A bio-inspired B-Spline Offset Feature for structural topology optimization

نویسندگان

چکیده

In this paper, we propose a B-Spline Offset Feature (BSOF) for feature-driven topology optimization. The feature is inspired from the geometric morphology of worms characterized by an elongated cylindrical, bilaterally symmetric, and well-segmented body along highly deformable directrix. B-spline used to define directrix with its outward inward offsets outlining BSOF. This definition endows BSOF high deformability such as self-folding self-intersection. To construct implicit level-set function (LSF), decomposed into sequence segments whose LSFs can easily be constructed Kreisselmeier–Steinhauser (KS) function. Regular or irregular shaped are identified deformation gradient. Irregular involving geometrical singularities, e.g. distorted concave segments, replaced convex hulls. stiffest structure design compliant mechanism synthesis studied illustrate effectiveness advantages proposed

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

Topology optimization in B-spline space

Abstract In this paper, we present a new form of density based topology optimization where the design space is restricted to the B-spline space. An arbitrarily shaped design domain is embedded into a rectangular domain in which tensor-product B-splines are used to represent the density field. We show that, with proper choice of B-spline degrees and knot spans, the B-spline design space is free ...

متن کامل

A BINARY LEVEL SET METHOD FOR STRUCTURAL TOPOLOGY OPTIMIZATION

This paper proposes an effective algorithm based on the level set method (LSM) to solve shape and topology optimization problems. Since the conventional LSM has several limitations, a binary level set method (BLSM) is used instead. In the BLSM, the level set function can only take 1 and -1 values at convergence. Thus, it is related to phase-field methods. We don’t need to solve the Hamilton-Jac...

متن کامل

Bio-inspired Optimization Algorithms for Clustering

One of the ways to improve the efficiency of Information Retrieval (IR) systems is through document clustering. The search result of an IR system can be grouped or clustered so that the retrieval is made faster. Efficiency of IR systems has to be improved without compromising the quality of clusters. This paper presents a comparative study of the quality of cluster results by solving the proble...

متن کامل

Optimization Using a New Bio-inspired Approach

There is growing interest in bio(logy)-inspired approaches that are inspired by the principles of biology and that can solve difficult problems. In this paper, we propose a new computational algorithm that is inspired by molecular mechanics for the solution of complex problems. There is a deep and useful connection between mechanics mechanics and combinatorial optimization. This connection expo...

متن کامل

A bio-inspired feature extraction for robust speech recognition

In this paper, a feature extraction method for robust speech recognition in noisy environments is proposed. The proposed method is motivated by a biologically inspired auditory model which simulates the outer/middle ear filtering by a low-pass filter and the spectral behaviour of the cochlea by the Gammachirp auditory filterbank (GcFB). The speech recognition performance of our method is tested...

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: Computer Methods in Applied Mechanics and Engineering

سال: 2021

ISSN: ['0045-7825', '1879-2138']

DOI: https://doi.org/10.1016/j.cma.2021.114081