Keywords: Meltdown (3)

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Integration of Reactor Design, Operations, and Safety, Fall 2006
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Integration of Reactor Design, Operations, and Safety, Fall 2006

This course integrates studies of engineering sciences, reactor physics and safety assessment ... (more)

This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations. (less)

Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Provider:
M.I.T.
Provider Set:
MIT OpenCourseWare
Author:
Todreas, Neil
Nuclear Reaction: Meltdown
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Nuclear Reaction: Meltdown

What happens when a nuclear reactor overheats? This video segment adapted from ... (more)

What happens when a nuclear reactor overheats? This video segment adapted from FRONTLINE looks at the nuclear reactor meltdown at Chernobyl, the worst accident of its kind. ***Access to Teacher's Domain content now requires free login to PBS Learning Media. (less)

Subject:
Science and Technology
Chemistry
Engineering
Physics
Technology
Material Type:
Activities and Labs
Provider:
PBS LearningMedia
PBS Learning Media
Provider Set:
PBS Learning Media: Multimedia Resources for the Classroom and Professional Development
Teachers' Domain
Author:
National Science Foundation
WGBH Educational Foundation
Probability And Its Applications To Reliability, Quality Control, And Risk Assessment, Fall 2005
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Probability And Its Applications To Reliability, Quality Control, And Risk Assessment, Fall 2005

Interpretations of the concept of probability. Basic probability rules; random variables and ... (more)

Interpretations of the concept of probability. Basic probability rules; random variables and distribution functions; functions of random variables. Applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. Elements of statistics. Bayesian methods in engineering. Methods for reliability and risk assessment of complex systems, (event-tree and fault-tree analysis, common-cause failures, human reliability models). Uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling). Introduction to Markov models. Examples and applications from nuclear and chemical-process plants, waste repositories, and mechanical systems. Open to qualified undergraduates. (less)

Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Provider:
M.I.T.
Provider Set:
MIT OpenCourseWare
Author:
Golay, Michael
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2002 llaF ,gnivloS melborP gnireenignE dna sretupmoC ot noitcudortnI

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.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni smelborp gnivlos rof seuqinhcet gnipoleved no si sisahpmE .scipot decnavda detceles dna scihparg retupmoc ,gnihcraes dna gnitros ,serutcurts atad ,sdohtem laciremun ,secafretni resu lacihparg ,stpecnoc gnimmargorp revoc smelborp gnimmargorp ylkeeW .esruoc eht fo sucof eht si tnempoleved dna ngised erawtfos detneiro-tcejbO .snoitacilppa cifitneics dna gnireenigne rof sdohtem lanoitatupmoc dna tnempoleved erawtfos latnemadnuf stneserp esruoc sihT (less)