SlideShare a Scribd company logo
CIV 331
Highway Engineering
Course Instructor
Dr. Essam Dabbour, P. Eng.
Presentation 02
2
ROAD-VEHICLE PERFORMANCE
• Roadway design is governed by two main factors:
– Vehicle capabilities
• acceleration/deceleration
• braking
• cornering
– Human capabilities
• perception/reaction times
• eyesight (range, height above roadway)
• Performance of road vehicles forms the basis for roadway
design guidelines such as:
– length of acceleration / deceleration lanes
– maximum grades
– stopping-sight distances / passing-sight distances
– timing of traffic signals
3
TRACTIVE EFFORT AND RESISTANCE
• These are the opposing forces that determine straight-line
performance of road vehicles.
• Tractive effort is simply the force available at the roadway
surface to perform work (expressed in lbs [N]).
• Resistance (expressed in lbs [N]) is defined as the force
impeding vehicle motion.
• Three major sources of vehicle resistance are:
– Aerodynamic
– Rolling (originates from the roadway surface-tire interface)
– Grade or gravitational
4
TRACTIVE EFFORT AND RESISTANCE
Ff + Fr = ma + Ra + Rrlf + Rrlr + Rg
F = ma + Ra + Rrl + Rg
5
AERODYNAMIC RESISTANCE
• It can have significant impacts on vehicle performance,
particularly at high speeds.
• It can be determined using the following equation:
2
2
V
A
C
R f
D
a


Where:
Ra = aerodynamic resistance in lb (N)
ρ (rho) = air density in slugs/ft3 (kg/m3)
CD = coefficient of drag (unitless)
Af = frontal area of vehicle in ft2 (m2)
V = vehicle speed in ft/s (m/s)
6
AERODYNAMIC RESISTANCE (Cont’d)
• Air density is a function
of both elevation and
temperature (see Table
2.1 in the textbook).
• The drag coefficient is
measured from
empirical data, either
from wind tunnel
experiments or actual
field tests (it has
dropped from about
0.5 to mid 0.2’s for
sedan type vehicles,
but still in 0.4 – 0.5
range for SUVs and
trucks).
2005 Honda
Insight (CD = 0.25)
1967 Volkswagen Beetle
(CD = 0.46)
2003 Hummer H2
(CD = 0.57)
2010 Toyota Prius
(CD = 0.25)
7
AERODYNAMIC RESISTANCE (Cont’d)
• As power is the product of force and speed, the power needed to
overcome aerodynamic resistance can be determined using the
following equation:
• The force required to overcome aerodynamic resistance
increases with the square of the speed while the corresponding
power increases with the cube of the speed (double the speed
requires 4 times the force and 8 times the power).
3
2
V
A
C
P f
D
Ra


8
ROLLING RESISTANCE
• Refers to the resistance generated from the interaction between
the tires and the roadway surface:
– Primary source (about 90%) of this resistance is the deformation of
the tire as it passes over the roadway surface.
– Tire penetration/roadway surface compression (about 4%)
– Tire slippage and air circulation around tire & wheel (about 6%)
• Factors affecting rolling resistance (Rrl ):
– Rigidity of tire and roadway surface
– Tire inflation pressure and temperature
– Vehicle speed
9
ROLLING RESISTANCE
• Rolling resistance is calculated using the following approximated
equation:
• Since grades are often small, the equation is further simplified by
assuming that cos g = 1 (giving a slightly more conservative
estimate), yielding:
• Coefficient of rolling resistance (frl) for road vehicles operating on
paved surfaces is approximated as:
g
rl
rl W
f
R 
cos

W
f
R rl
rl 








73
.
44
1
01
.
0
V
frl
with V in m/s
10
GRADE RESISTANCE
• The grade resistance is
the component of the
vehicle weight acting
parallel to the roadway
surface.
• As highway grades are
usually small:
g
g W
R 
sin

