Lecture 3 - Hazards and Controls Flashcards

1
Q

What are hazards?

A

Hazards are a risk source, often classified into groups

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2
Q

What is a control?

A
  • A control is defined in ISO 31000:2018 as a “measure that maintains and/or modifies risk.”
    1. Note 1: controls include, but are not limited to, any process, policy, device, practice or other conditions and/or actions which maintain and/or modify risk.
    2. Note 2: controls may not always exert the intended or assumed modifying effect.
  • There is a hierarchy of controls (see slides)
  • Engineering Controls and assuring their performance standards are adhered to is a key focus in safety management systems.
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3
Q

What are barriers?

A

Barriers are a type of ENGINEERING RISK CONTROL
* Aimed at separating people from the hazard
* Barriers can be tangible physical barriers (walls, pipes, cladding) or use distance from hazard to source, or provide shielding for the subject e.g. PPE, bunkers.

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4
Q

How to identify challenges to engineering controls?

A
  • Once controls are identified, the requirements for maintaining each barrier also needs to be identified.
  • We need to identify what is needed to maintain the integrity of each barrier.
  • This is because barriers can fail due to:
  • Physical processes (deformation, erosion, corrosion, loss of toughness and yield strength, change in material properties, internal/ external forces.
  • Malfunction of equipment.
  • Human practices and decisions
  • Poor design or maintenance
  • Adverse natural phenomena
  • And many other reasons….
  • Our expectations about the performance of the barriers has to be tested
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5
Q

How to establis consequences for failure of engineering controls

A

Consequence estimates are often complex and require an estimation of who and what is impacted and the nature of the impact.
* In some industries it is a requirement to use formal methods to identify hazards, scenarios, barrier, likelihood and consequence estimates.
* A practice in high hazard industries is quantitative risk assessment (QRA) which uses models and numbers to quantify both the likelihood and consequence of events.

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