. The interaction between bending and twisting requires detailed analysis to ensure structural resilience.
The concept of the shear center is crucial in countering the...
Unsymmetric Loading of Thin-Walled Members: Problem Solving01:07

Unsymmetric Loading of Thin-Walled Members: Problem Solving

The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Design Example: Dimensioning of Concrete Masonry Construction01:13

Design Example: Dimensioning of Concrete Masonry Construction

For the construction of a storeroom using concrete masonry units, it's essential to align the dimensions of the structure with the actual sizes of the blocks and the intended mortar joints. On the site in question, there's a stockpile of concrete masonry blocks with a nominal size of eight by eight by sixteen inches, which are to be used in the construction of the storeroom.
The site engineer has laid out a plan for the storeroom with external dimensions of twelve feet in length and eight feet...
Design of Prismatic Beams for Bending01:23

Design of Prismatic Beams for Bending

The design of prismatic beams, structural elements with a uniform cross-section, focuses on ensuring safety and structural integrity under load. The design process begins by determining the allowable stress, either from material properties tables, or by dividing the material's ultimate strength by a safety factor. This safety factor is essential for accommodating uncertainties, and varies depending on the material—timber, steel, or concrete—with each having unique strength and stress...

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Related Experiment Video

Updated: May 28, 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

SABER-BIM: A Component-Level Adaptive Lightweighting Framework for Digital Twin BIM Models.

Zhengbing Yang1,2, Mahemujiang Aihemaiti1,2, Beilikezi Abudureheman1,2

  • 1College of Water Resources and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

SABER-BIM efficiently reduces Building Information Modeling (BIM) model complexity for digital twins. This method adaptively allocates component face budgets, improving geometric accuracy and engineering usability.

Keywords:
BIM lightweightingIndustry Foundation Classes (IFC)digital twinface-budget predictionmesh simplificationquadric error metrics (QEM)semantic awareness

Related Experiment Videos

Last Updated: May 28, 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:

  • Digital Engineering
  • Computer-Aided Design (CAD)
  • Geometric Modeling

Background:

  • Lightweighting Building Information Modeling (BIM) models for digital-twin applications is challenging due to the heterogeneity of components and the need to balance geometric reduction with engineering tolerances.
  • Existing simplification methods often use uniform ratios or heuristics, failing to adapt to varying component complexity and detail.
  • Learning-based approaches can be adaptive but struggle with enforcing and auditing engineering constraints.

Purpose of the Study:

  • To introduce SABER-BIM (Semantic-Geometric Co-driven Adaptive Budget Estimation and Reduction for BIM), a novel approach for lightweighting BIM models.
  • To formulate model simplification as a component-level face-budget allocation problem that respects semantic and geometric properties.
  • To develop an auditable and deployable pipeline for adaptive BIM model simplification.

Main Methods:

  • SABER-BIM predicts target face counts for individual BIM components based on Industry Foundation Classes (IFC) types and geometric descriptors.
  • A global scaling mechanism ensures adherence to a user-specified overall face budget.
  • Component budgets are executed using a robust geometric backend, such as Quadric Error Metrics (QEM), supported by an offline pseudo-ground-truth procedure for constraint satisfaction.

Main Results:

  • SABER-BIM demonstrates more effective budget allocation compared to existing methods under identical global constraints.
  • The method improves stability in controlling geometric error.
  • Engineering usability is enhanced through semantically aware tolerance and mesh-validity constraints.

Conclusions:

  • SABER-BIM provides an auditable and deployable solution for lightweighting BIM models, crucial for digital-twin applications.
  • The semantic-geometric co-driven approach enables adaptive simplification that respects engineering requirements.
  • This method advances the state-of-the-art in BIM model optimization for efficient digital engineering workflows.