WG
Rg 
g
g 
 tan
sin 
11
EXAMPLE 1
A 8.9 kN car has a drag coefficient of 0.40, frontal area 2.0 m2
and an available tractive effort of 1.135 kN. Determine the
maximum grade that the car can ascend at an elevation 1500 m
(ρ = 1.0567 kg/m3) on a paved surface while maintaining a
maximum speed of 110 km/h.
[see whiteboard and pages 15 - 16]
12
EXAMPLE 2
If the car in the previous example was travelling at a speed of 90
km/h on 1% down grade, determine the maximum rate of
acceleration it can attain.
[see whiteboard]
13
MAXIMUM TRACTIVE EFFORT
14
MAXIMUM TRACTIVE EFFORT (Cont’d)
• No matter how much force a vehicle’s engine produces at the
roadway surface, there is a point beyond which additional force
will not accelerate the vehicle further but rather it will just result
in the spinning of tires.
• To determine that maximum tractive effort, the normal load on
the rear axle (Wr) is determined by summing the moments about
point A:
• Since the grade is usually small then cosθ = 1 and the above
equations becomes:
L
Wh
mah
Wl
h
R
W
g
g
f
a
r

 sin
cos 



)
( rl
f
r R
F
L
h
W
L
l
W 


15
MAXIMUM TRACTIVE EFFORT (Cont’d)
• From the basics of physics, the maximum tractive force is the
product of the normal force (Wr) multiplied by the coefficient of
road adhesion (µ); and therefore, the maximum tractive force for
a rear-wheel-drive vehicle is:
• Similarly, by summing moments about point B, it can be shown
that for a front-wheel-drive vehicle:
 
L
h
L
h
f
l
W
F
R
F
L
h
W
L
l
F
rl
f
rl
f
/
1
/
)
(
max
max
max















 
L
h
L
h
f
l
W
F rl
r
/
1
/
max





16
TYPICAL VALUES OF COEFFICIENT OF ROAD ADHESION
Pavement
Coefficient of Road
Adhesion
Maximum Slide
Good, dry 1.00 0.80
Good, wet 0.90 0.60
Poor, dry 0.80 0.55
Poor, wet 0.60 0.30
Packed snow or ice 0.25 0.10
17
EXAMPLE 3
An 11.0-kN car is designed with 3.05 m wheelbase. The center
of gravity is located 550 mm above the pavement and 1.00 m
behind the front axle. If the coefficient of road adhesion is 0.6,
what is the maximum tractive effort that can be developed if the
car is (a) front-wheel-drive and (b) rear-wheel-drive?
[see whiteboard and page 18]
18
PRINCIPLES OF BRAKING
• For roadway design and traffic analysis, vehicle braking
characteristics are the most important aspect of vehicle
performance.
• Braking performance is a key factor to the determination of:
– stopping-sight distance, which is one of the foundations of roadway
design
– the length of the yellow interval for traffic signals
19
PRINCIPLES OF BRAKING
20
PRINCIPLES OF BRAKING
• Taking moments about the front and rear axles, and assuming
cos g = 1 for small roadway grades, the normal loads on the
front and rear axles are given by the following equations:
• Also, from summing forces along the vehicle’s longitudinal axis
gives:
 
 
g
a
r
f W
R
ma
h
Wl
L
W 
sin
1




 
 
g
a
f
r W
R
ma
h
Wl
L
W 
sin
1




g
a
rl
b W
R
ma
W
f
F 
sin




where: Fb = Fbf + Fbr
21
PRINCIPLES OF BRAKING
• Substituting the equations together yields the following
equations :
• The maximum vehicle braking force (Fb max) is equal to the
coefficient of road adhesion times the weights normal to the
roadway surface:
 
 
W
f
F
h
Wl
L
W rl
b
r
f 


1
 
 
W
f
F
h
Wl
L
W rl
b
f
r 


1
r
max
br W
F 

 = coefficient of road adhesion
f
max
bf W
F 
 (front braking force)
(rear braking force)
22
PRINCIPLES OF BRAKING
• Substituting the equations together again yields the following
equations :
• To develop maximum braking forces, the tires should be at the
point of impending slide.
• If the tires begin to slide (i.e., the brakes lock), a significant
reduction in road adhesion will result.
 
 
rl
r
bf f
h
l
L
W
F 

 

max
 
 
rl
f
br f
h
l
L
W
F 

 

max
23
EXAMPLE 4
Calculate the minimum coefficient of road adhesion to ensure
that a car will not slide given that the car is front-wheel driven
with the braking force produced at tire-pavement contact
point is 2.1 kN, the car speed is 90 km/h, its weight is 8.7 kN
and the length of its wheel base is 1.95 m with its center of
gravity is at distance 0.90 m from the front axle and at height
0.55 m above roadway surface.
[see whiteboard]

More Related Content

Similar to عرض تقديمي لتصميم طريق وكيفية ابعاد الطريق

6 diseno optimo camino minero 2014 douglas canada
6 diseno optimo camino minero 2014 douglas canada6 diseno optimo camino minero 2014 douglas canada
6 diseno optimo camino minero 2014 douglas canada
Sierra Francisco Justo
 
