Free Online Flashcard Deck

5 Modeling and Analysis Free Online FlashCards

Study 5 Modeling and Analysis with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is an engineering model?

Back

A model is a simplified representation of reality, such as a sketch, prototype, equations, or simulation.

02
Front

What does engineering analysis do?

Back

Analysis uses a model and evidence to compare designs, predict performance, and identify risks.

03
Front

What does a system boundary define?

Back

The system boundary defines what is included in the system and what lies outside it.

04
Front

What should a measure of success connect to?

Back

Measures of success are measurable criteria connected to design requirements or stakeholder needs.

05
Front

How should engineers choose a model representation?

Back

Choose a representation that suits the question: diagrams show connections, equations predict quantities, prototypes reveal fit or usability, and simulations explore conditions.

06
Front

How complex should a model be?

Back

Use only as much complexity as needed to answer the design question; added detail is not always better.

07
Front

How should engineers handle modeling assumptions?

Back

An assumption simplifies a problem, such as treating a load as constant. State it explicitly and identify when it is reasonable.

08
Front

What does verification check?

Back

Verification asks whether the model and calculations were implemented correctly.

09
Front

What does uncertainty assessment examine?

Back

Uncertainty assessment examines how uncertainty in measurements, parameters, or assumptions could change a result.

10
Front

What does the simple spring model predict?

Back

The model predicts deflection with x=Fkx = \frac{F}{k}, where FF is applied force and kk is spring stiffness. It assumes linear behavior within the spring’s elastic range.

11
Front

How can an experiment test a spring model?

Back

Apply known loads to a prototype, measure its deflection, and compare the observations with the model’s predictions.

12
Front

How can engineers improve confidence in experimental measurements?

Back

Repeated trials and calibrated instruments improve confidence in measurements; tests should cover expected operating conditions when practical.