Computer-Assisted Engineering Mechanics for Law Enforcement Crash Reconstruction Professionals
This ACTAR-Accredited advanced course is intended for intermediate to senior crash reconstruction professionals working in law enforcement or forensic engineering. It is a hands-on and intensive course offering a deep-dive into advanced crash reconstruction topics beyond billiard ball physics. The course involves computer-aided applied engineering methods to crash reconstruction: Planar Impact Mechanics and the relationship with Momentum, Rotational motion, and Energy. Attendees are welcome to bring complex crashes to the expert round tables in order to refine the solution.
Course Location & Dates
5 days, 8:30am – 4:30pm
Fixed pricing available for groups of 15 or more
Interested in booking this course at your station or office?
Instructors are also available to teach the course anywhere in Canada and internationally for groups of 15 or more at a fixed-cost. To book a private group course at your facility, please contact us for fixed pricing and scheduling: 416-977-0009 or email@example.com
By completing the course, participants will:
- Refine their capabilities in the multiple facets of crash reconstruction by applying engineering and physics principles to the available physical evidence;
- Be trained to use a powerful computer-based application to reconstruct collisions more efficiently and with greater certainty in comparison to traditional hand-calculations.
- Earn 35 CEUs (Continuing Education Units) from ACTAR (Accreditation Commission for Traffic Accident Reconstructionists).
Participants will explore the various analytical methods which directly affect crash cause analysis. By learning advanced methodologies of crash dynamics such as planar impact mechanics, rotational motion, momentum, and energy, experts will gain a detailed understanding of linear and rotational pre- and post-impact speed and speed change calculations. The benefits, limitations and effects of each method are carefully explored.
Most importantly, the instructors will tie everything together by demonstrating how to integrate the results and data from several methods, sources, and the available physical evidence by using a simple yet versatile tool: The Reconstructionator. Participants will be trained on how to properly use this tool in their analysis, through several case examples and discussions.
The Reconstructionator is an ExcelTM – based customized application that estimates, based on physical evidence, crash speeds and vehicle dynamics primarily using the following principles of physics:
- Momentum (linear and rotational from the area of impact and vehicle rest positions)
- Energy (vehicle crush damage and automated stiffness coefficients from crash tests)
The Reconstructionator is also capable of Motion analysis (including planar impact mechanics) and can further incorporate current EDR data that may have been properly preserved to more rigorously estimate vehicle pre-impact and post impact dynamics such as post impact spin.
Furthermore, participants will also learn how the Reconstructionator efficiently estimates ranges and certainties regarding crash speeds by employing basic statistical tools or more complex ones such as as the Monte Carlo Method. Case studies and real world examples will be used throughout and the course includes a half-day group assignment and presentation. Attendees are encouraged to bring their complicated case studies to the course.
Day 1: Newtonian Physics Refresher and Overview of Crash Mechanics
- Motion, Work, Force, Impulse (1.5 hours)
- Momentum and Limitations (2 hours)
- Momentum and speed calculations in the Reconstructionator (2 hours)
- Intersection crash case examples (1.5 hours)
Day 2: Energy, Crush and Stiffness Coefficients
- Interpreting crash test data (regulatory and vehicle-to-vehicle) and Limitations (1.5 hours)
- Energy, crush deformation and Force Balance (2 hours)
- Automated stiffness coefficients in the Reconstructionator (2 hours)
- Head-on crash case examples (1.5 hours)
Day 3: Planar Impact Mechanics of bodies
- Simplifying the post impact rotational momentum (1.5 hours)
- Reconstruction of crashes involving pre-impact steering, yaw and/or post crash spin (2 hours)
- Speed changes from momentum and energy (2 hours)
- Offset and oblique/turning movement crash case examples (1.5 hours)
Day 4: Validation, EDR Data, and Reporting
- Real-world crash test data and the Reconstructionator results (1.5 hours)
- Inclusion of EDR data to analyze pre-impact yaw rate, crash pulse, delta-t, peak and average crash accelerations (2 hours)
- Additional variables to be considered: Restitution, tire forces, in different scenarios and crash configurations (2 hours)
- Reporting results, assumptions and error in the Reconstructionator (1.5 hours)
Day 5: Statistics 101 (Average, Standard Deviation, range, certainty and error)
- Repeating the calculations automatically: Monte Carlo Method (1.5 hours)
- Case Examples using stats (1.5 hours)
- Multi-disciplinary group case studies and presentations (4 hours)
By completing this course, you will earn 35 CEUs (Continuing Education Units) from ACTAR (Accreditation Commission for Traffic Accident Reconstructionists).
Course Audience & Pre-requisites
This advanced course is intended at intermediate to senior crash reconstruction professionals working in law enforcement or forensic engineering.
This 5-day course builds beyond the fundamental technical knowledge and skills required for crash reconstruction. Attendees are required to have:
- Previous experience with: interpreting physical evidence resulting from traffic crashes, crash investigations, crash analysis, motion analysis, and linear momentum calculations.
- At least some basic experience using Microsoft Excel is necessary.
- A science or engineering degree, or level 4/5 Crash Reconstruction Courses with ACTAR or similar accreditation.
Attendees are encouraged to bring a laptop and/or computer tablet with Microsoft Excel installed.
Sam Kodsi, P.Eng.
Sam Kodsi, P.Eng. is a Crash Reconstructionist and the President of Kodsi Forensic Engineering. He is a registered Consulting Professional Engineer (Mechanical) in Ontario and a Certified CDR Analyst. Mr. Kodsi became active in automotive engineering safety including seatbelt effectiveness using biofidelic crash test dummies in 1995 and began specializing in Crash Reconstruction in 1997. Over the last 20 years, Sam has been involved in more than 5,000 motor vehicle collision reconstructions and has testified 67 times as an expert witness in all branches of Ontario courts. Sam is a published author (SAE and ARJ) and volunteers to peer review other international research prior to publication. His continuing education includes a master’s course in Vehicle Dynamics at the University of Illinois and diplomas/certificates in Advanced Crash Reconstruction at the University of North Florida and Human Factors in Vehicle Crashes at Northwestern University. He has a passion for testing, advancing further research and educating. He has been leading lectures and seminars on crash reconstruction, driver behaviour and forensic injury biomechanics for law enforcement, legal, insurance, medical and other professionals for the past 10 or more years.
Shady Attalla, P.Eng.
Shady Attalla, P.Eng.,is a Crash Reconstructionist and the Technical Director of Kodsi Forensic Engineering. He is a registered Professional Engineer in Ontario and a Certified CDR Analyst. He has been an active member of the crash reconstruction industry since 2008, during which time he has been directly involved in more than 1200 technical investigations and has been the lead engineer in more than 700 technical investigations. Mr. Attalla’s experience ranges from investigating incidents involving automobiles, pedestrians, cyclists, motorcycles, to analyzing mechanical failures. Mr. Attalla is a published author and has qualified to provide expert evidence in the Ontario Court of Justice.
Course Sample Material
Below you can download an excerpt of the powerpoint slide deck used in the course. To view the sample material, you will require a password.