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Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Sound reception mechanism analysis of a Cuvier’s
beaked whale (Ziphius cavirostris)
Ivana Escobar
May 27, 2016
Department of Structural Engineering
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Overview
Problem Statement
Motivation
Numerical Approach
Modeling Approach
Boundary Conditions
Relative Velocity
Results
Stapes Velocity Transfer Function
Mesh Refinement
Parametric Study
Audiogram
Conclusion
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Problem statement
Simulate sound reception of the Ziphius ear complex with two
mechanisms that enable hearing; pressure loading from
surrounding soft tissues and bone conduction from skull
vibration4. (Software: MATLab with FinEALE, an open
source program) [4]
Compare mesh discretization and parametric values of
amplitudes and phase shifts, used in loading, and material
damping coefficients.
Generate a synthetic audiogram from the stapes velocity
transfer function (SVTF) based on relative displacement of
the hearing structure.
4
T.W. Cranford and P. Krysl (2015)
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Motivation
Anthropogenic sound in the ocean,
such as sonar, has been related to
mass strandings of marine life, in
particular the Cuvier’s beaked
whale (Ziphius cavirostris).
Provide insight on the auditory
sensitivity of the Cuvier’s beaked
whale and its ability to capture
sound in the known range of
mid-frequency sonar2. [2]
2
T. M. Cox et al. (2006) Source: 2015 c Nat’l Resources Defense
Council / Int’l Fund for Animal Welfare
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Numerical approach
Matrix form
M¨u + C ˙u + Ku = F
Force vector composed of applied body loads and tractions.
F = F¯b + F¯t
Harmonic behavior applied to loading and nodal displacement
F = ˜Feiωt
and u = ˜ueiωt
Reducing the equation to time-independent components
−ω2
M˜u + iωC˜u + K˜u = ˜F
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Numerical approach
Assumed-strain formulation weakly enforcing the kinematic
equation6 [6]
= Bu
After spacial discretization with linear tetrahedrals, the strain
energy is approximated as
Ψe =
i,j=1 q=1
1
2
[uT
i (BNi (xq))T
D(BNj(xq))uj].
Nodally integrated continuum elements (NICE)5 [5]
Nk(xq) = e
Nk(ξ(xq)) adj(J(xq))J (xq)Wq
e
J (xq)Wq
5
P. Krysl and H. Kagey (2012)
6
P. Krysl and B. Zhu (2008)
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Ziphius tympanoperiotic complex (TPC)
Skull view from bottom without the mandible3
[3]
3
T.W. Cranford and P. Krysl (2012) Source: 2012 c Springer
Science+Business Media, LLC
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Two applied loading mechanisms
Pressure loading (P)
From mandibular fat body
branches interacting with the
tympanic bone
t = Peiφp
· n
blabla
hihihi
one more
TPC pressure transfer
function (TPTF)4 [4]
Bone conduction (U)
From skull-vibration through
the periotic bone
¯b = [¯bx
¯by
¯bz]T
¯bx = −ω2
ρboneUx ,
¯by = −ω2
ρboneUy eiφy
,
¯bz = −ω2
ρboneUzeiφz
.
Periotic-bone displacement
transfer function (PDTF)4 [4]
4
T.W. Cranford and P. Krysl (2015)
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
From VibroAcoustic toolkit (VATk) simulations
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Boundary Conditions
Body load applied on all volume elements in the domain for
bone conduction.
Nodes are fixed at the connection of the periotic bone to the
rest of the skull.
Traction applied on specified surface elements where the
mandibular fat bodies connect with the tympanic bone for
pressure loading.
Soft tissue surrounding the tympanic bone dissipates energy
as ramped damping, 0 Hz to 2, 000 Hz and held constant
after, on a prescribed surface.
The stapes footplate in contact with the cochlear fluid, which
is modeled as damping along the footplate surface.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Boundary Conditions
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Boundary Conditions
Using cochlear impedance reported for humans1 [1]
Z ≈ 95, 488 [Pa · m−1 · s].
