Strength of Materials & Mechanics
Mechanical engineering calculators for stress, strain, strength checks and basic component design.
About Strength of Materials & Mechanics
Strength of materials can feel abstract and overwhelming at first — stresses, strains, beams bending all over the place… but it is one of the most essential fields in mechanical engineering. And we are here to make it easier.
Instead of digging through handbooks, you can solve your mechanical design problems faster and with confidence using our engineering calculators. Need bending stress for a loaded beam? Done. Checking shear and torsion? Easy. Wondering if your column will buckle? We’ll show you the critical load in seconds.
Whether you are selecting the right section modulus, evaluating stiffness, verifying safety factors or estimating material performance — we’ve got the exact tools you need. From axial loads to deflection and stability, every calculator is built for precision, clarity and speed.
Stop guessing. Start designing with certainty — explore the calculators below and put mechanics to work for you.
FAQ
Stress is internal force per unit area (Pa). These calculators provide engineering estimates for normal and shear stresses — use them as first checks; for safety-critical designs verify with standards and FEA.
Input units are selectable per field. We convert internally to SI (N, m, Pa). Always check the selected units next to each input to avoid unit mistakes.
Stress describes the internal force per unit area acting within a material, while strain represents the resulting deformation relative to the original dimensions. Stress is a cause, whereas strain is the effect.
Common assumptions include linear elastic material behavior, small deformations, uniform material properties, and simplified loading conditions. These assumptions allow analytical solutions but may not capture complex real-world effects.
Numerical methods, such as finite element analysis (FEA), should be used when geometry, loading, or material behavior is too complex for simplified analytical models, or when higher accuracy is required.