Design parameters of electric vehicles ksr
Design parameters of electric vehicles  ksrDesign parameters of electric vehicles  ksr
Design parameters of electric vehicles ksr
PresidencyUniversity
 
Vehicle dynamics ppt shiva
Vehicle dynamics ppt shivaVehicle dynamics ppt shiva
Vehicle dynamics ppt shiva
Shiva Nand
 
Brakes and dynamometers
Brakes and dynamometersBrakes and dynamometers
Brakes and dynamometers
binil babu
 
Che 10 engineering fundamental
Che  10 engineering fundamentalChe  10 engineering fundamental
Featutes of New Guideline for the Design of Flexible Pavement.pptx
Featutes of New Guideline for the Design of Flexible Pavement.pptxFeatutes of New Guideline for the Design of Flexible Pavement.pptx
Featutes of New Guideline for the Design of Flexible Pavement.pptx
bnraj2
 
CV-2-Power Plant.pptx
CV-2-Power Plant.pptxCV-2-Power Plant.pptx
CV-2-Power Plant.pptx
bvmohan1
 
TRACTION AND ITS PREDICTION
TRACTION AND ITS PREDICTIONTRACTION AND ITS PREDICTION
TRACTION AND ITS PREDICTION
Ranit Sarkar
 
DOC-20220923-WA0025..pptx
DOC-20220923-WA0025..pptxDOC-20220923-WA0025..pptx
DOC-20220923-WA0025..pptx
NikhilPawar76934
 
Braking performance 4
Braking  performance 4Braking  performance 4
Braking performance 4
أشرف أمجد الشريف
 
Brakingperformance
BrakingperformanceBrakingperformance
Brakingperformance
Suresh Ram
 
Vehicle dynamics
Vehicle dynamicsVehicle dynamics
Vehicle dynamics
Rajmohan Nagarajan
 
Presentation
PresentationPresentation
Presentation
Sohail Shaikh
 
Basics of vehicle aerodynamics
Basics of vehicle aerodynamicsBasics of vehicle aerodynamics
Basics of vehicle aerodynamics
Rohit Verma
 
Bridge loading
Bridge loadingBridge loading
Bridge loading
kapilpant12
 
Simulation and Static Analysis of an Off-Road Vehicle Roll Cage
Simulation and Static Analysis of an Off-Road Vehicle Roll CageSimulation and Static Analysis of an Off-Road Vehicle Roll Cage
Simulation and Static Analysis of an Off-Road Vehicle Roll Cage
IJMER
 
SELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLE
SELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLESELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLE
SELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLE
Journal For Research
 
CHAPTER - 7 HIGHWAY II R = 666666666666.pptx
CHAPTER - 7 HIGHWAY II R = 666666666666.pptxCHAPTER - 7 HIGHWAY II R = 666666666666.pptx
CHAPTER - 7 HIGHWAY II R = 666666666666.pptx
RoMa665066
 
TIRE LOAD CAPACITY.pptx
TIRE LOAD CAPACITY.pptxTIRE LOAD CAPACITY.pptx
TIRE LOAD CAPACITY.pptx
AnkushYadav654789
 
Hybrid vehicles PPT
Hybrid vehicles PPTHybrid vehicles PPT
Hybrid vehicles PPT
shivampandey239826
 

Similar to عرض تقديمي لتصميم طريق وكيفية ابعاد الطريق (20)

6 diseno optimo camino minero 2014 douglas canada
6 diseno optimo camino minero 2014 douglas canada6 diseno optimo camino minero 2014 douglas canada
6 diseno optimo camino minero 2014 douglas canada
 
Design parameters of electric vehicles ksr
Design parameters of electric vehicles  ksrDesign parameters of electric vehicles  ksr
Design parameters of electric vehicles ksr
 
Vehicle dynamics ppt shiva
Vehicle dynamics ppt shivaVehicle dynamics ppt shiva
Vehicle dynamics ppt shiva
 
Brakes and dynamometers
Brakes and dynamometersBrakes and dynamometers
Brakes and dynamometers
 
Che 10 engineering fundamental
Che  10 engineering fundamentalChe  10 engineering fundamental
Che 10 engineering fundamental
 
Featutes of New Guideline for the Design of Flexible Pavement.pptx
Featutes of New Guideline for the Design of Flexible Pavement.pptxFeatutes of New Guideline for the Design of Flexible Pavement.pptx
Featutes of New Guideline for the Design of Flexible Pavement.pptx
 
