A software program has been developed to predict the remaining life of flexible pavements using artificial neural network (ANN) technology. The remaining life due to either rutting or fatigue cracking can be predicted. The inputs to the software are the best estimate of the thickness of the layers, the deflection basin measured with a falling weight deflectometer (FWD), and optionally, the exte…
This paper presents a methodology based on deflection basin parameters and artificial neural networks (ANNs) for processing dynamic falling weight deflectometer (FWD) measurements to estimate layer moduli and condition. Two-dimensional, dynamic, finite element analysis using the ABAQUS program was employed to develop the deflection information for this study. Unlike the majority of the existing…
LOKASI: Ruang Koleksi Umum Rak 2
Keterangan: Weeding (Buku sudah ditarik dari jajaran koleksi) Lokasi: Ruang Deposit
Trr No. 1052 Symposium On Geometric Design For Large Trucks, pp. 2-5
7th REAAA -conference Proceedings-vol. I.
Proceedings of the first international conference on Computing in civil engineering
Proceedings of the first international conference on Computing in civil engineering
Proceedings of the first international conference on Computing in civil engineering