Iteration. 6.1 Students will be able to program loops with the while and for statements
Iteration. Adopt an iterative approach, providing opportunities to adjust the goals, method and outcomes as the project progresses, and identify checkpoints for discussion.
Iteration. A set of instructions or directions repeated in sequence a specified number of times or until a condition is met. The outcome of each iteration is then the starting point of the next iteration.
Iteration. Because the NCHRP 1-37A software only allows for the analysis of one pavement section at a time, calibration is an iterative process, as described in Figure 29. A set of calibration factors is chosen and then the design software is run on a calibration section. On the basis of results, the calibration factors are changed in order of high to low elasticity, and the design software is run again. When this process converges on an acceptable set of calibration factors, it is essentially repeated for the validation sections. Input one calibration section Change transverse cracking calibration factors No Estimated transverse cracking 1/3 of actual cracking? Yes No Estimated faulting equle to actual faulting? Yes No Estimated cracking≈ 1/3 actual? Estimated faulting ≈ actual? Yes No Estimated cracking ≈ 1/3 actual? Estimated faulting ≈ actual? Yes No Estimated cracking≈1/3 cracking? Estimated faulting≈ actual? Yes
Iteration. Why the change?
Iteration. This agreement can be terminated at 6 months’ notice at the end of a quarter. Notice of termination shall be given in writing in order to be valid. During the period of notice the customer shall be committed to send in original invoices as usual.
Iteration. 2 XXX prototype focused on management overview of status and data publication. The testing was on the functional requirements that have been designated as ‘Must’ haves and that belong to all workflow steps. This iteration also included requirements that were planned, but not yet operational in iteration 1. ➢ The results of testing iteration 2 XXX are part of D4.1(v2) Control Export Evaluation Report (M20 – November 2013). Iteration 3 XXX prototype is a refinement of the functionalities tested in the previous iterations and includes two new functionalities: push or pull and the enrich and the return process from the Europeana portal (content re-ingestion).
Iteration. Because the NCHRP 1-37A software only allows for the analysis of one pavement section at a time, calibration is an iterative process, as described in Figure 29. A set of calibration factors is chosen and then the design software is run on a calibration section. On the basis of results, the calibration factors are changed in order of high to low elasticity, and the design software is run again. When this process converges on an acceptable set of calibration factors, it is essentially repeated for the validation sections. No Estimated transverse cracking 1/3 of actual cracking? Yes No Estimated faulting equle to actual faulting? Estimated IRI equle to actual IRI? No Yes Yes No Estimated cracking≈ 1/3 actual? Estimated faulting ≈ actual? Estimated IRI close to actual IRI? No Yes Yes No Estimated cracking ≈ 1/3 actual? Estimated faulting ≈ actual? Estimated IRI close to actual IRI? No Yes Yes No Estimated cracking≈1/3 cracking? Estimated faulting≈actual? Estimated IRI close to actual IRI? No Yes Yes Output the calibration factors Input a validation section with different base material Input a validation section with different base material Input a validation section with different traffic loading Input a validation section with different traffic loading Input a validation section with different climate Input a validation section with different climate Change roughness calibration factors Change faulting calibration factors Input one calibration section Change transverse cracking calibration factors Figure 29 NCHRP 1-37A calibration methodology flowchart.
Iteration. Prediction and validation need to iterate continuously. WP6 will therefore continuously communicate with WP2-5. It is envisaged that most exchange of NewProt staff between the partner's labs will be related to this iteration process. Coordination of WP and tasks: WP 6: Xxx Xxxxxxxxxxx (EMAUG) task 6.1: Xxx Xxxxxx (ENZYM) Validation task 1 (+EMAUG) task 6.2: Xxx Xxxxxx (INGEN) Validation task 2 (+EMAUG) task 6.3: Xxxxx Xxxxxxxx (SAFAN) Validation task 3 (+LEAD) Person-Months per Participant Participant number 10 Participant short name 11 Person-months per participant 2 EMAUG 84.00 4 ENZYM 23.00 6 INGEN 23.00 9 LEAD 3.00 Total 133.00 List of deliverables Delive- rable Number 61 Deliverable Title Lead benefi- ciary number Estimated indicative person- months Nature 62 Dissemi- nation level 63 Delivery date 64 D6.1 Validation year 1 2 24.00 R PU 12 D6.2 Validation year 2 2 30.00 R PU 24 D6.3 Validation year 3 2 36.00 R PU 36 D6.4 Validation year 4 2 43.00 R PU 48 Total 133.00 Description of deliverables
