"As for the balcony having redundancy, I don't see any."
Let's suppose that the balcony was only supported by the outriggers, and further suppose that a sensible design would have made each of the outriggers capable of supporting the entire load of the balcony. Then, by definition, there is redundancy. Since the balcony actually has 5 joists in addition to the outriggers, I think that meets the literal definition of redundancy. The fact that they all failed at the same, or nearly the same, time does not void the redundancy. Even if the railings had been a tertiary support, the same rot that affected the joists could have just as easily been located on whatever the railing might have been anchored upon, since each fastener requires penetration of the outer wall, and runs the risk of water intrusion.
My point is that there are always failure points; they're unavoidable. Even the redundancy professionals get it wrong sometimes, such as in the case of the DC-10 hydraulic systems, which were fully redundant, except at one specific spot in the tail, which was tolerably protected, until the rear mounted turbine developed a catastrophic blade failure, and took out all the hydraulics which had no cable backup, since it was nearly impossible, statistically, for all redundant hydraulics to simultaneously fail.
The issue is that redundancy is a slippery slope; where do you draw the statistical line in the sand, and can you live with the consequences when the line is crossed. Much of redundancy reliability is tied to the statistical analysis of probability of occurrence. So, even in the best case, an unknown probability can be assigned a lower value than what is real. Or, equally likely, the probability is correctly remote, but that probability card just shows up in the deck.
Case in point, and even considering the other balcony failure just reported, what is the statistical likelihood of a balcony failure? Is it one failure per million balcony-hours, or one per billion, or even trillion? Would any seriously contemplate potentially doubling the cost of a balcony to prevent a one in a billion balcony-hour failure probability? What about all the other one in a billion balcony-hour failures? Do we protect against them as well? The balcony-hours as I use it here is the number of actual balconies multiplied by the number of hours, so assume the the US as 70M housing units and 1/100 have a balcony, and assume there is one balcony failure every 2 years would result in 1 per 12 billion balcony-hours as the failure rate.
TTFN
faq731-376
Need help writing a question or understanding a reply? forum1529
Of course I can. I can do anything. I can do absolutely anything. I'm an expert!
There is a homework forum hosted by engineering.com: