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Question		Answer
Strength grading start learning		certifies wood
Stiffness start learning		resists bending
Density start learning		predicts strength
Bending testing start learning		breaks timber
Tension testing start learning		pulls fibers
Design values start learning		guide engineers
Characteristic value start learning		guarantees safety
Visual grading start learning		inspects defects
Machine grading start learning		measures quality
Knot size start learning		reduces strength
Slope of grain start learning		weakens board
Yield start learning		calculates profit
Strength class start learning		categorizes timber
Secondary properties start learning		depend on primary
Indicating parameter start learning		points to strength
Moisture content start learning		changes weight
Acoustic grading start learning		uses sound
Standardization start learning		unifies rules
Structural use start learning		supports loads
Softwoods start learning		grow fast
Hardwoods start learning		are dense
Glulam start learning		bonds layers
Growth area start learning		affects quality
Deviation start learning		lowers grade
Appearance grading start learning		values look
Mechanical properties start learning		define performance
Modulus of Elasticity (MOE) start learning		measures stiffness
Non-destructive testing start learning		saves material
Safety factor start learning		prevents collapse
Load-carrying capacity start learning		limits weight
Sample start learning		represents population
Knots start learning		disrupt grain
Standard start learning		sets requirements
Algorithm start learning		processes data
Correlation start learning		links two values
Batch start learning		arrives at factory
Coefficient start learning		adjusts calculation
Timber population start learning		groups logs
Ultimate strength start learning		shows limit

Strength grading basic

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