ArticleMethodsX2025
Detection of chaotic patterns in dripping faucets through nonlinear dynamic system analysis based on observations using 2700 high-frequency frames.
Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study is the detection of chaotic patterns in the dripping of a faucet by means of nonlinear dynamical systems analysis. A controlled experiment was designed by setting up a physical system with a dripping faucet under varying conditions. High-speed cameras were used to capture video sequences and analyze the time series of the dripping under different conditions, including variations in water pressure and drip rate. The analysis included the calculation of indicators for the time series of dripping from a faucet. Thus, the 0-1 chaos test for the drip rate showed a high value (0.841), suggesting chaotic dynamics, while the Kaplan-Yorke exponent (79.935) confirms the fractal complexity of the system. Although the Kolmogorov-Sinai entropy did not evidence strictly chaotic behavior, the analysis of the Lyapunov exponent (-0.0136) points to the presence of moderate stability under certain conditions. These results, combined with the high complexities observed in the permutation entropy (0.893) and the nonlinear dynamics of the system, suggest that the tap drip under specific conditions can be modeled as a chaotic dynamical system. These findings are relevant in the study of nonlinear dynamics in hydraulic systems related to the modeling of chaotic systems in engineering and applied physics do is to find evidence of self-organization in hydraulic geometry.•The experimental behavior of the dripping faucet demonstrates nonlinear dynamics suggesting underlying complexity and possible chaotic patterns in the system flow.•The observed dynamics highlight the importance of studying drip systems to better understand and model the intricate behavior of hydraulic flows under controlled conditions.•This analysis provides insight into the chaotic tendencies of drip systems, which could have broader implications for understanding and predicting nonlinear behaviors in hydraulic and physical systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.