4.2. Blade Movements and Performance Parameters

And hope you remember these curves are valid only for these ideal conditions. So, 60 minutes hour but in your project in this problem we found that the machine is working for 50 minutes an hour. So, you are supposed to apply the job efficiency, you have to apply the correction factor accordingly.

In this section, we learn that productivity curves for bulldozers are based on ideal conditions. If the machine operates for less than the ideal time (60 minutes), such as 50 minutes per hour, a correction factor must be applied to calculate accurate productivity. This ensures that the estimations reflect the real operational conditions.

Think of this like baking cookies. If a recipe is designed to bake cookies in 30 minutes but you only have an oven that can operate efficiently for 25 minutes, the cookies may not be baked properly. You need to make adjustments to the recipe or baking time to ensure they come out right.

But this curve value is applicable for a soil density of 1365 kg per meter cube. So, in our case the soil density is given as 1750 kg per meter cube in bank state that is to be noted the soil the bulldozer is going to do is of density 1750 kg per meter cube in bank state that is to be noted.

The productivity curve is based on a soil density of 1365 kg/m³. However, if the actual soil density is greater, such as 1750 kg/m³, it indicates that the soil is denser and more difficult to move. This means the bulldozer's productivity will likely decrease, hence the necessity for another correction factor to adjust the anticipated productivity.

Imagine trying to push a heavy box across the floor. If the box is filled with feathers, it’s easy to slide, but if it’s filled with rocks, it becomes much harder. Similarly, denser soil requires more effort to move, affecting overall productivity.

Then other things like operator the curve was drawn for excellent operator skill. So, in our problem the operator skill is average. So, accordingly you have to choose the correction factor and apply.

The productivity curve is based on the assumption that the operator has excellent skills. When the operator's skill level is average instead of excellent, it can negatively impact productivity. Thus, it is crucial to apply a correction factor reflecting the operator's skill level to accurately estimate productivity.

This is akin to learning a new sport. A beginner may take longer to score points compared to a seasoned player. Therefore, if the bulldozer operator is still mastering techniques, the overall productivity will be less than what would be achieved by a more experienced operator.

Similarly, the material type, material type is non-cohesive silty sand, so that will definitely reduce the productivity.

The type of material being moved also greatly influences bulldozer productivity. In this scenario, the soil being worked with is non-cohesive silty sand, which typically is more challenging to push than denser, more cohesive materials. Understanding the material type is crucial for applying the appropriate correction factor that will reflect productivity accurately.

Consider dragging different kinds of materials across a surface: pulling a towel is easier than dragging a wet sponge. The sponge sticks and requires more effort, similar to how certain types of soil can be more difficult to manage.

So, your correction factor is going to be less than 1, because it is average is going to reduce your productivity. Similarly, the material type, material type is non-cohesive silty sand, so that will definitely reduce the productivity.

Job efficiency refers to the actual operating time of the machine compared to the ideal scenario. If the machine is only working for a portion of the hour (for instance, 50 out of 60 minutes), the productivity must be adjusted using a correction factor which will inevitably lower the productivity expected from ideal conditions.

Imagine studying for an exam. If you only study for 30 minutes instead of an hour, your performance might suffer because you didn’t use the full time effectively. Similarly, the bulldozer's productivity is affected when it doesn’t operate at full capacity.

Then other things like operator the curve was drawn for excellent operator skill. So, in our problem the operator skill is average. So, accordingly you have to choose the correction factor and apply.

Factors such as visibility or the incline of the terrain where the bulldozer is working can also influence productivity. For instance, if visibility is poor or the machine is working on a slope, these conditions may require a modification of productivity estimates, again using appropriate correction factors.

Think about driving a car. If it's foggy, you need to slow down and drive cautiously to ensure safety, which decreases your travel speed. Similarly, adverse conditions in a worksite slow down productivity.

So, after you estimate the productivity you are asked to estimate the unit cost of proposed earthmoving operation per bank meter cube.

Once you've adjusted the expected productivity of the bulldozer, the next step is to compute the cost associated with moving earth. This involves calculating cost per unit volume (bank meter cube) based on the hourly operational costs in relation to the estimated productivity output. This is essential for making informed budgeting and bidding decisions.

This is similar to running a bakery. If you know how long it takes to bake a batch of cookies and the cost of ingredients available, you can determine how much to charge per cookie to cover expenses and make a profit. Similarly, businesses need to calculate costs relating to the earth moving operations.

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