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Related Concept Videos

Design Consideration01:22

Design Consideration

Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key aspect...
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...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Prismatic Beams: Problem Solving01:15

Prismatic Beams: Problem Solving

In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the designer...
Structural Steel Products01:24

Structural Steel Products

Structural steel products are created within a structural mill. The process begins with a beam blank that is reheated and then fed through a series of rollers. These rollers progressively shape the metal into its final form. Adjusting the spacings between the rollers allows for the production of different sections with the same nominal dimensions.
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 13, 2026

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

Bayesian-network-based safety risk assessment for steel construction projects.

Sou-Sen Leu1, Ching-Miao Chang

  • 1National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei 106, Taiwan.

Accident; Analysis and Prevention
|March 19, 2013
PubMed
Summary

This study introduces a Bayesian network (BN) model for steel construction safety, improving on traditional methods. The BN model effectively predicts occupational accidents by analyzing risk factor dependencies, enhancing site safety management.

Related Experiment Videos

Last Updated: May 13, 2026

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

Area of Science:

  • Construction Safety Engineering
  • Risk Assessment
  • Occupational Health

Background:

  • Steel construction (SC) projects face common accidents like falls, falling objects, collapses, and electrocution.
  • Traditional safety risk assessment methods (e.g., Fault Tree Analysis, Failure Mode and Effect Criticality Analysis) struggle with interdependencies between safety factors.
  • Existing methods lack the ability to provide early warnings for occupational accidents in steel construction.

Purpose of the Study:

  • To develop an advanced safety risk-assessment model for steel construction projects.
  • To overcome the limitations of traditional safety assessment approaches by addressing factor dependencies.
  • To establish a Bayesian network (BN) model for predicting and analyzing occupational accidents in steel construction.

Main Methods:

  • Developed a novel safety risk-assessment model using Bayesian networks (BN).
  • Transformed fault tree (FT) logic into a BN structure for enhanced analysis.
  • Validated the BN model using safety inspection records from 15 steel building construction projects (6 without accidents, 9 with accidents).

Main Results:

  • The BN model demonstrated high consistency between predicted posterior probabilities and actual site accidents.
  • The model accurately assessed site safety management by calculating risk probabilities.
  • Analysis of accident causes and relationships within the BN structure provided valuable insights.

Conclusions:

  • The developed BN-based model effectively enhances safety risk assessment in steel construction.
  • The model provides accurate predictions and facilitates the analysis of accident causality.
  • Implementing this model enables the establishment of targeted preventive safety strategies to reduce SC accidents.