prof. Ing. Drahomír Novák, DrSc.

Institute of Structural Mechanics (STM)

Student is able to directly or via some approximation method (especially Cornell reliabilioty index) evaluate failure probability. Student is also capable of using simulation methods Monte Carlo and Latin Hypercube Sampling. Student create finite element method model of concrete beam failure in software Atena. Student randomize the model in Sara studio.

Knowledge from Elasticity, Structural mechanic, Probability and Statistics calculus.

Not applicable.

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During lectures, standard model of theory explanation using the blackboard and projector is used. In the training course, students themselves solves tasks on a paper or with a help of computer. In the second part of training, there is an individual task to create a finite element model of failure of concrete beam in Atena software and randomization of the model.

Conditions to get credit are (i) active presence in training course (two absences are allowed) and (ii) creation and randomization of finite element method model of concrete beam failure.
Students are examined through individual oral questioning.

Czech

Not applicable.

1.Introduction of reliability theory, reliability background of standards for structural design (Eurocodes), structural resistance and load action as two independent random variables, reliability condition, reserve of reliability.
2.Limit states and philosophy of design by standards; Reliability standards: theoretical failure probability, reliability index.
3.Numerical simulation method Monte Carlo in applications.
4.Computation model, model uncertainty, grosses errors.
5.Numerical simulation methods Latin Hypercube Sampling, Importace Sampling in applications, FORM, SORM approximation methods.
6.Linear elastic fracture mechanic - used of statistics and sensitivity analysis; verification and calibration of standards; design procedures.
7.Modeling of failure process in concrete structures; Fictive crack model, Fictive crack model and rotate crack model.
8.Reliability of the elements made of quasi-brittle materials, computations in ATENA code.

Stochastic model, reliability condition, numerical simulation methods, limit states, linear elastic fracture mechanics.

Extent and forms are specified by guarantor’s regulation updated for every academic year.

• Programme N-P-C-SI (N) Master's

  branch M , 2. year of study, winter semester, 4 credits, compulsory-optional
  

• Programme N-P-E-SI (N) Master's

  branch M , 2. year of study, winter semester, 4 credits, compulsory-optional
  

• Programme N-K-C-SI (N) Master's

  branch M , 2. year of study, winter semester, 4 credits, compulsory-optional
  

13 hours, compulsory

prof. Ing. Drahomír Novák, DrSc.

1. Recapitulation of probability and statistics using simple examples.
2. Examples on usage of Cornell reliability index.
3. Simple example to learn Monte Carlo simulation method using Excel.
4. Calculations of failure probability via Latin Hypercube Sampling in Excel.
5. More complex examples on simulation methods using Excel.
6. Linear elastic fracture mechanics, simple calculations.
7. Finite element method software Atena, creation of computational model.
8. Randomization of Atena model through Sara studio.

eLearning: currently opened course