1
R. Aibara et al. (2001)
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Relative velocity of stapes footplate
Model solution
Displacement found at points,
˜ust and umean = (
4
i=1
˜ui )/4.
Relative displacement,
ur = ˜ust − umean.
In normal direction of footplate,
m, as ust = |ur · m|.
Relative velocity,
vst = ωust.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Stapes Velocity Transfer Function (SVTF)
Relates output from stapes motion to cochlear input from sound
occuring underwater.
SVTF = vst
Pinc
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
SVTF
Isolating each mechanism to only bone conduction (U) and only
pressure loading (P).
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
SVTF
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Visualization
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Parameters studied
Mesh refinement
Seven discretization levels with volume and surface smoothing
applied at each increment.
Phase shifts
Turned off phase shifts incrementally.
Amplitudes
Uniform scaling of all amplitudes.
Rayleigh system damping
Minimum damping ratio
Baseline frequency
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Mesh refinement study
Mesh 1:
527,725 elements,
39,193 mm3
Mesh 7:
27,297 elements,
37,617 mm3
you go Glenn Coco
Total volume change: 4.02% decrease
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Mesh refinement study
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Toggling phase shifts
Bone conduction Pressure loading
∆ = SVTFi −SVTFbase
SVTFbase
(U):
∆ = 0.520
(UP):
∆ = 0.168
(P):
∆ = 0.000
(UP):
∆ = 0.194
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Toggling phase shifts
(UP): ∆ = 0.194
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Amplitude scaling
Uniform factor applied on all amplitudes at once.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Rayleigh system damping
Viscous damping proportional to a linear combination of mass and
stiffness matrices
C = amM + akK.
am and as, were determined by a minimum damping ratio,
ζmin = 1
2(akω + am/ω) as
am = ζminωmin [1/s] and ak = ζmin
ωmin
[s].
The base model has
ζmin = 0.025 and
ωmin = 2π · 25000 [rad].
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Rayleigh system damping
Varying minimum damping ratio, ζmin.
1/4: ∆ = 0.612, 1/2: ∆ = 0.325, 2: ∆ = 0.334, 4: ∆ = 0.648.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Rayleigh system damping
Varying baseline frequency, ωmin.
1/4: ∆ = 0.540, 1/2: ∆ = 0.245, 2: ∆ = 0.126, 4: ∆ = 0.161.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Audiogram
An audiogram is a graph used to visualize audible sound for a
given range of frequencies, typically determined with behavioral
experiments.
Sound pressure levels
Calibrated to the minimal audible pressure of a Blainville’s beaked
whale7, 50dB re 1µPa.
Threshold pressure
pth = max[SVTF(ω)]
SVTF(ω) pmin.
Sound pressure levels
SPL = 20 log pth(ω)/pref.
[7]
7
A. Pacini et al. (2011)
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Audiogram
Known mid-frequency sonar emits sound between 3 − 10 kHz.
Ziphius has an estimated hearing range of 40 dB.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Conclusion
Optimal hearing occurs at higher frequencies, 40 − 60 kHz,
but still shows hearing response dominated by bone
conduction at lower frequencies.
Based on this work, the Ziphius has a potential ability to
receive sound at known mid-frequency sonar ranges 3 − 10
kHz.
Future work
Considering asymmetry of skull, simulate both ears.
Vary planar wave direction and angle hitting the skull.
Study other marine life using the combined loading technique.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
Questions?
Acknowledgements
Dr. Petr Krysl, Dr. Michael Todd, Dr. Joel Conte, Poorya
Mirkhosravi, Alireza Pakravan, Phi Nguyen, Marco Pasetto
SE Admin and others
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
References I
[1] R. Aibara, J. T. Welsh, S. Puria, and R. L. Goode. Human
middle-ear sound transfer function and cochlear input
impedance. Hearing research, 152(1):100–109, 2001.
