The design of a drainage system for a roofing slate quarry was implemented by the enhancement of discharge peak estimation, and the uncertainty inevitably associated with the engineering model was reduced.
The development of a topographical, geological, and vegetation cover database developed from a Geographical Information System (GIS) allowed for the definition of the drainage network for a hydraulic system, along with the calculation of the runoff coefficient. This is applied to the digital model of accumulated flow (DMF) as a weight correction coefficient, using a matrix-based model at 5×5 m resolution. The new digital model of corrected accumulated flow (DMCF) is the result of combining the thematic maps with the map of slope <3%, which was previously created from the slope model. It is demonstrated that this new model allows to apply the “Rational Method” on cartographic units defined by the GIS.
The DMCF is compared with other traditional applications of the Rational Method based on the calculation of the discharge peak considering: (1) the drainage basin as a single watershed or (2) defining an average runoff coefficient in each sub-watershed. Both approaches have bigger discharge peaks than those obtained by the DMCF since the slope, lithology, and vegetation cover have average values, and the runoff coefficient is poorly defined, increasing the uncertainty in the discharge peak. 相似文献
The design methods currently used for earth reinforcement are mostly based on deterministic properties of both the soil and
the construction materials used. Nowadays, however, the general trend is designing at a specific degree of reliability. This
is even more true where the raw data such as soil properties exhibit significant variation. Deterministic solutions, in this
case, may not suffice. Therefore, this paper will attempt to use probabilistic formulations thereby modifying the existing
design procedure of reinforced earth retaining walls to account for uncertainties and variabilities. Through a first order
Taylor's series expansion about the mean, the mean and variance of the strip reinforcing components, namely width and length,
are derived in terms of the variations in the soil properties. Design charts that enable estimation of both mean and variance
are developed to avoid extensive partial differentiation involved in the computations. Using appropriate probability distributions
along with the mean and variance, the final design outputs are determined for a selected failure probability by introducing
what is refered to as 'risk index'. The results indicate that the risk index increases with an increase in the coefficient
of variations and a decrease in failure probability. Furthermore, it is shown that in some cases, depending on the variabilities
of the soil properties, the classical design technique produced a relatively high failure probability.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献