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Training "Load": Raise and Fill

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When it comes to quantifying overall training "load" it really doesn't get any better than:

1) monitoring time spent going hard in significant/meaningful chunks (i.e - if it feels hard, then it is hard.  so, yeah, log it as such...)

2) monitoring KJ's of external work (yeah, strava gets it good enough for solo rides)

 

Last Updated on Saturday, 23 March 2013 20:17 Read more...
 

Not Impressed

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The caption here and article here reports that the guys using math, power, and speed (and variable ambient conditions) have produced a system that tells a user(s?) of said system that using 160 psi rather than 170 psi pressure on this particular indoor track (i.e, an environment pretty damn close to a smooth roller) generates a 75% increase in Crr.

Last Updated on Saturday, 09 March 2013 04:35 Read more...
 

A Plot With Many Panels

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A bit confusing, I'll admit...but essentially, the plot shows that, during a european classic, gizmo power doles out bonus watts for a lower average power but constant variability/std deviation (lower right panel).  I still don't understand the value on pinning a single number on the deal.

Training/Racing your bike is pretty basic:

 

Last Updated on Friday, 08 March 2013 03:51 Read more...
 

CFD: Drafting & Interactions

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An interesting article here regarding the folks behind the journal article on drafting I referenced a couple of weeks ago.

While reading the latter bits of that article about the catch-all disclaimer in academia: "future work" (i.e, lateral separation/passing maneuvers/echelons), I reflected upon an experience I had many moons ago where I was contacted by a UCI ProTour rider..

Last Updated on Saturday, 16 February 2013 02:06 Read more...
 

tunnel and cfd study of 2up drafting

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Below is a study from 2013 that has cfd and wind tunnel results that shed further light on the aerodynamic interaction between drafting cyclists.  Eyeballing figure 6b indicates that at a separation distance of ~15cm (I'd consider this typical) the lead cyclist can see around a 1-2% reduction in CxA.  A few things here when placing these CFD and wind tunnel result into context:

1) a simplified inviscid analysis yields similar results

2) using 1:10 scale model race car data yields similar results

3) table 5 is something to consider when observing follow car separation distance during TT's:

http://i1.mirror.co.uk/incoming/article1152970.ece/ALTERNATES/s615/Bradley+Wiggins+of+Britain+crosses+the+finish+line+during+the+individual+time+trial+of+the+19th+stage+of+the+99th+Tour+de+France+cycling+race+between+Bonneval+and+Chartres

4) if you are reporting 4x-8x+ what is suggested by these multiple independent lines of inquiry, check your experimental setup, and test again, and again, and again...

5) if you are using a powermeter to quantify this leading cyclist drafting effect, you've got your work cut out for you

 

Here's the link to the study:

http://sts.bwk.tue.nl/windengineering/pdf/2013_CAF_BB_TD_EK_JC_PH_Preprint.pdf

 

 

 


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