President, several representatives, chairmans of several institutions (ie. central bank), 4 commanders of 4 types of armed forces, many politicians - effects are like inverted coup d'etat - most of them were opposition. That means unexpected changes...
Some differences there: we know about 90 peolpe on the flight list and probably 2 or 3 that didnt go on that plane. Reuters, Euronews and Novosti say about 132 people.
No - I am not speculating. I just show how we perceive that loss.
We had in WWII two reminding tragedies: Commander in Chief died in plane crash in Gibraltar. It is said that because of his knowledge on more than 20,000 officers (which meant - doctors, engieneers, lawyers) captured and killed in Katyn, Russia. This one looks like both for us, and it happened near Katyn, just before mourning celebrations of this.
OK, I scaled the units, scaled change of longitudinal force according to the Figure 6.
And comparing to simple scaling to Fxmax (so Fx*Fy doesnt go over Fxmax) it looks bit different still . If anybody wants I attach .xls also.
@Nikn: I think you should zoom it in to get the feel of one quater 'cos it is symmetrical
BTW: I perceived those graphs as geometrical and forgot about units. In fact it doesnt matter if I use %, degrees or rads but the numbers should be used in the proper places for chosen units if taken from other charts
But if you want numbers: here you go (this is also the saddle but bit different as I dont have previous one and had to figure out again). And I know what you are pointing out - this is because I used linear or exponential proportion instead of hyperbolic for changing of force curve along the opposite coordinate because I didnt bother for big values (more than 8-10%and 8-10 degrees) of SR and SA.
edit: F*ck it - comma. For me it was all scalable but I was changing Fx 10x too fast
Fx - Slip Ratio from 0 to 90%, Slip Angle for 2, 5, 8 and 12 degrees on Figure 6.
Fy - Slip Angle from 0 to 30 degrees and SR 10, 20, 40 and 80% on Figure 7.
Well, I took data from Figure 7 for lateral force and for Figure 6 for longitudinal and then combined them vectorially (which result is shown on my 3d graphs)
I can see and appreciate your understanding and answers.
Well, I dont know if it is actually attainable without filtering all racers lagging even a little. Any lag makes it inevitable when car "appears" to be in the barrier thus creating burst of energy (in fact it should be only possible between cars not car and barrier, because car/barrier hit happens on local PC). Maybe it would be achieved if collision detection took into account lag: so it not only calculated vehicle dynamic between packets but also solved situation of big difference between not only position of the car but also enormous difference between ie. speed calculated and received. That doesn't change the fact of cars in collision position after synchronizing packets.
Does it mmean that with my stats since 2004 I dont have to climb on ladders with your insim?
Well, I have to disagree - I cant show diagram of Fx vs. Fy right now but I think, looking at Bob's charts (Fx for different SA and Fy for SR) that combined would look alike.
The small diagrams I showed beneath those plateaus show the same - just a quadrant and 2d instead of 3d (XMR ). But I noticed how important is not only pure one force view but also the way it changes along with opposite coordinate.
I can make charts using Pacejka model using those data:
TABLE 1.2 Average Values of Coefficient of Road Adhesion Surface Peak Value µp Sliding Value µs Asphalt and concrete (dry) 0.8–0.9 0.75 Asphalt (wet) 0.5–0.7 0.45–0.6 Concrete (wet) 0.8 0.7 Gravel 0.6 0.55 Earth road (dry) 0.68 0.65 Earth road (wet) 0.55 0.4–0.5 Snow (hard-packed) 0.2 0.15 Ice 0.1 0.07
But without data on how separate forces behave in regards to opposite coordinate (if I call it correctly) I would be just speculating. The shape (not onl peak and sliding values) of the forces is also very important.
Like on this next diagram - where in order to avoid "miraculous" traction regaining with tyre of difference and sharp change between peak and sliding value big drop of traction along with opposite coordinate is needed. Also a table if someone likes it colorful.
Indeed, the paper with empirical survey shows somewhat different - the drop is bigger there on lateral force but there could be many issues regarding tyre type.
But nevertheless diagrams you showed (are you Ben or Bob? :tilt look more alike those empirical than those derived from Pacejka's model and Friction Circle, which I attached (for me Fx vs. Fy diagrams are somewhat non-intuitive and the differences between characteristics are not so clear).
where are the axis? what are the segment views for Fx (fn to SA) and Fy (fn to SR)? What empirical data was that based on? I just wanted to know so I could tell - should you just tweak some inputs or you have plainly wrong model?
And did you measured it? guestimated? or just guessed? if first - great! if second - not bad! if the last - wish you luck!
OK, so here you go with the perfect saddle I have mentioned earlier. You can see how do segment views look in this situation. In fact this is the graphical representation of Grip Circle (although there should be some kind of one level area). Furthermore, you can see the nose-dive when going off the circle, which without empirical data was in fact guessing.
In extreme situation it looks like on the second diagram I named "rain".
According to those diagrams for separate force component for opposite coordinate... it always is when the off-grip part of curve doesn't drop much if at all (with change of opposite coordinate).
I will post today a graph with Lateral Force characteristic more like this one (dotted line on the higher diagram): http://www.lfsforum.net/attach ... d=103386&d=1270299972 - these measures were taken for, as I remember, normal threadded tyre with high sidewalls, so for low slicks it would look different.
Nevertheless, before I step into fiddling data to represent reality I think this approach is viable, more viable than Friction Circle approach which is in fact only one of the states for given coefficients. While using Friction Circle leads to sheer guess what happens beyond that and in fact as you stated Todd, it is based on fake assumption that forces for opposite coordinate equaling zero can be summed as vectors to get combined force (so in fact that is also sheer guess).