Search Results - "Random Design Variable"

基于ADAMS的轴对称矢量喷管喷口精度分析. (Chinese)

Alternate Title: Analysis of Axial-Symmetric Vectoring Exhaust Nozzle’s Nozzle Accuracy Based on ADAMS. (English)

Authors: 党鹏飞 王雨 杨铮鑫

Source: Machine Tool & Hydraulics; Nov2023, Vol. 51 Issue 21, p193-198, 6p

Curve-Based Infill Pattern Optimization for 3D Printed Polymeric Scaffolds for Trabecular Bone Applications.

Authors: Vega, Gisela Paz, Rubén Monzón, Mario et al.

Source: Materials (1996-1944); Sep2025, Vol. 18 Issue 17, p4055, 25p

Subject Terms: TISSUE engineering, CELL proliferation, POROUS polymers, CANCELLOUS bone, MATHEMATICAL optimization, FINITE element method, THREE-dimensional printing

Multiobjective fuzzy and stochastic engineering optimization with maximizing reliability

Authors: Shih, C. J. Wang, C. S. 淡江大學機械與機電工程學系

Contributors: Shih, C. J. Wang, C. S. 淡江大學機械與機電工程學系

Subject Terms: 多目標模糊最佳化, 隨機設計變數, 模糊隨機限制, 可靠度, Multiobjective Fuzzy Optimization, Random Design Variable, Fuzzy Probabilistic Constraint, Reliability

Relation: Proceedings of the 1996 Asian Fuzzy Systems Symposium--Soft Computing in Intelligent Systems and Information Processing，頁302-307; 1996 Asian Fuzzy Systems Symposium─Soft Computing in Intelligent Systems and Information Processing; https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/38163; https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/38163/1/index.html

Availability: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/38163
https://doi.org/10.1109/AFSS.1996.583618
https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/38163/1/index.html
https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/38163/-1/Multiobjective Fuzzy and Stochastic Engineering Optimization with Maximizing Reliability _英文摘要.docx

The Constraint Function Response Shifting Scalar-Based Optimization Method for the Reliability-Based Dynamic Optimization Problem.

Authors: Qiao, Ping Zhang, Qi Wu, Yizhong

Source: Mathematics (2227-7390); Feb2025, Vol. 13 Issue 4, p567, 25p

Subject Terms: PROBABILITY density function, DYNAMICAL systems, RANDOM variables, FUNCTION spaces, ORBITS (Astronomy)

Modeling and reliability analysis of the micro-milling process considering stochastic tool wear with surrogate models.

Authors: Ding, Pengfei Huang, Xianzhen Rong, Zhiming et al.

Source: Mechanics Based Design of Structures & Machines; 2025, Vol. 53 Issue 1, p611-640, 30p

Subject Terms: DISTRIBUTION (Probability theory), MECHANICAL models, CUTTING force, SYSTEM failures, STOCHASTIC processes, MACHINING, SOFTWARE reliability

Confidence Intervals for Nonparametric Regression Functions with Missing Data.

Authors: Qin, Yongsong Qiu, Tao Lei, Qingzhu

Source: Communications in Statistics: Theory & Methods; Oct2014, Vol. 43 Issue 19, p4123-4142, 20p

Subject Terms: CONFIDENCE intervals, NONPARAMETRIC estimation, REGRESSION analysis, MATHEMATICAL functions, MISSING data (Statistics), EMPIRICAL research

A Probabilistic Model-Based Framework for Damage Detection in Beam-Like Structures Considering Temperature Effects.

Authors: Altammar, Hussain

Source: International Journal of Acoustics & Vibration; Dec2024, Vol. 29 Issue 4, p415-430, 16p

Subject Terms: STRUCTURAL health monitoring, STRESS corrosion cracking, TEMPERATURE effect, LOW temperatures, PROBABILITY theory

Integrated Two Variant Deep Learners for Aspect-Based Sentiment Analysis: An Improved Meta-Heuristic-Based Model.

Authors: Datta, Samik Chakrabarti, Satyajit

Source: Cybernetics & Systems; 2024, Vol. 55 Issue 7, p1631-1667, 37p

Subject Terms: CONVOLUTIONAL neural networks, RECURRENT neural networks, OPTIMIZATION algorithms, DEEP learning, WEB portals

Reliability-Based Design Optimization for Polymer Electrolyte Membrane Fuel Cells: Tackling Dimensional Uncertainties in Manufacturing and Their Effects on Costs of Cathode Gas Diffusion Layer and Bipolar Plates.

Authors: Vaz, Neil Lim, Kisung Choi, Jaeyoo et al.

