scholarly journals Advanced Graphical–Analytical Method of Pipe Tank Design Integrated with Sensitivity Analysis for Sustainable Stormwater Management in Urbanized Catchments

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1035
Author(s):  
Bartosz Szeląg ◽  
Adam Kiczko ◽  
Anna Musz-Pomorska ◽  
Marcin K. Widomski ◽  
Jacek Zaburko ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Analytical Method ◽  
Design Method ◽  
Accurate Method ◽  
Urban Catchment ◽  
Storm Water Management Model ◽  
Catchment Areas ◽  
Calculation Methodology ◽  
Tank Design ◽  
Spatial Plan

Pipe tanks represent important runoff retention elements of urban stormwater systems. They enable us to reduce and retain runoff as well as to mitigate peak flows in the network. Pipe tanks are often taken into account while designing the spatial plan of urban catchment areas. Hence, there is a need to develop a relatively quick and accurate method for pipe tank dimensioning. A graphical–analytical method of designing a pipe tank is presented in the paper. In the assumed methodology, the possibility of employing machine learning for obtaining a more precise error prediction of the proposed pipe tank design method (compared with the tank volume simulations using the storm water management model (SWMM)) are considered. Thus far, this aspect has not been discussed in the literature. In the adopted calculation methodology, sensitivity analysis constitutes an important element, enabling us to assess the influence of the input data assumed for tank design on the dimensions of the outflow devices and the length of the retention chamber.

Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales – Geostatistical interpolation framework

2021 ◽  
Author(s):  
Micha Eisele ◽  
Maximilian Graf ◽  
Abbas El Hachem ◽  
Jochen Seidel ◽  
Christian Chwala ◽  
...  
Keyword(s):  
Meteorological Data ◽  
Pearson Correlation ◽  
Urban Catchment ◽  
Space And Time ◽  
Geostatistical Interpolation ◽  
Primary Network ◽  
Ground Measurement ◽  
Catchment Areas ◽  
Important Input ◽  
Spatio Temporal

<p>Precipitation - highly variable in space and time - is the most important input for many hydrological models. As these models become more and more detailed in space and time, high-resolution input data are required. Especially for modeling and prediction in fast reacting catchments, such as urban catchment areas, a higher space-time resolution is needed than the current ground measurement networks operated by national weather services usually provide. With the increasing number and availability of opportunistic sensors such as commercial microwave links (CMLs) and personal weather stations (PWS) in recent years, new opportunities for measuring meteorological data are emerging.</p><p>We developed a geostatistical interpolation framework which allows a combination of different opportunistic sensors and their specific features and geometric properties, e.g. point and line information. In this framework, a combined kriging approach is introduced, taking into account not only the point information of a reliable primary network, e.g., from national weather services, but also the higher uncertainty of the PWS- and CML-based precipitation. The path-averaged information of the CMLs is included through a block kriging-type approach.</p><p>The methodology was applied for two 7-months periods in Germany using an hourly temporal and a 1x1 km spatial resolution. By incorporating CMLs and PWS, the Pearson correlation could be increased from 0.56 to 0.73 compared to using only primary network for interpolation. The resulting precipitation maps also provided good agreement compared to gauge adjusted radar products.</p>

Aspects of Experimental Errors and Data Reduction Schemes From Spherical Indentation of Isotropic Materials

2014 ◽  
Vol 136 (3) ◽  
Author(s):  
J. K. Phadikar ◽  
T. A. Bogetti ◽  
A. M. Karlsson
Keyword(s):  
Sensitivity Analysis ◽  
Experimental Investigation ◽  
Monte Carlo ◽  
Condition Number ◽  
Data Reduction ◽  
Material Properties ◽  
Analytical Method ◽  
Systematic Investigation ◽  
Spherical Indentation ◽  
Experimental Errors

Sensitivity to experimental errors determines the reliability and usefulness of any experimental investigation. Thus, it is important to understand how various test techniques are affected by expected experimental errors. Here, a semi-analytical method based on the concept of condition number is explored for systematic investigation of the sensitivity of spherical indentation to experimental errors. The method is employed to investigate the reliability of various possible spherical indentation protocols, providing a ranking of the selected data reduction protocols from least to most sensitive to experimental errors. Explicit Monte Carlo sensitivity analysis is employed to provide further insight of selected protocol, supporting the ranking. The results suggest that the proposed method for estimating the sensitivity to experimental errors is a useful tool. Moreover, in the case of spherical indentation, the experimental errors must be very small to give reliable material properties.

Design of geosynthetic reinforcements for platforms subjected to localized sinkholes

2008 ◽  
Vol 45 (2) ◽  
pp. 196-209 ◽  
Author(s):  
Pascal Villard ◽  
Laurent Briançon
Keyword(s):  
Analytical Method ◽  
Design Method ◽  
Element Model ◽  
Full Scale ◽  
Geosynthetic Reinforcement ◽  
New Developments ◽  
Full Scale Experiment ◽  
Current Design ◽  
Scale Experiment ◽  
Comparison Of The Results

Construction of road and railway platforms in areas subject to localized sinkholes requires the use of specific reinforcements, for example, geosynthetics. The current design method for these structures is based on the assumption that there is no displacement of the geosynthetic in the anchorage areas on either side of the cavity. A new analytical method is proposed that takes into account the displacements and deformation of the geosynthetic reinforcement in the anchorage areas and the increase in stress at the edge of the cavity. To validate this new analytical method, a full-scale experiment was carried out; the use of optical fibre sensors integrated into the geosynthetic sheet made it possible to accurately measure the strain of the geosynthetic reinforcement. Comparison of the results obtained by this new analytical method with measurements of a full-scale experiment and the results of a finite element model confirmed the relevance of these new developments.

Adaptable Product Platform-Based Product Family Design of Crane

2013 ◽  
Vol 475-476 ◽  
pp. 1402-1405
Author(s):  
Xian Fu Cheng ◽  
Qi Hang Zhu
Keyword(s):  
Sensitivity Analysis ◽  
Design Method ◽  
Product Family ◽  
Design Parameters ◽  
Design Matrix ◽  
Product Platform ◽  
Bridge Crane ◽  
Functional Requirements ◽  
Product Family Design ◽  
Design Relation

A new design method for product family was presented based on adaptable product platform. Firstly, customer demands were analyzed for bridge crane. Secondly, axiomatic design was utilized as framework to zigzaging mapping between functional requirements and design parameters, and design matrix was established. Then the sensitivity analysis among design parameters and between design parameters and functional requirements was done. The design relation matrix was established and relation degree among design parameters was calculated. Based on above analysis, the platform parameters were identified.

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