93,739 research outputs found
Existence of the solution for the oxygen diffusion consumption problem in a cylindrical domain
No full textWe study existence and uniqueness of solutions to a free boundary problem modeling tha diffusion and sorption of oxygen in the tissue surrounding a blood vessel
A study of few reality games in Beijing
No full textabstract al convegno internazionale di Busan (South Korea)
2010
www.dcb.or.k
Analiza nakupnega vedenja mladih odraslih porabnikov: primerjava Kitajske, Slovenije in Hrvaške
No full textMednarodne primerjave in raznolikost znotraj države v potrošniških značilnostih mladih odraslih na Kitajskem
No full textDataset for Planar Array with Bidirectional Elements for Tunnel Environments
No full textDataset supports:
Wang, R., Wang, B-Z., Ding, X., & Ou, J-Y. (2017). Planar array with bidirectional elements for tunnel environments. Scientific Reports 7, 15421(2017)
Funded by University of Southampton Zepler Institute Research Collaboration Stimulus Fund.</span
Characterizing the hysteretic response of extended endplate connections based on deformation mode classification
No full textExtended endplate connections (EEPCs) response ranges from full strength to partial strength. In the former, beam buckling is the primary deformation mode, while in the latter, a multitude of deformation modes can occur individually or simultaneously, including endplate bending, column flange bending, and column web-panel zone shear deformation. The deformation mode controls the connection's hysteretic response under cyclic drift demands, and particularly the magnitude of the pinching behavior. To that end, a data-driven study was conducted to first classify the primary deformation mode in EEPCs, out of six prescribed modes, given their geometric layout and material parameters. This is done using decision tree-based approaches that were trained using a large experimental/simulation dataset of more than 1200 data points. The new model constitutes a faster and more accurate alternative to existing analytical and mechanical models. Second, recommendations are provided for the numerical modeling of the connection hysteretic response as part of phenomenological deterioration models. Specifically, empirical values are provided for the pinching, stiffness degradation, and strength degradation parameters. The developed classification model and empirical hysteretic parameters aim to assist in achieving targeted designs and in conducting accurate system-level dynamic simulations
Characterizations of Ding Injective Complexes
No full text©2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
This document is the Accepted version of a Published Work that appeared in final form inBulletin of the Malaysian Mathematical Sciences Society. To access the final edited and published work see https://doi.org/10.1007/s40840-019-00807-8Let R be a ring and X a chain complex of R-modules. It is proven that if each term is Ding injective in R-Mod for all i in Z , and there exists an integer k such that each ZiX is Ding injective in R-Mod for all i>=k , then X is Ding injective in Ch(R) . If R is a left coherent ring, then a chain complex X is Ding injective if and only if each term is Ding injective in R-Mod for all i in Z
Fillunger-Heinrich's Theory of Porodynamics: Predictive Power and Analytical Solution
No full textThe first articulation of the second type of dilatational wave propagating through fluid-saturated geomaterials has been traced to Heinrich's formulation built on Fillunger's framework of the mixture theory and Terzaghi's principle of effective stress. Although this Fillunger-Heinrich theory (FHT) precedes the celebrated Biot's wave theory and Frenkel's theory, research has yet to systematically investigate the FHT's predictive ability. To value the scientific heritage, the original formulation of FHT was first revisited with minor corrections and then reformulated in a dimensionless form. Using the method of separation of variables, an analytical solution was developed for the dimensionless FHT in the context of consolidation under instantaneously applied surcharge and with one-way drainage at the top boundary of the consolidating stratum. The predictive power of FHT was validated against available wave measurements; the proposed solution was verified against the finite-difference method with nonclassical Newmark's integration schemes. The parametric analysis conducted herein further suggests that FHT can qualitatively interpret observed complex phenomena, including the consolidation delay effect, the top-down progressive pattern, and the initial settlement overestimation. FHT significantly fills the knowledge gap between Terzaghi's classic theory and Biot's theory, thus enabling engineers to analyze the one-dimensional dynamic behavior of saturated geo-/poro-materials with incompressible constituents
A high resolution silicon-on-glass Z Axis Gyroscope Operating at Atmospheric Pressure
No full textThis paper describes a high-resolution silicon-on-glass z axis gyroscope operating at atmospheric pressure. The mechanical structure is designed in such a way that it exhibits low cross coupling between drive and sense mode of less than 0.5% simulated using finite-element method and 1.35% verified by experimental measurements. Due to a symmetrically designed structure, the specified bandwidth can be maintained despite of fabrication imperfections. The fabrication process flow is based on a combination of silicon on glass bonding and deep reactive ion etching which results in a large proof mass and capacitances. A closed loop self-oscillation drive interface is used to resonate the gyroscope in the drive mode, which reaches steady-state after 150 ms. Using area-varying capacitors, large quality factors of 217 and 97 for drive and sense mode, respectively, were achieved operating at atmospheric pressure. A low drive voltage, with a 1 Vpeak-peak AC drive amplitude and 10 V DC bias was used to excite the drive mode. The measured scale factor was 10.7 mV/º/s in a range of ±300 º/s with a R2-nonlinearity of 0.12%. The noise equivalent angular rate is 0.0015 º/s/Hz1/2 (=5.4 º/h/Hz1/2) in a 50 Hz bandwidth. The measured SNR was 34 dB at an angular rate input signal with an amplitude of 12.5 º/ s and a frequency of 10 Hz. Without any active temperature control, zero bias stability of 1 was achieved for long-term measurements over six hours and 0.3 º/s for short-term measurements over 120 seconds (1-σ)
Neighborhood component analysis-based feature selection in machine learning to predict tendon ultimate stress of unbonded prestressed concrete beams
No full textPrecisely estimating tendon ultimate stress in prestressed concrete beam members while accounting for the impact of various structural parameters holds practical significance in Structural Engineering. Existing approaches in design codes often rely on simplified empirical formulas, frequently falling in accurately representing outcomes across diverse conditions. This paper proposes a novel application of ensemble learning to predict tendon ultimate stress, leveraging relevant parameters identified through Neighborhood Component Analysis (NCA). NCA is strategically utilized for feature selection, enhancing prediction performance and reducing computational cost. An innovative integration of Gradient Boosted Regression Trees (GBRT) with Bayesian optimization for hyper-parameter tuning is introduced, trained, and validated using a robust database of 251 experimental results from simply supported prestressed concrete beams, encompassing a wide range of conditions and structural configurations. The study employs Individual Conditional Expectation (ICE) analysis to elucidate the correlation between input variables and predictions, providing deeper insights into parameter influence. Additionally, the GBRT model is benchmarked against state-of-the-art machine learning algorithms, including Artificial Neural Networks (ANN), Support Vector Machine (SVM), Decision Trees (DT), and Random Forest (RF), demonstrating a good prediction accuracy with R2 of 0.9330. Detailed correlation analysis and benchmarking results highlight the robustness and reliability of the proposed model, underscoring its potential to improve the design of prestressed concrete beam members and offering a significant improvement over traditional empirical approaches
- …