[2] T. M. Cox, T. Ragen, A. Read, E. Vos, R. Baird, K. Balcomb,
J. Barlow, J. Caldwell, T. Cranford, and L. Crum.
Understanding the impacts of anthropogenic sound on beaked
whales. Technical report, DTIC Document, 2006.
[3] T. W. Cranford and P. Krysl. Acoustic function in the
peripheral auditory system of cuvier’s beaked whale (Ziphius
cavirostris). In The Effects of Noise on Aquatic Life, pages
69–72. Springer, 2012.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
References II
[4] T. W. Cranford and P. Krysl. Fin whale sound reception
mechanisms: skull vibration enables low-frequency hearing.
PloS one, 10(1):e0116222, 2015.
[5] P. Krysl and H. Kagey. Reformulation of nodally integrated
continuum elements to attain insensitivity to distortion.
International Journal for Numerical Methods in Engineering, 90
(7):805–818, 2012.
[6] P. Krysl and B. Zhu. Locking-free continuum displacement
finite elements with nodal integration. International Journal for
Numerical Methods in Engineering, 76(7):1020–1043, 2008.
Prob Statement Motivation Numerical App Modeling App Results Conclusion References
References III
[7] A. F. Pacini, P. E. Nachtigall, C. T. Quintos, T. D. Schofield,
D. A. Look, G. A. Levine, and J. P. Turner. Audiogram of a
stranded blainville’s beaked whale (Mesoplodon densirostris)
measured using auditory evoked potentials. Journal of
Experimental Biology, 214(14):2409–2415, 2011. ISSN
0022-0949. doi: 10.1242/jeb.054338. URL
http://jeb.biologists.org/content/214/14/2409.

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Escobar-thesis-presentation-2

  • 1. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Sound reception mechanism analysis of a Cuvier’s beaked whale (Ziphius cavirostris) Ivana Escobar May 27, 2016 Department of Structural Engineering
  • 2. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Overview Problem Statement Motivation Numerical Approach Modeling Approach Boundary Conditions Relative Velocity Results Stapes Velocity Transfer Function Mesh Refinement Parametric Study Audiogram Conclusion
  • 3. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Problem statement Simulate sound reception of the Ziphius ear complex with two mechanisms that enable hearing; pressure loading from surrounding soft tissues and bone conduction from skull vibration4. (Software: MATLab with FinEALE, an open source program) [4] Compare mesh discretization and parametric values of amplitudes and phase shifts, used in loading, and material damping coefficients. Generate a synthetic audiogram from the stapes velocity transfer function (SVTF) based on relative displacement of the hearing structure. 4 T.W. Cranford and P. Krysl (2015)
  • 4. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Motivation Anthropogenic sound in the ocean, such as sonar, has been related to mass strandings of marine life, in particular the Cuvier’s beaked whale (Ziphius cavirostris). Provide insight on the auditory sensitivity of the Cuvier’s beaked whale and its ability to capture sound in the known range of mid-frequency sonar2. [2] 2 T. M. Cox et al. (2006) Source: 2015 c Nat’l Resources Defense Council / Int’l Fund for Animal Welfare
  • 5. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Numerical approach Matrix form M¨u + C ˙u + Ku = F Force vector composed of applied body loads and tractions. F = F¯b + F¯t Harmonic behavior applied to loading and nodal displacement F = ˜Feiωt and u = ˜ueiωt Reducing the equation to time-independent components −ω2 M˜u + iωC˜u + K˜u = ˜F
  • 6. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Numerical approach Assumed-strain formulation weakly enforcing the kinematic equation6 [6] = Bu After spacial discretization with linear tetrahedrals, the strain energy is approximated as Ψe = i,j=1 q=1 1 2 [uT i (BNi (xq))T D(BNj(xq))uj]. Nodally integrated continuum elements (NICE)5 [5] Nk(xq) = e Nk(ξ(xq)) adj(J(xq))J (xq)Wq e J (xq)Wq 5 P. Krysl and H. Kagey (2012) 6 P. Krysl and B. Zhu (2008)
