Impact Experiments
Impact Experiments - Related Videos
06:58
The Factorial Experiment
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University A factorial design is a common type of experiment where there are two or more independent variables. This video demonstrates a 2 x 2 factorial design used to explore how self-awareness and self-esteem may influence the ability to decipher nonverbal signals. This video leads students through the basics of a factorial design including, the nature of a factorial design and what distinguishes it from...
01:19
Impact of Groups on Groups
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2025
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
08:59
The Simple Experiment: Two-group Design
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University A two-group design is the simplest way to establish a cause-effect relationship between two variables. This video demonstrates a simple experiment (two-group design). In providing an overview of how a researcher conducts a simple experiment (two-group design), this video shows viewers the process of turning ideas into testable ideas and forming hypothesis, the identification and effect of...
01:12
What is an Experiment?
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2023
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
07:35
The Multi-group Experiment
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University A multi-group design is an experimental design that has 3 or more conditions/groups of the same independent variable. This video demonstrates a multi-group experiment that examines how different interethnic ideologies (multiculturalism and color-blind) influence feelings about diversity and actions toward and out-group member. In providing an overview of how a researcher conducts a multi-group...
FAQs
These measurements describe different parts of the same dynamic event. Impact energy indicates the severity of the loading, contact force shows how the interaction develops, and deformation records how the specimen responds. Examining them together helps engineers determine whether a material or structure absorbs and dissipates energy effectively rather than concentrating it in damaging regions.
Fracture behavior shows how the specimen ultimately responds when deformation cannot continue safely. Recording whether and how cracking or breakage occurs adds information that force and deformation measurements alone may not provide. Engineers can use this evidence to assess toughness and identify failure behavior relevant to components or structures exposed to collisions or sudden operational loads.
Measured impact energy, contact force, deformation, and fracture behavior provide experimental results against which computational predictions can be compared. Agreement between the calculated and observed responses increases confidence that a model represents the tested system under dynamic loading. Differences can reveal where the model needs improvement before engineers apply it to design evaluation or failure prediction.
A study begins by selecting a material, component, or structure and exposing a specimen to a controlled rapid force or collision. Instruments then record the relevant response variables, including impact energy, contact force, deformation, and fracture behavior. Engineers analyze these measurements to evaluate strength, toughness, energy dissipation, safety, and the likelihood of failure.
Engineers compare the recorded responses under the tested dynamic conditions rather than relying on a single measurement. Differences in absorbed or dissipated energy, contact force, deformation, and fracture behavior can distinguish how candidate materials, components, or structures respond. This comparison supports choices aimed at improving protective performance, load-bearing capability, or safety.
The results support designs for vehicles, machinery, infrastructure, and other systems that may experience accidental or operational impacts. Engineers use the evidence to improve protective and load-bearing designs, evaluate safety, and predict failure. The same data can also help validate computational models, linking controlled laboratory observations with decisions about real engineering systems.