CV-2-Power Plant.pptx
CV-2-Power Plant.pptxCV-2-Power Plant.pptx
CV-2-Power Plant.pptx
 
TRACTION AND ITS PREDICTION
TRACTION AND ITS PREDICTIONTRACTION AND ITS PREDICTION
TRACTION AND ITS PREDICTION
 
DOC-20220923-WA0025..pptx
DOC-20220923-WA0025..pptxDOC-20220923-WA0025..pptx
DOC-20220923-WA0025..pptx
 
Braking performance 4
Braking  performance 4Braking  performance 4
Braking performance 4
 
Brakingperformance
BrakingperformanceBrakingperformance
Brakingperformance
 
Vehicle dynamics
Vehicle dynamicsVehicle dynamics
Vehicle dynamics
 
Presentation
PresentationPresentation
Presentation
 
Basics of vehicle aerodynamics
Basics of vehicle aerodynamicsBasics of vehicle aerodynamics
Basics of vehicle aerodynamics
 
Bridge loading
Bridge loadingBridge loading
Bridge loading
 
Simulation and Static Analysis of an Off-Road Vehicle Roll Cage
Simulation and Static Analysis of an Off-Road Vehicle Roll CageSimulation and Static Analysis of an Off-Road Vehicle Roll Cage
Simulation and Static Analysis of an Off-Road Vehicle Roll Cage
 
SELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLE
SELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLESELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLE
SELECTION OF POWERTRAIN TO ACHIEVE PERFORMANCE OF VEHICLE
 
CHAPTER - 7 HIGHWAY II R = 666666666666.pptx
CHAPTER - 7 HIGHWAY II R = 666666666666.pptxCHAPTER - 7 HIGHWAY II R = 666666666666.pptx
CHAPTER - 7 HIGHWAY II R = 666666666666.pptx
 
TIRE LOAD CAPACITY.pptx
TIRE LOAD CAPACITY.pptxTIRE LOAD CAPACITY.pptx
TIRE LOAD CAPACITY.pptx
 
Hybrid vehicles PPT
Hybrid vehicles PPTHybrid vehicles PPT
Hybrid vehicles PPT
 

Recently uploaded

如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
yqqaatn0
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
Daniel Tubbenhauer
 
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
vluwdy49
 
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdfwaterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
LengamoLAppostilic
 
Bob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdfBob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdf
Texas Alliance of Groundwater Districts
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
Sharon Liu
 
Phenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvementPhenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvement
IshaGoswami9
 
Thornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdfThornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdf
European Sustainable Phosphorus Platform
 
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titrationCompexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
Vandana Devesh Sharma
 
bordetella pertussis.................................ppt
bordetella pertussis.................................pptbordetella pertussis.................................ppt
bordetella pertussis.................................ppt
kejapriya1
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
KrushnaDarade1
 
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Texas Alliance of Groundwater Districts
 
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Sérgio Sacani
 
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths ForwardImmersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
Leonel Morgado
 
Medical Orthopedic PowerPoint Templates.pptx
Medical Orthopedic PowerPoint Templates.pptxMedical Orthopedic PowerPoint Templates.pptx
Medical Orthopedic PowerPoint Templates.pptx
terusbelajar5
 
Shallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptxShallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptx
Gokturk Mehmet Dilci
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
MaheshaNanjegowda
 
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptxCytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
Hitesh Sikarwar
 
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốtmô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
HongcNguyn6
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
University of Rennes, INSA Rennes, Inria/IRISA, CNRS
 

Recently uploaded (20)

如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
如何办理(uvic毕业证书)维多利亚大学毕业证本科学位证书原版一模一样
 
Equivariant neural networks and representation theory
Equivariant neural networks and representation theoryEquivariant neural networks and representation theory
Equivariant neural networks and representation theory
 
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
 
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdfwaterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
 
Bob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdfBob Reedy - Nitrate in Texas Groundwater.pdf
Bob Reedy - Nitrate in Texas Groundwater.pdf
 
20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx20240520 Planning a Circuit Simulator in JavaScript.pptx
20240520 Planning a Circuit Simulator in JavaScript.pptx
 
Phenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvementPhenomics assisted breeding in crop improvement
Phenomics assisted breeding in crop improvement
 
Thornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdfThornton ESPP slides UK WW Network 4_6_24.pdf
Thornton ESPP slides UK WW Network 4_6_24.pdf
 
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titrationCompexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
 
bordetella pertussis.................................ppt
bordetella pertussis.................................pptbordetella pertussis.................................ppt
bordetella pertussis.................................ppt
 
SAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdfSAR of Medicinal Chemistry 1st by dk.pdf
SAR of Medicinal Chemistry 1st by dk.pdf
 
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero WaterSharlene Leurig - Enabling Onsite Water Use with Net Zero Water
Sharlene Leurig - Enabling Onsite Water Use with Net Zero Water
 
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
 
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths ForwardImmersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
 
Medical Orthopedic PowerPoint Templates.pptx
Medical Orthopedic PowerPoint Templates.pptxMedical Orthopedic PowerPoint Templates.pptx
Medical Orthopedic PowerPoint Templates.pptx
 
Shallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptxShallowest Oil Discovery of Turkiye.pptx
Shallowest Oil Discovery of Turkiye.pptx
 
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different formsBasics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
 
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptxCytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
 
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốtmô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
 
Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityDeep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
 

عرض تقديمي لتصميم طريق وكيفية ابعاد الطريق

  • 1. CIV 331 Highway Engineering Course Instructor Dr. Essam Dabbour, P. Eng. Presentation 02
  • 2. 2 ROAD-VEHICLE PERFORMANCE • Roadway design is governed by two main factors: – Vehicle capabilities • acceleration/deceleration • braking • cornering – Human capabilities • perception/reaction times • eyesight (range, height above roadway) • Performance of road vehicles forms the basis for roadway design guidelines such as: – length of acceleration / deceleration lanes – maximum grades – stopping-sight distances / passing-sight distances – timing of traffic signals
  • 3. 3 TRACTIVE EFFORT AND RESISTANCE • These are the opposing forces that determine straight-line performance of road vehicles. • Tractive effort is simply the force available at the roadway surface to perform work (expressed in lbs [N]). • Resistance (expressed in lbs [N]) is defined as the force impeding vehicle motion. • Three major sources of vehicle resistance are: – Aerodynamic – Rolling (originates from the roadway surface-tire interface) – Grade or gravitational
  • 4. 4 TRACTIVE EFFORT AND RESISTANCE Ff + Fr = ma + Ra + Rrlf + Rrlr + Rg F = ma + Ra + Rrl + Rg
  • 5. 5 AERODYNAMIC RESISTANCE • It can have significant impacts on vehicle performance, particularly at high speeds. • It can be determined using the following equation: 2 2 V A C R f D a   Where: Ra = aerodynamic resistance in lb (N) ρ (rho) = air density in slugs/ft3 (kg/m3) CD = coefficient of drag (unitless) Af = frontal area of vehicle in ft2 (m2) V = vehicle speed in ft/s (m/s)
  • 6. 6 AERODYNAMIC RESISTANCE (Cont’d) • Air density is a function of both elevation and temperature (see Table 2.1 in the textbook). • The drag coefficient is measured from empirical data, either from wind tunnel experiments or actual field tests (it has dropped from about 0.5 to mid 0.2’s for sedan type vehicles, but still in 0.4 – 0.5 range for SUVs and trucks). 2005 Honda Insight (CD = 0.25) 1967 Volkswagen Beetle (CD = 0.46) 2003 Hummer H2 (CD = 0.57) 2010 Toyota Prius (CD = 0.25)
  • 7. 7 AERODYNAMIC RESISTANCE (Cont’d) • As power is the product of force and speed, the power needed to overcome aerodynamic resistance can be determined using the following equation: • The force required to overcome aerodynamic resistance increases with the square of the speed while the corresponding power increases with the cube of the speed (double the speed requires 4 times the force and 8 times the power). 3 2 V A C P f D Ra  
  • 8. 8 ROLLING RESISTANCE • Refers to the resistance generated from the interaction between the tires and the roadway surface: – Primary source (about 90%) of this resistance is the deformation of the tire as it passes over the roadway surface. – Tire penetration/roadway surface compression (about 4%) – Tire slippage and air circulation around tire & wheel (about 6%) • Factors affecting rolling resistance (Rrl ): – Rigidity of tire and roadway surface – Tire inflation pressure and temperature – Vehicle speed
