Name: differentiating tire stress with logs
Uploaded: 2026-01-12T12:24:15.000Z
Duration: 1 min 28 s
Channel: JoVE

Bir arabanın ağırlığı ve itici kuvvetleri lastiğe etki ettiğinde, harici bir yük uygularlar. Lastik kauçuğu, malzemesine dağıtılan iç kuvvetlerle bu yüke direnir; Bu iç direnç stres olarak adlandırılır.Gerilme, lastik lastiğinin şeklini değiştirir ve bu deformasyon gerilme olarak ölçülür.Kauçukta gerilme ve deformasyon arasındaki doğrusal olmayan ilişki, idealize koşullar altında geliştirilen matematiksel bir yaklaşımla verilir; burada G, malzemenin deformasyona karşı direncini karakterize eden kesme modülünü gösterir.Gerilim, aşağıdaki denkleme göre bir gerilme fonksiyonu olarak ifade edilebilir. Bu değişen ilişkiyi analiz etmek için farklılaştırma kullanılır.Hem taban hem de üstelin değişkenleri içerdiğinde standart farklılaştırma kuralları uygulanması zorlaşır. Logaritmik türevlenme, denklemi yeniden yapılandırarak süreci basitleştirir.Doğal logaritma alındığında ifade daha küçük terimlere bölünür ve ayırtım daha yönetilebilir hale gelir.Her iki tarafı çarpım ve zincir kuralları kullanılarak ayırt etmek, gerilmedeki değişimi gerilmenin bir fonksiyonu olarak yakalar. Orijinal fonksiyonun tekrar farklılaşmış forma konması, araba lastiğindeki gerilme değişim oranını verir.

