Flexural behavior of steel fiber reinforced concrete: testing and modelling

In this paper the results of tests performed on specimens and structural elements made of steel fiber reinforced concrete are presented. Fiber content ranged from 0 to 60 kg/m3 of concrete. Using the results of the uniaxial compression tests performed under displacement control condition, a stress strain relationship for fiber concrete in compression was derived. Three point bending tests on notched beams were carried out in order to simulate the post cracking behavior and to evaluate the fracture energy. Based on the constitutive relationships derived from the experiments, a layered model for the analysis of steel fiber reinforced concrete cross sections was developed. The model performance and the benefits of fiber reinforcement on thin slabs reinforced with steel bars were assessed by carrying out tests on slab strips. The main results are presented and discussed

Application of recycled tyre cord in concrete for shrinkage crack control

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43027/1/10855_2004_Article_BF00275355.pd

Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance

[[abstract]]Typhoons are among the greatest natural hazards along East Asian coasts. Typhoon-related precipitation can produce flooding that is often only predictable a few hours in advance. Here, we present a machine-learning method comparing projected typhoon tracks with past trajectories, then using the information to predict flood hydrographs for a watershed on Taiwan. The hydrographs provide early warning of possible flooding prior to typhoon landfall, and then real-time updates of expected flooding along the typhoon’s path. The method associates different types of typhoon tracks with landscape topography and runoff data to estimate the water inflow into a reservoir, allowing prediction of flood hydrographs up to two days in advance with continual updates. Modelling involves identifying typhoon track vectors, clustering vectors using a self-organizing map, extracting flow characteristic curves, and predicting flood hydrographs. This machine learning approach can significantly improve existing flood warning systems and provide early warnings to reservoir management.[[notice]]補正完

MTCP: Scalable TCP-like Congestion Control for Reliable Multicast

We present MTCP, a congestion control scheme for large-scalereliabs multicast. Congestion control forreliab( multicast is important,bporta of its wide applications in multimedia andcollabq*Fqz' computing, yet non-trivial, bnon-t of the potentially large numb* of receivers involved. Many schemes have bve proposed to handle the recovery of lost packets in ascalab* manner,bn there is little work on the design and implementation of congestion control schemes forreliab# multicast. We propose new techniques that can e#ectively handle instances of congestion occurring simultaneously at various parts of a multicast tree

Fiber reinforced cement composites

Index Bibl. : setiap bab.xvii, 530 hlm. : il. ; 24 cm