  • 9. 9 ROLLING RESISTANCE • Rolling resistance is calculated using the following approximated equation: • Since grades are often small, the equation is further simplified by assuming that cos g = 1 (giving a slightly more conservative estimate), yielding: • Coefficient of rolling resistance (frl) for road vehicles operating on paved surfaces is approximated as: g rl rl W f R  cos  W f R rl rl          73 . 44 1 01 . 0 V frl with V in m/s
  • 10. 10 GRADE RESISTANCE • The grade resistance is the component of the vehicle weight acting parallel to the roadway surface. • As highway grades are usually small: g g W R  sin  WG Rg  g g   tan sin 
  • 11. 11 EXAMPLE 1 A 8.9 kN car has a drag coefficient of 0.40, frontal area 2.0 m2 and an available tractive effort of 1.135 kN. Determine the maximum grade that the car can ascend at an elevation 1500 m (ρ = 1.0567 kg/m3) on a paved surface while maintaining a maximum speed of 110 km/h. [see whiteboard and pages 15 - 16]
  • 12. 12 EXAMPLE 2 If the car in the previous example was travelling at a speed of 90 km/h on 1% down grade, determine the maximum rate of acceleration it can attain. [see whiteboard]
  • 14. 14 MAXIMUM TRACTIVE EFFORT (Cont’d) • No matter how much force a vehicle’s engine produces at the roadway surface, there is a point beyond which additional force will not accelerate the vehicle further but rather it will just result in the spinning of tires. • To determine that maximum tractive effort, the normal load on the rear axle (Wr) is determined by summing the moments about point A: • Since the grade is usually small then cosθ = 1 and the above equations becomes: L Wh mah Wl h R W g g f a r   sin cos     ) ( rl f r R F L h W L l W   
  • 15. 15 MAXIMUM TRACTIVE EFFORT (Cont’d) • From the basics of physics, the maximum tractive force is the product of the normal force (Wr) multiplied by the coefficient of road adhesion (µ); and therefore, the maximum tractive force for a rear-wheel-drive vehicle is: • Similarly, by summing moments about point B, it can be shown that for a front-wheel-drive vehicle:   L h L h f l W F R F L h W L l F rl f rl f / 1 / ) ( max max max                  L h L h f l W F rl r / 1 / max     
  • 16. 16 TYPICAL VALUES OF COEFFICIENT OF ROAD ADHESION Pavement Coefficient of Road Adhesion Maximum Slide Good, dry 1.00 0.80 Good, wet 0.90 0.60 Poor, dry 0.80 0.55 Poor, wet 0.60 0.30 Packed snow or ice 0.25 0.10
  • 17. 17 EXAMPLE 3 An 11.0-kN car is designed with 3.05 m wheelbase. The center of gravity is located 550 mm above the pavement and 1.00 m behind the front axle. If the coefficient of road adhesion is 0.6, what is the maximum tractive effort that can be developed if the car is (a) front-wheel-drive and (b) rear-wheel-drive? [see whiteboard and page 18]
  • 18. 18 PRINCIPLES OF BRAKING • For roadway design and traffic analysis, vehicle braking characteristics are the most important aspect of vehicle performance. • Braking performance is a key factor to the determination of: – stopping-sight distance, which is one of the foundations of roadway design – the length of the yellow interval for traffic signals
  • 20. 20 PRINCIPLES OF BRAKING • Taking moments about the front and rear axles, and assuming cos g = 1 for small roadway grades, the normal loads on the front and rear axles are given by the following equations: • Also, from summing forces along the vehicle’s longitudinal axis gives:     g a r f W R ma h Wl L W  sin 1         g a f r W R ma h Wl L W  sin 1     g a rl b W R ma W f F  sin     where: Fb = Fbf + Fbr
  • 21. 21 PRINCIPLES OF BRAKING • Substituting the equations together yields the following equations : • The maximum vehicle braking force (Fb max) is equal to the coefficient of road adhesion times the weights normal to the roadway surface:     W f F h Wl L W rl b r f    1     W f F h Wl L W rl b f r    1 r max br W F    = coefficient of road adhesion f max bf W F   (front braking force) (rear braking force)
  • 22. 22 PRINCIPLES OF BRAKING • Substituting the equations together again yields the following equations : • To develop maximum braking forces, the tires should be at the point of impending slide. • If the tires begin to slide (i.e., the brakes lock), a significant reduction in road adhesion will result.     rl r bf f h l L W F      max     rl f br f h l L W F      max
  • 23. 23 EXAMPLE 4 Calculate the minimum coefficient of road adhesion to ensure that a car will not slide given that the car is front-wheel driven with the braking force produced at tire-pavement contact point is 2.1 kN, the car speed is 90 km/h, its weight is 8.7 kN and the length of its wheel base is 1.95 m with its center of gravity is at distance 0.90 m from the front axle and at height 0.55 m above roadway surface. [see whiteboard]