Source: Molecules; Sep2024, Vol. 29 Issue 18, p4381, 26p

Subject Terms: PROTON exchange membrane fuel cells, GREENHOUSE gas mitigation, MONTE Carlo method, COST control, CATHODES

A decoupled probabilistic constrained topology optimization method based on the constraint shift.

Authors: Li, Kangjie

Source: International Journal for Numerical Methods in Engineering; 8/30/2024, Vol. 125 Issue 16, p1-24, 24p

Subject Terms: ARTIFICIAL neural networks, CONSTRAINED optimization, FINITE differences, INTERIOR-point methods

Reliability Optimization Design of Constrained Metamorphic Mechanism Based on the Augmented Assur Groups.

Authors: Yang, Qiang Zhang, Hongxiang Sun, Benqi et al.

Source: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 15, p6524, 30p

Subject Terms: PAPER arts, CONSTRAINED optimization, SENSITIVITY analysis, EVALUATION methodology, ENGINEERING

On optimizing the sensor spacing for pressure measurements on wind turbine airfoils.

Authors: Fritz, Erik K. Kelley, Christopher L. Brown, Kenneth A.

Source: Wind Energy Science; 2024, Vol. 9 Issue 8, p1713-1726, 14p

Subject Terms: DETECTORS, WIND power plants, AEROFOILS, GENETIC algorithms, AERODYNAMIC load

Efficiency-based design optimization of the H-type Darrieus wind turbine with fixed guiding-walls

Authors: Roaa Ansaf H.S. Abdelhameed Islam Hashem et al.

Source: Energy Reports, Vol 9, Iss , Pp 3576-3592 (2023)

Subject Terms: Wind energy, VAWT, Guiding walls, Multi-fidelity, Optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484723001257; https://doaj.org/toc/2352-4847

Access URL: https://doaj.org/article/93ca81c846b448be972f3904273435e8

Unleashing the Potential of a Hybrid 3D Hydrodynamic Monte Carlo Risk Model for Maritime Structures' Design in the Imminent Climate Change Era.

Authors: Uğurlu, Arif Balas, Egemen Ander Balas, Can Elmar et al.

Source: Journal of Marine Science & Engineering; Jun2024, Vol. 12 Issue 6, p931, 35p

Subject Terms: MONTE Carlo method, UNDERWATER pipelines, OFFSHORE structures, MARINE west coast climate, ABSOLUTE sea level change, CLIMATE change, DEVELOPING countries

Uncertain optimization for initial disturbance of projectile for moving tank based on stochastic programming and deep learning surrogate model.

Authors: Li, Cong Yang, Guolai Wang, Xiuye et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Mar2024, Vol. 238 Issue 6, p1898-1910, 13p

Multidisciplinary robust and reliability-based design optimization of injection molding system.

Authors: Hasan, Nazmul Sarker, Pramiti Zaman, Kais

Source: International Journal on Interactive Design & Manufacturing; Dec2023, Vol. 17 Issue 6, p2957-2975, 19p

A radial sampling-based subregion partition method for dendrite network-based reliability analysis.

Authors: Lu, Li Wu, Yizhong Zhang, Qi et al.

Source: Engineering Optimization; Nov2023, Vol. 55 Issue 11, p1940-1959, 20p

Subject Terms: MACHINE learning

Robust and reliability-based design optimization of steel beams.

Alternate Title: Optymalizacja odpornościowa i niezawodnosciowa stalowych belek. (Polish)

Authors: Zabojszcza, Paweł Radoń, Urszula Tauzowski, Piotr

Source: Archives of Civil Engineering (Polish Academy of Sciences); 2023, Vol. 69 Issue 4, p125-140, 16p

Subject Terms: BUILDINGS, PRODUCTION control, RISK managers, CONSTRUCTION contractors, PRODUCTION scheduling

An Extreme-Value Event Approach for Frequency-Domain Performance Reliability.

Authors: Savage, Gordon J. Son, Young Kap

Source: IEEE Transactions on Reliability; Jun2016, Vol. 65 Issue 2, p1058-1068, 11p

Subject Terms: EXTREME value theory, FAULT tolerance (Engineering), FREQUENCY-domain analysis, PROBABILITY density function, RANDOM variables, INTEGRATED circuits

A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation.

Authors: Wu, Zihao Chen, Zhenzhong Chen, Ge et al.

Source: Journal of Mechanical Science & Technology; Sep2023, Vol. 37 Issue 9, p4787-4800, 14p

Subject Terms: STANDARD deviations, PROBLEM solving