  • 7. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Ziphius tympanoperiotic complex (TPC) Skull view from bottom without the mandible3 [3] 3 T.W. Cranford and P. Krysl (2012) Source: 2012 c Springer Science+Business Media, LLC
  • 8. Prob Statement Motivation Numerical App Modeling App Results Conclusion References
  • 9. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Two applied loading mechanisms Pressure loading (P) From mandibular fat body branches interacting with the tympanic bone t = Peiφp · n blabla hihihi one more TPC pressure transfer function (TPTF)4 [4] Bone conduction (U) From skull-vibration through the periotic bone ¯b = [¯bx ¯by ¯bz]T ¯bx = −ω2 ρboneUx , ¯by = −ω2 ρboneUy eiφy , ¯bz = −ω2 ρboneUzeiφz . Periotic-bone displacement transfer function (PDTF)4 [4] 4 T.W. Cranford and P. Krysl (2015)
  • 10. Prob Statement Motivation Numerical App Modeling App Results Conclusion References From VibroAcoustic toolkit (VATk) simulations
  • 11. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Boundary Conditions Body load applied on all volume elements in the domain for bone conduction. Nodes are fixed at the connection of the periotic bone to the rest of the skull. Traction applied on specified surface elements where the mandibular fat bodies connect with the tympanic bone for pressure loading. Soft tissue surrounding the tympanic bone dissipates energy as ramped damping, 0 Hz to 2, 000 Hz and held constant after, on a prescribed surface. The stapes footplate in contact with the cochlear fluid, which is modeled as damping along the footplate surface.
  • 12. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Boundary Conditions
  • 13. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Boundary Conditions Using cochlear impedance reported for humans1 [1] Z ≈ 95, 488 [Pa · m−1 · s]. 1 R. Aibara et al. (2001)
  • 14. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Relative velocity of stapes footplate Model solution Displacement found at points, ˜ust and umean = ( 4 i=1 ˜ui )/4. Relative displacement, ur = ˜ust − umean. In normal direction of footplate, m, as ust = |ur · m|. Relative velocity, vst = ωust.
  • 15. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Stapes Velocity Transfer Function (SVTF) Relates output from stapes motion to cochlear input from sound occuring underwater. SVTF = vst Pinc
  • 16. Prob Statement Motivation Numerical App Modeling App Results Conclusion References SVTF Isolating each mechanism to only bone conduction (U) and only pressure loading (P).
  • 17. Prob Statement Motivation Numerical App Modeling App Results Conclusion References SVTF
  • 18. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Visualization
  • 19. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Parameters studied Mesh refinement Seven discretization levels with volume and surface smoothing applied at each increment. Phase shifts Turned off phase shifts incrementally. Amplitudes Uniform scaling of all amplitudes. Rayleigh system damping Minimum damping ratio Baseline frequency
  • 20. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Mesh refinement study Mesh 1: 527,725 elements, 39,193 mm3 Mesh 7: 27,297 elements, 37,617 mm3 you go Glenn Coco Total volume change: 4.02% decrease
  • 21. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Mesh refinement study
  • 22. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Toggling phase shifts Bone conduction Pressure loading ∆ = SVTFi −SVTFbase SVTFbase (U): ∆ = 0.520 (UP): ∆ = 0.168 (P): ∆ = 0.000 (UP): ∆ = 0.194
  • 23. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Toggling phase shifts (UP): ∆ = 0.194
  • 24. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Amplitude scaling Uniform factor applied on all amplitudes at once.
  • 25. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Rayleigh system damping Viscous damping proportional to a linear combination of mass and stiffness matrices C = amM + akK. am and as, were determined by a minimum damping ratio, ζmin = 1 2(akω + am/ω) as am = ζminωmin [1/s] and ak = ζmin ωmin [s]. The base model has ζmin = 0.025 and ωmin = 2π · 25000 [rad].
