“Guidelines For Incorporating Safety and Health Into Engineering Curricula, Volume 2: Safety and Health Topics For Engineering Programs.”
| Copyright ©
1998 Joint Council For Health, Safety, and Environmental Education of Professionals 1800 East Oakton Street Des Plaines, IL 60018-2187 http://www.ilstu.edu/~edorner/jchseep/jchseep.htm |
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This packet is the result of the Joint Council for Health, Safety, and Environmental Education of Professionals plan to incorporate public and occupational safety and health into engineering schools’ curriculum. A set of guidelines are presented to facilitate incorporation into the curriculum. Topics covered include:
| - | Mathematics and basic sciences |
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Chemistry (including toxicity, human health effects, exposure limits, MSDS, risk assessment, PHA, etc.) |
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Physics |
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Life sciences (Toxicology and Epidemiology) |
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Earth sciences (Hydrology, groundwater pollution, hazardous waste disposal) |
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Computers and computer programming |
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Descriptive and inferential statistics |
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Engineering sciences |
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Mechanics (fluids, soils) |
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Electricity and electronic circuits |
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Engineering design (risk analysis and management, PHA, FMEA, FTA, ETA) |
The outcomes of safety and health training are included as an appendix. A selected readings list is presented as Appendix B.
Possible courses for integration: Fluids, Statics, Control Systems/Mechatronics, Design
Case studies and examples:
| Mathematics | |
| A | Example problem: Exponential Growth and Decay. This problem addresses safety and health considerations for engineers using differential calculus, using exponential growth and decay. |
| Physics | |
| B | Example problem: Maximum Stopping Distance. This problem deals with maximum stopping distances dependent on the static friction coefficient. |
| C | Example problem: Newton’s Laws and the Momentum Principle. This problem combines Newton’s Laws and the momentum principle to address why gas storage cylinders should be lashed to a vertical support. |
| Descriptive and Inferential Statitics | |
| D | Example problem: Hazardous Waste. Statistical values were calculated for the cyanide content of waste pickling liquor. |
| E | Example problem: Hydrogen Sulfide Content. Statistical values were calculated for the hydrogen sulfide content of two cylinders of calibration gas. |
| F | Example problem: Tensile Strengths. Statistical values were obtained for tensile strengths of synthetic fibers used for parachute cords. |
| G | Example problem: Hazardous Waste. The mean cyanide content of the pickling waste is calculated. |
| H | Example problem: Cotton Dust Sampling. Statistical values were calculated to determine if a vertical elutriator complies with a standard flow rate. |
| I | Example problem: Cotton Dust Sampling. Statistical values were used to find the range of the mean flow rate limits for cotton dust. |
| Fluids | |
| J | Example problem: Air Contaminants in an Industrial Operation. The flow rate of air traveling through an exhaust hood was determined. |
| K | Example problem: Static Pressure in a Duct. The two components of static pressure in a duct were found using conservation of mass and energy equations. |
| Soils | |
| L | Example problem: Excavation Sideslopes. The steepest allowable sideslope for an excavation in silty clay was calculated. |
| M | Example problem: Lateral Soil Pressure. A continuation of the excavation sideslope problem, the lateral soil pressure was determined for a shoring or shielding system. |
| Electricity and Electronic Circuits | |
| N | Example problem: Current Paths. The current flow through a person was determined for when the person was holding an energized circular saw case, non-grounded. |
| Engineering Design | |
| O | Example problem: Fault Tree. A fault tree was constructed for a pump, valve, and tank system. |
| P | Example problem: Variation on the Fault Tree Problem. A fault tree was constructed for a modified pump, valve, and tank system. |
| Q | Example problem: Inherent Safety Example. Inherently safer alternate designs for a water treatment plant near a school were suggested. |
| R | Example problem: Human Factors Procedures. A poor operating procedure rewritten to be less conducive to human error. |