Read it, and I have to agree with his point about the lack of deceleration of the upper block implying an inordinant lack of resistance from the structure below.
The structure below does resist, as evidenced by the <g acceleration. Resistance does not imply deceleration, it only implies less acceleration. How do you decide how much less acceleration is ordinate or inordinate?
Are there any publications that refute his work? Or do engineering journals not recognize the journal he published it in?
No, he published in a pseudo-journal that enjoys no professional and academic reputation whatsoever. Therefore, there is no published and peer-reviewed refutation, afaik.
We have discussed the paper at length here at JREF. Try the search-function.
What are the main reasons for the inability of the lower structures to have provided basically no resistance to the falling top section? As implied by the roofs velocity curve.
Your claim of "no resistance" is false. No resistance would mean acceleration at g from roof to ground. This didn't happen.
Szamboti claims that "jolts" (vaguely defined as either sudden episodes of decelaration, or near-instantanious decreases of acceleration) should be measurable in videos of the collapse.
Several JREFers have pointed out, among other things, that
- decreases of acceleration are in fact present in Szamboti's data, contrary to his claims
- Szamboti did not estimate margins of error inherent in his data
- Szamboti overlooked that at the sampling rate given by the video cameras (frames per second), it would be possible to overlook real jolts (actual decelerations)
- Szamboti assumes that all severed columns of the falling upper block could make full contact with their counterparts of the still intact lower block; however, this is impossible because of the observed tilt of the upper block. Any resistance would be smeared out over longer frames of time, precluding any measurable jolts.
So basically, as I understand it, the refutation consisted of showing that the jolts Szamboti was looking for would be expected to be too small to be distinguishable from noise in the data.