Pedestrian (Snedeker 2003)¶

Model validation information

• Performed by: Nico Erlinger
• Reviewed by: Corina Klug

Added to VIVA+ Validation Catalog on 2022-11-30 by Corina Klug

Version	Date	Performed by	LS-Dyna
	2022-11-30	Nico Erlinger	9.3.1
0.3.2	2023-11-23	Corina Klug	9.3.1
1.1.1	2024-05-22	Matej Kranjec	12.2.1

© 2019-2024, OpenVT Organization (OVTO)

Available openly under under Creative Commons Attribution 4.0 International License

References¶

Experiments by Snedeker et al. (2003)¶

Snedeker, J.G., Muser, M.H., Walz, F.H., 2003. Assessment of pelvis and upper leg injury risk in car-pedestrian collisions: comparison of accident statistics, impactor tests and a human body finite element model. Stapp Car Crash J 47, 437–457. References

Snedeker, J.G., Muser, M.H., Walz, F.H., 2003. Assessment of pelvis and upper leg injury risk in car-pedestrian collisions: comparison of accident statistics, impactor tests and a human body finite element model. Stapp Car Crash J 47, 437–457. Snedeker, J.G., Walz, F.H., Muser, M.H., Schroeder, G., Mueller, T.L., Müller, R., 2006. Microstructural insight into pedestrian pelvic fracture as assessed by high-resolution computed tomography. Journal of Biomechanics 39, 2709–2713. https://doi.org/10.1016/j.jbiomech.2005.09.008.

VIVA+ validation¶

Manuscript currently under preparation

Information on the subjects/specimens¶

PMHS	Sex	Height [cm]	Weight [kg]	Age [yr]	Scale factor z (height)	Scale factor xand y (weight)
T1	f	160	50	52	0.99	0.89
T2	f	166	74	76	1.03	1.08
T3	m	177	75	32	1.01	0.98
T4	m	180	64	78	1.03	0.90
T5	m	172	60	76	0.98	0.89

Loading and Boundary Conditions¶

The vehicle shapes are differing in the different loadcases, which is shown exemplary for loadcase T1 & T5 in the figure below.

The initial velocity of the vehicle and its deceleration is prescribed. Open Issue: Implement damping to adress vehicle front oscillations (visible in energy plots).

Experimental responses¶

The experimental responses from the original papers were digitalised.

Simulation metadata¶

In [3]:

# Your name 
name="Matej_Kranjec"

# LS-Dyna version (if you have not run the simulations on your own, fill in "example"):
dyna_executable_name="ls-dyna_mpp_s_R12.2.1_86_winx64_ifort170_msmpi"

# Overall number of CPUs
n_cpu = "40"

# Platform (from d3hsp file)
platform = "MS API x86_64"

# OS Level (from d3hsp file)
os_level = "Windows 11" 

# Do not change! Date is filled in automatically
date = datetime.date.today().strftime("%Y-%m-%d")

# Your name name="Matej_Kranjec" # LS-Dyna version (if you have not run the simulations on your own, fill in "example"): dyna_executable_name="ls-dyna_mpp_s_R12.2.1_86_winx64_ifort170_msmpi" # Overall number of CPUs n_cpu = "40" # Platform (from d3hsp file) platform = "MS API x86_64" # OS Level (from d3hsp file) os_level = "Windows 11" # Do not change! Date is filled in automatically date = datetime.date.today().strftime("%Y-%m-%d")

In [5]:

# write metadata
metadata={
  "date": date,
  "name": name,
  "n_cpu": n_cpu,
  "dyna_executable_name": dyna_executable_name,
  "platform": platform,
  "os_level": os_level
}

with open(os.path.join(processed_data_dir, simulation_meta_file_name), 'w+') as f:
  json.dump(metadata, f, indent=4)

# write metadata metadata={ "date": date, "name": name, "n_cpu": n_cpu, "dyna_executable_name": dyna_executable_name, "platform": platform, "os_level": os_level } with open(os.path.join(processed_data_dir, simulation_meta_file_name), 'w+') as f: json.dump(metadata, f, indent=4)

Results¶

Trajectories¶

Femur and Tibia strains¶

Energy time histories¶

Plotting peak strains of tibia and femur on IRCs¶

	Simulation	Tibia fracture probability [%]	Experiment tibia fracture	Femur fracture probability [%]	Experiment femur fracture
0	T1	99.99	no	4.12596	no
1	T2	99.99	no	2.69578	no
2	T3	99.99	yes	2.70425	no
3	T4	99.99	yes	8.0442	no
4	T5	98.1308	yes	4.57149	no

Head impact times¶

	Simulation	First leg contact [ms]	First head contact [ms]	HIT [ms]
0	T1	4.0	124.0	120
1	T2	1.0	131.0	130
2	T3	2.0	146.0	144
3	T4	3.0	102.0	99
4	T5	3.0	99.0	96