πŸ”¬ SciOly Knowledge Base

Bungee Drop

Each team designs and pre-builds one elastic bungee cord. At competition, they perform two regulated drops (plus a bonus…

Event Overview

Inquiry & Nature of Science Hybrid 2 participants

Each team designs and pre-builds one elastic bungee cord. At competition, they perform two regulated drops (plus a bonus drop) from a given height, attempting to bring a hanging mass as close as possible to β€” without touching β€” a landing surface.

πŸ“ Build component (pre-built bungee cord) combined with precision performance at competition. Returned to event lineup in 2026.

πŸ“– Study Guide

Bungee Drop

Category: Inquiry & Nature of Science

Format: Hybrid (Build + Precision Performance)

2026 Topic: N/A

Participants: 2

What It Is

Bungee Drop is a precision engineering event in which teams pre-design and build a custom elastic bungee cord. At competition, the cord is attached to a mass and dropped from a specified height β€” the goal is to bring the mass as close as possible to a target surface without touching it.

What to Know

  • Elastic potential energy, kinetic energy, and energy conservation
  • Hooke's Law and spring/elastic cord mechanics
  • Factors affecting bungee cord behavior: cord material, cross-section, length, number of strands
  • How to model and predict maximum extension of an elastic cord under a given load
  • Sources of error and variability: temperature effects on elasticity, manufacturing variation, drop height precision
  • Drop kinematics: free fall, transition to elastic deceleration, oscillation

Competition Format

Teams bring their pre-built bungee cord to the event. Two regulated drops (plus a bonus drop) are performed from a specified height using a given mass. Scoring is based on how close the mass gets to the target surface without touching it. Each drop is measured independently.

Notes

  • Returned to the Science Olympiad lineup in 2026 after a period off the rotation.
  • Calibration and testing before competition is critical β€” material behavior must be well-characterized.
  • The height and mass used at competition may differ from what teams practiced with, so understanding the underlying physics (not just trial-and-error) is essential.
  • No AI tools allowed during competition.