Reduced Space Optimization-Based Evidence Theory Method for Response Analysis of Space-Coiled Acoustic Metamaterials with Epistemic Uncertainty

نویسندگان

چکیده

Acoustic metamaterials have been widely concerned by researchers because of their excellent sound absorption properties. Traditional uncertainty analysis methods for response acoustic with evidence variables limitations. The excessive time spent on repetitive extreme focal elements severely impedes the practical application theory. To reduce computational costs quantification under theory, a reduced space optimization-based theory method (RSO-ETM) is proposed. In RSO-ETM, simplified surrogate model first constructed modified adaptive arbitrary orthogonal polynomial (MAAOP) expansion method, and then, monotonicity surface examined to space. Subsequently, Newton iteration technique transformation boundary are used obtain points in space, through which over each element can be readily obtained. By using optimization avoided, correspondingly reduced. Two mathematical examples problems employed demonstrate practicality methods.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robustness-based portfolio optimization under epistemic uncertainty

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

متن کامل

The Optimization of Open- Space Based on Social Theory in Iran

The usage of social theories in the human-built environment caused to enhance life quality. It may consist of human needs in residential areas. Sometimes, building codes can help to exist accepted life space, but the building codes do not have basic theory such as actual open space in residential plots. The study was an attempt to represent a new approach in urban land subdivision and the relat...

متن کامل

Uncertainty analysis of hierarchical granular structures for multi-granulation typical hesitant fuzzy approximation space

Hierarchical structures and uncertainty measures are two main aspects in granular computing, approximate reasoning and cognitive process. Typical hesitant fuzzy sets, as a prime extension of fuzzy sets, are more flexible to reflect the hesitance and ambiguity in knowledge representation and decision making. In this paper, we mainly investigate the hierarchical structures and uncertainty measure...

متن کامل

TOPOLOGY OPTIMIZATION OF SPACE STRUCTURES USING ANT COLONY METHOD

In this article, the ant colony method is utilized for topology optimization of space structures. Strain energy of the structure is minimized while the material volume is limited to a certain amount. In other words, the stiffest possible structure is sought when certain given materials are used. In addition, a noise cleaning technique is addressed to prevent undesirable members in optimum topol...

متن کامل

A Discrete Hybrid Teaching-Learning-Based Optimization algorithm for optimization of space trusses

In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematical Problems in Engineering

سال: 2023

ISSN: ['1026-7077', '1563-5147', '1024-123X']

DOI: https://doi.org/10.1155/2023/9937158