In this paper, an attempt has been made to highlight an experimental methodology for monitoring contaminant transport through
locally available silty soil and commercially available clay in geotechnical centrifuge models, for different compaction states.
Use of multiple depth sensors to determine depth distribution of sodium chloride in the soil column has been detailed. The
obtained results have been compared with argentometric method. To validate the centrifuge modelling, modelling of models has
been used. The test setup developed can simulate contaminant transport mechanisms through the soil mass, which is approximately
10 m deep, over a period of 600 days. Re and Pe are found to be N times higher in the centrifuge models. These numbers are found to be several orders less than unity. This indicates that
laminar flow prevails and the dominating Cl− transport mechanism in centrifuge is diffusion. The study also highlights the fact that the geotechnical centrifuge modelling
can be used as a viable alternative to field scale experimentation. 相似文献
Statistical analyses were applied at the Hanford Site, USA, to assess groundwater contamination problems that included (1) determining local backgrounds to ascertain whether a facility is affecting the groundwater quality and (2) determining a ‘pre-Hanford' groundwater background to allow formulation of background-based cleanup standards. The primary purpose of this paper is to extend the random effects models for (1) assessing the spatial, temporal, and analytical variability of groundwater background measurements; (2) demonstrating that the usual variance estimate s2, which ignores the variance components, is a biased estimator; (3) providing formulas for calculating the amount of bias; and (4) recommending monitoring strategies to reduce the uncertainty in estimating the average background concentrations. A case study is provided. Results indicate that (1) without considering spatial and temporal variability, there is a high probability of false positives, resulting in unnecessary remediation and/or monitoring expenses; (2) the most effective way to reduce the uncertainty in estimating the average background, and enhance the power of the statistical tests in general, is to increase the number of background wells; and (3) background for a specific constituent should be considered as a statistical distribution, not as a single value or threshold. The methods and the related analysis of variance tables discussed in this paper can be used as diagnostic tools in documenting the extent of inherent spatial and/or temporal variation and to help select an appropriate statistical method for testing purposes. 相似文献
To investigate the effect of temperature on effective diffusion coefficients and retardation factors for Zn and Cd, combined
diffusion and sequential extraction analyses were conducted at 15 ˚C and 55 ˚C. The effective diffusion coefficients of the metals increased up to ten times according to the increased temperature. On
the other hand, the effect of temperature on the retardation factor depended on the retention mechanisms of the metals. The
distribution coefficient for Zn, which was mainly partitioned in the carbonate phase, increased up to two times with the increase
in temperature. On the other hand, the distribution coefficient for Cd, which was mainly partitioned in the exchangeable phase,
was hardly affected by the temperature change. Results of combined diffusion and sequential extraction analysis showed that
the effect of temperature on the heavy metals’ (Zn and Cd) migration through the compacted natural clay was influenced by
the combined effects of the diffusion coefficient and the retardation factor. Additionally, we could also observe the change
in retention mechanism for the metals with the change in pore water concentration. 相似文献
Objective: A novel anthropomorphic test device (ATD) representative of the 50th percentile male soldier is being developed to predict injuries to a vehicle occupant during an underbody blast (UBB). The main objective of this study was to develop and validate a finite element (FE) model of the ATD lower limb outfitted with a military combat boot and to insert the validated lower limb into a model of the full ATD and simulate vertical loading experiments.
Methods: A Belleville desert combat boot model was assigned contacts and material properties based on previous experiments. The boot model was fit to a previously developed model of the barefoot ATD. Validation was performed through 6 matched pair component tests conducted on the Vertically Accelerated Loads Transfer System (VALTS). The load transfer capabilities of the FE model were assessed along with the force-mitigating properties of the boot. The booted lower limb subassembly was then incorporated into a whole-body model of the ATD. Two whole-body VALTS experiments were simulated to evaluate lower limb performance in the whole body.
Results: The lower limb model accurately predicted axial loads measured at heel, tibia, and knee load cells during matched pair component tests. Forces in booted simulations were compared to unbooted simulations and an amount of mitigation similar to that of experiments was observed. In a whole-body loading environment, the model kinematics match those recorded in experiments. The shape and magnitude of experimental force–time curves were accurately predicted by the model. Correlation between the experiments and simulations was backed up by high objective rating scores for all experiments.
Conclusion: The booted lower limb model is accurate in its ability to articulate and transfer loads similar to the physical dummy in simulated underbody loading experiments. The performance of the model leads to the recommendation to use it appropriately as an alternative to costly ATD experiments. 相似文献