  • 26. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Rayleigh system damping Varying minimum damping ratio, ζmin. 1/4: ∆ = 0.612, 1/2: ∆ = 0.325, 2: ∆ = 0.334, 4: ∆ = 0.648.
  • 27. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Rayleigh system damping Varying baseline frequency, ωmin. 1/4: ∆ = 0.540, 1/2: ∆ = 0.245, 2: ∆ = 0.126, 4: ∆ = 0.161.
  • 28. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Audiogram An audiogram is a graph used to visualize audible sound for a given range of frequencies, typically determined with behavioral experiments. Sound pressure levels Calibrated to the minimal audible pressure of a Blainville’s beaked whale7, 50dB re 1µPa. Threshold pressure pth = max[SVTF(ω)] SVTF(ω) pmin. Sound pressure levels SPL = 20 log pth(ω)/pref. [7] 7 A. Pacini et al. (2011)
  • 29. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Audiogram Known mid-frequency sonar emits sound between 3 − 10 kHz. Ziphius has an estimated hearing range of 40 dB.
  • 30. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Conclusion Optimal hearing occurs at higher frequencies, 40 − 60 kHz, but still shows hearing response dominated by bone conduction at lower frequencies. Based on this work, the Ziphius has a potential ability to receive sound at known mid-frequency sonar ranges 3 − 10 kHz. Future work Considering asymmetry of skull, simulate both ears. Vary planar wave direction and angle hitting the skull. Study other marine life using the combined loading technique.
  • 31. Prob Statement Motivation Numerical App Modeling App Results Conclusion References Questions? Acknowledgements Dr. Petr Krysl, Dr. Michael Todd, Dr. Joel Conte, Poorya Mirkhosravi, Alireza Pakravan, Phi Nguyen, Marco Pasetto SE Admin and others
  • 32. Prob Statement Motivation Numerical App Modeling App Results Conclusion References References I [1] R. Aibara, J. T. Welsh, S. Puria, and R. L. Goode. Human middle-ear sound transfer function and cochlear input impedance. Hearing research, 152(1):100–109, 2001. [2] T. M. Cox, T. Ragen, A. Read, E. Vos, R. Baird, K. Balcomb, J. Barlow, J. Caldwell, T. Cranford, and L. Crum. Understanding the impacts of anthropogenic sound on beaked whales. Technical report, DTIC Document, 2006. [3] T. W. Cranford and P. Krysl. Acoustic function in the peripheral auditory system of cuvier’s beaked whale (Ziphius cavirostris). In The Effects of Noise on Aquatic Life, pages 69–72. Springer, 2012.
  • 33. Prob Statement Motivation Numerical App Modeling App Results Conclusion References References II [4] T. W. Cranford and P. Krysl. Fin whale sound reception mechanisms: skull vibration enables low-frequency hearing. PloS one, 10(1):e0116222, 2015. [5] P. Krysl and H. Kagey. Reformulation of nodally integrated continuum elements to attain insensitivity to distortion. International Journal for Numerical Methods in Engineering, 90 (7):805–818, 2012. [6] P. Krysl and B. Zhu. Locking-free continuum displacement finite elements with nodal integration. International Journal for Numerical Methods in Engineering, 76(7):1020–1043, 2008.
  • 34. Prob Statement Motivation Numerical App Modeling App Results Conclusion References References III [7] A. F. Pacini, P. E. Nachtigall, C. T. Quintos, T. D. Schofield, D. A. Look, G. A. Levine, and J. P. Turner. Audiogram of a stranded blainville’s beaked whale (Mesoplodon densirostris) measured using auditory evoked potentials. Journal of Experimental Biology, 214(14):2409–2415, 2011. ISSN 0022-0949. doi: 10.1242/jeb.054338. URL http://jeb.biologists.org/content/214/14/2409.