How to calculate values for the first row that meets a certain condition?

I have the following dummy dataframe:

t <- data.frame(
           a= c(0,0,2,4,5),
           b= c(0,0,4,6,5))

a   b
0   0
0   0
2   4
4   6
5   5

I want to replace just the first value that it is not zero for the column b. Imagine that the row that meets this criteria is i. I want to replace t$b[i] with t[i+2]+t[i+1] and the rest of t$b should remain the same. So the output would be

a   b
0   0
0   0
2  11
4   6
5   5

In fact the dataset is dynamic so I cannot directly point to a specific row, it has to meet the criteria of being the first row not equal to zero in column b.
How can I create this new t$b?

>Solution :

Here is a straight forward solution in base R:

t <- data.frame(
  a= c(0,0,2,4,5),
  b= c(0,0,4,6,5))


ind <- which(t$b > 0)[1L]
t$b[ind] <- t$b[ind+2L] + t$b[ind+1L]
t
  a  b
1 0  0
2 0  0
3 2 11
4 4  6
5 5  5