logaritmik türev alma

Bir otomobilin a&#x11F;&#x131;rl&#x131;&#x11F;&#x131; ve s&#xFC;r&#xFC;&#x15F; kuvvetleri bir lasti&#x11F;e etki etti&#x11F;inde, kau&#xE7;uk malzemeye d&#x131;&#x15F; bir y&#xFC;k uygular. Bu y&#xFC;k, lastik yap&#x131;s&#x131; boyunca da&#x11F;&#x131;lan ve gerilim olarak tan&#x131;mlanan i&#xE7; kuvvetler taraf&#x131;ndan i&#xE7;sel olarak kar&#x15F;&#x131;lan&#x131;r. Bu gerilimin etkisiyle kau&#xE7;ukta meydana gelen deformasyon ise gerinim olarak nicel olarak ifade edilir. Gerilim ile gerinim aras&#x131;ndaki ili&#x15F;ki, lasti&#x11F;in y&#xFC;k alt&#x131;nda nas&#x131;l deforme oldu&#x11F;unu belirler ve &#xE7;al&#x131;&#x15F;ma ko&#x15F;ullar&#x131; s&#x131;ras&#x131;nda sergiledi&#x11F;i mekanik yan&#x131;t&#x131;n anla&#x15F;&#x131;lmas&#x131;nda temel bir rol oynar.Kau&#xE7;uk, do&#x11F;rusal elastik malzemelere k&#x131;yasla belirgin bi&#xE7;imde do&#x11F;rusal olmayan bir mekanik davran&#x131;&#x15F; sergiler. Bu davran&#x131;&#x15F; genellikle, deformasyona kar&#x15F;&#x131; direnci temsil eden malzeme parametrelerini i&#xE7;eren idealle&#x15F;tirilmi&#x15F; kurucu ili&#x15F;kiler arac&#x131;l&#x131;&#x11F;&#x131;yla tan&#x131;mlan&#x131;r. Mevcut fiziksel teoride, gerilim&#x2013;gerinim ili&#x15F;kisi a&#x15F;a&#x11F;&#x131;daki bi&#xE7;imde ifade edilir:\begin{equation*} \sigma = G(\varepsilon^2+1)^\varepsilon&#xA0; \end{equation*}Gerilimin hem tabanda da &#xFC;stte de gerinime ba&#x11F;l&#x131; olmas&#x131;, malzemenin do&#x11F;rusal olmayan tepkisini yans&#x131;tmakta ve modelin kau&#xE7;u&#x11F;a &#xF6;zg&#xFC; b&#xFC;y&#xFC;k deformasyonlar&#x131; dikkate alabilmesine olanak sa&#x11F;lamaktad&#x131;r.Gerilimin, gerinim artt&#x131;k&#xE7;a nas&#x131;l de&#x11F;i&#x15F;ti&#x11F;ini incelemek i&#xE7;in, gerilim&#x2013;gerinim ili&#x15F;kisinin gerinime g&#xF6;re t&#xFC;rev al&#x131;nmas&#x131; gerekir. Ancak de&#x11F;i&#x15F;kenin ayn&#x131; anda birden fazla fonksiyonel rolde yer almas&#x131; nedeniyle, standart t&#xFC;rev alma kurallar&#x131;n&#x131;n do&#x11F;rudan uygulanmas&#x131; g&#xFC;&#xE7;le&#x15F;mektedir. Logaritmik t&#xFC;rev y&#xF6;ntemi, ifadeyi do&#x11F;al logaritma, ya da ln, arac&#x131;l&#x131;&#x11F;&#x131;yla d&#xF6;n&#xFC;&#x15F;t&#xFC;rerek fonksiyonun bile&#x15F;enlerini daha basit terimlere ay&#x131;ran sistematik bir yakla&#x15F;&#x131;m sunar.D&#xF6;n&#xFC;&#x15F;t&#xFC;r&#xFC;lm&#xFC;&#x15F; denklemin &#xE7;arp&#x131;m ve zincir kurallar&#x131; kullan&#x131;larak t&#xFC;revinin al&#x131;nmas&#x131;, gerilimin gerinime g&#xF6;re de&#x11F;i&#x15F;im h&#x131;z&#x131;na ili&#x15F;kin bir ifade elde edilmesini sa&#x11F;lar. Elde edilen bu sonuca orijinal gerilim fonksiyonunun yeniden yerine konulmas&#x131;yla, lastik kau&#xE7;u&#x11F;unun i&#xE7;sel direncinin deformasyonla birlikte nas&#x131;l de&#x11F;i&#x15F;ti&#x11F;ini a&#xE7;&#x131;klayan kompakt bir matematiksel tan&#x131;m elde edilir. Bu ifade, uygulanan y&#xFC;kler alt&#x131;nda lastik davran&#x131;&#x15F;&#x131;n&#x131;n analiz edilmesi i&#xE7;in temel bir &#xE7;er&#xE7;eve olu&#x15F;turur.

Logaritmik Türev Alma

Bir otomobilin a&#x11F;&#x131;rl&#x131;&#x11F;&#x131; ve s&#xFC;r&#xFC;&#x15F; kuvvetleri bir lasti&#x11F;e etki etti&#x11F;inde, kau&#xE7;uk malzemeye ...

Education

JoVE Core

Calculus

Kalkülüs

Unit

Birim

Differentiation Rules

Türev Alma Kuralları

KEY TERMS AND CONCEPTS

TEMEL TERİMLER VE KAVRAMLAR

Logarithmic Differentiation

differentiating tire stress with logs

Logarithmic differentiation is used to find how tire stress changes with strain. In this setting, a car’s weight and driving forces act as an external load on the rubber. The rubber resists that load through internal forces called stress. The deformation that results is called strain.

The stress-strain relationship shows how the tire changes shape under load. For rubber, this relationship is nonlinear, so it does not behave like a linear elastic material. The model used here includes material parameters that describe resistance to deformation. It also uses stress and strain in both the base and the exponent, which helps represent the large deformations typical of rubber.

To study how stress evolves as strain increases, the stress-strain equation must be differentiated with respect to strain. Direct differentiation is difficult because the variable appears in more than one role. Logarithmic differentiation solves this by first taking the natural logarithm of the expression. That step breaks the function into simpler parts.

