Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...
A comprehensive, modular Python automation system for HEC-RAS flood analysis workflows. This professional-grade tool demonstrates advanced hydraulic modeling capabilities, Python integration, and ...
Abstract: This paper presents an estimate of discharge for a stream section. Surface runoff is a significant part of the hydrological cycle and a key source of energy that meets human requirements.
Department of Chemical Engineering, The Pennsylvania State University, State College, University Park, Pennsylvania 16802, United States ...
1 Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, College of Architectural and Civil Engineering, Huanghuai University, Zhumadian, China 2 College of ...
Abstract: In order to analyze the specific impact of key parameters of an internal combustion engine on its economy, a gas consumption sensitivity analysis model based on a deep feed-forward neural ...
This paper firstly described the dam break in the aspects of theories and models. Break parameters prediction, the understanding of dam break mechanics, peak outflow prediction were shown as the ...
The temperature profile plays an important role in well integrity, flow assurance, and well test. Meanwhile, the impact of engineering conditions should not be ignored while calculating the well ...
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