After the expression is transformed, the product rule and chain rule are used to differentiate it. The result gives the rate of change of stress with respect to strain. Substituting the original stress function back into the result gives a compact equation for how the tire rubber’s internal resistance changes as it deforms. This mathematical form helps analyze tire behavior under applied loads.

Differentiating Tire Stress with Logs

derivatives of simple functions

Slope Rules for Simple Functions

Derivatives show how fast a function changes, and they also describe slope. A derivative can tell the slope of a straight line or the slope of a tangent line to a curve at one point. In this lesson, the idea is tied to a roller coaster track, where the derivative of the horizontal position tells how steep the ride is at each spot. A flat roller coaster section can be modeled with a constant function, f(x) = c, where c is a fixed height. Its derivative is f'(x) = 0, so the slope is zero and...

the product rule

Derivative of a Changing Rectangle

The Product Rule helps find the derivative of a product of two changing functions. In calculus, it states that the derivative of one function times another equals the first function times the rate of change of the second, plus the second function times the rate of change of the first. This rule shows how to account for both functions when they vary at the same time. A useful way to see the rule is with a rectangle whose width and height both change over time. If the width and height represent...

the quotient rule

Differentiating Ratios with the Quotient Rule

The quotient rule is a key calculus method for differentiating ratios of two differentiable functions. It is used when a function is written as one function divided by another, and the denominator is not zero. The rule gives a direct way to find the derivative of that ratio. The quotient rule is especially useful for rational functions, trigonometric ratios, and exponential functions. For example, it can be applied to a function in ratio form to find its derivative step by step. This makes it...

derivatives of the trigonometric functions

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limits on trigonometric functions

Trigonometric Limits for Derivatives

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the chain rule

Chain Rule in a Gear System

The Chain Rule appears in a gear system with three connected gears. The first gear is represented by x, the second by z, and the third by y. Each gear’s motion depends on the gear before it, so the system creates a linked change from one stage to the next. This setup shows a composite function, which is a function built from another function. In the first stage, the second gear’s rotation depends on the first gear, so the intermediate variable is written as z = z(x). In the second stage, the...

the chain rule: problem solving

Chain Rule in Thermal Expansion

The Chain Rule appears in thermal expansion when a rod’s length changes because its temperature changes over time. In this example, a metal rod is heated, and its length depends on temperature. The temperature itself changes with time in a quadratic way. For linear thermal expansion, the rod’s length L depends on temperature T with a constant rate of change, using the initial length L0 = 2 m and the coefficient of thermal expansion α. The temperature follows a quadratic relationship in time,...

implicit differentiation

Tangent Lines in Circular Motion

Tangent lines in circular motion show how implicit differentiation helps describe an object’s direction of motion. In classical mechanics, motion is often written as a relationship between position and time. A car moving along a straight highway with constant acceleration is a simple example where velocity is an explicit function of time, so basic differentiation works directly. A satellite in circular orbit is different because its path is given by an implicit function. The circle equation...

second derivatives of implicit functions

Slope and Curvature of Elliptical Arches

Elliptical arches connect slope and curvature to the shape of an ellipse. In this geometry, the height y and the horizontal position x are related implicitly, so y cannot be written as an explicit function of x. That is why implicit differentiation is needed to study the arch. The ellipse is centered at the origin and has a semi-major axis a and a semi-minor axis b. Differentiating the ellipse equation with respect to x uses the chain rule. After solving for dy / dx, the first derivative shows...

implicit differentiation: problem solving

Tangent Lines with Implicit Differentiation

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derivatives of logarithmic functions

Natural Log Derivatives and Real-World Uses

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logarithmic differentiation

Logarithmic differentiation is used to find how tire stress changes with strain. In this setting, a car’s weight and driving forces act as an external load on the rubber. The rubber resists that load through internal forces called stress. The deformation that results is called strain. The stress-strain relationship shows how the tire changes shape under load. For rubber, this relationship is nonlinear, so it does not behave like a linear elastic material. The model used here includes material...

the number e as a limit

e from Natural Log Derivatives

The number e is a key constant in calculus, and it helps describe continuous change. It is especially important for exponential growth. Rather than treating e as an arbitrary number, the transcript shows how it can be defined through the natural logarithm and differentiation. The natural logarithm, written as ln x, is the inverse of the exponential function with base e. Its derivative is 1 divided by its input. When that derivative is evaluated at x = 1, the result is exactly 1. This condition...

derivatives of inverse trigonometric functions

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Inverse Trig Derivatives in Tracking

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application of rates of change

Velocity and Acceleration in Motion Graphs

Velocity and acceleration describe how a car moves along a highway. The car’s position changes over time, so it can be written as a function of time. Rates of change help measure motion in a clear mathematical way. Velocity tells how position changes with time. Average velocity is found by dividing the change in position by the change in time. It gives the overall speed of the car during a time interval, but it does not show changes inside that interval. To find the velocity at one exact...

exponential growth

Bacterial Doubling in Exponential Growth

Bacterial populations can grow by doubling when conditions are favorable. When nutrients and temperature support growth, cells divide by binary fission. In binary fission, one cell splits into two identical daughter cells. This makes the population rise quickly. During exponential growth, the growth rate depends on how many cells are already present. As the population gets larger, more new cells are formed in each generation. The result is a steep increase in total cell count over time. The...

related rates

Balloon Inflation and Changing Rates

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linearization and approximation

Tangent Line Estimates Near a Point

Linearization uses a tangent line to estimate a nonlinear function near a chosen reference point. It replaces a difficult function with a simpler linear model when the input changes only a little. This makes it useful for small deviations from a known value. A square root example shows how the method works. The value at 4 is known exactly, so 4 is a good reference point. The function value and the rate of change are both easy to find there. Estimating the value at a nearby input, such as 4.1,...

application of linearization and approximation

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Estimating Altitude Changes with Linearization

Linearization can help a drone estimate small altitude changes from air pressure readings. Atmospheric pressure drops as altitude rises, and this relationship is often modeled with an exponential function. The model is accurate, but the math needed to convert pressure into altitude can be too complex for repeated calculations during flight. To make the calculation easier, the pressure-altitude relationship is approximated locally with a straight line. This line is built near a chosen reference...

hyperbolic functions

Modeling Hanging Cables with Hyperbolic Curves

Hyperbolic functions help describe the shape of a hanging cable. When a flexible cable is suspended between two points at the same height, it naturally forms a catenary. That curve comes from the balance between the cable’s weight and the tension along its length. It shows a state of mechanical equilibrium. The true shape of this hanging cable is not captured well by a simple approximation. Instead, it is described with hyperbolic functions. These functions are related to exponential functions.

inverse hyperbolic functions and their derivatives

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Deriving the Slope of a Catenary Curve

A catenary curve describes the shape of a suspension bridge cable hanging under its own weight. The curve is modeled with the hyperbolic cosine function, which helps show how gravity and tension act along the cable. When the vertical position on the cable is known, the matching horizontal position can be found with the inverse hyperbolic cosine function. Inverse hyperbolic functions are a family of functions that includes inverse hyperbolic sine, cosine, and tangent. Their corresponding...

hyperbolic and inverse hyperbolic functions: problem solving

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Tangent Lines on a Hyperbolic Arch

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key terms and concepts

See how logarithmic differentiation is used to model tire stress and strain in rubber, and how the method simplifies a nonlinear equation.

Differentiating Tire Stress with Logs | JoVE K12

The JoVE Core Calculus collection provides a comprehensive visual guide to the entire calculus sequence, seamlessly connecting mathematical theory to real-world applications in physics and economics. Through dynamic animated lessons, the course transitions smoothly from foundational single-variable concepts to advanced multivariable topics. Students will explore everything from standard differentiation and integration to spatial vectors, multi-dimensional derivatives, and complex vector fields. By breaking down abstract coordinate systems, infinite series, and spatial motion, this structured approach builds the robust analytical skills and advanced mastery essential for STEM success.

calculus

Differentiating Tire Stress with Logs

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